[
 {
  "run_id": "af_AfrikaansEmotionalSpeechCorpus_hubert-base-ls960",
  "language": "Afrikaans",
  "language_folder": "Afrikaans",
  "iso": "af",
  "family": "Indo-European",
  "dataset": "AfrikaansEmotionalSpeechCorpus",
  "catalog_dataset": "AfrikaansSE",
  "catalog_entry": "AfrikaansSE.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.65,
  "test_accuracy": 0.67,
  "test_macro_precision": 0.62,
  "test_macro_recall": 0.64,
  "test_macro_f1": 0.62,
  "test_weighted_f1": 0.66,
  "test_f1_per_emotion": {
   "ANGER": 0.85,
   "FEAR": 0.35,
   "SADNESS": 0.67
  }
 },
 {
  "run_id": "af_AfrikaansEmotionalSpeechCorpus_hubert-large-ls960-ft",
  "language": "Afrikaans",
  "language_folder": "Afrikaans",
  "iso": "af",
  "family": "Indo-European",
  "dataset": "AfrikaansEmotionalSpeechCorpus",
  "catalog_dataset": "AfrikaansSE",
  "catalog_entry": "AfrikaansSE.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.32,
  "test_accuracy": 0.41,
  "test_macro_precision": 0.43,
  "test_macro_recall": 0.42,
  "test_macro_f1": 0.41,
  "test_weighted_f1": 0.41,
  "test_f1_per_emotion": {
   "ANGER": 0.39,
   "FEAR": 0.42,
   "SADNESS": 0.41
  }
 },
 {
  "run_id": "af_AfrikaansEmotionalSpeechCorpus_wav2vec2-base",
  "language": "Afrikaans",
  "language_folder": "Afrikaans",
  "iso": "af",
  "family": "Indo-European",
  "dataset": "AfrikaansEmotionalSpeechCorpus",
  "catalog_dataset": "AfrikaansSE",
  "catalog_entry": "AfrikaansSE.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.57,
  "test_accuracy": 0.66,
  "test_macro_precision": 0.71,
  "test_macro_recall": 0.72,
  "test_macro_f1": 0.67,
  "test_weighted_f1": 0.67,
  "test_f1_per_emotion": {
   "ANGER": 0.81,
   "FEAR": 0.55,
   "SADNESS": 0.64
  }
 },
 {
  "run_id": "af_AfrikaansEmotionalSpeechCorpus_wav2vec2-large-960h",
  "language": "Afrikaans",
  "language_folder": "Afrikaans",
  "iso": "af",
  "family": "Indo-European",
  "dataset": "AfrikaansEmotionalSpeechCorpus",
  "catalog_dataset": "AfrikaansSE",
  "catalog_entry": "AfrikaansSE.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.38,
  "test_accuracy": 0.43,
  "test_macro_precision": 0.54,
  "test_macro_recall": 0.47,
  "test_macro_f1": 0.41,
  "test_weighted_f1": 0.41,
  "test_f1_per_emotion": {
   "ANGER": 0.33,
   "FEAR": 0.49,
   "SADNESS": 0.43
  }
 },
 {
  "run_id": "af_AfrikaansEmotionalSpeechCorpus_wav2vec2-large-lv60",
  "language": "Afrikaans",
  "language_folder": "Afrikaans",
  "iso": "af",
  "family": "Indo-European",
  "dataset": "AfrikaansEmotionalSpeechCorpus",
  "catalog_dataset": "AfrikaansSE",
  "catalog_entry": "AfrikaansSE.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.36,
  "test_accuracy": 0.4,
  "test_macro_precision": 0.45,
  "test_macro_recall": 0.41,
  "test_macro_f1": 0.4,
  "test_weighted_f1": 0.4,
  "test_f1_per_emotion": {
   "ANGER": 0.43,
   "FEAR": 0.36,
   "SADNESS": 0.41
  }
 },
 {
  "run_id": "af_AfrikaansEmotionalSpeechCorpus_wav2vec2-xls-r-300m",
  "language": "Afrikaans",
  "language_folder": "Afrikaans",
  "iso": "af",
  "family": "Indo-European",
  "dataset": "AfrikaansEmotionalSpeechCorpus",
  "catalog_dataset": "AfrikaansSE",
  "catalog_entry": "AfrikaansSE.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.38,
  "test_accuracy": 0.37,
  "test_macro_precision": 0.39,
  "test_macro_recall": 0.38,
  "test_macro_f1": 0.37,
  "test_weighted_f1": 0.37,
  "test_f1_per_emotion": {
   "ANGER": 0.34,
   "FEAR": 0.38,
   "SADNESS": 0.38
  }
 },
 {
  "run_id": "af_AfrikaansEmotionalSpeechCorpus_wav2vec2-xls-r-1b",
  "language": "Afrikaans",
  "language_folder": "Afrikaans",
  "iso": "af",
  "family": "Indo-European",
  "dataset": "AfrikaansEmotionalSpeechCorpus",
  "catalog_dataset": "AfrikaansSE",
  "catalog_entry": "AfrikaansSE.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.35,
  "test_accuracy": 0.24,
  "test_macro_precision": 0.19,
  "test_macro_recall": 0.34,
  "test_macro_f1": 0.15,
  "test_weighted_f1": 0.11,
  "test_f1_per_emotion": {
   "ANGER": 0.0,
   "FEAR": 0.05,
   "SADNESS": 0.39
  }
 },
 {
  "run_id": "af_AfrikaansEmotionalSpeechCorpus_wavlm-base-plus",
  "language": "Afrikaans",
  "language_folder": "Afrikaans",
  "iso": "af",
  "family": "Indo-European",
  "dataset": "AfrikaansEmotionalSpeechCorpus",
  "catalog_dataset": "AfrikaansSE",
  "catalog_entry": "AfrikaansSE.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.53,
  "test_accuracy": 0.59,
  "test_macro_precision": 0.62,
  "test_macro_recall": 0.65,
  "test_macro_f1": 0.6,
  "test_weighted_f1": 0.6,
  "test_f1_per_emotion": {
   "ANGER": 0.7,
   "FEAR": 0.53,
   "SADNESS": 0.56
  }
 },
 {
  "run_id": "af_AfrikaansEmotionalSpeechCorpus_wavlm-large",
  "language": "Afrikaans",
  "language_folder": "Afrikaans",
  "iso": "af",
  "family": "Indo-European",
  "dataset": "AfrikaansEmotionalSpeechCorpus",
  "catalog_dataset": "AfrikaansSE",
  "catalog_entry": "AfrikaansSE.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.29,
  "test_accuracy": 0.63,
  "test_macro_precision": 0.65,
  "test_macro_recall": 0.58,
  "test_macro_f1": 0.58,
  "test_weighted_f1": 0.61,
  "test_f1_per_emotion": {
   "ANGER": 0.83,
   "FEAR": 0.28,
   "SADNESS": 0.65
  }
 },
 {
  "run_id": "af_AfrikaansEmotionalSpeechCorpus_whisper-small",
  "language": "Afrikaans",
  "language_folder": "Afrikaans",
  "iso": "af",
  "family": "Indo-European",
  "dataset": "AfrikaansEmotionalSpeechCorpus",
  "catalog_dataset": "AfrikaansSE",
  "catalog_entry": "AfrikaansSE.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.75,
  "test_accuracy": 0.71,
  "test_macro_precision": 0.71,
  "test_macro_recall": 0.71,
  "test_macro_f1": 0.7,
  "test_weighted_f1": 0.7,
  "test_f1_per_emotion": {
   "ANGER": 0.79,
   "FEAR": 0.57,
   "SADNESS": 0.74
  }
 },
 {
  "run_id": "af_AfrikaansEmotionalSpeechCorpus_whisper-large",
  "language": "Afrikaans",
  "language_folder": "Afrikaans",
  "iso": "af",
  "family": "Indo-European",
  "dataset": "AfrikaansEmotionalSpeechCorpus",
  "catalog_dataset": "AfrikaansSE",
  "catalog_entry": "AfrikaansSE.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.68,
  "test_accuracy": 0.65,
  "test_macro_precision": 0.64,
  "test_macro_recall": 0.66,
  "test_macro_f1": 0.63,
  "test_weighted_f1": 0.63,
  "test_f1_per_emotion": {
   "ANGER": 0.75,
   "FEAR": 0.46,
   "SADNESS": 0.69
  }
 },
 {
  "run_id": "am_ASED_hubert-base-ls960",
  "language": "Amharic",
  "language_folder": "Amharic",
  "iso": "am",
  "family": "Afro-Asiatic",
  "dataset": "ASED",
  "catalog_dataset": "Amharic Speech Emotion Dataset (ASED)",
  "catalog_entry": "ASED.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.88,
  "test_accuracy": 0.89,
  "test_macro_precision": 0.89,
  "test_macro_recall": 0.89,
  "test_macro_f1": 0.89,
  "test_weighted_f1": 0.89,
  "test_f1_per_emotion": {
   "ANGER": 0.89,
   "FEAR": 0.88,
   "HAPPINESS": 0.88,
   "NEUTRAL": 0.89,
   "SADNESS": 0.9
  }
 },
 {
  "run_id": "am_ASED_hubert-large-ls960-ft",
  "language": "Amharic",
  "language_folder": "Amharic",
  "iso": "am",
  "family": "Afro-Asiatic",
  "dataset": "ASED",
  "catalog_dataset": "Amharic Speech Emotion Dataset (ASED)",
  "catalog_entry": "ASED.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.64,
  "test_accuracy": 0.63,
  "test_macro_precision": 0.67,
  "test_macro_recall": 0.64,
  "test_macro_f1": 0.63,
  "test_weighted_f1": 0.63,
  "test_f1_per_emotion": {
   "ANGER": 0.58,
   "FEAR": 0.58,
   "HAPPINESS": 0.7,
   "NEUTRAL": 0.64,
   "SADNESS": 0.66
  }
 },
 {
  "run_id": "am_ASED_wav2vec2-base",
  "language": "Amharic",
  "language_folder": "Amharic",
  "iso": "am",
  "family": "Afro-Asiatic",
  "dataset": "ASED",
  "catalog_dataset": "Amharic Speech Emotion Dataset (ASED)",
  "catalog_entry": "ASED.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.75,
  "test_accuracy": 0.75,
  "test_macro_precision": 0.76,
  "test_macro_recall": 0.74,
  "test_macro_f1": 0.75,
  "test_weighted_f1": 0.75,
  "test_f1_per_emotion": {
   "ANGER": 0.69,
   "FEAR": 0.76,
   "HAPPINESS": 0.71,
   "NEUTRAL": 0.76,
   "SADNESS": 0.83
  }
 },
 {
  "run_id": "am_ASED_wav2vec2-large-960h",
  "language": "Amharic",
  "language_folder": "Amharic",
  "iso": "am",
  "family": "Afro-Asiatic",
  "dataset": "ASED",
  "catalog_dataset": "Amharic Speech Emotion Dataset (ASED)",
  "catalog_entry": "ASED.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.3,
  "test_accuracy": 0.32,
  "test_macro_precision": 0.48,
  "test_macro_recall": 0.34,
  "test_macro_f1": 0.27,
  "test_weighted_f1": 0.26,
  "test_f1_per_emotion": {
   "ANGER": 0.33,
   "FEAR": 0.05,
   "HAPPINESS": 0.43,
   "NEUTRAL": 0.4,
   "SADNESS": 0.16
  }
 },
 {
  "run_id": "am_ASED_wav2vec2-large-lv60",
  "language": "Amharic",
  "language_folder": "Amharic",
  "iso": "am",
  "family": "Afro-Asiatic",
  "dataset": "ASED",
  "catalog_dataset": "Amharic Speech Emotion Dataset (ASED)",
  "catalog_entry": "ASED.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.23,
  "test_accuracy": 0.27,
  "test_macro_precision": 0.29,
  "test_macro_recall": 0.28,
  "test_macro_f1": 0.25,
  "test_weighted_f1": 0.24,
  "test_f1_per_emotion": {
   "ANGER": 0.15,
   "FEAR": 0.11,
   "HAPPINESS": 0.22,
   "NEUTRAL": 0.35,
   "SADNESS": 0.42
  }
 },
 {
  "run_id": "am_ASED_wav2vec2-xls-r-300m",
  "language": "Amharic",
  "language_folder": "Amharic",
  "iso": "am",
  "family": "Afro-Asiatic",
  "dataset": "ASED",
  "catalog_dataset": "Amharic Speech Emotion Dataset (ASED)",
  "catalog_entry": "ASED.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.31,
  "test_accuracy": 0.32,
  "test_macro_precision": 0.31,
  "test_macro_recall": 0.32,
  "test_macro_f1": 0.29,
  "test_weighted_f1": 0.3,
  "test_f1_per_emotion": {
   "ANGER": 0.2,
   "FEAR": 0.34,
   "HAPPINESS": 0.37,
   "NEUTRAL": 0.42,
   "SADNESS": 0.14
  }
 },
 {
  "run_id": "am_ASED_wav2vec2-xls-r-1b",
  "language": "Amharic",
  "language_folder": "Amharic",
  "iso": "am",
  "family": "Afro-Asiatic",
  "dataset": "ASED",
  "catalog_dataset": "Amharic Speech Emotion Dataset (ASED)",
  "catalog_entry": "ASED.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.35,
  "test_accuracy": 0.4,
  "test_macro_precision": 0.45,
  "test_macro_recall": 0.39,
  "test_macro_f1": 0.32,
  "test_weighted_f1": 0.33,
  "test_f1_per_emotion": {
   "ANGER": 0.05,
   "FEAR": 0.19,
   "HAPPINESS": 0.5,
   "NEUTRAL": 0.53,
   "SADNESS": 0.35
  }
 },
 {
  "run_id": "am_ASED_wavlm-base-plus",
  "language": "Amharic",
  "language_folder": "Amharic",
  "iso": "am",
  "family": "Afro-Asiatic",
  "dataset": "ASED",
  "catalog_dataset": "Amharic Speech Emotion Dataset (ASED)",
  "catalog_entry": "ASED.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.87,
  "test_accuracy": 0.84,
  "test_macro_precision": 0.84,
  "test_macro_recall": 0.85,
  "test_macro_f1": 0.84,
  "test_weighted_f1": 0.84,
  "test_f1_per_emotion": {
   "ANGER": 0.85,
   "FEAR": 0.84,
   "HAPPINESS": 0.84,
   "NEUTRAL": 0.84,
   "SADNESS": 0.85
  }
 },
 {
  "run_id": "am_ASED_wavlm-large",
  "language": "Amharic",
  "language_folder": "Amharic",
  "iso": "am",
  "family": "Afro-Asiatic",
  "dataset": "ASED",
  "catalog_dataset": "Amharic Speech Emotion Dataset (ASED)",
  "catalog_entry": "ASED.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.8,
  "test_accuracy": 0.82,
  "test_macro_precision": 0.84,
  "test_macro_recall": 0.82,
  "test_macro_f1": 0.82,
  "test_weighted_f1": 0.82,
  "test_f1_per_emotion": {
   "ANGER": 0.85,
   "FEAR": 0.82,
   "HAPPINESS": 0.83,
   "NEUTRAL": 0.79,
   "SADNESS": 0.81
  }
 },
 {
  "run_id": "am_ASED_whisper-small",
  "language": "Amharic",
  "language_folder": "Amharic",
  "iso": "am",
  "family": "Afro-Asiatic",
  "dataset": "ASED",
  "catalog_dataset": "Amharic Speech Emotion Dataset (ASED)",
  "catalog_entry": "ASED.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.91,
  "test_accuracy": 0.9,
  "test_macro_precision": 0.9,
  "test_macro_recall": 0.9,
  "test_macro_f1": 0.9,
  "test_weighted_f1": 0.9,
  "test_f1_per_emotion": {
   "ANGER": 0.91,
   "FEAR": 0.86,
   "HAPPINESS": 0.91,
   "NEUTRAL": 0.91,
   "SADNESS": 0.9
  }
 },
 {
  "run_id": "am_ASED_whisper-large",
  "language": "Amharic",
  "language_folder": "Amharic",
  "iso": "am",
  "family": "Afro-Asiatic",
  "dataset": "ASED",
  "catalog_dataset": "Amharic Speech Emotion Dataset (ASED)",
  "catalog_entry": "ASED.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.88,
  "test_accuracy": 0.86,
  "test_macro_precision": 0.87,
  "test_macro_recall": 0.87,
  "test_macro_f1": 0.86,
  "test_weighted_f1": 0.86,
  "test_f1_per_emotion": {
   "ANGER": 0.87,
   "FEAR": 0.81,
   "HAPPINESS": 0.87,
   "NEUTRAL": 0.9,
   "SADNESS": 0.87
  }
 },
 {
  "run_id": "ar_ANAD_hubert-base-ls960",
  "language": "Arabic",
  "language_folder": "Arabic",
  "iso": "ar",
  "family": "Afro-Asiatic",
  "dataset": "ANAD",
  "catalog_dataset": "ANAD",
  "catalog_entry": "ANAD.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.63,
  "test_accuracy": 0.58,
  "test_macro_precision": 0.59,
  "test_macro_recall": 0.59,
  "test_macro_f1": 0.58,
  "test_weighted_f1": 0.58,
  "test_f1_per_emotion": {
   "ANGER": 0.57,
   "HAPPINESS": 0.59
  }
 },
 {
  "run_id": "ar_ANAD_hubert-large-ls960-ft",
  "language": "Arabic",
  "language_folder": "Arabic",
  "iso": "ar",
  "family": "Afro-Asiatic",
  "dataset": "ANAD",
  "catalog_dataset": "ANAD",
  "catalog_entry": "ANAD.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.64,
  "test_accuracy": 0.66,
  "test_macro_precision": 0.62,
  "test_macro_recall": 0.55,
  "test_macro_f1": 0.51,
  "test_weighted_f1": 0.59,
  "test_f1_per_emotion": {
   "ANGER": 0.78,
   "HAPPINESS": 0.25
  }
 },
 {
  "run_id": "ar_ANAD_wav2vec2-base",
  "language": "Arabic",
  "language_folder": "Arabic",
  "iso": "ar",
  "family": "Afro-Asiatic",
  "dataset": "ANAD",
  "catalog_dataset": "ANAD",
  "catalog_entry": "ANAD.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.62,
  "test_accuracy": 0.57,
  "test_macro_precision": 0.55,
  "test_macro_recall": 0.52,
  "test_macro_f1": 0.45,
  "test_weighted_f1": 0.48,
  "test_f1_per_emotion": {
   "ANGER": 0.71,
   "HAPPINESS": 0.18
  }
 },
 {
  "run_id": "ar_ANAD_wav2vec2-large-960h",
  "language": "Arabic",
  "language_folder": "Arabic",
  "iso": "ar",
  "family": "Afro-Asiatic",
  "dataset": "ANAD",
  "catalog_dataset": "ANAD",
  "catalog_entry": "ANAD.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.62,
  "test_accuracy": 0.65,
  "test_macro_precision": 0.6,
  "test_macro_recall": 0.56,
  "test_macro_f1": 0.54,
  "test_weighted_f1": 0.61,
  "test_f1_per_emotion": {
   "ANGER": 0.77,
   "HAPPINESS": 0.31
  }
 },
 {
  "run_id": "ar_ANAD_wav2vec2-large-lv60",
  "language": "Arabic",
  "language_folder": "Arabic",
  "iso": "ar",
  "family": "Afro-Asiatic",
  "dataset": "ANAD",
  "catalog_dataset": "ANAD",
  "catalog_entry": "ANAD.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.64,
  "test_accuracy": 0.64,
  "test_macro_precision": 0.32,
  "test_macro_recall": 0.5,
  "test_macro_f1": 0.39,
  "test_weighted_f1": 0.51,
  "test_f1_per_emotion": {
   "ANGER": 0.78,
   "HAPPINESS": 0.0
  }
 },
 {
  "run_id": "ar_ANAD_wav2vec2-xls-r-300m",
  "language": "Arabic",
  "language_folder": "Arabic",
  "iso": "ar",
  "family": "Afro-Asiatic",
  "dataset": "ANAD",
  "catalog_dataset": "ANAD",
  "catalog_entry": "ANAD.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.61,
  "test_accuracy": 0.61,
  "test_macro_precision": 0.5,
  "test_macro_recall": 0.5,
  "test_macro_f1": 0.46,
  "test_weighted_f1": 0.54,
  "test_f1_per_emotion": {
   "ANGER": 0.74,
   "HAPPINESS": 0.18
  }
 },
 {
  "run_id": "ar_ANAD_wav2vec2-xls-r-1b",
  "language": "Arabic",
  "language_folder": "Arabic",
  "iso": "ar",
  "family": "Afro-Asiatic",
  "dataset": "ANAD",
  "catalog_dataset": "ANAD",
  "catalog_entry": "ANAD.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.61,
  "test_accuracy": 0.63,
  "test_macro_precision": 0.52,
  "test_macro_recall": 0.51,
  "test_macro_f1": 0.47,
  "test_weighted_f1": 0.56,
  "test_f1_per_emotion": {
   "ANGER": 0.76,
   "HAPPINESS": 0.17
  }
 },
 {
  "run_id": "ar_ANAD_wavlm-base-plus",
  "language": "Arabic",
  "language_folder": "Arabic",
  "iso": "ar",
  "family": "Afro-Asiatic",
  "dataset": "ANAD",
  "catalog_dataset": "ANAD",
  "catalog_entry": "ANAD.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.66,
  "test_accuracy": 0.61,
  "test_macro_precision": 0.62,
  "test_macro_recall": 0.57,
  "test_macro_f1": 0.54,
  "test_weighted_f1": 0.57,
  "test_f1_per_emotion": {
   "ANGER": 0.72,
   "HAPPINESS": 0.36
  }
 },
 {
  "run_id": "ar_ANAD_wavlm-large",
  "language": "Arabic",
  "language_folder": "Arabic",
  "iso": "ar",
  "family": "Afro-Asiatic",
  "dataset": "ANAD",
  "catalog_dataset": "ANAD",
  "catalog_entry": "ANAD.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.66,
  "test_accuracy": 0.71,
  "test_macro_precision": 0.81,
  "test_macro_recall": 0.6,
  "test_macro_f1": 0.57,
  "test_weighted_f1": 0.64,
  "test_f1_per_emotion": {
   "ANGER": 0.81,
   "HAPPINESS": 0.33
  }
 },
 {
  "run_id": "ar_ANAD_whisper-small",
  "language": "Arabic",
  "language_folder": "Arabic",
  "iso": "ar",
  "family": "Afro-Asiatic",
  "dataset": "ANAD",
  "catalog_dataset": "ANAD",
  "catalog_entry": "ANAD.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.72,
  "test_accuracy": 0.79,
  "test_macro_precision": 0.78,
  "test_macro_recall": 0.77,
  "test_macro_f1": 0.78,
  "test_weighted_f1": 0.79,
  "test_f1_per_emotion": {
   "ANGER": 0.83,
   "HAPPINESS": 0.73
  }
 },
 {
  "run_id": "ar_ANAD_whisper-large",
  "language": "Arabic",
  "language_folder": "Arabic",
  "iso": "ar",
  "family": "Afro-Asiatic",
  "dataset": "ANAD",
  "catalog_dataset": "ANAD",
  "catalog_entry": "ANAD.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.78,
  "test_accuracy": 0.82,
  "test_macro_precision": 0.81,
  "test_macro_recall": 0.8,
  "test_macro_f1": 0.81,
  "test_weighted_f1": 0.81,
  "test_f1_per_emotion": {
   "ANGER": 0.85,
   "HAPPINESS": 0.77
  }
 },
 {
  "run_id": "bn_BANSpEmo_hubert-base-ls960",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "BANSpEmo",
  "catalog_dataset": "BANSpEmo",
  "catalog_entry": "BANSpEmo.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.52,
  "test_accuracy": 0.41,
  "test_macro_precision": 0.41,
  "test_macro_recall": 0.43,
  "test_macro_f1": 0.42,
  "test_weighted_f1": 0.41,
  "test_f1_per_emotion": {
   "ANGER": 0.55,
   "FEAR": 0.25,
   "HAPPINESS": 0.51,
   "SADNESS": 0.34
  }
 },
 {
  "run_id": "bn_BANSpEmo_hubert-large-ls960-ft",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "BANSpEmo",
  "catalog_dataset": "BANSpEmo",
  "catalog_entry": "BANSpEmo.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.24,
  "test_accuracy": 0.23,
  "test_macro_precision": 0.23,
  "test_macro_recall": 0.23,
  "test_macro_f1": 0.22,
  "test_weighted_f1": 0.22,
  "test_f1_per_emotion": {
   "ANGER": 0.16,
   "FEAR": 0.19,
   "HAPPINESS": 0.27,
   "SADNESS": 0.27
  }
 },
 {
  "run_id": "bn_BANSpEmo_wav2vec2-base",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "BANSpEmo",
  "catalog_dataset": "BANSpEmo",
  "catalog_entry": "BANSpEmo.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.41,
  "test_accuracy": 0.32,
  "test_macro_precision": 0.3,
  "test_macro_recall": 0.37,
  "test_macro_f1": 0.31,
  "test_weighted_f1": 0.3,
  "test_f1_per_emotion": {
   "ANGER": 0.43,
   "FEAR": 0.36,
   "HAPPINESS": 0.3,
   "SADNESS": 0.16
  }
 },
 {
  "run_id": "bn_BANSpEmo_wav2vec2-large-960h",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "BANSpEmo",
  "catalog_dataset": "BANSpEmo",
  "catalog_entry": "BANSpEmo.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.23,
  "test_accuracy": 0.23,
  "test_macro_precision": 0.26,
  "test_macro_recall": 0.24,
  "test_macro_f1": 0.23,
  "test_weighted_f1": 0.24,
  "test_f1_per_emotion": {
   "ANGER": 0.25,
   "FEAR": 0.2,
   "HAPPINESS": 0.26,
   "SADNESS": 0.23
  }
 },
 {
  "run_id": "bn_BANSpEmo_wav2vec2-large-lv60",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "BANSpEmo",
  "catalog_dataset": "BANSpEmo",
  "catalog_entry": "BANSpEmo.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.26,
  "test_accuracy": 0.25,
  "test_macro_precision": 0.26,
  "test_macro_recall": 0.26,
  "test_macro_f1": 0.25,
  "test_weighted_f1": 0.26,
  "test_f1_per_emotion": {
   "ANGER": 0.3,
   "FEAR": 0.21,
   "HAPPINESS": 0.26,
   "SADNESS": 0.25
  }
 },
 {
  "run_id": "bn_BANSpEmo_wav2vec2-xls-r-300m",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "BANSpEmo",
  "catalog_dataset": "BANSpEmo",
  "catalog_entry": "BANSpEmo.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.25,
  "test_accuracy": 0.23,
  "test_macro_precision": 0.24,
  "test_macro_recall": 0.24,
  "test_macro_f1": 0.23,
  "test_weighted_f1": 0.23,
  "test_f1_per_emotion": {
   "ANGER": 0.25,
   "FEAR": 0.21,
   "HAPPINESS": 0.27,
   "SADNESS": 0.2
  }
 },
 {
  "run_id": "bn_BANSpEmo_wav2vec2-xls-r-1b",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "BANSpEmo",
  "catalog_dataset": "BANSpEmo",
  "catalog_entry": "BANSpEmo.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.19,
  "test_accuracy": 0.26,
  "test_macro_precision": 0.27,
  "test_macro_recall": 0.26,
  "test_macro_f1": 0.25,
  "test_weighted_f1": 0.25,
  "test_f1_per_emotion": {
   "ANGER": 0.3,
   "FEAR": 0.23,
   "HAPPINESS": 0.17,
   "SADNESS": 0.29
  }
 },
 {
  "run_id": "bn_BANSpEmo_wavlm-base-plus",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "BANSpEmo",
  "catalog_dataset": "BANSpEmo",
  "catalog_entry": "BANSpEmo.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.49,
  "test_accuracy": 0.35,
  "test_macro_precision": 0.35,
  "test_macro_recall": 0.39,
  "test_macro_f1": 0.36,
  "test_weighted_f1": 0.35,
  "test_f1_per_emotion": {
   "ANGER": 0.48,
   "FEAR": 0.24,
   "HAPPINESS": 0.42,
   "SADNESS": 0.27
  }
 },
 {
  "run_id": "bn_BANSpEmo_wavlm-large",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "BANSpEmo",
  "catalog_dataset": "BANSpEmo",
  "catalog_entry": "BANSpEmo.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.41,
  "test_accuracy": 0.4,
  "test_macro_precision": 0.41,
  "test_macro_recall": 0.39,
  "test_macro_f1": 0.38,
  "test_weighted_f1": 0.39,
  "test_f1_per_emotion": {
   "ANGER": 0.6,
   "FEAR": 0.21,
   "HAPPINESS": 0.32,
   "SADNESS": 0.38
  }
 },
 {
  "run_id": "bn_BANSpEmo_whisper-small",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "BANSpEmo",
  "catalog_dataset": "BANSpEmo",
  "catalog_entry": "BANSpEmo.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.3,
  "test_accuracy": 0.38,
  "test_macro_precision": 0.36,
  "test_macro_recall": 0.36,
  "test_macro_f1": 0.34,
  "test_weighted_f1": 0.37,
  "test_f1_per_emotion": {
   "ANGER": 0.53,
   "FEAR": 0.3,
   "HAPPINESS": 0.12,
   "SADNESS": 0.4
  }
 },
 {
  "run_id": "bn_BANSpEmo_whisper-large",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "BANSpEmo",
  "catalog_dataset": "BANSpEmo",
  "catalog_entry": "BANSpEmo.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.35,
  "test_accuracy": 0.4,
  "test_macro_precision": 0.37,
  "test_macro_recall": 0.37,
  "test_macro_f1": 0.36,
  "test_weighted_f1": 0.39,
  "test_f1_per_emotion": {
   "ANGER": 0.56,
   "FEAR": 0.35,
   "HAPPINESS": 0.2,
   "SADNESS": 0.33
  }
 },
 {
  "run_id": "bn_SUBESCO_hubert-base-ls960",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "SUBESCO",
  "catalog_dataset": "SUBESCO",
  "catalog_entry": "SUBESCO.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.77,
  "test_accuracy": 0.78,
  "test_macro_precision": 0.8,
  "test_macro_recall": 0.78,
  "test_macro_f1": 0.78,
  "test_weighted_f1": 0.78,
  "test_f1_per_emotion": {
   "ANGER": 0.84,
   "FEAR": 0.79,
   "HAPPINESS": 0.77,
   "NEUTRAL": 0.82,
   "SADNESS": 0.71
  }
 },
 {
  "run_id": "bn_SUBESCO_hubert-large-ls960-ft",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "SUBESCO",
  "catalog_dataset": "SUBESCO",
  "catalog_entry": "SUBESCO.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.56,
  "test_accuracy": 0.54,
  "test_macro_precision": 0.58,
  "test_macro_recall": 0.55,
  "test_macro_f1": 0.53,
  "test_weighted_f1": 0.52,
  "test_f1_per_emotion": {
   "ANGER": 0.71,
   "FEAR": 0.54,
   "HAPPINESS": 0.43,
   "NEUTRAL": 0.58,
   "SADNESS": 0.39
  }
 },
 {
  "run_id": "bn_SUBESCO_wav2vec2-base",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "SUBESCO",
  "catalog_dataset": "SUBESCO",
  "catalog_entry": "SUBESCO.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.69,
  "test_accuracy": 0.68,
  "test_macro_precision": 0.71,
  "test_macro_recall": 0.69,
  "test_macro_f1": 0.68,
  "test_weighted_f1": 0.68,
  "test_f1_per_emotion": {
   "ANGER": 0.84,
   "FEAR": 0.73,
   "HAPPINESS": 0.56,
   "NEUTRAL": 0.7,
   "SADNESS": 0.58
  }
 },
 {
  "run_id": "bn_SUBESCO_wav2vec2-large-960h",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "SUBESCO",
  "catalog_dataset": "SUBESCO",
  "catalog_entry": "SUBESCO.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.24,
  "test_accuracy": 0.24,
  "test_macro_precision": 0.41,
  "test_macro_recall": 0.26,
  "test_macro_f1": 0.18,
  "test_weighted_f1": 0.17,
  "test_f1_per_emotion": {
   "ANGER": 0.17,
   "FEAR": 0.14,
   "HAPPINESS": 0.07,
   "NEUTRAL": 0.34,
   "SADNESS": 0.17
  }
 },
 {
  "run_id": "bn_SUBESCO_wav2vec2-large-lv60",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "SUBESCO",
  "catalog_dataset": "SUBESCO",
  "catalog_entry": "SUBESCO.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.28,
  "test_accuracy": 0.27,
  "test_macro_precision": 0.28,
  "test_macro_recall": 0.28,
  "test_macro_f1": 0.23,
  "test_weighted_f1": 0.22,
  "test_f1_per_emotion": {
   "ANGER": 0.39,
   "FEAR": 0.17,
   "HAPPINESS": 0.1,
   "NEUTRAL": 0.37,
   "SADNESS": 0.12
  }
 },
 {
  "run_id": "bn_SUBESCO_wav2vec2-xls-r-300m",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "SUBESCO",
  "catalog_dataset": "SUBESCO",
  "catalog_entry": "SUBESCO.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.51,
  "test_accuracy": 0.48,
  "test_macro_precision": 0.53,
  "test_macro_recall": 0.49,
  "test_macro_f1": 0.47,
  "test_weighted_f1": 0.47,
  "test_f1_per_emotion": {
   "ANGER": 0.61,
   "FEAR": 0.45,
   "HAPPINESS": 0.48,
   "NEUTRAL": 0.53,
   "SADNESS": 0.29
  }
 },
 {
  "run_id": "bn_SUBESCO_wav2vec2-xls-r-1b",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "SUBESCO",
  "catalog_dataset": "SUBESCO",
  "catalog_entry": "SUBESCO.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.36,
  "test_accuracy": 0.38,
  "test_macro_precision": 0.57,
  "test_macro_recall": 0.36,
  "test_macro_f1": 0.33,
  "test_weighted_f1": 0.34,
  "test_f1_per_emotion": {
   "ANGER": 0.18,
   "FEAR": 0.15,
   "HAPPINESS": 0.41,
   "NEUTRAL": 0.5,
   "SADNESS": 0.4
  }
 },
 {
  "run_id": "bn_SUBESCO_wavlm-base-plus",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "SUBESCO",
  "catalog_dataset": "SUBESCO",
  "catalog_entry": "SUBESCO.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.76,
  "test_accuracy": 0.78,
  "test_macro_precision": 0.78,
  "test_macro_recall": 0.78,
  "test_macro_f1": 0.77,
  "test_weighted_f1": 0.77,
  "test_f1_per_emotion": {
   "ANGER": 0.87,
   "FEAR": 0.76,
   "HAPPINESS": 0.73,
   "NEUTRAL": 0.82,
   "SADNESS": 0.69
  }
 },
 {
  "run_id": "bn_SUBESCO_wavlm-large",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "SUBESCO",
  "catalog_dataset": "SUBESCO",
  "catalog_entry": "SUBESCO.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.76,
  "test_accuracy": 0.74,
  "test_macro_precision": 0.78,
  "test_macro_recall": 0.75,
  "test_macro_f1": 0.74,
  "test_weighted_f1": 0.74,
  "test_f1_per_emotion": {
   "ANGER": 0.9,
   "FEAR": 0.66,
   "HAPPINESS": 0.78,
   "NEUTRAL": 0.74,
   "SADNESS": 0.62
  }
 },
 {
  "run_id": "bn_SUBESCO_whisper-small",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "SUBESCO",
  "catalog_dataset": "SUBESCO",
  "catalog_entry": "SUBESCO.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.88,
  "test_accuracy": 0.89,
  "test_macro_precision": 0.89,
  "test_macro_recall": 0.88,
  "test_macro_f1": 0.88,
  "test_weighted_f1": 0.89,
  "test_f1_per_emotion": {
   "ANGER": 0.92,
   "FEAR": 0.85,
   "HAPPINESS": 0.89,
   "NEUTRAL": 0.93,
   "SADNESS": 0.83
  }
 },
 {
  "run_id": "bn_SUBESCO_whisper-large",
  "language": "Bengali",
  "language_folder": "Bengali",
  "iso": "bn",
  "family": "Indo-European",
  "dataset": "SUBESCO",
  "catalog_dataset": "SUBESCO",
  "catalog_entry": "SUBESCO.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.88,
  "test_accuracy": 0.89,
  "test_macro_precision": 0.89,
  "test_macro_recall": 0.89,
  "test_macro_f1": 0.89,
  "test_weighted_f1": 0.89,
  "test_f1_per_emotion": {
   "ANGER": 0.95,
   "FEAR": 0.82,
   "HAPPINESS": 0.9,
   "NEUTRAL": 0.94,
   "SADNESS": 0.83
  }
 },
 {
  "run_id": "zh_ESD_hubert-base-ls960",
  "language": "Chinese",
  "language_folder": "Chinese",
  "iso": "zh",
  "family": "Sino-Tibetan",
  "dataset": "ESD",
  "catalog_dataset": "ESD",
  "catalog_entry": "ESD.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.93,
  "test_accuracy": 0.92,
  "test_macro_precision": 0.92,
  "test_macro_recall": 0.91,
  "test_macro_f1": 0.91,
  "test_weighted_f1": 0.91,
  "test_f1_per_emotion": {
   "ANGER": 0.88,
   "HAPPINESS": 0.9,
   "NEUTRAL": 0.92,
   "SADNESS": 0.95
  }
 },
 {
  "run_id": "zh_ESD_hubert-large-ls960-ft",
  "language": "Chinese",
  "language_folder": "Chinese",
  "iso": "zh",
  "family": "Sino-Tibetan",
  "dataset": "ESD",
  "catalog_dataset": "ESD",
  "catalog_entry": "ESD.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.75,
  "test_accuracy": 0.73,
  "test_macro_precision": 0.76,
  "test_macro_recall": 0.74,
  "test_macro_f1": 0.74,
  "test_weighted_f1": 0.73,
  "test_f1_per_emotion": {
   "ANGER": 0.73,
   "HAPPINESS": 0.62,
   "NEUTRAL": 0.74,
   "SADNESS": 0.85
  }
 },
 {
  "run_id": "zh_ESD_wav2vec2-base",
  "language": "Chinese",
  "language_folder": "Chinese",
  "iso": "zh",
  "family": "Sino-Tibetan",
  "dataset": "ESD",
  "catalog_dataset": "ESD",
  "catalog_entry": "ESD.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.91,
  "test_accuracy": 0.9,
  "test_macro_precision": 0.91,
  "test_macro_recall": 0.9,
  "test_macro_f1": 0.9,
  "test_weighted_f1": 0.9,
  "test_f1_per_emotion": {
   "ANGER": 0.84,
   "HAPPINESS": 0.86,
   "NEUTRAL": 0.93,
   "SADNESS": 0.95
  }
 },
 {
  "run_id": "zh_ESD_wav2vec2-large-960h",
  "language": "Chinese",
  "language_folder": "Chinese",
  "iso": "zh",
  "family": "Sino-Tibetan",
  "dataset": "ESD",
  "catalog_dataset": "ESD",
  "catalog_entry": "ESD.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.45,
  "test_accuracy": 0.45,
  "test_macro_precision": 0.59,
  "test_macro_recall": 0.45,
  "test_macro_f1": 0.42,
  "test_weighted_f1": 0.42,
  "test_f1_per_emotion": {
   "ANGER": 0.53,
   "HAPPINESS": 0.21,
   "NEUTRAL": 0.51,
   "SADNESS": 0.44
  }
 },
 {
  "run_id": "zh_ESD_wav2vec2-large-lv60",
  "language": "Chinese",
  "language_folder": "Chinese",
  "iso": "zh",
  "family": "Sino-Tibetan",
  "dataset": "ESD",
  "catalog_dataset": "ESD",
  "catalog_entry": "ESD.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.28,
  "test_accuracy": 0.28,
  "test_macro_precision": 0.23,
  "test_macro_recall": 0.28,
  "test_macro_f1": 0.18,
  "test_weighted_f1": 0.18,
  "test_f1_per_emotion": {
   "ANGER": 0.07,
   "HAPPINESS": 0.0,
   "NEUTRAL": 0.43,
   "SADNESS": 0.21
  }
 },
 {
  "run_id": "zh_ESD_wav2vec2-xls-r-300m",
  "language": "Chinese",
  "language_folder": "Chinese",
  "iso": "zh",
  "family": "Sino-Tibetan",
  "dataset": "ESD",
  "catalog_dataset": "ESD",
  "catalog_entry": "ESD.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.62,
  "test_accuracy": 0.59,
  "test_macro_precision": 0.72,
  "test_macro_recall": 0.59,
  "test_macro_f1": 0.58,
  "test_weighted_f1": 0.58,
  "test_f1_per_emotion": {
   "ANGER": 0.45,
   "HAPPINESS": 0.57,
   "NEUTRAL": 0.65,
   "SADNESS": 0.64
  }
 },
 {
  "run_id": "zh_ESD_wav2vec2-xls-r-1b",
  "language": "Chinese",
  "language_folder": "Chinese",
  "iso": "zh",
  "family": "Sino-Tibetan",
  "dataset": "ESD",
  "catalog_dataset": "ESD",
  "catalog_entry": "ESD.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.7,
  "test_accuracy": 0.68,
  "test_macro_precision": 0.74,
  "test_macro_recall": 0.69,
  "test_macro_f1": 0.68,
  "test_weighted_f1": 0.68,
  "test_f1_per_emotion": {
   "ANGER": 0.55,
   "HAPPINESS": 0.62,
   "NEUTRAL": 0.7,
   "SADNESS": 0.84
  }
 },
 {
  "run_id": "zh_ESD_wavlm-base-plus",
  "language": "Chinese",
  "language_folder": "Chinese",
  "iso": "zh",
  "family": "Sino-Tibetan",
  "dataset": "ESD",
  "catalog_dataset": "ESD",
  "catalog_entry": "ESD.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.91,
  "test_accuracy": 0.9,
  "test_macro_precision": 0.9,
  "test_macro_recall": 0.9,
  "test_macro_f1": 0.9,
  "test_weighted_f1": 0.9,
  "test_f1_per_emotion": {
   "ANGER": 0.88,
   "HAPPINESS": 0.87,
   "NEUTRAL": 0.91,
   "SADNESS": 0.94
  }
 },
 {
  "run_id": "zh_ESD_wavlm-large",
  "language": "Chinese",
  "language_folder": "Chinese",
  "iso": "zh",
  "family": "Sino-Tibetan",
  "dataset": "ESD",
  "catalog_dataset": "ESD",
  "catalog_entry": "ESD.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.9,
  "test_accuracy": 0.91,
  "test_macro_precision": 0.91,
  "test_macro_recall": 0.91,
  "test_macro_f1": 0.91,
  "test_weighted_f1": 0.91,
  "test_f1_per_emotion": {
   "ANGER": 0.9,
   "HAPPINESS": 0.87,
   "NEUTRAL": 0.89,
   "SADNESS": 0.96
  }
 },
 {
  "run_id": "zh_ESD_whisper-small",
  "language": "Chinese",
  "language_folder": "Chinese",
  "iso": "zh",
  "family": "Sino-Tibetan",
  "dataset": "ESD",
  "catalog_dataset": "ESD",
  "catalog_entry": "ESD.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.97,
  "test_accuracy": 0.97,
  "test_macro_precision": 0.97,
  "test_macro_recall": 0.97,
  "test_macro_f1": 0.97,
  "test_weighted_f1": 0.97,
  "test_f1_per_emotion": {
   "ANGER": 0.96,
   "HAPPINESS": 0.96,
   "NEUTRAL": 0.98,
   "SADNESS": 0.99
  }
 },
 {
  "run_id": "zh_ESD_whisper-large",
  "language": "Chinese",
  "language_folder": "Chinese",
  "iso": "zh",
  "family": "Sino-Tibetan",
  "dataset": "ESD",
  "catalog_dataset": "ESD",
  "catalog_entry": "ESD.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.98,
  "test_accuracy": 0.98,
  "test_macro_precision": 0.98,
  "test_macro_recall": 0.98,
  "test_macro_f1": 0.98,
  "test_weighted_f1": 0.98,
  "test_f1_per_emotion": {
   "ANGER": 0.98,
   "HAPPINESS": 0.98,
   "NEUTRAL": 0.99,
   "SADNESS": 0.99
  }
 },
 {
  "run_id": "en_IESC_hubert-base-ls960",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "IESC",
  "catalog_dataset": "IESC",
  "catalog_entry": "IESC.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.82,
  "test_accuracy": 0.82,
  "test_macro_precision": 0.82,
  "test_macro_recall": 0.83,
  "test_macro_f1": 0.81,
  "test_weighted_f1": 0.82,
  "test_f1_per_emotion": {
   "ANGER": 0.84,
   "FEAR": 0.8,
   "HAPPINESS": 0.78,
   "NEUTRAL": 0.79,
   "SADNESS": 0.86
  }
 },
 {
  "run_id": "en_IESC_hubert-large-ls960-ft",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "IESC",
  "catalog_dataset": "IESC",
  "catalog_entry": "IESC.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.45,
  "test_accuracy": 0.53,
  "test_macro_precision": 0.54,
  "test_macro_recall": 0.51,
  "test_macro_f1": 0.49,
  "test_weighted_f1": 0.52,
  "test_f1_per_emotion": {
   "ANGER": 0.64,
   "FEAR": 0.37,
   "HAPPINESS": 0.19,
   "NEUTRAL": 0.63,
   "SADNESS": 0.61
  }
 },
 {
  "run_id": "en_IESC_wav2vec2-base",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "IESC",
  "catalog_dataset": "IESC",
  "catalog_entry": "IESC.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.7,
  "test_accuracy": 0.66,
  "test_macro_precision": 0.67,
  "test_macro_recall": 0.67,
  "test_macro_f1": 0.66,
  "test_weighted_f1": 0.66,
  "test_f1_per_emotion": {
   "ANGER": 0.72,
   "FEAR": 0.6,
   "HAPPINESS": 0.6,
   "NEUTRAL": 0.72,
   "SADNESS": 0.64
  }
 },
 {
  "run_id": "en_IESC_wav2vec2-large-960h",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "IESC",
  "catalog_dataset": "IESC",
  "catalog_entry": "IESC.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.28,
  "test_accuracy": 0.31,
  "test_macro_precision": 0.38,
  "test_macro_recall": 0.29,
  "test_macro_f1": 0.27,
  "test_weighted_f1": 0.28,
  "test_f1_per_emotion": {
   "ANGER": 0.39,
   "FEAR": 0.15,
   "HAPPINESS": 0.1,
   "NEUTRAL": 0.29,
   "SADNESS": 0.41
  }
 },
 {
  "run_id": "en_IESC_wav2vec2-large-lv60",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "IESC",
  "catalog_dataset": "IESC",
  "catalog_entry": "IESC.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.21,
  "test_accuracy": 0.25,
  "test_macro_precision": 0.29,
  "test_macro_recall": 0.22,
  "test_macro_f1": 0.2,
  "test_weighted_f1": 0.22,
  "test_f1_per_emotion": {
   "ANGER": 0.24,
   "FEAR": 0.13,
   "HAPPINESS": 0.14,
   "NEUTRAL": 0.37,
   "SADNESS": 0.14
  }
 },
 {
  "run_id": "en_IESC_wav2vec2-xls-r-300m",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "IESC",
  "catalog_dataset": "IESC",
  "catalog_entry": "IESC.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.26,
  "test_accuracy": 0.25,
  "test_macro_precision": 0.3,
  "test_macro_recall": 0.26,
  "test_macro_f1": 0.24,
  "test_weighted_f1": 0.25,
  "test_f1_per_emotion": {
   "ANGER": 0.31,
   "FEAR": 0.22,
   "HAPPINESS": 0.21,
   "NEUTRAL": 0.27,
   "SADNESS": 0.21
  }
 },
 {
  "run_id": "en_IESC_wav2vec2-xls-r-1b",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "IESC",
  "catalog_dataset": "IESC",
  "catalog_entry": "IESC.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.28,
  "test_accuracy": 0.24,
  "test_macro_precision": 0.34,
  "test_macro_recall": 0.27,
  "test_macro_f1": 0.22,
  "test_weighted_f1": 0.22,
  "test_f1_per_emotion": {
   "ANGER": 0.12,
   "FEAR": 0.34,
   "HAPPINESS": 0.22,
   "NEUTRAL": 0.11,
   "SADNESS": 0.29
  }
 },
 {
  "run_id": "en_IESC_wavlm-base-plus",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "IESC",
  "catalog_dataset": "IESC",
  "catalog_entry": "IESC.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.7,
  "test_accuracy": 0.78,
  "test_macro_precision": 0.79,
  "test_macro_recall": 0.8,
  "test_macro_f1": 0.78,
  "test_weighted_f1": 0.78,
  "test_f1_per_emotion": {
   "ANGER": 0.9,
   "FEAR": 0.75,
   "HAPPINESS": 0.78,
   "NEUTRAL": 0.74,
   "SADNESS": 0.73
  }
 },
 {
  "run_id": "en_IESC_wavlm-large",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "IESC",
  "catalog_dataset": "IESC",
  "catalog_entry": "IESC.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.76,
  "test_accuracy": 0.81,
  "test_macro_precision": 0.8,
  "test_macro_recall": 0.79,
  "test_macro_f1": 0.79,
  "test_weighted_f1": 0.8,
  "test_f1_per_emotion": {
   "ANGER": 0.9,
   "FEAR": 0.63,
   "HAPPINESS": 0.79,
   "NEUTRAL": 0.88,
   "SADNESS": 0.73
  }
 },
 {
  "run_id": "en_IESC_whisper-small",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "IESC",
  "catalog_dataset": "IESC",
  "catalog_entry": "IESC.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.78,
  "test_accuracy": 0.71,
  "test_macro_precision": 0.69,
  "test_macro_recall": 0.7,
  "test_macro_f1": 0.69,
  "test_weighted_f1": 0.71,
  "test_f1_per_emotion": {
   "ANGER": 0.88,
   "FEAR": 0.6,
   "HAPPINESS": 0.73,
   "NEUTRAL": 0.66,
   "SADNESS": 0.56
  }
 },
 {
  "run_id": "en_IESC_whisper-large",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "IESC",
  "catalog_dataset": "IESC",
  "catalog_entry": "IESC.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.79,
  "test_accuracy": 0.74,
  "test_macro_precision": 0.74,
  "test_macro_recall": 0.74,
  "test_macro_f1": 0.73,
  "test_weighted_f1": 0.74,
  "test_f1_per_emotion": {
   "ANGER": 0.81,
   "FEAR": 0.7,
   "HAPPINESS": 0.77,
   "NEUTRAL": 0.74,
   "SADNESS": 0.65
  }
 },
 {
  "run_id": "en_RAVDESS_hubert-base-ls960",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "RAVDESS",
  "catalog_dataset": "RAVDESS",
  "catalog_entry": "RAVDESS.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.65,
  "test_accuracy": 0.65,
  "test_macro_precision": 0.66,
  "test_macro_recall": 0.68,
  "test_macro_f1": 0.65,
  "test_weighted_f1": 0.64,
  "test_f1_per_emotion": {
   "ANGER": 0.86,
   "FEAR": 0.5,
   "HAPPINESS": 0.59,
   "NEUTRAL": 0.71,
   "SADNESS": 0.6
  }
 },
 {
  "run_id": "en_RAVDESS_hubert-large-ls960-ft",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "RAVDESS",
  "catalog_dataset": "RAVDESS",
  "catalog_entry": "RAVDESS.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.34,
  "test_accuracy": 0.35,
  "test_macro_precision": 0.43,
  "test_macro_recall": 0.45,
  "test_macro_f1": 0.34,
  "test_weighted_f1": 0.33,
  "test_f1_per_emotion": {
   "ANGER": 0.53,
   "FEAR": 0.58,
   "HAPPINESS": 0.28,
   "NEUTRAL": 0.26,
   "SADNESS": 0.06
  }
 },
 {
  "run_id": "en_RAVDESS_wav2vec2-base",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "RAVDESS",
  "catalog_dataset": "RAVDESS",
  "catalog_entry": "RAVDESS.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.51,
  "test_accuracy": 0.59,
  "test_macro_precision": 0.59,
  "test_macro_recall": 0.57,
  "test_macro_f1": 0.58,
  "test_weighted_f1": 0.59,
  "test_f1_per_emotion": {
   "ANGER": 0.88,
   "FEAR": 0.59,
   "HAPPINESS": 0.44,
   "NEUTRAL": 0.51,
   "SADNESS": 0.46
  }
 },
 {
  "run_id": "en_RAVDESS_wav2vec2-large-960h",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "RAVDESS",
  "catalog_dataset": "RAVDESS",
  "catalog_entry": "RAVDESS.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.13,
  "test_accuracy": 0.15,
  "test_macro_precision": 0.12,
  "test_macro_recall": 0.21,
  "test_macro_f1": 0.12,
  "test_weighted_f1": 0.12,
  "test_f1_per_emotion": {
   "ANGER": 0.0,
   "FEAR": 0.0,
   "HAPPINESS": 0.25,
   "NEUTRAL": 0.13,
   "SADNESS": 0.21
  }
 },
 {
  "run_id": "en_RAVDESS_wav2vec2-large-lv60",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "RAVDESS",
  "catalog_dataset": "RAVDESS",
  "catalog_entry": "RAVDESS.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.23,
  "test_accuracy": 0.27,
  "test_macro_precision": 0.2,
  "test_macro_recall": 0.22,
  "test_macro_f1": 0.21,
  "test_weighted_f1": 0.25,
  "test_f1_per_emotion": {
   "ANGER": 0.13,
   "FEAR": 0.31,
   "HAPPINESS": 0.27,
   "NEUTRAL": 0.0,
   "SADNESS": 0.32
  }
 },
 {
  "run_id": "en_RAVDESS_wav2vec2-xls-r-300m",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "RAVDESS",
  "catalog_dataset": "RAVDESS",
  "catalog_entry": "RAVDESS.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.31,
  "test_accuracy": 0.34,
  "test_macro_precision": 0.31,
  "test_macro_recall": 0.28,
  "test_macro_f1": 0.27,
  "test_weighted_f1": 0.32,
  "test_f1_per_emotion": {
   "ANGER": 0.21,
   "FEAR": 0.38,
   "HAPPINESS": 0.28,
   "NEUTRAL": 0.01,
   "SADNESS": 0.45
  }
 },
 {
  "run_id": "en_RAVDESS_wav2vec2-xls-r-1b",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "RAVDESS",
  "catalog_dataset": "RAVDESS",
  "catalog_entry": "RAVDESS.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.22,
  "test_accuracy": 0.23,
  "test_macro_precision": 0.21,
  "test_macro_recall": 0.21,
  "test_macro_f1": 0.18,
  "test_weighted_f1": 0.21,
  "test_f1_per_emotion": {
   "ANGER": 0.15,
   "FEAR": 0.31,
   "HAPPINESS": 0.26,
   "NEUTRAL": 0.0,
   "SADNESS": 0.21
  }
 },
 {
  "run_id": "en_RAVDESS_wavlm-base-plus",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "RAVDESS",
  "catalog_dataset": "RAVDESS",
  "catalog_entry": "RAVDESS.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.68,
  "test_accuracy": 0.69,
  "test_macro_precision": 0.68,
  "test_macro_recall": 0.71,
  "test_macro_f1": 0.69,
  "test_weighted_f1": 0.69,
  "test_f1_per_emotion": {
   "ANGER": 0.87,
   "FEAR": 0.66,
   "HAPPINESS": 0.56,
   "NEUTRAL": 0.75,
   "SADNESS": 0.62
  }
 },
 {
  "run_id": "en_RAVDESS_wavlm-large",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "RAVDESS",
  "catalog_dataset": "RAVDESS",
  "catalog_entry": "RAVDESS.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.66,
  "test_accuracy": 0.55,
  "test_macro_precision": 0.61,
  "test_macro_recall": 0.63,
  "test_macro_f1": 0.54,
  "test_weighted_f1": 0.55,
  "test_f1_per_emotion": {
   "ANGER": 0.84,
   "FEAR": 0.54,
   "HAPPINESS": 0.54,
   "NEUTRAL": 0.38,
   "SADNESS": 0.39
  }
 },
 {
  "run_id": "en_RAVDESS_whisper-small",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "RAVDESS",
  "catalog_dataset": "RAVDESS",
  "catalog_entry": "RAVDESS.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.7,
  "test_accuracy": 0.61,
  "test_macro_precision": 0.57,
  "test_macro_recall": 0.64,
  "test_macro_f1": 0.58,
  "test_weighted_f1": 0.62,
  "test_f1_per_emotion": {
   "ANGER": 0.7,
   "FEAR": 0.63,
   "HAPPINESS": 0.61,
   "NEUTRAL": 0.37,
   "SADNESS": 0.59
  }
 },
 {
  "run_id": "en_RAVDESS_whisper-large",
  "language": "English",
  "language_folder": "English",
  "iso": "en",
  "family": "Indo-European",
  "dataset": "RAVDESS",
  "catalog_dataset": "RAVDESS",
  "catalog_entry": "RAVDESS.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.75,
  "test_accuracy": 0.68,
  "test_macro_precision": 0.63,
  "test_macro_recall": 0.69,
  "test_macro_f1": 0.64,
  "test_weighted_f1": 0.68,
  "test_f1_per_emotion": {
   "ANGER": 0.77,
   "FEAR": 0.69,
   "HAPPINESS": 0.7,
   "NEUTRAL": 0.4,
   "SADNESS": 0.65
  }
 },
 {
  "run_id": "fr_CaFE_hubert-base-ls960",
  "language": "French",
  "language_folder": "French",
  "iso": "fr",
  "family": "Indo-European",
  "dataset": "CaFE",
  "catalog_dataset": "CaFE",
  "catalog_entry": "CaFE.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.64,
  "test_accuracy": 0.6,
  "test_macro_precision": 0.63,
  "test_macro_recall": 0.62,
  "test_macro_f1": 0.6,
  "test_weighted_f1": 0.6,
  "test_f1_per_emotion": {
   "ANGER": 0.71,
   "FEAR": 0.58,
   "HAPPINESS": 0.47,
   "SADNESS": 0.63
  }
 },
 {
  "run_id": "fr_CaFE_hubert-large-ls960-ft",
  "language": "French",
  "language_folder": "French",
  "iso": "fr",
  "family": "Indo-European",
  "dataset": "CaFE",
  "catalog_dataset": "CaFE",
  "catalog_entry": "CaFE.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.33,
  "test_accuracy": 0.33,
  "test_macro_precision": 0.35,
  "test_macro_recall": 0.34,
  "test_macro_f1": 0.32,
  "test_weighted_f1": 0.33,
  "test_f1_per_emotion": {
   "ANGER": 0.29,
   "FEAR": 0.32,
   "HAPPINESS": 0.38,
   "SADNESS": 0.31
  }
 },
 {
  "run_id": "fr_CaFE_wav2vec2-base",
  "language": "French",
  "language_folder": "French",
  "iso": "fr",
  "family": "Indo-European",
  "dataset": "CaFE",
  "catalog_dataset": "CaFE",
  "catalog_entry": "CaFE.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.46,
  "test_accuracy": 0.38,
  "test_macro_precision": 0.37,
  "test_macro_recall": 0.4,
  "test_macro_f1": 0.36,
  "test_weighted_f1": 0.35,
  "test_f1_per_emotion": {
   "ANGER": 0.53,
   "FEAR": 0.25,
   "HAPPINESS": 0.16,
   "SADNESS": 0.48
  }
 },
 {
  "run_id": "fr_CaFE_wav2vec2-large-960h",
  "language": "French",
  "language_folder": "French",
  "iso": "fr",
  "family": "Indo-European",
  "dataset": "CaFE",
  "catalog_dataset": "CaFE",
  "catalog_entry": "CaFE.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.26,
  "test_accuracy": 0.24,
  "test_macro_precision": 0.34,
  "test_macro_recall": 0.28,
  "test_macro_f1": 0.22,
  "test_weighted_f1": 0.21,
  "test_f1_per_emotion": {
   "ANGER": 0.1,
   "FEAR": 0.31,
   "HAPPINESS": 0.19,
   "SADNESS": 0.28
  }
 },
 {
  "run_id": "fr_CaFE_wav2vec2-large-lv60",
  "language": "French",
  "language_folder": "French",
  "iso": "fr",
  "family": "Indo-European",
  "dataset": "CaFE",
  "catalog_dataset": "CaFE",
  "catalog_entry": "CaFE.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.2,
  "test_accuracy": 0.21,
  "test_macro_precision": 0.25,
  "test_macro_recall": 0.25,
  "test_macro_f1": 0.17,
  "test_weighted_f1": 0.15,
  "test_f1_per_emotion": {
   "ANGER": 0.15,
   "FEAR": 0.31,
   "HAPPINESS": 0.06,
   "SADNESS": 0.15
  }
 },
 {
  "run_id": "fr_CaFE_wav2vec2-xls-r-300m",
  "language": "French",
  "language_folder": "French",
  "iso": "fr",
  "family": "Indo-European",
  "dataset": "CaFE",
  "catalog_dataset": "CaFE",
  "catalog_entry": "CaFE.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.29,
  "test_accuracy": 0.25,
  "test_macro_precision": 0.2,
  "test_macro_recall": 0.29,
  "test_macro_f1": 0.21,
  "test_weighted_f1": 0.19,
  "test_f1_per_emotion": {
   "ANGER": 0.0,
   "FEAR": 0.27,
   "HAPPINESS": 0.18,
   "SADNESS": 0.38
  }
 },
 {
  "run_id": "fr_CaFE_wav2vec2-xls-r-1b",
  "language": "French",
  "language_folder": "French",
  "iso": "fr",
  "family": "Indo-European",
  "dataset": "CaFE",
  "catalog_dataset": "CaFE",
  "catalog_entry": "CaFE.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.26,
  "test_accuracy": 0.25,
  "test_macro_precision": 0.27,
  "test_macro_recall": 0.26,
  "test_macro_f1": 0.19,
  "test_weighted_f1": 0.18,
  "test_f1_per_emotion": {
   "ANGER": 0.03,
   "FEAR": 0.15,
   "HAPPINESS": 0.22,
   "SADNESS": 0.36
  }
 },
 {
  "run_id": "fr_CaFE_wavlm-base-plus",
  "language": "French",
  "language_folder": "French",
  "iso": "fr",
  "family": "Indo-European",
  "dataset": "CaFE",
  "catalog_dataset": "CaFE",
  "catalog_entry": "CaFE.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.53,
  "test_accuracy": 0.53,
  "test_macro_precision": 0.53,
  "test_macro_recall": 0.53,
  "test_macro_f1": 0.52,
  "test_weighted_f1": 0.53,
  "test_f1_per_emotion": {
   "ANGER": 0.66,
   "FEAR": 0.55,
   "HAPPINESS": 0.27,
   "SADNESS": 0.6
  }
 },
 {
  "run_id": "fr_CaFE_wavlm-large",
  "language": "French",
  "language_folder": "French",
  "iso": "fr",
  "family": "Indo-European",
  "dataset": "CaFE",
  "catalog_dataset": "CaFE",
  "catalog_entry": "CaFE.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.72,
  "test_accuracy": 0.7,
  "test_macro_precision": 0.69,
  "test_macro_recall": 0.69,
  "test_macro_f1": 0.69,
  "test_weighted_f1": 0.7,
  "test_f1_per_emotion": {
   "ANGER": 0.8,
   "FEAR": 0.61,
   "HAPPINESS": 0.67,
   "SADNESS": 0.69
  }
 },
 {
  "run_id": "fr_CaFE_whisper-small",
  "language": "French",
  "language_folder": "French",
  "iso": "fr",
  "family": "Indo-European",
  "dataset": "CaFE",
  "catalog_dataset": "CaFE",
  "catalog_entry": "CaFE.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.55,
  "test_accuracy": 0.61,
  "test_macro_precision": 0.6,
  "test_macro_recall": 0.61,
  "test_macro_f1": 0.6,
  "test_weighted_f1": 0.6,
  "test_f1_per_emotion": {
   "ANGER": 0.69,
   "FEAR": 0.42,
   "HAPPINESS": 0.6,
   "SADNESS": 0.68
  }
 },
 {
  "run_id": "fr_CaFE_whisper-large",
  "language": "French",
  "language_folder": "French",
  "iso": "fr",
  "family": "Indo-European",
  "dataset": "CaFE",
  "catalog_dataset": "CaFE",
  "catalog_entry": "CaFE.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.49,
  "test_accuracy": 0.53,
  "test_macro_precision": 0.53,
  "test_macro_recall": 0.53,
  "test_macro_f1": 0.52,
  "test_weighted_f1": 0.53,
  "test_f1_per_emotion": {
   "ANGER": 0.62,
   "FEAR": 0.38,
   "HAPPINESS": 0.49,
   "SADNESS": 0.61
  }
 },
 {
  "run_id": "de_EmoDB_hubert-base-ls960",
  "language": "German",
  "language_folder": "German",
  "iso": "de",
  "family": "Indo-European",
  "dataset": "EmoDB",
  "catalog_dataset": "EmoDB",
  "catalog_entry": "EmoDB.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.75,
  "test_accuracy": 0.78,
  "test_macro_precision": 0.78,
  "test_macro_recall": 0.76,
  "test_macro_f1": 0.76,
  "test_weighted_f1": 0.78,
  "test_f1_per_emotion": {
   "ANGER": 0.81,
   "FEAR": 0.64,
   "HAPPINESS": 0.64,
   "NEUTRAL": 0.81,
   "SADNESS": 0.92
  }
 },
 {
  "run_id": "de_EmoDB_hubert-large-ls960-ft",
  "language": "German",
  "language_folder": "German",
  "iso": "de",
  "family": "Indo-European",
  "dataset": "EmoDB",
  "catalog_dataset": "EmoDB",
  "catalog_entry": "EmoDB.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.43,
  "test_accuracy": 0.44,
  "test_macro_precision": 0.48,
  "test_macro_recall": 0.45,
  "test_macro_f1": 0.39,
  "test_weighted_f1": 0.38,
  "test_f1_per_emotion": {
   "ANGER": 0.57,
   "FEAR": 0.35,
   "HAPPINESS": 0.04,
   "NEUTRAL": 0.5,
   "SADNESS": 0.49
  }
 },
 {
  "run_id": "de_EmoDB_wav2vec2-base",
  "language": "German",
  "language_folder": "German",
  "iso": "de",
  "family": "Indo-European",
  "dataset": "EmoDB",
  "catalog_dataset": "EmoDB",
  "catalog_entry": "EmoDB.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.68,
  "test_accuracy": 0.7,
  "test_macro_precision": 0.7,
  "test_macro_recall": 0.68,
  "test_macro_f1": 0.68,
  "test_weighted_f1": 0.7,
  "test_f1_per_emotion": {
   "ANGER": 0.77,
   "FEAR": 0.59,
   "HAPPINESS": 0.45,
   "NEUTRAL": 0.72,
   "SADNESS": 0.85
  }
 },
 {
  "run_id": "de_EmoDB_wav2vec2-large-960h",
  "language": "German",
  "language_folder": "German",
  "iso": "de",
  "family": "Indo-European",
  "dataset": "EmoDB",
  "catalog_dataset": "EmoDB",
  "catalog_entry": "EmoDB.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.31,
  "test_accuracy": 0.34,
  "test_macro_precision": 0.33,
  "test_macro_recall": 0.37,
  "test_macro_f1": 0.3,
  "test_weighted_f1": 0.3,
  "test_f1_per_emotion": {
   "ANGER": 0.45,
   "FEAR": 0.26,
   "HAPPINESS": 0.0,
   "NEUTRAL": 0.37,
   "SADNESS": 0.44
  }
 },
 {
  "run_id": "de_EmoDB_wav2vec2-large-lv60",
  "language": "German",
  "language_folder": "German",
  "iso": "de",
  "family": "Indo-European",
  "dataset": "EmoDB",
  "catalog_dataset": "EmoDB",
  "catalog_entry": "EmoDB.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.3,
  "test_accuracy": 0.26,
  "test_macro_precision": 0.12,
  "test_macro_recall": 0.2,
  "test_macro_f1": 0.09,
  "test_weighted_f1": 0.11,
  "test_f1_per_emotion": {
   "ANGER": 0.42,
   "FEAR": 0.0,
   "HAPPINESS": 0.0,
   "NEUTRAL": 0.03,
   "SADNESS": 0.0
  }
 },
 {
  "run_id": "de_EmoDB_wav2vec2-xls-r-300m",
  "language": "German",
  "language_folder": "German",
  "iso": "de",
  "family": "Indo-European",
  "dataset": "EmoDB",
  "catalog_dataset": "EmoDB",
  "catalog_entry": "EmoDB.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.33,
  "test_accuracy": 0.35,
  "test_macro_precision": 0.24,
  "test_macro_recall": 0.34,
  "test_macro_f1": 0.26,
  "test_weighted_f1": 0.27,
  "test_f1_per_emotion": {
   "ANGER": 0.47,
   "FEAR": 0.0,
   "HAPPINESS": 0.0,
   "NEUTRAL": 0.3,
   "SADNESS": 0.55
  }
 },
 {
  "run_id": "de_EmoDB_wav2vec2-xls-r-1b",
  "language": "German",
  "language_folder": "German",
  "iso": "de",
  "family": "Indo-European",
  "dataset": "EmoDB",
  "catalog_dataset": "EmoDB",
  "catalog_entry": "EmoDB.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.33,
  "test_accuracy": 0.3,
  "test_macro_precision": 0.42,
  "test_macro_recall": 0.34,
  "test_macro_f1": 0.28,
  "test_weighted_f1": 0.24,
  "test_f1_per_emotion": {
   "ANGER": 0.45,
   "FEAR": 0.05,
   "HAPPINESS": 0.0,
   "NEUTRAL": 0.29,
   "SADNESS": 0.63
  }
 },
 {
  "run_id": "de_EmoDB_wavlm-base-plus",
  "language": "German",
  "language_folder": "German",
  "iso": "de",
  "family": "Indo-European",
  "dataset": "EmoDB",
  "catalog_dataset": "EmoDB",
  "catalog_entry": "EmoDB.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.71,
  "test_accuracy": 0.7,
  "test_macro_precision": 0.75,
  "test_macro_recall": 0.64,
  "test_macro_f1": 0.64,
  "test_weighted_f1": 0.67,
  "test_f1_per_emotion": {
   "ANGER": 0.69,
   "FEAR": 0.42,
   "HAPPINESS": 0.39,
   "NEUTRAL": 0.81,
   "SADNESS": 0.89
  }
 },
 {
  "run_id": "de_EmoDB_wavlm-large",
  "language": "German",
  "language_folder": "German",
  "iso": "de",
  "family": "Indo-European",
  "dataset": "EmoDB",
  "catalog_dataset": "EmoDB",
  "catalog_entry": "EmoDB.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.52,
  "test_accuracy": 0.53,
  "test_macro_precision": 0.65,
  "test_macro_recall": 0.54,
  "test_macro_f1": 0.44,
  "test_weighted_f1": 0.44,
  "test_f1_per_emotion": {
   "ANGER": 0.69,
   "FEAR": 0.15,
   "HAPPINESS": 0.03,
   "NEUTRAL": 0.5,
   "SADNESS": 0.83
  }
 },
 {
  "run_id": "de_EmoDB_whisper-small",
  "language": "German",
  "language_folder": "German",
  "iso": "de",
  "family": "Indo-European",
  "dataset": "EmoDB",
  "catalog_dataset": "EmoDB",
  "catalog_entry": "EmoDB.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.82,
  "test_accuracy": 0.84,
  "test_macro_precision": 0.84,
  "test_macro_recall": 0.83,
  "test_macro_f1": 0.83,
  "test_weighted_f1": 0.84,
  "test_f1_per_emotion": {
   "ANGER": 0.86,
   "FEAR": 0.82,
   "HAPPINESS": 0.67,
   "NEUTRAL": 0.89,
   "SADNESS": 0.91
  }
 },
 {
  "run_id": "de_EmoDB_whisper-large",
  "language": "German",
  "language_folder": "German",
  "iso": "de",
  "family": "Indo-European",
  "dataset": "EmoDB",
  "catalog_dataset": "EmoDB",
  "catalog_entry": "EmoDB.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.84,
  "test_accuracy": 0.86,
  "test_macro_precision": 0.86,
  "test_macro_recall": 0.85,
  "test_macro_f1": 0.85,
  "test_weighted_f1": 0.86,
  "test_f1_per_emotion": {
   "ANGER": 0.85,
   "FEAR": 0.89,
   "HAPPINESS": 0.75,
   "NEUTRAL": 0.86,
   "SADNESS": 0.9
  }
 },
 {
  "run_id": "el_AESDD_hubert-base-ls960",
  "language": "Greek",
  "language_folder": "Greek",
  "iso": "el",
  "family": "Indo-European",
  "dataset": "AESDD",
  "catalog_dataset": "AESDD",
  "catalog_entry": "AESDD.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.69,
  "test_accuracy": 0.75,
  "test_macro_precision": 0.73,
  "test_macro_recall": 0.75,
  "test_macro_f1": 0.73,
  "test_weighted_f1": 0.74,
  "test_f1_per_emotion": {
   "ANGER": 0.82,
   "FEAR": 0.61,
   "HAPPINESS": 0.64,
   "SADNESS": 0.85
  }
 },
 {
  "run_id": "el_AESDD_hubert-large-ls960-ft",
  "language": "Greek",
  "language_folder": "Greek",
  "iso": "el",
  "family": "Indo-European",
  "dataset": "AESDD",
  "catalog_dataset": "AESDD",
  "catalog_entry": "AESDD.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.43,
  "test_accuracy": 0.32,
  "test_macro_precision": 0.29,
  "test_macro_recall": 0.3,
  "test_macro_f1": 0.27,
  "test_weighted_f1": 0.28,
  "test_f1_per_emotion": {
   "ANGER": 0.17,
   "FEAR": 0.28,
   "HAPPINESS": 0.11,
   "SADNESS": 0.5
  }
 },
 {
  "run_id": "el_AESDD_wav2vec2-base",
  "language": "Greek",
  "language_folder": "Greek",
  "iso": "el",
  "family": "Indo-European",
  "dataset": "AESDD",
  "catalog_dataset": "AESDD",
  "catalog_entry": "AESDD.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.58,
  "test_accuracy": 0.54,
  "test_macro_precision": 0.57,
  "test_macro_recall": 0.54,
  "test_macro_f1": 0.53,
  "test_weighted_f1": 0.55,
  "test_f1_per_emotion": {
   "ANGER": 0.53,
   "FEAR": 0.39,
   "HAPPINESS": 0.55,
   "SADNESS": 0.65
  }
 },
 {
  "run_id": "el_AESDD_wav2vec2-large-960h",
  "language": "Greek",
  "language_folder": "Greek",
  "iso": "el",
  "family": "Indo-European",
  "dataset": "AESDD",
  "catalog_dataset": "AESDD",
  "catalog_entry": "AESDD.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.37,
  "test_accuracy": 0.32,
  "test_macro_precision": 0.28,
  "test_macro_recall": 0.29,
  "test_macro_f1": 0.22,
  "test_weighted_f1": 0.24,
  "test_f1_per_emotion": {
   "ANGER": 0.14,
   "FEAR": 0.26,
   "HAPPINESS": 0.02,
   "SADNESS": 0.47
  }
 },
 {
  "run_id": "el_AESDD_wav2vec2-large-lv60",
  "language": "Greek",
  "language_folder": "Greek",
  "iso": "el",
  "family": "Indo-European",
  "dataset": "AESDD",
  "catalog_dataset": "AESDD",
  "catalog_entry": "AESDD.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.28,
  "test_accuracy": 0.25,
  "test_macro_precision": 0.26,
  "test_macro_recall": 0.26,
  "test_macro_f1": 0.24,
  "test_weighted_f1": 0.24,
  "test_f1_per_emotion": {
   "ANGER": 0.21,
   "FEAR": 0.23,
   "HAPPINESS": 0.14,
   "SADNESS": 0.36
  }
 },
 {
  "run_id": "el_AESDD_wav2vec2-xls-r-300m",
  "language": "Greek",
  "language_folder": "Greek",
  "iso": "el",
  "family": "Indo-European",
  "dataset": "AESDD",
  "catalog_dataset": "AESDD",
  "catalog_entry": "AESDD.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.38,
  "test_accuracy": 0.36,
  "test_macro_precision": 0.33,
  "test_macro_recall": 0.32,
  "test_macro_f1": 0.28,
  "test_weighted_f1": 0.3,
  "test_f1_per_emotion": {
   "ANGER": 0.19,
   "FEAR": 0.2,
   "HAPPINESS": 0.2,
   "SADNESS": 0.53
  }
 },
 {
  "run_id": "el_AESDD_wav2vec2-xls-r-1b",
  "language": "Greek",
  "language_folder": "Greek",
  "iso": "el",
  "family": "Indo-European",
  "dataset": "AESDD",
  "catalog_dataset": "AESDD",
  "catalog_entry": "AESDD.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.21,
  "test_accuracy": 0.26,
  "test_macro_precision": 0.21,
  "test_macro_recall": 0.26,
  "test_macro_f1": 0.2,
  "test_weighted_f1": 0.2,
  "test_f1_per_emotion": {
   "ANGER": 0.22,
   "FEAR": 0.0,
   "HAPPINESS": 0.2,
   "SADNESS": 0.38
  }
 },
 {
  "run_id": "el_AESDD_wavlm-base-plus",
  "language": "Greek",
  "language_folder": "Greek",
  "iso": "el",
  "family": "Indo-European",
  "dataset": "AESDD",
  "catalog_dataset": "AESDD",
  "catalog_entry": "AESDD.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.62,
  "test_accuracy": 0.63,
  "test_macro_precision": 0.63,
  "test_macro_recall": 0.64,
  "test_macro_f1": 0.6,
  "test_weighted_f1": 0.61,
  "test_f1_per_emotion": {
   "ANGER": 0.67,
   "FEAR": 0.48,
   "HAPPINESS": 0.48,
   "SADNESS": 0.79
  }
 },
 {
  "run_id": "el_AESDD_wavlm-large",
  "language": "Greek",
  "language_folder": "Greek",
  "iso": "el",
  "family": "Indo-European",
  "dataset": "AESDD",
  "catalog_dataset": "AESDD",
  "catalog_entry": "AESDD.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.7,
  "test_accuracy": 0.57,
  "test_macro_precision": 0.61,
  "test_macro_recall": 0.6,
  "test_macro_f1": 0.52,
  "test_weighted_f1": 0.53,
  "test_f1_per_emotion": {
   "ANGER": 0.52,
   "FEAR": 0.37,
   "HAPPINESS": 0.38,
   "SADNESS": 0.8
  }
 },
 {
  "run_id": "el_AESDD_whisper-small",
  "language": "Greek",
  "language_folder": "Greek",
  "iso": "el",
  "family": "Indo-European",
  "dataset": "AESDD",
  "catalog_dataset": "AESDD",
  "catalog_entry": "AESDD.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.6,
  "test_accuracy": 0.57,
  "test_macro_precision": 0.56,
  "test_macro_recall": 0.57,
  "test_macro_f1": 0.56,
  "test_weighted_f1": 0.58,
  "test_f1_per_emotion": {
   "ANGER": 0.61,
   "FEAR": 0.44,
   "HAPPINESS": 0.45,
   "SADNESS": 0.75
  }
 },
 {
  "run_id": "el_AESDD_whisper-large",
  "language": "Greek",
  "language_folder": "Greek",
  "iso": "el",
  "family": "Indo-European",
  "dataset": "AESDD",
  "catalog_dataset": "AESDD",
  "catalog_entry": "AESDD.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.57,
  "test_accuracy": 0.56,
  "test_macro_precision": 0.56,
  "test_macro_recall": 0.56,
  "test_macro_f1": 0.56,
  "test_weighted_f1": 0.57,
  "test_f1_per_emotion": {
   "ANGER": 0.58,
   "FEAR": 0.42,
   "HAPPINESS": 0.49,
   "SADNESS": 0.72
  }
 },
 {
  "run_id": "hi_Hindi-Dataset_hubert-base-ls960",
  "language": "Hindi",
  "language_folder": "Hindi",
  "iso": "hi",
  "family": "Indo-European",
  "dataset": "Hindi-Dataset",
  "catalog_dataset": "VishalB",
  "catalog_entry": "VishalB.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.72,
  "test_accuracy": 0.7,
  "test_macro_precision": 0.71,
  "test_macro_recall": 0.69,
  "test_macro_f1": 0.7,
  "test_weighted_f1": 0.71,
  "test_f1_per_emotion": {
   "ANGER": 0.84,
   "FEAR": 0.67,
   "HAPPINESS": 0.74,
   "NEUTRAL": 0.56,
   "SADNESS": 0.66
  }
 },
 {
  "run_id": "hi_Hindi-Dataset_hubert-large-ls960-ft",
  "language": "Hindi",
  "language_folder": "Hindi",
  "iso": "hi",
  "family": "Indo-European",
  "dataset": "Hindi-Dataset",
  "catalog_dataset": "VishalB",
  "catalog_entry": "VishalB.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.33,
  "test_accuracy": 0.31,
  "test_macro_precision": 0.33,
  "test_macro_recall": 0.32,
  "test_macro_f1": 0.26,
  "test_weighted_f1": 0.25,
  "test_f1_per_emotion": {
   "ANGER": 0.45,
   "FEAR": 0.36,
   "HAPPINESS": 0.15,
   "NEUTRAL": 0.17,
   "SADNESS": 0.16
  }
 },
 {
  "run_id": "hi_Hindi-Dataset_wav2vec2-base",
  "language": "Hindi",
  "language_folder": "Hindi",
  "iso": "hi",
  "family": "Indo-European",
  "dataset": "Hindi-Dataset",
  "catalog_dataset": "VishalB",
  "catalog_entry": "VishalB.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.62,
  "test_accuracy": 0.61,
  "test_macro_precision": 0.6,
  "test_macro_recall": 0.6,
  "test_macro_f1": 0.6,
  "test_weighted_f1": 0.61,
  "test_f1_per_emotion": {
   "ANGER": 0.79,
   "FEAR": 0.59,
   "HAPPINESS": 0.55,
   "NEUTRAL": 0.49,
   "SADNESS": 0.56
  }
 },
 {
  "run_id": "hi_Hindi-Dataset_wav2vec2-large-960h",
  "language": "Hindi",
  "language_folder": "Hindi",
  "iso": "hi",
  "family": "Indo-European",
  "dataset": "Hindi-Dataset",
  "catalog_dataset": "VishalB",
  "catalog_entry": "VishalB.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.22,
  "test_accuracy": 0.23,
  "test_macro_precision": 0.33,
  "test_macro_recall": 0.23,
  "test_macro_f1": 0.13,
  "test_weighted_f1": 0.12,
  "test_f1_per_emotion": {
   "ANGER": 0.36,
   "FEAR": 0.21,
   "HAPPINESS": 0.04,
   "NEUTRAL": 0.03,
   "SADNESS": 0.03
  }
 },
 {
  "run_id": "hi_Hindi-Dataset_wav2vec2-large-lv60",
  "language": "Hindi",
  "language_folder": "Hindi",
  "iso": "hi",
  "family": "Indo-European",
  "dataset": "Hindi-Dataset",
  "catalog_dataset": "VishalB",
  "catalog_entry": "VishalB.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.2,
  "test_accuracy": 0.2,
  "test_macro_precision": 0.16,
  "test_macro_recall": 0.22,
  "test_macro_f1": 0.12,
  "test_weighted_f1": 0.11,
  "test_f1_per_emotion": {
   "ANGER": 0.33,
   "FEAR": 0.22,
   "HAPPINESS": 0.0,
   "NEUTRAL": 0.0,
   "SADNESS": 0.03
  }
 },
 {
  "run_id": "hi_Hindi-Dataset_wav2vec2-xls-r-300m",
  "language": "Hindi",
  "language_folder": "Hindi",
  "iso": "hi",
  "family": "Indo-European",
  "dataset": "Hindi-Dataset",
  "catalog_dataset": "VishalB",
  "catalog_entry": "VishalB.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.22,
  "test_accuracy": 0.22,
  "test_macro_precision": 0.26,
  "test_macro_recall": 0.23,
  "test_macro_f1": 0.14,
  "test_weighted_f1": 0.13,
  "test_f1_per_emotion": {
   "ANGER": 0.35,
   "FEAR": 0.18,
   "HAPPINESS": 0.16,
   "NEUTRAL": 0.0,
   "SADNESS": 0.03
  }
 },
 {
  "run_id": "hi_Hindi-Dataset_wav2vec2-xls-r-1b",
  "language": "Hindi",
  "language_folder": "Hindi",
  "iso": "hi",
  "family": "Indo-European",
  "dataset": "Hindi-Dataset",
  "catalog_dataset": "VishalB",
  "catalog_entry": "VishalB.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.35,
  "test_accuracy": 0.35,
  "test_macro_precision": 0.35,
  "test_macro_recall": 0.36,
  "test_macro_f1": 0.34,
  "test_weighted_f1": 0.34,
  "test_f1_per_emotion": {
   "ANGER": 0.48,
   "FEAR": 0.4,
   "HAPPINESS": 0.25,
   "NEUTRAL": 0.28,
   "SADNESS": 0.3
  }
 },
 {
  "run_id": "hi_Hindi-Dataset_wavlm-base-plus",
  "language": "Hindi",
  "language_folder": "Hindi",
  "iso": "hi",
  "family": "Indo-European",
  "dataset": "Hindi-Dataset",
  "catalog_dataset": "VishalB",
  "catalog_entry": "VishalB.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.7,
  "test_accuracy": 0.65,
  "test_macro_precision": 0.68,
  "test_macro_recall": 0.64,
  "test_macro_f1": 0.64,
  "test_weighted_f1": 0.65,
  "test_f1_per_emotion": {
   "ANGER": 0.87,
   "FEAR": 0.68,
   "HAPPINESS": 0.62,
   "NEUTRAL": 0.51,
   "SADNESS": 0.51
  }
 },
 {
  "run_id": "hi_Hindi-Dataset_wavlm-large",
  "language": "Hindi",
  "language_folder": "Hindi",
  "iso": "hi",
  "family": "Indo-European",
  "dataset": "Hindi-Dataset",
  "catalog_dataset": "VishalB",
  "catalog_entry": "VishalB.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.69,
  "test_accuracy": 0.7,
  "test_macro_precision": 0.73,
  "test_macro_recall": 0.7,
  "test_macro_f1": 0.7,
  "test_weighted_f1": 0.69,
  "test_f1_per_emotion": {
   "ANGER": 0.83,
   "FEAR": 0.73,
   "HAPPINESS": 0.64,
   "NEUTRAL": 0.63,
   "SADNESS": 0.65
  }
 },
 {
  "run_id": "hi_Hindi-Dataset_whisper-small",
  "language": "Hindi",
  "language_folder": "Hindi",
  "iso": "hi",
  "family": "Indo-European",
  "dataset": "Hindi-Dataset",
  "catalog_dataset": "VishalB",
  "catalog_entry": "VishalB.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.68,
  "test_accuracy": 0.71,
  "test_macro_precision": 0.7,
  "test_macro_recall": 0.7,
  "test_macro_f1": 0.7,
  "test_weighted_f1": 0.7,
  "test_f1_per_emotion": {
   "ANGER": 0.9,
   "FEAR": 0.67,
   "HAPPINESS": 0.72,
   "NEUTRAL": 0.61,
   "SADNESS": 0.58
  }
 },
 {
  "run_id": "hi_Hindi-Dataset_whisper-large",
  "language": "Hindi",
  "language_folder": "Hindi",
  "iso": "hi",
  "family": "Indo-European",
  "dataset": "Hindi-Dataset",
  "catalog_dataset": "VishalB",
  "catalog_entry": "VishalB.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.67,
  "test_accuracy": 0.69,
  "test_macro_precision": 0.68,
  "test_macro_recall": 0.68,
  "test_macro_f1": 0.68,
  "test_weighted_f1": 0.69,
  "test_f1_per_emotion": {
   "ANGER": 0.88,
   "FEAR": 0.68,
   "HAPPINESS": 0.72,
   "NEUTRAL": 0.59,
   "SADNESS": 0.55
  }
 },
 {
  "run_id": "hu_HungarianEmotionalSpeechCorpus_hubert-base-ls960",
  "language": "Hungarian",
  "language_folder": "Hungarian",
  "iso": "hu",
  "family": "Uralic",
  "dataset": "HungarianEmotionalSpeechCorpus",
  "catalog_dataset": "HESD",
  "catalog_entry": "HESD.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.54,
  "test_accuracy": 0.52,
  "test_macro_precision": 0.59,
  "test_macro_recall": 0.55,
  "test_macro_f1": 0.52,
  "test_weighted_f1": 0.51,
  "test_f1_per_emotion": {
   "ANGER": 0.49,
   "FEAR": 0.52,
   "NEUTRAL": 0.47,
   "SADNESS": 0.57
  }
 },
 {
  "run_id": "hu_HungarianEmotionalSpeechCorpus_hubert-large-ls960-ft",
  "language": "Hungarian",
  "language_folder": "Hungarian",
  "iso": "hu",
  "family": "Uralic",
  "dataset": "HungarianEmotionalSpeechCorpus",
  "catalog_dataset": "HESD",
  "catalog_entry": "HESD.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.29,
  "test_accuracy": 0.21,
  "test_macro_precision": 0.23,
  "test_macro_recall": 0.23,
  "test_macro_f1": 0.19,
  "test_weighted_f1": 0.18,
  "test_f1_per_emotion": {
   "ANGER": 0.23,
   "FEAR": 0.02,
   "NEUTRAL": 0.26,
   "SADNESS": 0.25
  }
 },
 {
  "run_id": "hu_HungarianEmotionalSpeechCorpus_wav2vec2-base",
  "language": "Hungarian",
  "language_folder": "Hungarian",
  "iso": "hu",
  "family": "Uralic",
  "dataset": "HungarianEmotionalSpeechCorpus",
  "catalog_dataset": "HESD",
  "catalog_entry": "HESD.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.42,
  "test_accuracy": 0.43,
  "test_macro_precision": 0.42,
  "test_macro_recall": 0.43,
  "test_macro_f1": 0.4,
  "test_weighted_f1": 0.41,
  "test_f1_per_emotion": {
   "ANGER": 0.39,
   "FEAR": 0.54,
   "NEUTRAL": 0.19,
   "SADNESS": 0.48
  }
 },
 {
  "run_id": "hu_HungarianEmotionalSpeechCorpus_wav2vec2-large-960h",
  "language": "Hungarian",
  "language_folder": "Hungarian",
  "iso": "hu",
  "family": "Uralic",
  "dataset": "HungarianEmotionalSpeechCorpus",
  "catalog_dataset": "HESD",
  "catalog_entry": "HESD.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.28,
  "test_accuracy": 0.24,
  "test_macro_precision": 0.35,
  "test_macro_recall": 0.26,
  "test_macro_f1": 0.22,
  "test_weighted_f1": 0.21,
  "test_f1_per_emotion": {
   "ANGER": 0.28,
   "FEAR": 0.06,
   "NEUTRAL": 0.27,
   "SADNESS": 0.27
  }
 },
 {
  "run_id": "hu_HungarianEmotionalSpeechCorpus_wav2vec2-large-lv60",
  "language": "Hungarian",
  "language_folder": "Hungarian",
  "iso": "hu",
  "family": "Uralic",
  "dataset": "HungarianEmotionalSpeechCorpus",
  "catalog_dataset": "HESD",
  "catalog_entry": "HESD.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.22,
  "test_accuracy": 0.23,
  "test_macro_precision": 0.26,
  "test_macro_recall": 0.25,
  "test_macro_f1": 0.17,
  "test_weighted_f1": 0.16,
  "test_f1_per_emotion": {
   "ANGER": 0.16,
   "FEAR": 0.02,
   "NEUTRAL": 0.35,
   "SADNESS": 0.14
  }
 },
 {
  "run_id": "hu_HungarianEmotionalSpeechCorpus_wav2vec2-xls-r-300m",
  "language": "Hungarian",
  "language_folder": "Hungarian",
  "iso": "hu",
  "family": "Uralic",
  "dataset": "HungarianEmotionalSpeechCorpus",
  "catalog_dataset": "HESD",
  "catalog_entry": "HESD.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.28,
  "test_accuracy": 0.23,
  "test_macro_precision": 0.26,
  "test_macro_recall": 0.24,
  "test_macro_f1": 0.22,
  "test_weighted_f1": 0.21,
  "test_f1_per_emotion": {
   "ANGER": 0.24,
   "FEAR": 0.17,
   "NEUTRAL": 0.29,
   "SADNESS": 0.17
  }
 },
 {
  "run_id": "hu_HungarianEmotionalSpeechCorpus_wav2vec2-xls-r-1b",
  "language": "Hungarian",
  "language_folder": "Hungarian",
  "iso": "hu",
  "family": "Uralic",
  "dataset": "HungarianEmotionalSpeechCorpus",
  "catalog_dataset": "HESD",
  "catalog_entry": "HESD.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.19,
  "test_accuracy": 0.22,
  "test_macro_precision": 0.18,
  "test_macro_recall": 0.26,
  "test_macro_f1": 0.14,
  "test_weighted_f1": 0.13,
  "test_f1_per_emotion": {
   "ANGER": 0.17,
   "FEAR": 0.0,
   "NEUTRAL": 0.07,
   "SADNESS": 0.34
  }
 },
 {
  "run_id": "hu_HungarianEmotionalSpeechCorpus_wavlm-base-plus",
  "language": "Hungarian",
  "language_folder": "Hungarian",
  "iso": "hu",
  "family": "Uralic",
  "dataset": "HungarianEmotionalSpeechCorpus",
  "catalog_dataset": "HESD",
  "catalog_entry": "HESD.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.52,
  "test_accuracy": 0.51,
  "test_macro_precision": 0.57,
  "test_macro_recall": 0.54,
  "test_macro_f1": 0.5,
  "test_weighted_f1": 0.49,
  "test_f1_per_emotion": {
   "ANGER": 0.63,
   "FEAR": 0.32,
   "NEUTRAL": 0.44,
   "SADNESS": 0.6
  }
 },
 {
  "run_id": "hu_HungarianEmotionalSpeechCorpus_wavlm-large",
  "language": "Hungarian",
  "language_folder": "Hungarian",
  "iso": "hu",
  "family": "Uralic",
  "dataset": "HungarianEmotionalSpeechCorpus",
  "catalog_dataset": "HESD",
  "catalog_entry": "HESD.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.45,
  "test_accuracy": 0.49,
  "test_macro_precision": 0.62,
  "test_macro_recall": 0.52,
  "test_macro_f1": 0.48,
  "test_weighted_f1": 0.47,
  "test_f1_per_emotion": {
   "ANGER": 0.57,
   "FEAR": 0.31,
   "NEUTRAL": 0.5,
   "SADNESS": 0.54
  }
 },
 {
  "run_id": "hu_HungarianEmotionalSpeechCorpus_whisper-small",
  "language": "Hungarian",
  "language_folder": "Hungarian",
  "iso": "hu",
  "family": "Uralic",
  "dataset": "HungarianEmotionalSpeechCorpus",
  "catalog_dataset": "HESD",
  "catalog_entry": "HESD.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.41,
  "test_accuracy": 0.52,
  "test_macro_precision": 0.51,
  "test_macro_recall": 0.52,
  "test_macro_f1": 0.51,
  "test_weighted_f1": 0.51,
  "test_f1_per_emotion": {
   "ANGER": 0.66,
   "FEAR": 0.44,
   "NEUTRAL": 0.58,
   "SADNESS": 0.35
  }
 },
 {
  "run_id": "hu_HungarianEmotionalSpeechCorpus_whisper-large",
  "language": "Hungarian",
  "language_folder": "Hungarian",
  "iso": "hu",
  "family": "Uralic",
  "dataset": "HungarianEmotionalSpeechCorpus",
  "catalog_dataset": "HESD",
  "catalog_entry": "HESD.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.48,
  "test_accuracy": 0.44,
  "test_macro_precision": 0.44,
  "test_macro_recall": 0.44,
  "test_macro_f1": 0.43,
  "test_weighted_f1": 0.43,
  "test_f1_per_emotion": {
   "ANGER": 0.55,
   "FEAR": 0.31,
   "NEUTRAL": 0.42,
   "SADNESS": 0.45
  }
 },
 {
  "run_id": "id_IndoWaveSentiment_hubert-base-ls960",
  "language": "Indonesian",
  "language_folder": "Indonesian",
  "iso": "id",
  "family": "Austronesian",
  "dataset": "IndoWaveSentiment",
  "catalog_dataset": "IndoWaveSentiment",
  "catalog_entry": "IndoWaveSentiment.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.97,
  "test_accuracy": 0.99,
  "test_macro_precision": 0.99,
  "test_macro_recall": 0.99,
  "test_macro_f1": 0.99,
  "test_weighted_f1": 0.99,
  "test_f1_per_emotion": {
   "HAPPINESS": 0.99,
   "NEUTRAL": 0.99
  }
 },
 {
  "run_id": "id_IndoWaveSentiment_hubert-large-ls960-ft",
  "language": "Indonesian",
  "language_folder": "Indonesian",
  "iso": "id",
  "family": "Austronesian",
  "dataset": "IndoWaveSentiment",
  "catalog_dataset": "IndoWaveSentiment",
  "catalog_entry": "IndoWaveSentiment.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.63,
  "test_accuracy": 0.46,
  "test_macro_precision": 0.64,
  "test_macro_recall": 0.58,
  "test_macro_f1": 0.45,
  "test_weighted_f1": 0.41,
  "test_f1_per_emotion": {
   "HAPPINESS": 0.35,
   "NEUTRAL": 0.54
  }
 },
 {
  "run_id": "id_IndoWaveSentiment_wav2vec2-base",
  "language": "Indonesian",
  "language_folder": "Indonesian",
  "iso": "id",
  "family": "Austronesian",
  "dataset": "IndoWaveSentiment",
  "catalog_dataset": "IndoWaveSentiment",
  "catalog_entry": "IndoWaveSentiment.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.78,
  "test_accuracy": 0.77,
  "test_macro_precision": 0.81,
  "test_macro_recall": 0.77,
  "test_macro_f1": 0.76,
  "test_weighted_f1": 0.76,
  "test_f1_per_emotion": {
   "HAPPINESS": 0.71,
   "NEUTRAL": 0.8
  }
 },
 {
  "run_id": "id_IndoWaveSentiment_wav2vec2-large-960h",
  "language": "Indonesian",
  "language_folder": "Indonesian",
  "iso": "id",
  "family": "Austronesian",
  "dataset": "IndoWaveSentiment",
  "catalog_dataset": "IndoWaveSentiment",
  "catalog_entry": "IndoWaveSentiment.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.61,
  "test_accuracy": 0.37,
  "test_macro_precision": 0.58,
  "test_macro_recall": 0.52,
  "test_macro_f1": 0.32,
  "test_weighted_f1": 0.26,
  "test_f1_per_emotion": {
   "HAPPINESS": 0.14,
   "NEUTRAL": 0.51
  }
 },
 {
  "run_id": "id_IndoWaveSentiment_wav2vec2-large-lv60",
  "language": "Indonesian",
  "language_folder": "Indonesian",
  "iso": "id",
  "family": "Austronesian",
  "dataset": "IndoWaveSentiment",
  "catalog_dataset": "IndoWaveSentiment",
  "catalog_entry": "IndoWaveSentiment.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.5,
  "test_accuracy": 0.57,
  "test_macro_precision": 0.53,
  "test_macro_recall": 0.53,
  "test_macro_f1": 0.53,
  "test_weighted_f1": 0.57,
  "test_f1_per_emotion": {
   "HAPPINESS": 0.67,
   "NEUTRAL": 0.38
  }
 },
 {
  "run_id": "id_IndoWaveSentiment_wav2vec2-xls-r-300m",
  "language": "Indonesian",
  "language_folder": "Indonesian",
  "iso": "id",
  "family": "Austronesian",
  "dataset": "IndoWaveSentiment",
  "catalog_dataset": "IndoWaveSentiment",
  "catalog_entry": "IndoWaveSentiment.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.58,
  "test_accuracy": 0.46,
  "test_macro_precision": 0.51,
  "test_macro_recall": 0.51,
  "test_macro_f1": 0.46,
  "test_weighted_f1": 0.45,
  "test_f1_per_emotion": {
   "HAPPINESS": 0.45,
   "NEUTRAL": 0.46
  }
 },
 {
  "run_id": "id_IndoWaveSentiment_wav2vec2-xls-r-1b",
  "language": "Indonesian",
  "language_folder": "Indonesian",
  "iso": "id",
  "family": "Austronesian",
  "dataset": "IndoWaveSentiment",
  "catalog_dataset": "IndoWaveSentiment",
  "catalog_entry": "IndoWaveSentiment.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.63,
  "test_accuracy": 0.59,
  "test_macro_precision": 0.58,
  "test_macro_recall": 0.58,
  "test_macro_f1": 0.58,
  "test_weighted_f1": 0.59,
  "test_f1_per_emotion": {
   "HAPPINESS": 0.52,
   "NEUTRAL": 0.64
  }
 },
 {
  "run_id": "id_IndoWaveSentiment_wavlm-base-plus",
  "language": "Indonesian",
  "language_folder": "Indonesian",
  "iso": "id",
  "family": "Austronesian",
  "dataset": "IndoWaveSentiment",
  "catalog_dataset": "IndoWaveSentiment",
  "catalog_entry": "IndoWaveSentiment.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.94,
  "test_accuracy": 0.94,
  "test_macro_precision": 0.94,
  "test_macro_recall": 0.94,
  "test_macro_f1": 0.94,
  "test_weighted_f1": 0.94,
  "test_f1_per_emotion": {
   "HAPPINESS": 0.94,
   "NEUTRAL": 0.94
  }
 },
 {
  "run_id": "id_IndoWaveSentiment_wavlm-large",
  "language": "Indonesian",
  "language_folder": "Indonesian",
  "iso": "id",
  "family": "Austronesian",
  "dataset": "IndoWaveSentiment",
  "catalog_dataset": "IndoWaveSentiment",
  "catalog_entry": "IndoWaveSentiment.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.97,
  "test_accuracy": 0.94,
  "test_macro_precision": 0.93,
  "test_macro_recall": 0.95,
  "test_macro_f1": 0.94,
  "test_weighted_f1": 0.95,
  "test_f1_per_emotion": {
   "HAPPINESS": 0.96,
   "NEUTRAL": 0.92
  }
 },
 {
  "run_id": "id_IndoWaveSentiment_whisper-small",
  "language": "Indonesian",
  "language_folder": "Indonesian",
  "iso": "id",
  "family": "Austronesian",
  "dataset": "IndoWaveSentiment",
  "catalog_dataset": "IndoWaveSentiment",
  "catalog_entry": "IndoWaveSentiment.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.96,
  "test_accuracy": 0.97,
  "test_macro_precision": 0.97,
  "test_macro_recall": 0.98,
  "test_macro_f1": 0.97,
  "test_weighted_f1": 0.98,
  "test_f1_per_emotion": {
   "HAPPINESS": 0.98,
   "NEUTRAL": 0.96
  }
 },
 {
  "run_id": "id_IndoWaveSentiment_whisper-large",
  "language": "Indonesian",
  "language_folder": "Indonesian",
  "iso": "id",
  "family": "Austronesian",
  "dataset": "IndoWaveSentiment",
  "catalog_dataset": "IndoWaveSentiment",
  "catalog_entry": "IndoWaveSentiment.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.85,
  "test_accuracy": 0.87,
  "test_macro_precision": 0.85,
  "test_macro_recall": 0.86,
  "test_macro_f1": 0.86,
  "test_weighted_f1": 0.87,
  "test_f1_per_emotion": {
   "HAPPINESS": 0.9,
   "NEUTRAL": 0.81
  }
 },
 {
  "run_id": "it_EMOVO_hubert-base-ls960",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "EMOVO",
  "catalog_dataset": "EMOVO",
  "catalog_entry": "EMOVO.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.66,
  "test_accuracy": 0.57,
  "test_macro_precision": 0.72,
  "test_macro_recall": 0.66,
  "test_macro_f1": 0.6,
  "test_weighted_f1": 0.61,
  "test_f1_per_emotion": {
   "ANGER": 0.83,
   "FEAR": 0.61,
   "NEUTRAL": 0.39,
   "SADNESS": 0.56
  }
 },
 {
  "run_id": "it_EMOVO_hubert-large-ls960-ft",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "EMOVO",
  "catalog_dataset": "EMOVO",
  "catalog_entry": "EMOVO.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.26,
  "test_accuracy": 0.28,
  "test_macro_precision": 0.45,
  "test_macro_recall": 0.29,
  "test_macro_f1": 0.24,
  "test_weighted_f1": 0.23,
  "test_f1_per_emotion": {
   "ANGER": 0.12,
   "FEAR": 0.25,
   "NEUTRAL": 0.41,
   "SADNESS": 0.17
  }
 },
 {
  "run_id": "it_EMOVO_wav2vec2-base",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "EMOVO",
  "catalog_dataset": "EMOVO",
  "catalog_entry": "EMOVO.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.47,
  "test_accuracy": 0.56,
  "test_macro_precision": 0.61,
  "test_macro_recall": 0.5,
  "test_macro_f1": 0.52,
  "test_weighted_f1": 0.55,
  "test_f1_per_emotion": {
   "ANGER": 0.73,
   "FEAR": 0.63,
   "NEUTRAL": 0.29,
   "SADNESS": 0.43
  }
 },
 {
  "run_id": "it_EMOVO_wav2vec2-large-960h",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "EMOVO",
  "catalog_dataset": "EMOVO",
  "catalog_entry": "EMOVO.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.26,
  "test_accuracy": 0.28,
  "test_macro_precision": 0.29,
  "test_macro_recall": 0.29,
  "test_macro_f1": 0.2,
  "test_weighted_f1": 0.2,
  "test_f1_per_emotion": {
   "ANGER": 0.08,
   "FEAR": 0.3,
   "NEUTRAL": 0.42,
   "SADNESS": 0.0
  }
 },
 {
  "run_id": "it_EMOVO_wav2vec2-large-lv60",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "EMOVO",
  "catalog_dataset": "EMOVO",
  "catalog_entry": "EMOVO.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.21,
  "test_accuracy": 0.26,
  "test_macro_precision": 0.29,
  "test_macro_recall": 0.28,
  "test_macro_f1": 0.18,
  "test_weighted_f1": 0.18,
  "test_f1_per_emotion": {
   "ANGER": 0.08,
   "FEAR": 0.28,
   "NEUTRAL": 0.38,
   "SADNESS": 0.0
  }
 },
 {
  "run_id": "it_EMOVO_wav2vec2-xls-r-300m",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "EMOVO",
  "catalog_dataset": "EMOVO",
  "catalog_entry": "EMOVO.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.25,
  "test_accuracy": 0.25,
  "test_macro_precision": 0.3,
  "test_macro_recall": 0.26,
  "test_macro_f1": 0.22,
  "test_weighted_f1": 0.21,
  "test_f1_per_emotion": {
   "ANGER": 0.14,
   "FEAR": 0.18,
   "NEUTRAL": 0.35,
   "SADNESS": 0.21
  }
 },
 {
  "run_id": "it_EMOVO_wav2vec2-xls-r-1b",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "EMOVO",
  "catalog_dataset": "EMOVO",
  "catalog_entry": "EMOVO.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.31,
  "test_accuracy": 0.24,
  "test_macro_precision": 0.28,
  "test_macro_recall": 0.28,
  "test_macro_f1": 0.23,
  "test_weighted_f1": 0.22,
  "test_f1_per_emotion": {
   "ANGER": 0.15,
   "FEAR": 0.26,
   "NEUTRAL": 0.26,
   "SADNESS": 0.26
  }
 },
 {
  "run_id": "it_EMOVO_wavlm-base-plus",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "EMOVO",
  "catalog_dataset": "EMOVO",
  "catalog_entry": "EMOVO.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.69,
  "test_accuracy": 0.58,
  "test_macro_precision": 0.63,
  "test_macro_recall": 0.61,
  "test_macro_f1": 0.57,
  "test_weighted_f1": 0.6,
  "test_f1_per_emotion": {
   "ANGER": 0.65,
   "FEAR": 0.64,
   "NEUTRAL": 0.4,
   "SADNESS": 0.6
  }
 },
 {
  "run_id": "it_EMOVO_wavlm-large",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "EMOVO",
  "catalog_dataset": "EMOVO",
  "catalog_entry": "EMOVO.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.64,
  "test_accuracy": 0.55,
  "test_macro_precision": 0.76,
  "test_macro_recall": 0.56,
  "test_macro_f1": 0.55,
  "test_weighted_f1": 0.55,
  "test_f1_per_emotion": {
   "ANGER": 0.72,
   "FEAR": 0.31,
   "NEUTRAL": 0.5,
   "SADNESS": 0.65
  }
 },
 {
  "run_id": "it_EMOVO_whisper-small",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "EMOVO",
  "catalog_dataset": "EMOVO",
  "catalog_entry": "EMOVO.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.78,
  "test_accuracy": 0.64,
  "test_macro_precision": 0.65,
  "test_macro_recall": 0.66,
  "test_macro_f1": 0.64,
  "test_weighted_f1": 0.64,
  "test_f1_per_emotion": {
   "ANGER": 0.72,
   "FEAR": 0.51,
   "NEUTRAL": 0.72,
   "SADNESS": 0.62
  }
 },
 {
  "run_id": "it_EMOVO_whisper-large",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "EMOVO",
  "catalog_dataset": "EMOVO",
  "catalog_entry": "EMOVO.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.78,
  "test_accuracy": 0.7,
  "test_macro_precision": 0.7,
  "test_macro_recall": 0.72,
  "test_macro_f1": 0.71,
  "test_weighted_f1": 0.7,
  "test_f1_per_emotion": {
   "ANGER": 0.79,
   "FEAR": 0.65,
   "NEUTRAL": 0.72,
   "SADNESS": 0.67
  }
 },
 {
  "run_id": "it_Emozionalmente_hubert-base-ls960",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "Emozionalmente",
  "catalog_dataset": "Emozionalmente",
  "catalog_entry": "Emozionalmente.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.72,
  "test_accuracy": 0.71,
  "test_macro_precision": 0.73,
  "test_macro_recall": 0.7,
  "test_macro_f1": 0.71,
  "test_weighted_f1": 0.71,
  "test_f1_per_emotion": {
   "ANGER": 0.72,
   "FEAR": 0.68,
   "NEUTRAL": 0.73,
   "SADNESS": 0.7
  }
 },
 {
  "run_id": "it_Emozionalmente_hubert-large-ls960-ft",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "Emozionalmente",
  "catalog_dataset": "Emozionalmente",
  "catalog_entry": "Emozionalmente.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.46,
  "test_accuracy": 0.49,
  "test_macro_precision": 0.59,
  "test_macro_recall": 0.48,
  "test_macro_f1": 0.46,
  "test_weighted_f1": 0.46,
  "test_f1_per_emotion": {
   "ANGER": 0.48,
   "FEAR": 0.48,
   "NEUTRAL": 0.55,
   "SADNESS": 0.33
  }
 },
 {
  "run_id": "it_Emozionalmente_wav2vec2-base",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "Emozionalmente",
  "catalog_dataset": "Emozionalmente",
  "catalog_entry": "Emozionalmente.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.62,
  "test_accuracy": 0.61,
  "test_macro_precision": 0.64,
  "test_macro_recall": 0.6,
  "test_macro_f1": 0.61,
  "test_weighted_f1": 0.61,
  "test_f1_per_emotion": {
   "ANGER": 0.72,
   "FEAR": 0.6,
   "NEUTRAL": 0.51,
   "SADNESS": 0.6
  }
 },
 {
  "run_id": "it_Emozionalmente_wav2vec2-large-960h",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "Emozionalmente",
  "catalog_dataset": "Emozionalmente",
  "catalog_entry": "Emozionalmente.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.3,
  "test_accuracy": 0.32,
  "test_macro_precision": 0.39,
  "test_macro_recall": 0.31,
  "test_macro_f1": 0.24,
  "test_weighted_f1": 0.25,
  "test_f1_per_emotion": {
   "ANGER": 0.16,
   "FEAR": 0.21,
   "NEUTRAL": 0.45,
   "SADNESS": 0.15
  }
 },
 {
  "run_id": "it_Emozionalmente_wav2vec2-large-lv60",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "Emozionalmente",
  "catalog_dataset": "Emozionalmente",
  "catalog_entry": "Emozionalmente.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.28,
  "test_accuracy": 0.3,
  "test_macro_precision": 0.3,
  "test_macro_recall": 0.29,
  "test_macro_f1": 0.25,
  "test_weighted_f1": 0.25,
  "test_f1_per_emotion": {
   "ANGER": 0.12,
   "FEAR": 0.23,
   "NEUTRAL": 0.43,
   "SADNESS": 0.21
  }
 },
 {
  "run_id": "it_Emozionalmente_wav2vec2-xls-r-300m",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "Emozionalmente",
  "catalog_dataset": "Emozionalmente",
  "catalog_entry": "Emozionalmente.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.46,
  "test_accuracy": 0.47,
  "test_macro_precision": 0.49,
  "test_macro_recall": 0.47,
  "test_macro_f1": 0.47,
  "test_weighted_f1": 0.47,
  "test_f1_per_emotion": {
   "ANGER": 0.56,
   "FEAR": 0.39,
   "NEUTRAL": 0.52,
   "SADNESS": 0.41
  }
 },
 {
  "run_id": "it_Emozionalmente_wav2vec2-xls-r-1b",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "Emozionalmente",
  "catalog_dataset": "Emozionalmente",
  "catalog_entry": "Emozionalmente.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.26,
  "test_accuracy": 0.28,
  "test_macro_precision": 0.44,
  "test_macro_recall": 0.28,
  "test_macro_f1": 0.19,
  "test_weighted_f1": 0.2,
  "test_f1_per_emotion": {
   "ANGER": 0.04,
   "FEAR": 0.21,
   "NEUTRAL": 0.12,
   "SADNESS": 0.41
  }
 },
 {
  "run_id": "it_Emozionalmente_wavlm-base-plus",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "Emozionalmente",
  "catalog_dataset": "Emozionalmente",
  "catalog_entry": "Emozionalmente.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.75,
  "test_accuracy": 0.72,
  "test_macro_precision": 0.73,
  "test_macro_recall": 0.72,
  "test_macro_f1": 0.72,
  "test_weighted_f1": 0.72,
  "test_f1_per_emotion": {
   "ANGER": 0.76,
   "FEAR": 0.68,
   "NEUTRAL": 0.74,
   "SADNESS": 0.7
  }
 },
 {
  "run_id": "it_Emozionalmente_wavlm-large",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "Emozionalmente",
  "catalog_dataset": "Emozionalmente",
  "catalog_entry": "Emozionalmente.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.69,
  "test_accuracy": 0.73,
  "test_macro_precision": 0.75,
  "test_macro_recall": 0.73,
  "test_macro_f1": 0.73,
  "test_weighted_f1": 0.73,
  "test_f1_per_emotion": {
   "ANGER": 0.81,
   "FEAR": 0.7,
   "NEUTRAL": 0.75,
   "SADNESS": 0.64
  }
 },
 {
  "run_id": "it_Emozionalmente_whisper-small",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "Emozionalmente",
  "catalog_dataset": "Emozionalmente",
  "catalog_entry": "Emozionalmente.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.77,
  "test_accuracy": 0.75,
  "test_macro_precision": 0.76,
  "test_macro_recall": 0.75,
  "test_macro_f1": 0.75,
  "test_weighted_f1": 0.75,
  "test_f1_per_emotion": {
   "ANGER": 0.81,
   "FEAR": 0.69,
   "NEUTRAL": 0.83,
   "SADNESS": 0.69
  }
 },
 {
  "run_id": "it_Emozionalmente_whisper-large",
  "language": "Italian",
  "language_folder": "Italian",
  "iso": "it",
  "family": "Indo-European",
  "dataset": "Emozionalmente",
  "catalog_dataset": "Emozionalmente",
  "catalog_entry": "Emozionalmente.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.79,
  "test_accuracy": 0.8,
  "test_macro_precision": 0.8,
  "test_macro_recall": 0.8,
  "test_macro_f1": 0.8,
  "test_weighted_f1": 0.8,
  "test_f1_per_emotion": {
   "ANGER": 0.87,
   "FEAR": 0.72,
   "NEUTRAL": 0.87,
   "SADNESS": 0.74
  }
 },
 {
  "run_id": "ja_JVNV_hubert-base-ls960",
  "language": "Japanese",
  "language_folder": "Japanese",
  "iso": "ja",
  "family": "Japonic",
  "dataset": "JVNV",
  "catalog_dataset": "JVNV",
  "catalog_entry": "JVNV.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.77,
  "test_accuracy": 0.86,
  "test_macro_precision": 0.86,
  "test_macro_recall": 0.86,
  "test_macro_f1": 0.86,
  "test_weighted_f1": 0.86,
  "test_f1_per_emotion": {
   "ANGER": 0.87,
   "FEAR": 0.81,
   "HAPPINESS": 0.83,
   "SADNESS": 0.91
  }
 },
 {
  "run_id": "ja_JVNV_hubert-large-ls960-ft",
  "language": "Japanese",
  "language_folder": "Japanese",
  "iso": "ja",
  "family": "Japonic",
  "dataset": "JVNV",
  "catalog_dataset": "JVNV",
  "catalog_entry": "JVNV.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.46,
  "test_accuracy": 0.49,
  "test_macro_precision": 0.57,
  "test_macro_recall": 0.49,
  "test_macro_f1": 0.47,
  "test_weighted_f1": 0.46,
  "test_f1_per_emotion": {
   "ANGER": 0.57,
   "FEAR": 0.3,
   "HAPPINESS": 0.49,
   "SADNESS": 0.51
  }
 },
 {
  "run_id": "ja_JVNV_wav2vec2-base",
  "language": "Japanese",
  "language_folder": "Japanese",
  "iso": "ja",
  "family": "Japonic",
  "dataset": "JVNV",
  "catalog_dataset": "JVNV",
  "catalog_entry": "JVNV.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.61,
  "test_accuracy": 0.67,
  "test_macro_precision": 0.67,
  "test_macro_recall": 0.66,
  "test_macro_f1": 0.65,
  "test_weighted_f1": 0.66,
  "test_f1_per_emotion": {
   "ANGER": 0.75,
   "FEAR": 0.51,
   "HAPPINESS": 0.62,
   "SADNESS": 0.74
  }
 },
 {
  "run_id": "ja_JVNV_wav2vec2-large-960h",
  "language": "Japanese",
  "language_folder": "Japanese",
  "iso": "ja",
  "family": "Japonic",
  "dataset": "JVNV",
  "catalog_dataset": "JVNV",
  "catalog_entry": "JVNV.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.33,
  "test_accuracy": 0.39,
  "test_macro_precision": 0.39,
  "test_macro_recall": 0.4,
  "test_macro_f1": 0.3,
  "test_weighted_f1": 0.29,
  "test_f1_per_emotion": {
   "ANGER": 0.51,
   "FEAR": 0.0,
   "HAPPINESS": 0.13,
   "SADNESS": 0.55
  }
 },
 {
  "run_id": "ja_JVNV_wav2vec2-large-lv60",
  "language": "Japanese",
  "language_folder": "Japanese",
  "iso": "ja",
  "family": "Japonic",
  "dataset": "JVNV",
  "catalog_dataset": "JVNV",
  "catalog_entry": "JVNV.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.31,
  "test_accuracy": 0.26,
  "test_macro_precision": 0.24,
  "test_macro_recall": 0.25,
  "test_macro_f1": 0.22,
  "test_weighted_f1": 0.22,
  "test_f1_per_emotion": {
   "ANGER": 0.39,
   "FEAR": 0.16,
   "HAPPINESS": 0.16,
   "SADNESS": 0.16
  }
 },
 {
  "run_id": "ja_JVNV_wav2vec2-xls-r-300m",
  "language": "Japanese",
  "language_folder": "Japanese",
  "iso": "ja",
  "family": "Japonic",
  "dataset": "JVNV",
  "catalog_dataset": "JVNV",
  "catalog_entry": "JVNV.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.42,
  "test_accuracy": 0.43,
  "test_macro_precision": 0.44,
  "test_macro_recall": 0.44,
  "test_macro_f1": 0.4,
  "test_weighted_f1": 0.4,
  "test_f1_per_emotion": {
   "ANGER": 0.51,
   "FEAR": 0.19,
   "HAPPINESS": 0.42,
   "SADNESS": 0.5
  }
 },
 {
  "run_id": "ja_JVNV_wav2vec2-xls-r-1b",
  "language": "Japanese",
  "language_folder": "Japanese",
  "iso": "ja",
  "family": "Japonic",
  "dataset": "JVNV",
  "catalog_dataset": "JVNV",
  "catalog_entry": "JVNV.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.4,
  "test_accuracy": 0.34,
  "test_macro_precision": 0.41,
  "test_macro_recall": 0.37,
  "test_macro_f1": 0.31,
  "test_weighted_f1": 0.29,
  "test_f1_per_emotion": {
   "ANGER": 0.08,
   "FEAR": 0.32,
   "HAPPINESS": 0.38,
   "SADNESS": 0.45
  }
 },
 {
  "run_id": "ja_JVNV_wavlm-base-plus",
  "language": "Japanese",
  "language_folder": "Japanese",
  "iso": "ja",
  "family": "Japonic",
  "dataset": "JVNV",
  "catalog_dataset": "JVNV",
  "catalog_entry": "JVNV.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.75,
  "test_accuracy": 0.84,
  "test_macro_precision": 0.84,
  "test_macro_recall": 0.84,
  "test_macro_f1": 0.84,
  "test_weighted_f1": 0.84,
  "test_f1_per_emotion": {
   "ANGER": 0.85,
   "FEAR": 0.81,
   "HAPPINESS": 0.8,
   "SADNESS": 0.89
  }
 },
 {
  "run_id": "ja_JVNV_wavlm-large",
  "language": "Japanese",
  "language_folder": "Japanese",
  "iso": "ja",
  "family": "Japonic",
  "dataset": "JVNV",
  "catalog_dataset": "JVNV",
  "catalog_entry": "JVNV.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.87,
  "test_accuracy": 0.85,
  "test_macro_precision": 0.85,
  "test_macro_recall": 0.85,
  "test_macro_f1": 0.85,
  "test_weighted_f1": 0.85,
  "test_f1_per_emotion": {
   "ANGER": 0.92,
   "FEAR": 0.79,
   "HAPPINESS": 0.89,
   "SADNESS": 0.81
  }
 },
 {
  "run_id": "ja_JVNV_whisper-small",
  "language": "Japanese",
  "language_folder": "Japanese",
  "iso": "ja",
  "family": "Japonic",
  "dataset": "JVNV",
  "catalog_dataset": "JVNV",
  "catalog_entry": "JVNV.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.8,
  "test_accuracy": 0.81,
  "test_macro_precision": 0.81,
  "test_macro_recall": 0.82,
  "test_macro_f1": 0.81,
  "test_weighted_f1": 0.81,
  "test_f1_per_emotion": {
   "ANGER": 0.87,
   "FEAR": 0.77,
   "HAPPINESS": 0.86,
   "SADNESS": 0.75
  }
 },
 {
  "run_id": "ja_JVNV_whisper-large",
  "language": "Japanese",
  "language_folder": "Japanese",
  "iso": "ja",
  "family": "Japonic",
  "dataset": "JVNV",
  "catalog_dataset": "JVNV",
  "catalog_entry": "JVNV.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.83,
  "test_accuracy": 0.87,
  "test_macro_precision": 0.87,
  "test_macro_recall": 0.88,
  "test_macro_f1": 0.87,
  "test_weighted_f1": 0.87,
  "test_f1_per_emotion": {
   "ANGER": 0.93,
   "FEAR": 0.83,
   "HAPPINESS": 0.89,
   "SADNESS": 0.84
  }
 },
 {
  "run_id": "kn_Kannada-Dataset_hubert-base-ls960",
  "language": "Kannada",
  "language_folder": "Kannada",
  "iso": "kn",
  "family": "Dravidian",
  "dataset": "Kannada-Dataset",
  "catalog_dataset": "Agrawal et al (2022)",
  "catalog_entry": "Agrawal_et_al_2022.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.21,
  "test_accuracy": 0.29,
  "test_macro_precision": 0.36,
  "test_macro_recall": 0.36,
  "test_macro_f1": 0.28,
  "test_weighted_f1": 0.25,
  "test_f1_per_emotion": {
   "ANGER": 0.43,
   "FEAR": 0.19,
   "HAPPINESS": 0.11,
   "NEUTRAL": 0.17,
   "SADNESS": 0.52
  }
 },
 {
  "run_id": "kn_Kannada-Dataset_hubert-large-ls960-ft",
  "language": "Kannada",
  "language_folder": "Kannada",
  "iso": "kn",
  "family": "Dravidian",
  "dataset": "Kannada-Dataset",
  "catalog_dataset": "Agrawal et al (2022)",
  "catalog_entry": "Agrawal_et_al_2022.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.19,
  "test_accuracy": 0.19,
  "test_macro_precision": 0.19,
  "test_macro_recall": 0.18,
  "test_macro_f1": 0.16,
  "test_weighted_f1": 0.17,
  "test_f1_per_emotion": {
   "ANGER": 0.3,
   "FEAR": 0.15,
   "HAPPINESS": 0.07,
   "NEUTRAL": 0.2,
   "SADNESS": 0.06
  }
 },
 {
  "run_id": "kn_Kannada-Dataset_wav2vec2-base",
  "language": "Kannada",
  "language_folder": "Kannada",
  "iso": "kn",
  "family": "Dravidian",
  "dataset": "Kannada-Dataset",
  "catalog_dataset": "Agrawal et al (2022)",
  "catalog_entry": "Agrawal_et_al_2022.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.18,
  "test_accuracy": 0.22,
  "test_macro_precision": 0.21,
  "test_macro_recall": 0.24,
  "test_macro_f1": 0.17,
  "test_weighted_f1": 0.17,
  "test_f1_per_emotion": {
   "ANGER": 0.34,
   "FEAR": 0.25,
   "HAPPINESS": 0.16,
   "NEUTRAL": 0.0,
   "SADNESS": 0.1
  }
 },
 {
  "run_id": "kn_Kannada-Dataset_wav2vec2-large-960h",
  "language": "Kannada",
  "language_folder": "Kannada",
  "iso": "kn",
  "family": "Dravidian",
  "dataset": "Kannada-Dataset",
  "catalog_dataset": "Agrawal et al (2022)",
  "catalog_entry": "Agrawal_et_al_2022.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.16,
  "test_accuracy": 0.27,
  "test_macro_precision": 0.21,
  "test_macro_recall": 0.23,
  "test_macro_f1": 0.19,
  "test_weighted_f1": 0.2,
  "test_f1_per_emotion": {
   "ANGER": 0.43,
   "FEAR": 0.26,
   "HAPPINESS": 0.0,
   "NEUTRAL": 0.19,
   "SADNESS": 0.05
  }
 },
 {
  "run_id": "kn_Kannada-Dataset_wav2vec2-large-lv60",
  "language": "Kannada",
  "language_folder": "Kannada",
  "iso": "kn",
  "family": "Dravidian",
  "dataset": "Kannada-Dataset",
  "catalog_dataset": "Agrawal et al (2022)",
  "catalog_entry": "Agrawal_et_al_2022.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.18,
  "test_accuracy": 0.23,
  "test_macro_precision": 0.2,
  "test_macro_recall": 0.22,
  "test_macro_f1": 0.19,
  "test_weighted_f1": 0.21,
  "test_f1_per_emotion": {
   "ANGER": 0.28,
   "FEAR": 0.04,
   "HAPPINESS": 0.14,
   "NEUTRAL": 0.29,
   "SADNESS": 0.19
  }
 },
 {
  "run_id": "kn_Kannada-Dataset_wav2vec2-xls-r-300m",
  "language": "Kannada",
  "language_folder": "Kannada",
  "iso": "kn",
  "family": "Dravidian",
  "dataset": "Kannada-Dataset",
  "catalog_dataset": "Agrawal et al (2022)",
  "catalog_entry": "Agrawal_et_al_2022.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.26,
  "test_accuracy": 0.17,
  "test_macro_precision": 0.22,
  "test_macro_recall": 0.21,
  "test_macro_f1": 0.17,
  "test_weighted_f1": 0.16,
  "test_f1_per_emotion": {
   "ANGER": 0.19,
   "FEAR": 0.2,
   "HAPPINESS": 0.19,
   "NEUTRAL": 0.15,
   "SADNESS": 0.09
  }
 },
 {
  "run_id": "kn_Kannada-Dataset_wav2vec2-xls-r-1b",
  "language": "Kannada",
  "language_folder": "Kannada",
  "iso": "kn",
  "family": "Dravidian",
  "dataset": "Kannada-Dataset",
  "catalog_dataset": "Agrawal et al (2022)",
  "catalog_entry": "Agrawal_et_al_2022.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.15,
  "test_accuracy": 0.26,
  "test_macro_precision": 0.21,
  "test_macro_recall": 0.22,
  "test_macro_f1": 0.2,
  "test_weighted_f1": 0.25,
  "test_f1_per_emotion": {
   "ANGER": 0.24,
   "FEAR": 0.34,
   "HAPPINESS": 0.0,
   "NEUTRAL": 0.14,
   "SADNESS": 0.3
  }
 },
 {
  "run_id": "kn_Kannada-Dataset_wavlm-base-plus",
  "language": "Kannada",
  "language_folder": "Kannada",
  "iso": "kn",
  "family": "Dravidian",
  "dataset": "Kannada-Dataset",
  "catalog_dataset": "Agrawal et al (2022)",
  "catalog_entry": "Agrawal_et_al_2022.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.19,
  "test_accuracy": 0.26,
  "test_macro_precision": 0.18,
  "test_macro_recall": 0.32,
  "test_macro_f1": 0.2,
  "test_weighted_f1": 0.16,
  "test_f1_per_emotion": {
   "ANGER": 0.43,
   "FEAR": 0.32,
   "HAPPINESS": 0.0,
   "NEUTRAL": 0.08,
   "SADNESS": 0.16
  }
 },
 {
  "run_id": "kn_Kannada-Dataset_wavlm-large",
  "language": "Kannada",
  "language_folder": "Kannada",
  "iso": "kn",
  "family": "Dravidian",
  "dataset": "Kannada-Dataset",
  "catalog_dataset": "Agrawal et al (2022)",
  "catalog_entry": "Agrawal_et_al_2022.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.36,
  "test_accuracy": 0.48,
  "test_macro_precision": 0.45,
  "test_macro_recall": 0.44,
  "test_macro_f1": 0.44,
  "test_weighted_f1": 0.47,
  "test_f1_per_emotion": {
   "ANGER": 0.6,
   "FEAR": 0.56,
   "HAPPINESS": 0.15,
   "NEUTRAL": 0.31,
   "SADNESS": 0.56
  }
 },
 {
  "run_id": "kn_Kannada-Dataset_whisper-small",
  "language": "Kannada",
  "language_folder": "Kannada",
  "iso": "kn",
  "family": "Dravidian",
  "dataset": "Kannada-Dataset",
  "catalog_dataset": "Agrawal et al (2022)",
  "catalog_entry": "Agrawal_et_al_2022.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.41,
  "test_accuracy": 0.3,
  "test_macro_precision": 0.32,
  "test_macro_recall": 0.31,
  "test_macro_f1": 0.3,
  "test_weighted_f1": 0.31,
  "test_f1_per_emotion": {
   "ANGER": 0.35,
   "FEAR": 0.41,
   "HAPPINESS": 0.31,
   "NEUTRAL": 0.29,
   "SADNESS": 0.14
  }
 },
 {
  "run_id": "kn_Kannada-Dataset_whisper-large",
  "language": "Kannada",
  "language_folder": "Kannada",
  "iso": "kn",
  "family": "Dravidian",
  "dataset": "Kannada-Dataset",
  "catalog_dataset": "Agrawal et al (2022)",
  "catalog_entry": "Agrawal_et_al_2022.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.37,
  "test_accuracy": 0.36,
  "test_macro_precision": 0.36,
  "test_macro_recall": 0.36,
  "test_macro_f1": 0.35,
  "test_weighted_f1": 0.35,
  "test_f1_per_emotion": {
   "ANGER": 0.4,
   "FEAR": 0.44,
   "HAPPINESS": 0.39,
   "NEUTRAL": 0.26,
   "SADNESS": 0.24
  }
 },
 {
  "run_id": "kk_KazakhEmotionalTTS_hubert-base-ls960",
  "language": "Kazakh",
  "language_folder": "Kazakh",
  "iso": "kk",
  "family": "Turkic",
  "dataset": "KazakhEmotionalTTS",
  "catalog_dataset": "KazEmoTTS",
  "catalog_entry": "KazEmoTTS.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.54,
  "test_accuracy": 0.51,
  "test_macro_precision": 0.64,
  "test_macro_recall": 0.51,
  "test_macro_f1": 0.5,
  "test_weighted_f1": 0.5,
  "test_f1_per_emotion": {
   "ANGER": 0.63,
   "FEAR": 0.31,
   "HAPPINESS": 0.71,
   "NEUTRAL": 0.5,
   "SADNESS": 0.35
  }
 },
 {
  "run_id": "kk_KazakhEmotionalTTS_hubert-large-ls960-ft",
  "language": "Kazakh",
  "language_folder": "Kazakh",
  "iso": "kk",
  "family": "Turkic",
  "dataset": "KazakhEmotionalTTS",
  "catalog_dataset": "KazEmoTTS",
  "catalog_entry": "KazEmoTTS.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.28,
  "test_accuracy": 0.29,
  "test_macro_precision": 0.36,
  "test_macro_recall": 0.29,
  "test_macro_f1": 0.25,
  "test_weighted_f1": 0.25,
  "test_f1_per_emotion": {
   "ANGER": 0.23,
   "FEAR": 0.24,
   "HAPPINESS": 0.23,
   "NEUTRAL": 0.4,
   "SADNESS": 0.13
  }
 },
 {
  "run_id": "kk_KazakhEmotionalTTS_wav2vec2-base",
  "language": "Kazakh",
  "language_folder": "Kazakh",
  "iso": "kk",
  "family": "Turkic",
  "dataset": "KazakhEmotionalTTS",
  "catalog_dataset": "KazEmoTTS",
  "catalog_entry": "KazEmoTTS.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.52,
  "test_accuracy": 0.53,
  "test_macro_precision": 0.59,
  "test_macro_recall": 0.52,
  "test_macro_f1": 0.52,
  "test_weighted_f1": 0.52,
  "test_f1_per_emotion": {
   "ANGER": 0.56,
   "FEAR": 0.51,
   "HAPPINESS": 0.51,
   "NEUTRAL": 0.56,
   "SADNESS": 0.47
  }
 },
 {
  "run_id": "kk_KazakhEmotionalTTS_wav2vec2-large-960h",
  "language": "Kazakh",
  "language_folder": "Kazakh",
  "iso": "kk",
  "family": "Turkic",
  "dataset": "KazakhEmotionalTTS",
  "catalog_dataset": "KazEmoTTS",
  "catalog_entry": "KazEmoTTS.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.22,
  "test_accuracy": 0.24,
  "test_macro_precision": 0.27,
  "test_macro_recall": 0.23,
  "test_macro_f1": 0.2,
  "test_weighted_f1": 0.2,
  "test_f1_per_emotion": {
   "ANGER": 0.21,
   "FEAR": 0.14,
   "HAPPINESS": 0.16,
   "NEUTRAL": 0.34,
   "SADNESS": 0.15
  }
 },
 {
  "run_id": "kk_KazakhEmotionalTTS_wav2vec2-large-lv60",
  "language": "Kazakh",
  "language_folder": "Kazakh",
  "iso": "kk",
  "family": "Turkic",
  "dataset": "KazakhEmotionalTTS",
  "catalog_dataset": "KazEmoTTS",
  "catalog_entry": "KazEmoTTS.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.21,
  "test_accuracy": 0.21,
  "test_macro_precision": 0.24,
  "test_macro_recall": 0.22,
  "test_macro_f1": 0.14,
  "test_weighted_f1": 0.14,
  "test_f1_per_emotion": {
   "ANGER": 0.05,
   "FEAR": 0.08,
   "HAPPINESS": 0.25,
   "NEUTRAL": 0.33,
   "SADNESS": 0.0
  }
 },
 {
  "run_id": "kk_KazakhEmotionalTTS_wav2vec2-xls-r-300m",
  "language": "Kazakh",
  "language_folder": "Kazakh",
  "iso": "kk",
  "family": "Turkic",
  "dataset": "KazakhEmotionalTTS",
  "catalog_dataset": "KazEmoTTS",
  "catalog_entry": "KazEmoTTS.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.37,
  "test_accuracy": 0.35,
  "test_macro_precision": 0.4,
  "test_macro_recall": 0.36,
  "test_macro_f1": 0.34,
  "test_weighted_f1": 0.33,
  "test_f1_per_emotion": {
   "ANGER": 0.27,
   "FEAR": 0.19,
   "HAPPINESS": 0.48,
   "NEUTRAL": 0.37,
   "SADNESS": 0.37
  }
 },
 {
  "run_id": "kk_KazakhEmotionalTTS_wav2vec2-xls-r-1b",
  "language": "Kazakh",
  "language_folder": "Kazakh",
  "iso": "kk",
  "family": "Turkic",
  "dataset": "KazakhEmotionalTTS",
  "catalog_dataset": "KazEmoTTS",
  "catalog_entry": "KazEmoTTS.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.3,
  "test_accuracy": 0.32,
  "test_macro_precision": 0.3,
  "test_macro_recall": 0.31,
  "test_macro_f1": 0.3,
  "test_weighted_f1": 0.3,
  "test_f1_per_emotion": {
   "ANGER": 0.39,
   "FEAR": 0.16,
   "HAPPINESS": 0.26,
   "NEUTRAL": 0.37,
   "SADNESS": 0.31
  }
 },
 {
  "run_id": "kk_KazakhEmotionalTTS_wavlm-base-plus",
  "language": "Kazakh",
  "language_folder": "Kazakh",
  "iso": "kk",
  "family": "Turkic",
  "dataset": "KazakhEmotionalTTS",
  "catalog_dataset": "KazEmoTTS",
  "catalog_entry": "KazEmoTTS.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.52,
  "test_accuracy": 0.51,
  "test_macro_precision": 0.56,
  "test_macro_recall": 0.51,
  "test_macro_f1": 0.49,
  "test_weighted_f1": 0.5,
  "test_f1_per_emotion": {
   "ANGER": 0.61,
   "FEAR": 0.45,
   "HAPPINESS": 0.48,
   "NEUTRAL": 0.57,
   "SADNESS": 0.35
  }
 },
 {
  "run_id": "kk_KazakhEmotionalTTS_wavlm-large",
  "language": "Kazakh",
  "language_folder": "Kazakh",
  "iso": "kk",
  "family": "Turkic",
  "dataset": "KazakhEmotionalTTS",
  "catalog_dataset": "KazEmoTTS",
  "catalog_entry": "KazEmoTTS.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.58,
  "test_accuracy": 0.58,
  "test_macro_precision": 0.67,
  "test_macro_recall": 0.58,
  "test_macro_f1": 0.57,
  "test_weighted_f1": 0.56,
  "test_f1_per_emotion": {
   "ANGER": 0.69,
   "FEAR": 0.43,
   "HAPPINESS": 0.77,
   "NEUTRAL": 0.58,
   "SADNESS": 0.37
  }
 },
 {
  "run_id": "kk_KazakhEmotionalTTS_whisper-small",
  "language": "Kazakh",
  "language_folder": "Kazakh",
  "iso": "kk",
  "family": "Turkic",
  "dataset": "KazakhEmotionalTTS",
  "catalog_dataset": "KazEmoTTS",
  "catalog_entry": "KazEmoTTS.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.7,
  "test_accuracy": 0.65,
  "test_macro_precision": 0.65,
  "test_macro_recall": 0.65,
  "test_macro_f1": 0.64,
  "test_weighted_f1": 0.65,
  "test_f1_per_emotion": {
   "ANGER": 0.7,
   "FEAR": 0.55,
   "HAPPINESS": 0.83,
   "NEUTRAL": 0.62,
   "SADNESS": 0.52
  }
 },
 {
  "run_id": "kk_KazakhEmotionalTTS_whisper-large",
  "language": "Kazakh",
  "language_folder": "Kazakh",
  "iso": "kk",
  "family": "Turkic",
  "dataset": "KazakhEmotionalTTS",
  "catalog_dataset": "KazEmoTTS",
  "catalog_entry": "KazEmoTTS.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.7,
  "test_accuracy": 0.65,
  "test_macro_precision": 0.64,
  "test_macro_recall": 0.65,
  "test_macro_f1": 0.63,
  "test_weighted_f1": 0.64,
  "test_f1_per_emotion": {
   "ANGER": 0.71,
   "FEAR": 0.55,
   "HAPPINESS": 0.85,
   "NEUTRAL": 0.65,
   "SADNESS": 0.41
  }
 },
 {
  "run_id": "ko_KESDy18_hubert-base-ls960",
  "language": "Korean",
  "language_folder": "Korean",
  "iso": "ko",
  "family": "Koreanic",
  "dataset": "KESDy18",
  "catalog_dataset": "KESDy18",
  "catalog_entry": "KESDy18.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.76,
  "test_accuracy": 0.8,
  "test_macro_precision": 0.8,
  "test_macro_recall": 0.79,
  "test_macro_f1": 0.79,
  "test_weighted_f1": 0.8,
  "test_f1_per_emotion": {
   "ANGER": 0.81,
   "HAPPINESS": 0.67,
   "NEUTRAL": 0.81,
   "SADNESS": 0.88
  }
 },
 {
  "run_id": "ko_KESDy18_hubert-large-ls960-ft",
  "language": "Korean",
  "language_folder": "Korean",
  "iso": "ko",
  "family": "Koreanic",
  "dataset": "KESDy18",
  "catalog_dataset": "KESDy18",
  "catalog_entry": "KESDy18.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.46,
  "test_accuracy": 0.46,
  "test_macro_precision": 0.55,
  "test_macro_recall": 0.48,
  "test_macro_f1": 0.45,
  "test_weighted_f1": 0.45,
  "test_f1_per_emotion": {
   "ANGER": 0.41,
   "HAPPINESS": 0.39,
   "NEUTRAL": 0.49,
   "SADNESS": 0.51
  }
 },
 {
  "run_id": "ko_KESDy18_wav2vec2-base",
  "language": "Korean",
  "language_folder": "Korean",
  "iso": "ko",
  "family": "Koreanic",
  "dataset": "KESDy18",
  "catalog_dataset": "KESDy18",
  "catalog_entry": "KESDy18.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.67,
  "test_accuracy": 0.7,
  "test_macro_precision": 0.69,
  "test_macro_recall": 0.69,
  "test_macro_f1": 0.68,
  "test_weighted_f1": 0.69,
  "test_f1_per_emotion": {
   "ANGER": 0.75,
   "HAPPINESS": 0.54,
   "NEUTRAL": 0.66,
   "SADNESS": 0.78
  }
 },
 {
  "run_id": "ko_KESDy18_wav2vec2-large-960h",
  "language": "Korean",
  "language_folder": "Korean",
  "iso": "ko",
  "family": "Koreanic",
  "dataset": "KESDy18",
  "catalog_dataset": "KESDy18",
  "catalog_entry": "KESDy18.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.25,
  "test_accuracy": 0.23,
  "test_macro_precision": 0.39,
  "test_macro_recall": 0.27,
  "test_macro_f1": 0.14,
  "test_weighted_f1": 0.12,
  "test_f1_per_emotion": {
   "ANGER": 0.03,
   "HAPPINESS": 0.06,
   "NEUTRAL": 0.35,
   "SADNESS": 0.11
  }
 },
 {
  "run_id": "ko_KESDy18_wav2vec2-large-lv60",
  "language": "Korean",
  "language_folder": "Korean",
  "iso": "ko",
  "family": "Koreanic",
  "dataset": "KESDy18",
  "catalog_dataset": "KESDy18",
  "catalog_entry": "KESDy18.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.25,
  "test_accuracy": 0.24,
  "test_macro_precision": 0.28,
  "test_macro_recall": 0.26,
  "test_macro_f1": 0.2,
  "test_weighted_f1": 0.19,
  "test_f1_per_emotion": {
   "ANGER": 0.21,
   "HAPPINESS": 0.04,
   "NEUTRAL": 0.33,
   "SADNESS": 0.21
  }
 },
 {
  "run_id": "ko_KESDy18_wav2vec2-xls-r-300m",
  "language": "Korean",
  "language_folder": "Korean",
  "iso": "ko",
  "family": "Koreanic",
  "dataset": "KESDy18",
  "catalog_dataset": "KESDy18",
  "catalog_entry": "KESDy18.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.4,
  "test_accuracy": 0.39,
  "test_macro_precision": 0.43,
  "test_macro_recall": 0.4,
  "test_macro_f1": 0.38,
  "test_weighted_f1": 0.38,
  "test_f1_per_emotion": {
   "ANGER": 0.43,
   "HAPPINESS": 0.22,
   "NEUTRAL": 0.39,
   "SADNESS": 0.47
  }
 },
 {
  "run_id": "ko_KESDy18_wav2vec2-xls-r-1b",
  "language": "Korean",
  "language_folder": "Korean",
  "iso": "ko",
  "family": "Koreanic",
  "dataset": "KESDy18",
  "catalog_dataset": "KESDy18",
  "catalog_entry": "KESDy18.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.43,
  "test_accuracy": 0.43,
  "test_macro_precision": 0.51,
  "test_macro_recall": 0.42,
  "test_macro_f1": 0.42,
  "test_weighted_f1": 0.42,
  "test_f1_per_emotion": {
   "ANGER": 0.38,
   "HAPPINESS": 0.3,
   "NEUTRAL": 0.48,
   "SADNESS": 0.53
  }
 },
 {
  "run_id": "ko_KESDy18_wavlm-base-plus",
  "language": "Korean",
  "language_folder": "Korean",
  "iso": "ko",
  "family": "Koreanic",
  "dataset": "KESDy18",
  "catalog_dataset": "KESDy18",
  "catalog_entry": "KESDy18.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.7,
  "test_accuracy": 0.74,
  "test_macro_precision": 0.74,
  "test_macro_recall": 0.72,
  "test_macro_f1": 0.72,
  "test_weighted_f1": 0.74,
  "test_f1_per_emotion": {
   "ANGER": 0.74,
   "HAPPINESS": 0.54,
   "NEUTRAL": 0.77,
   "SADNESS": 0.84
  }
 },
 {
  "run_id": "ko_KESDy18_wavlm-large",
  "language": "Korean",
  "language_folder": "Korean",
  "iso": "ko",
  "family": "Koreanic",
  "dataset": "KESDy18",
  "catalog_dataset": "KESDy18",
  "catalog_entry": "KESDy18.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.77,
  "test_accuracy": 0.76,
  "test_macro_precision": 0.78,
  "test_macro_recall": 0.77,
  "test_macro_f1": 0.75,
  "test_weighted_f1": 0.76,
  "test_f1_per_emotion": {
   "ANGER": 0.78,
   "HAPPINESS": 0.68,
   "NEUTRAL": 0.73,
   "SADNESS": 0.83
  }
 },
 {
  "run_id": "ko_KESDy18_whisper-small",
  "language": "Korean",
  "language_folder": "Korean",
  "iso": "ko",
  "family": "Koreanic",
  "dataset": "KESDy18",
  "catalog_dataset": "KESDy18",
  "catalog_entry": "KESDy18.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.81,
  "test_accuracy": 0.81,
  "test_macro_precision": 0.81,
  "test_macro_recall": 0.82,
  "test_macro_f1": 0.81,
  "test_weighted_f1": 0.81,
  "test_f1_per_emotion": {
   "ANGER": 0.79,
   "HAPPINESS": 0.73,
   "NEUTRAL": 0.81,
   "SADNESS": 0.93
  }
 },
 {
  "run_id": "ko_KESDy18_whisper-large",
  "language": "Korean",
  "language_folder": "Korean",
  "iso": "ko",
  "family": "Koreanic",
  "dataset": "KESDy18",
  "catalog_dataset": "KESDy18",
  "catalog_entry": "KESDy18.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.78,
  "test_accuracy": 0.79,
  "test_macro_precision": 0.79,
  "test_macro_recall": 0.79,
  "test_macro_f1": 0.79,
  "test_weighted_f1": 0.79,
  "test_f1_per_emotion": {
   "ANGER": 0.76,
   "HAPPINESS": 0.73,
   "NEUTRAL": 0.75,
   "SADNESS": 0.91
  }
 },
 {
  "run_id": "or_SITB-OSED_hubert-base-ls960",
  "language": "Odia",
  "language_folder": "Odia",
  "iso": "or",
  "family": "Indo-European",
  "dataset": "SITB-OSED",
  "catalog_dataset": "SITB-OSED",
  "catalog_entry": "SITB-OSED.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.76,
  "test_accuracy": 0.75,
  "test_macro_precision": 0.78,
  "test_macro_recall": 0.73,
  "test_macro_f1": 0.74,
  "test_weighted_f1": 0.75,
  "test_f1_per_emotion": {
   "ANGER": 0.72,
   "FEAR": 0.72,
   "HAPPINESS": 0.74,
   "SADNESS": 0.79
  }
 },
 {
  "run_id": "or_SITB-OSED_hubert-large-ls960-ft",
  "language": "Odia",
  "language_folder": "Odia",
  "iso": "or",
  "family": "Indo-European",
  "dataset": "SITB-OSED",
  "catalog_dataset": "SITB-OSED",
  "catalog_entry": "SITB-OSED.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.61,
  "test_accuracy": 0.62,
  "test_macro_precision": 0.65,
  "test_macro_recall": 0.62,
  "test_macro_f1": 0.62,
  "test_weighted_f1": 0.62,
  "test_f1_per_emotion": {
   "ANGER": 0.64,
   "FEAR": 0.56,
   "HAPPINESS": 0.62,
   "SADNESS": 0.66
  }
 },
 {
  "run_id": "or_SITB-OSED_wav2vec2-base",
  "language": "Odia",
  "language_folder": "Odia",
  "iso": "or",
  "family": "Indo-European",
  "dataset": "SITB-OSED",
  "catalog_dataset": "SITB-OSED",
  "catalog_entry": "SITB-OSED.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.65,
  "test_accuracy": 0.64,
  "test_macro_precision": 0.69,
  "test_macro_recall": 0.6,
  "test_macro_f1": 0.6,
  "test_weighted_f1": 0.62,
  "test_f1_per_emotion": {
   "ANGER": 0.63,
   "FEAR": 0.42,
   "HAPPINESS": 0.62,
   "SADNESS": 0.73
  }
 },
 {
  "run_id": "or_SITB-OSED_wav2vec2-large-960h",
  "language": "Odia",
  "language_folder": "Odia",
  "iso": "or",
  "family": "Indo-European",
  "dataset": "SITB-OSED",
  "catalog_dataset": "SITB-OSED",
  "catalog_entry": "SITB-OSED.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.44,
  "test_accuracy": 0.43,
  "test_macro_precision": 0.47,
  "test_macro_recall": 0.41,
  "test_macro_f1": 0.39,
  "test_weighted_f1": 0.4,
  "test_f1_per_emotion": {
   "ANGER": 0.46,
   "FEAR": 0.18,
   "HAPPINESS": 0.45,
   "SADNESS": 0.48
  }
 },
 {
  "run_id": "or_SITB-OSED_wav2vec2-large-lv60",
  "language": "Odia",
  "language_folder": "Odia",
  "iso": "or",
  "family": "Indo-European",
  "dataset": "SITB-OSED",
  "catalog_dataset": "SITB-OSED",
  "catalog_entry": "SITB-OSED.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.29,
  "test_accuracy": 0.28,
  "test_macro_precision": 0.24,
  "test_macro_recall": 0.26,
  "test_macro_f1": 0.2,
  "test_weighted_f1": 0.21,
  "test_f1_per_emotion": {
   "ANGER": 0.12,
   "FEAR": 0.0,
   "HAPPINESS": 0.41,
   "SADNESS": 0.25
  }
 },
 {
  "run_id": "or_SITB-OSED_wav2vec2-xls-r-300m",
  "language": "Odia",
  "language_folder": "Odia",
  "iso": "or",
  "family": "Indo-European",
  "dataset": "SITB-OSED",
  "catalog_dataset": "SITB-OSED",
  "catalog_entry": "SITB-OSED.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.5,
  "test_accuracy": 0.51,
  "test_macro_precision": 0.62,
  "test_macro_recall": 0.49,
  "test_macro_f1": 0.48,
  "test_weighted_f1": 0.49,
  "test_f1_per_emotion": {
   "ANGER": 0.51,
   "FEAR": 0.27,
   "HAPPINESS": 0.51,
   "SADNESS": 0.63
  }
 },
 {
  "run_id": "or_SITB-OSED_wav2vec2-xls-r-1b",
  "language": "Odia",
  "language_folder": "Odia",
  "iso": "or",
  "family": "Indo-European",
  "dataset": "SITB-OSED",
  "catalog_dataset": "SITB-OSED",
  "catalog_entry": "SITB-OSED.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.54,
  "test_accuracy": 0.58,
  "test_macro_precision": 0.61,
  "test_macro_recall": 0.54,
  "test_macro_f1": 0.53,
  "test_weighted_f1": 0.55,
  "test_f1_per_emotion": {
   "ANGER": 0.65,
   "FEAR": 0.33,
   "HAPPINESS": 0.51,
   "SADNESS": 0.65
  }
 },
 {
  "run_id": "or_SITB-OSED_wavlm-base-plus",
  "language": "Odia",
  "language_folder": "Odia",
  "iso": "or",
  "family": "Indo-European",
  "dataset": "SITB-OSED",
  "catalog_dataset": "SITB-OSED",
  "catalog_entry": "SITB-OSED.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.79,
  "test_accuracy": 0.78,
  "test_macro_precision": 0.8,
  "test_macro_recall": 0.76,
  "test_macro_f1": 0.77,
  "test_weighted_f1": 0.77,
  "test_f1_per_emotion": {
   "ANGER": 0.79,
   "FEAR": 0.73,
   "HAPPINESS": 0.75,
   "SADNESS": 0.81
  }
 },
 {
  "run_id": "or_SITB-OSED_wavlm-large",
  "language": "Odia",
  "language_folder": "Odia",
  "iso": "or",
  "family": "Indo-European",
  "dataset": "SITB-OSED",
  "catalog_dataset": "SITB-OSED",
  "catalog_entry": "SITB-OSED.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.82,
  "test_accuracy": 0.83,
  "test_macro_precision": 0.84,
  "test_macro_recall": 0.83,
  "test_macro_f1": 0.83,
  "test_weighted_f1": 0.83,
  "test_f1_per_emotion": {
   "ANGER": 0.86,
   "FEAR": 0.8,
   "HAPPINESS": 0.83,
   "SADNESS": 0.84
  }
 },
 {
  "run_id": "or_SITB-OSED_whisper-small",
  "language": "Odia",
  "language_folder": "Odia",
  "iso": "or",
  "family": "Indo-European",
  "dataset": "SITB-OSED",
  "catalog_dataset": "SITB-OSED",
  "catalog_entry": "SITB-OSED.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.83,
  "test_accuracy": 0.83,
  "test_macro_precision": 0.83,
  "test_macro_recall": 0.82,
  "test_macro_f1": 0.83,
  "test_weighted_f1": 0.83,
  "test_f1_per_emotion": {
   "ANGER": 0.88,
   "FEAR": 0.77,
   "HAPPINESS": 0.81,
   "SADNESS": 0.85
  }
 },
 {
  "run_id": "or_SITB-OSED_whisper-large",
  "language": "Odia",
  "language_folder": "Odia",
  "iso": "or",
  "family": "Indo-European",
  "dataset": "SITB-OSED",
  "catalog_dataset": "SITB-OSED",
  "catalog_entry": "SITB-OSED.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.84,
  "test_accuracy": 0.83,
  "test_macro_precision": 0.83,
  "test_macro_recall": 0.82,
  "test_macro_f1": 0.83,
  "test_weighted_f1": 0.83,
  "test_f1_per_emotion": {
   "ANGER": 0.88,
   "FEAR": 0.78,
   "HAPPINESS": 0.8,
   "SADNESS": 0.85
  }
 },
 {
  "run_id": "fa_SHEMO_hubert-base-ls960",
  "language": "Persian",
  "language_folder": "Persian",
  "iso": "fa",
  "family": "Indo-European",
  "dataset": "SHEMO",
  "catalog_dataset": "ShEMO",
  "catalog_entry": "ShEMO.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.77,
  "test_accuracy": 0.8,
  "test_macro_precision": 0.58,
  "test_macro_recall": 0.53,
  "test_macro_f1": 0.54,
  "test_weighted_f1": 0.78,
  "test_f1_per_emotion": {
   "ANGER": 0.88,
   "FEAR": 0.0,
   "HAPPINESS": 0.34,
   "NEUTRAL": 0.84,
   "SADNESS": 0.65
  }
 },
 {
  "run_id": "fa_SHEMO_hubert-large-ls960-ft",
  "language": "Persian",
  "language_folder": "Persian",
  "iso": "fa",
  "family": "Indo-European",
  "dataset": "SHEMO",
  "catalog_dataset": "ShEMO",
  "catalog_entry": "ShEMO.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.57,
  "test_accuracy": 0.58,
  "test_macro_precision": 0.45,
  "test_macro_recall": 0.32,
  "test_macro_f1": 0.31,
  "test_weighted_f1": 0.53,
  "test_f1_per_emotion": {
   "ANGER": 0.62,
   "FEAR": 0.0,
   "HAPPINESS": 0.08,
   "NEUTRAL": 0.66,
   "SADNESS": 0.2
  }
 },
 {
  "run_id": "fa_SHEMO_wav2vec2-base",
  "language": "Persian",
  "language_folder": "Persian",
  "iso": "fa",
  "family": "Indo-European",
  "dataset": "SHEMO",
  "catalog_dataset": "ShEMO",
  "catalog_entry": "ShEMO.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.71,
  "test_accuracy": 0.76,
  "test_macro_precision": 0.46,
  "test_macro_recall": 0.47,
  "test_macro_f1": 0.46,
  "test_weighted_f1": 0.73,
  "test_f1_per_emotion": {
   "ANGER": 0.83,
   "FEAR": 0.0,
   "HAPPINESS": 0.0,
   "NEUTRAL": 0.79,
   "SADNESS": 0.69
  }
 },
 {
  "run_id": "fa_SHEMO_wav2vec2-large-960h",
  "language": "Persian",
  "language_folder": "Persian",
  "iso": "fa",
  "family": "Indo-European",
  "dataset": "SHEMO",
  "catalog_dataset": "ShEMO",
  "catalog_entry": "ShEMO.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.44,
  "test_accuracy": 0.44,
  "test_macro_precision": 0.25,
  "test_macro_recall": 0.23,
  "test_macro_f1": 0.18,
  "test_weighted_f1": 0.33,
  "test_f1_per_emotion": {
   "ANGER": 0.24,
   "FEAR": 0.0,
   "HAPPINESS": 0.0,
   "NEUTRAL": 0.6,
   "SADNESS": 0.06
  }
 },
 {
  "run_id": "fa_SHEMO_wav2vec2-large-lv60",
  "language": "Persian",
  "language_folder": "Persian",
  "iso": "fa",
  "family": "Indo-European",
  "dataset": "SHEMO",
  "catalog_dataset": "ShEMO",
  "catalog_entry": "ShEMO.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.43,
  "test_accuracy": 0.43,
  "test_macro_precision": 0.24,
  "test_macro_recall": 0.22,
  "test_macro_f1": 0.16,
  "test_weighted_f1": 0.3,
  "test_f1_per_emotion": {
   "ANGER": 0.22,
   "FEAR": 0.0,
   "HAPPINESS": 0.0,
   "NEUTRAL": 0.57,
   "SADNESS": 0.0
  }
 },
 {
  "run_id": "fa_SHEMO_wav2vec2-xls-r-300m",
  "language": "Persian",
  "language_folder": "Persian",
  "iso": "fa",
  "family": "Indo-European",
  "dataset": "SHEMO",
  "catalog_dataset": "ShEMO",
  "catalog_entry": "ShEMO.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.44,
  "test_accuracy": 0.46,
  "test_macro_precision": 0.4,
  "test_macro_recall": 0.24,
  "test_macro_f1": 0.19,
  "test_weighted_f1": 0.35,
  "test_f1_per_emotion": {
   "ANGER": 0.29,
   "FEAR": 0.0,
   "HAPPINESS": 0.0,
   "NEUTRAL": 0.59,
   "SADNESS": 0.09
  }
 },
 {
  "run_id": "fa_SHEMO_wav2vec2-xls-r-1b",
  "language": "Persian",
  "language_folder": "Persian",
  "iso": "fa",
  "family": "Indo-European",
  "dataset": "SHEMO",
  "catalog_dataset": "ShEMO",
  "catalog_entry": "ShEMO.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.6,
  "test_accuracy": 0.67,
  "test_macro_precision": 0.47,
  "test_macro_recall": 0.36,
  "test_macro_f1": 0.36,
  "test_weighted_f1": 0.63,
  "test_f1_per_emotion": {
   "ANGER": 0.7,
   "FEAR": 0.0,
   "HAPPINESS": 0.01,
   "NEUTRAL": 0.74,
   "SADNESS": 0.36
  }
 },
 {
  "run_id": "fa_SHEMO_wavlm-base-plus",
  "language": "Persian",
  "language_folder": "Persian",
  "iso": "fa",
  "family": "Indo-European",
  "dataset": "SHEMO",
  "catalog_dataset": "ShEMO",
  "catalog_entry": "ShEMO.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.77,
  "test_accuracy": 0.79,
  "test_macro_precision": 0.57,
  "test_macro_recall": 0.5,
  "test_macro_f1": 0.52,
  "test_weighted_f1": 0.77,
  "test_f1_per_emotion": {
   "ANGER": 0.89,
   "FEAR": 0.0,
   "HAPPINESS": 0.26,
   "NEUTRAL": 0.84,
   "SADNESS": 0.6
  }
 },
 {
  "run_id": "fa_SHEMO_wavlm-large",
  "language": "Persian",
  "language_folder": "Persian",
  "iso": "fa",
  "family": "Indo-European",
  "dataset": "SHEMO",
  "catalog_dataset": "ShEMO",
  "catalog_entry": "ShEMO.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.72,
  "test_accuracy": 0.8,
  "test_macro_precision": 0.71,
  "test_macro_recall": 0.55,
  "test_macro_f1": 0.59,
  "test_weighted_f1": 0.79,
  "test_f1_per_emotion": {
   "ANGER": 0.88,
   "FEAR": 0.15,
   "HAPPINESS": 0.45,
   "NEUTRAL": 0.84,
   "SADNESS": 0.62
  }
 },
 {
  "run_id": "fa_SHEMO_whisper-small",
  "language": "Persian",
  "language_folder": "Persian",
  "iso": "fa",
  "family": "Indo-European",
  "dataset": "SHEMO",
  "catalog_dataset": "ShEMO",
  "catalog_entry": "ShEMO.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.79,
  "test_accuracy": 0.83,
  "test_macro_precision": 0.63,
  "test_macro_recall": 0.62,
  "test_macro_f1": 0.62,
  "test_weighted_f1": 0.82,
  "test_f1_per_emotion": {
   "ANGER": 0.91,
   "FEAR": 0.0,
   "HAPPINESS": 0.62,
   "NEUTRAL": 0.85,
   "SADNESS": 0.71
  }
 },
 {
  "run_id": "fa_SHEMO_whisper-large",
  "language": "Persian",
  "language_folder": "Persian",
  "iso": "fa",
  "family": "Indo-European",
  "dataset": "SHEMO",
  "catalog_dataset": "ShEMO",
  "catalog_entry": "ShEMO.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.8,
  "test_accuracy": 0.82,
  "test_macro_precision": 0.63,
  "test_macro_recall": 0.6,
  "test_macro_f1": 0.61,
  "test_weighted_f1": 0.81,
  "test_f1_per_emotion": {
   "ANGER": 0.9,
   "FEAR": 0.0,
   "HAPPINESS": 0.62,
   "NEUTRAL": 0.84,
   "SADNESS": 0.68
  }
 },
 {
  "run_id": "pl_nEMO_hubert-base-ls960",
  "language": "Polish",
  "language_folder": "Polish",
  "iso": "pl",
  "family": "Indo-European",
  "dataset": "nEMO",
  "catalog_dataset": "nEMO",
  "catalog_entry": "nEMO.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.77,
  "test_accuracy": 0.79,
  "test_macro_precision": 0.8,
  "test_macro_recall": 0.79,
  "test_macro_f1": 0.79,
  "test_weighted_f1": 0.79,
  "test_f1_per_emotion": {
   "ANGER": 0.86,
   "FEAR": 0.8,
   "HAPPINESS": 0.73,
   "NEUTRAL": 0.76,
   "SADNESS": 0.78
  }
 },
 {
  "run_id": "pl_nEMO_hubert-large-ls960-ft",
  "language": "Polish",
  "language_folder": "Polish",
  "iso": "pl",
  "family": "Indo-European",
  "dataset": "nEMO",
  "catalog_dataset": "nEMO",
  "catalog_entry": "nEMO.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.4,
  "test_accuracy": 0.39,
  "test_macro_precision": 0.49,
  "test_macro_recall": 0.4,
  "test_macro_f1": 0.37,
  "test_weighted_f1": 0.37,
  "test_f1_per_emotion": {
   "ANGER": 0.42,
   "FEAR": 0.17,
   "HAPPINESS": 0.36,
   "NEUTRAL": 0.43,
   "SADNESS": 0.47
  }
 },
 {
  "run_id": "pl_nEMO_wav2vec2-base",
  "language": "Polish",
  "language_folder": "Polish",
  "iso": "pl",
  "family": "Indo-European",
  "dataset": "nEMO",
  "catalog_dataset": "nEMO",
  "catalog_entry": "nEMO.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.67,
  "test_accuracy": 0.69,
  "test_macro_precision": 0.69,
  "test_macro_recall": 0.69,
  "test_macro_f1": 0.68,
  "test_weighted_f1": 0.68,
  "test_f1_per_emotion": {
   "ANGER": 0.77,
   "FEAR": 0.75,
   "HAPPINESS": 0.47,
   "NEUTRAL": 0.69,
   "SADNESS": 0.7
  }
 },
 {
  "run_id": "pl_nEMO_wav2vec2-large-960h",
  "language": "Polish",
  "language_folder": "Polish",
  "iso": "pl",
  "family": "Indo-European",
  "dataset": "nEMO",
  "catalog_dataset": "nEMO",
  "catalog_entry": "nEMO.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.24,
  "test_accuracy": 0.24,
  "test_macro_precision": 0.29,
  "test_macro_recall": 0.25,
  "test_macro_f1": 0.16,
  "test_weighted_f1": 0.16,
  "test_f1_per_emotion": {
   "ANGER": 0.29,
   "FEAR": 0.0,
   "HAPPINESS": 0.05,
   "NEUTRAL": 0.35,
   "SADNESS": 0.13
  }
 },
 {
  "run_id": "pl_nEMO_wav2vec2-large-lv60",
  "language": "Polish",
  "language_folder": "Polish",
  "iso": "pl",
  "family": "Indo-European",
  "dataset": "nEMO",
  "catalog_dataset": "nEMO",
  "catalog_entry": "nEMO.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.23,
  "test_accuracy": 0.22,
  "test_macro_precision": 0.21,
  "test_macro_recall": 0.22,
  "test_macro_f1": 0.15,
  "test_weighted_f1": 0.15,
  "test_f1_per_emotion": {
   "ANGER": 0.01,
   "FEAR": 0.18,
   "HAPPINESS": 0.19,
   "NEUTRAL": 0.34,
   "SADNESS": 0.03
  }
 },
 {
  "run_id": "pl_nEMO_wav2vec2-xls-r-300m",
  "language": "Polish",
  "language_folder": "Polish",
  "iso": "pl",
  "family": "Indo-European",
  "dataset": "nEMO",
  "catalog_dataset": "nEMO",
  "catalog_entry": "nEMO.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.36,
  "test_accuracy": 0.37,
  "test_macro_precision": 0.44,
  "test_macro_recall": 0.38,
  "test_macro_f1": 0.36,
  "test_weighted_f1": 0.36,
  "test_f1_per_emotion": {
   "ANGER": 0.35,
   "FEAR": 0.22,
   "HAPPINESS": 0.34,
   "NEUTRAL": 0.42,
   "SADNESS": 0.44
  }
 },
 {
  "run_id": "pl_nEMO_wav2vec2-xls-r-1b",
  "language": "Polish",
  "language_folder": "Polish",
  "iso": "pl",
  "family": "Indo-European",
  "dataset": "nEMO",
  "catalog_dataset": "nEMO",
  "catalog_entry": "nEMO.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.43,
  "test_accuracy": 0.41,
  "test_macro_precision": 0.54,
  "test_macro_recall": 0.41,
  "test_macro_f1": 0.4,
  "test_weighted_f1": 0.4,
  "test_f1_per_emotion": {
   "ANGER": 0.43,
   "FEAR": 0.36,
   "HAPPINESS": 0.4,
   "NEUTRAL": 0.43,
   "SADNESS": 0.38
  }
 },
 {
  "run_id": "pl_nEMO_wavlm-base-plus",
  "language": "Polish",
  "language_folder": "Polish",
  "iso": "pl",
  "family": "Indo-European",
  "dataset": "nEMO",
  "catalog_dataset": "nEMO",
  "catalog_entry": "nEMO.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.73,
  "test_accuracy": 0.74,
  "test_macro_precision": 0.75,
  "test_macro_recall": 0.73,
  "test_macro_f1": 0.73,
  "test_weighted_f1": 0.74,
  "test_f1_per_emotion": {
   "ANGER": 0.81,
   "FEAR": 0.7,
   "HAPPINESS": 0.69,
   "NEUTRAL": 0.72,
   "SADNESS": 0.74
  }
 },
 {
  "run_id": "pl_nEMO_wavlm-large",
  "language": "Polish",
  "language_folder": "Polish",
  "iso": "pl",
  "family": "Indo-European",
  "dataset": "nEMO",
  "catalog_dataset": "nEMO",
  "catalog_entry": "nEMO.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.66,
  "test_accuracy": 0.66,
  "test_macro_precision": 0.8,
  "test_macro_recall": 0.66,
  "test_macro_f1": 0.67,
  "test_weighted_f1": 0.67,
  "test_f1_per_emotion": {
   "ANGER": 0.77,
   "FEAR": 0.59,
   "HAPPINESS": 0.71,
   "NEUTRAL": 0.58,
   "SADNESS": 0.74
  }
 },
 {
  "run_id": "pl_nEMO_whisper-small",
  "language": "Polish",
  "language_folder": "Polish",
  "iso": "pl",
  "family": "Indo-European",
  "dataset": "nEMO",
  "catalog_dataset": "nEMO",
  "catalog_entry": "nEMO.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.85,
  "test_accuracy": 0.85,
  "test_macro_precision": 0.85,
  "test_macro_recall": 0.85,
  "test_macro_f1": 0.85,
  "test_weighted_f1": 0.85,
  "test_f1_per_emotion": {
   "ANGER": 0.88,
   "FEAR": 0.82,
   "HAPPINESS": 0.87,
   "NEUTRAL": 0.82,
   "SADNESS": 0.86
  }
 },
 {
  "run_id": "pl_nEMO_whisper-large",
  "language": "Polish",
  "language_folder": "Polish",
  "iso": "pl",
  "family": "Indo-European",
  "dataset": "nEMO",
  "catalog_dataset": "nEMO",
  "catalog_entry": "nEMO.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.88,
  "test_accuracy": 0.87,
  "test_macro_precision": 0.87,
  "test_macro_recall": 0.87,
  "test_macro_f1": 0.87,
  "test_weighted_f1": 0.87,
  "test_f1_per_emotion": {
   "ANGER": 0.89,
   "FEAR": 0.85,
   "HAPPINESS": 0.89,
   "NEUTRAL": 0.85,
   "SADNESS": 0.88
  }
 },
 {
  "run_id": "pt_emoUERJ_hubert-base-ls960",
  "language": "Portuguese",
  "language_folder": "Portuguese",
  "iso": "pt",
  "family": "Indo-European",
  "dataset": "emoUERJ",
  "catalog_dataset": "emoUERJ",
  "catalog_entry": "emoUERJ.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.91,
  "test_accuracy": 0.74,
  "test_macro_precision": 0.72,
  "test_macro_recall": 0.73,
  "test_macro_f1": 0.72,
  "test_weighted_f1": 0.74,
  "test_f1_per_emotion": {
   "ANGER": 0.61,
   "HAPPINESS": 0.7,
   "NEUTRAL": 0.66,
   "SADNESS": 0.91
  }
 },
 {
  "run_id": "pt_emoUERJ_hubert-large-ls960-ft",
  "language": "Portuguese",
  "language_folder": "Portuguese",
  "iso": "pt",
  "family": "Indo-European",
  "dataset": "emoUERJ",
  "catalog_dataset": "emoUERJ",
  "catalog_entry": "emoUERJ.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.59,
  "test_accuracy": 0.51,
  "test_macro_precision": 0.6,
  "test_macro_recall": 0.6,
  "test_macro_f1": 0.5,
  "test_weighted_f1": 0.51,
  "test_f1_per_emotion": {
   "ANGER": 0.71,
   "HAPPINESS": 0.46,
   "NEUTRAL": 0.38,
   "SADNESS": 0.44
  }
 },
 {
  "run_id": "pt_emoUERJ_wav2vec2-base",
  "language": "Portuguese",
  "language_folder": "Portuguese",
  "iso": "pt",
  "family": "Indo-European",
  "dataset": "emoUERJ",
  "catalog_dataset": "emoUERJ",
  "catalog_entry": "emoUERJ.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.7,
  "test_accuracy": 0.63,
  "test_macro_precision": 0.62,
  "test_macro_recall": 0.56,
  "test_macro_f1": 0.56,
  "test_weighted_f1": 0.6,
  "test_f1_per_emotion": {
   "ANGER": 0.7,
   "HAPPINESS": 0.56,
   "NEUTRAL": 0.21,
   "SADNESS": 0.76
  }
 },
 {
  "run_id": "pt_emoUERJ_wav2vec2-large-960h",
  "language": "Portuguese",
  "language_folder": "Portuguese",
  "iso": "pt",
  "family": "Indo-European",
  "dataset": "emoUERJ",
  "catalog_dataset": "emoUERJ",
  "catalog_entry": "emoUERJ.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.41,
  "test_accuracy": 0.23,
  "test_macro_precision": 0.5,
  "test_macro_recall": 0.34,
  "test_macro_f1": 0.23,
  "test_weighted_f1": 0.24,
  "test_f1_per_emotion": {
   "ANGER": 0.29,
   "HAPPINESS": 0.15,
   "NEUTRAL": 0.22,
   "SADNESS": 0.27
  }
 },
 {
  "run_id": "pt_emoUERJ_wav2vec2-large-lv60",
  "language": "Portuguese",
  "language_folder": "Portuguese",
  "iso": "pt",
  "family": "Indo-European",
  "dataset": "emoUERJ",
  "catalog_dataset": "emoUERJ",
  "catalog_entry": "emoUERJ.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.2,
  "test_accuracy": 0.29,
  "test_macro_precision": 0.19,
  "test_macro_recall": 0.25,
  "test_macro_f1": 0.21,
  "test_weighted_f1": 0.25,
  "test_f1_per_emotion": {
   "ANGER": 0.34,
   "HAPPINESS": 0.0,
   "NEUTRAL": 0.11,
   "SADNESS": 0.39
  }
 },
 {
  "run_id": "pt_emoUERJ_wav2vec2-xls-r-300m",
  "language": "Portuguese",
  "language_folder": "Portuguese",
  "iso": "pt",
  "family": "Indo-European",
  "dataset": "emoUERJ",
  "catalog_dataset": "emoUERJ",
  "catalog_entry": "emoUERJ.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.42,
  "test_accuracy": 0.47,
  "test_macro_precision": 0.43,
  "test_macro_recall": 0.44,
  "test_macro_f1": 0.43,
  "test_weighted_f1": 0.47,
  "test_f1_per_emotion": {
   "ANGER": 0.45,
   "HAPPINESS": 0.33,
   "NEUTRAL": 0.32,
   "SADNESS": 0.61
  }
 },
 {
  "run_id": "pt_emoUERJ_wav2vec2-xls-r-1b",
  "language": "Portuguese",
  "language_folder": "Portuguese",
  "iso": "pt",
  "family": "Indo-European",
  "dataset": "emoUERJ",
  "catalog_dataset": "emoUERJ",
  "catalog_entry": "emoUERJ.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.49,
  "test_accuracy": 0.44,
  "test_macro_precision": 0.44,
  "test_macro_recall": 0.45,
  "test_macro_f1": 0.43,
  "test_weighted_f1": 0.43,
  "test_f1_per_emotion": {
   "ANGER": 0.29,
   "HAPPINESS": 0.48,
   "NEUTRAL": 0.49,
   "SADNESS": 0.48
  }
 },
 {
  "run_id": "pt_emoUERJ_wavlm-base-plus",
  "language": "Portuguese",
  "language_folder": "Portuguese",
  "iso": "pt",
  "family": "Indo-European",
  "dataset": "emoUERJ",
  "catalog_dataset": "emoUERJ",
  "catalog_entry": "emoUERJ.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.88,
  "test_accuracy": 0.74,
  "test_macro_precision": 0.72,
  "test_macro_recall": 0.72,
  "test_macro_f1": 0.72,
  "test_weighted_f1": 0.74,
  "test_f1_per_emotion": {
   "ANGER": 0.62,
   "HAPPINESS": 0.74,
   "NEUTRAL": 0.62,
   "SADNESS": 0.89
  }
 },
 {
  "run_id": "pt_emoUERJ_wavlm-large",
  "language": "Portuguese",
  "language_folder": "Portuguese",
  "iso": "pt",
  "family": "Indo-European",
  "dataset": "emoUERJ",
  "catalog_dataset": "emoUERJ",
  "catalog_entry": "emoUERJ.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.88,
  "test_accuracy": 0.76,
  "test_macro_precision": 0.77,
  "test_macro_recall": 0.81,
  "test_macro_f1": 0.75,
  "test_weighted_f1": 0.77,
  "test_f1_per_emotion": {
   "ANGER": 0.85,
   "HAPPINESS": 0.75,
   "NEUTRAL": 0.61,
   "SADNESS": 0.76
  }
 },
 {
  "run_id": "pt_emoUERJ_whisper-small",
  "language": "Portuguese",
  "language_folder": "Portuguese",
  "iso": "pt",
  "family": "Indo-European",
  "dataset": "emoUERJ",
  "catalog_dataset": "emoUERJ",
  "catalog_entry": "emoUERJ.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.74,
  "test_accuracy": 0.91,
  "test_macro_precision": 0.92,
  "test_macro_recall": 0.93,
  "test_macro_f1": 0.93,
  "test_weighted_f1": 0.91,
  "test_f1_per_emotion": {
   "ANGER": 0.89,
   "HAPPINESS": 0.89,
   "NEUTRAL": 0.99,
   "SADNESS": 0.94
  }
 },
 {
  "run_id": "pt_emoUERJ_whisper-large",
  "language": "Portuguese",
  "language_folder": "Portuguese",
  "iso": "pt",
  "family": "Indo-European",
  "dataset": "emoUERJ",
  "catalog_dataset": "emoUERJ",
  "catalog_entry": "emoUERJ.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.73,
  "test_accuracy": 0.88,
  "test_macro_precision": 0.87,
  "test_macro_recall": 0.89,
  "test_macro_f1": 0.87,
  "test_weighted_f1": 0.88,
  "test_f1_per_emotion": {
   "ANGER": 0.88,
   "HAPPINESS": 0.87,
   "NEUTRAL": 0.82,
   "SADNESS": 0.94
  }
 },
 {
  "run_id": "qu_Quechua-Collao-Corpus_hubert-base-ls960",
  "language": "Quechua",
  "language_folder": "Quechua",
  "iso": "qu",
  "family": "Quechuan",
  "dataset": "Quechua-Collao-Corpus",
  "catalog_dataset": "Quechua Collao Corpus",
  "catalog_entry": "Quechua-Collao.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.81,
  "test_accuracy": 0.8,
  "test_macro_precision": 0.81,
  "test_macro_recall": 0.79,
  "test_macro_f1": 0.79,
  "test_weighted_f1": 0.8,
  "test_f1_per_emotion": {
   "ANGER": 0.84,
   "FEAR": 0.75,
   "HAPPINESS": 0.83,
   "NEUTRAL": 0.83,
   "SADNESS": 0.72
  }
 },
 {
  "run_id": "qu_Quechua-Collao-Corpus_hubert-large-ls960-ft",
  "language": "Quechua",
  "language_folder": "Quechua",
  "iso": "qu",
  "family": "Quechuan",
  "dataset": "Quechua-Collao-Corpus",
  "catalog_dataset": "Quechua Collao Corpus",
  "catalog_entry": "Quechua-Collao.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.5,
  "test_accuracy": 0.5,
  "test_macro_precision": 0.51,
  "test_macro_recall": 0.5,
  "test_macro_f1": 0.47,
  "test_weighted_f1": 0.47,
  "test_f1_per_emotion": {
   "ANGER": 0.62,
   "FEAR": 0.33,
   "HAPPINESS": 0.56,
   "NEUTRAL": 0.55,
   "SADNESS": 0.3
  }
 },
 {
  "run_id": "qu_Quechua-Collao-Corpus_wav2vec2-base",
  "language": "Quechua",
  "language_folder": "Quechua",
  "iso": "qu",
  "family": "Quechuan",
  "dataset": "Quechua-Collao-Corpus",
  "catalog_dataset": "Quechua Collao Corpus",
  "catalog_entry": "Quechua-Collao.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.78,
  "test_accuracy": 0.76,
  "test_macro_precision": 0.78,
  "test_macro_recall": 0.76,
  "test_macro_f1": 0.76,
  "test_weighted_f1": 0.76,
  "test_f1_per_emotion": {
   "ANGER": 0.78,
   "FEAR": 0.8,
   "HAPPINESS": 0.7,
   "NEUTRAL": 0.78,
   "SADNESS": 0.75
  }
 },
 {
  "run_id": "qu_Quechua-Collao-Corpus_wav2vec2-large-960h",
  "language": "Quechua",
  "language_folder": "Quechua",
  "iso": "qu",
  "family": "Quechuan",
  "dataset": "Quechua-Collao-Corpus",
  "catalog_dataset": "Quechua Collao Corpus",
  "catalog_entry": "Quechua-Collao.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.39,
  "test_accuracy": 0.36,
  "test_macro_precision": 0.39,
  "test_macro_recall": 0.36,
  "test_macro_f1": 0.33,
  "test_weighted_f1": 0.33,
  "test_f1_per_emotion": {
   "ANGER": 0.52,
   "FEAR": 0.17,
   "HAPPINESS": 0.4,
   "NEUTRAL": 0.32,
   "SADNESS": 0.26
  }
 },
 {
  "run_id": "qu_Quechua-Collao-Corpus_wav2vec2-large-lv60",
  "language": "Quechua",
  "language_folder": "Quechua",
  "iso": "qu",
  "family": "Quechuan",
  "dataset": "Quechua-Collao-Corpus",
  "catalog_dataset": "Quechua Collao Corpus",
  "catalog_entry": "Quechua-Collao.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.22,
  "test_accuracy": 0.22,
  "test_macro_precision": 0.23,
  "test_macro_recall": 0.22,
  "test_macro_f1": 0.18,
  "test_weighted_f1": 0.18,
  "test_f1_per_emotion": {
   "ANGER": 0.07,
   "FEAR": 0.18,
   "HAPPINESS": 0.33,
   "NEUTRAL": 0.12,
   "SADNESS": 0.18
  }
 },
 {
  "run_id": "qu_Quechua-Collao-Corpus_wav2vec2-xls-r-300m",
  "language": "Quechua",
  "language_folder": "Quechua",
  "iso": "qu",
  "family": "Quechuan",
  "dataset": "Quechua-Collao-Corpus",
  "catalog_dataset": "Quechua Collao Corpus",
  "catalog_entry": "Quechua-Collao.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.43,
  "test_accuracy": 0.43,
  "test_macro_precision": 0.44,
  "test_macro_recall": 0.43,
  "test_macro_f1": 0.43,
  "test_weighted_f1": 0.43,
  "test_f1_per_emotion": {
   "ANGER": 0.46,
   "FEAR": 0.4,
   "HAPPINESS": 0.46,
   "NEUTRAL": 0.46,
   "SADNESS": 0.35
  }
 },
 {
  "run_id": "qu_Quechua-Collao-Corpus_wav2vec2-xls-r-1b",
  "language": "Quechua",
  "language_folder": "Quechua",
  "iso": "qu",
  "family": "Quechuan",
  "dataset": "Quechua-Collao-Corpus",
  "catalog_dataset": "Quechua Collao Corpus",
  "catalog_entry": "Quechua-Collao.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.28,
  "test_accuracy": 0.3,
  "test_macro_precision": 0.35,
  "test_macro_recall": 0.3,
  "test_macro_f1": 0.23,
  "test_weighted_f1": 0.23,
  "test_f1_per_emotion": {
   "ANGER": 0.32,
   "FEAR": 0.02,
   "HAPPINESS": 0.4,
   "NEUTRAL": 0.39,
   "SADNESS": 0.02
  }
 },
 {
  "run_id": "qu_Quechua-Collao-Corpus_wavlm-base-plus",
  "language": "Quechua",
  "language_folder": "Quechua",
  "iso": "qu",
  "family": "Quechuan",
  "dataset": "Quechua-Collao-Corpus",
  "catalog_dataset": "Quechua Collao Corpus",
  "catalog_entry": "Quechua-Collao.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.75,
  "test_accuracy": 0.71,
  "test_macro_precision": 0.71,
  "test_macro_recall": 0.7,
  "test_macro_f1": 0.7,
  "test_weighted_f1": 0.71,
  "test_f1_per_emotion": {
   "ANGER": 0.75,
   "FEAR": 0.66,
   "HAPPINESS": 0.75,
   "NEUTRAL": 0.74,
   "SADNESS": 0.61
  }
 },
 {
  "run_id": "qu_Quechua-Collao-Corpus_wavlm-large",
  "language": "Quechua",
  "language_folder": "Quechua",
  "iso": "qu",
  "family": "Quechuan",
  "dataset": "Quechua-Collao-Corpus",
  "catalog_dataset": "Quechua Collao Corpus",
  "catalog_entry": "Quechua-Collao.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.76,
  "test_accuracy": 0.73,
  "test_macro_precision": 0.77,
  "test_macro_recall": 0.73,
  "test_macro_f1": 0.73,
  "test_weighted_f1": 0.73,
  "test_f1_per_emotion": {
   "ANGER": 0.75,
   "FEAR": 0.76,
   "HAPPINESS": 0.8,
   "NEUTRAL": 0.73,
   "SADNESS": 0.6
  }
 },
 {
  "run_id": "qu_Quechua-Collao-Corpus_whisper-small",
  "language": "Quechua",
  "language_folder": "Quechua",
  "iso": "qu",
  "family": "Quechuan",
  "dataset": "Quechua-Collao-Corpus",
  "catalog_dataset": "Quechua Collao Corpus",
  "catalog_entry": "Quechua-Collao.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.82,
  "test_accuracy": 0.82,
  "test_macro_precision": 0.82,
  "test_macro_recall": 0.82,
  "test_macro_f1": 0.81,
  "test_weighted_f1": 0.82,
  "test_f1_per_emotion": {
   "ANGER": 0.83,
   "FEAR": 0.8,
   "HAPPINESS": 0.83,
   "NEUTRAL": 0.84,
   "SADNESS": 0.77
  }
 },
 {
  "run_id": "qu_Quechua-Collao-Corpus_whisper-large",
  "language": "Quechua",
  "language_folder": "Quechua",
  "iso": "qu",
  "family": "Quechuan",
  "dataset": "Quechua-Collao-Corpus",
  "catalog_dataset": "Quechua Collao Corpus",
  "catalog_entry": "Quechua-Collao.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.84,
  "test_accuracy": 0.83,
  "test_macro_precision": 0.84,
  "test_macro_recall": 0.84,
  "test_macro_f1": 0.83,
  "test_weighted_f1": 0.83,
  "test_f1_per_emotion": {
   "ANGER": 0.85,
   "FEAR": 0.82,
   "HAPPINESS": 0.84,
   "NEUTRAL": 0.87,
   "SADNESS": 0.79
  }
 },
 {
  "run_id": "ru_RESD_hubert-base-ls960",
  "language": "Russian",
  "language_folder": "Russian",
  "iso": "ru",
  "family": "Indo-European",
  "dataset": "RESD",
  "catalog_dataset": "RESD",
  "catalog_entry": "RESD.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.48,
  "test_accuracy": 0.51,
  "test_macro_precision": 0.52,
  "test_macro_recall": 0.52,
  "test_macro_f1": 0.51,
  "test_weighted_f1": 0.51,
  "test_f1_per_emotion": {
   "ANGER": 0.67,
   "FEAR": 0.51,
   "HAPPINESS": 0.44,
   "NEUTRAL": 0.51,
   "SADNESS": 0.42
  }
 },
 {
  "run_id": "ru_RESD_hubert-large-ls960-ft",
  "language": "Russian",
  "language_folder": "Russian",
  "iso": "ru",
  "family": "Indo-European",
  "dataset": "RESD",
  "catalog_dataset": "RESD",
  "catalog_entry": "RESD.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.26,
  "test_accuracy": 0.22,
  "test_macro_precision": 0.22,
  "test_macro_recall": 0.24,
  "test_macro_f1": 0.19,
  "test_weighted_f1": 0.19,
  "test_f1_per_emotion": {
   "ANGER": 0.28,
   "FEAR": 0.23,
   "HAPPINESS": 0.18,
   "NEUTRAL": 0.25,
   "SADNESS": 0.0
  }
 },
 {
  "run_id": "ru_RESD_wav2vec2-base",
  "language": "Russian",
  "language_folder": "Russian",
  "iso": "ru",
  "family": "Indo-European",
  "dataset": "RESD",
  "catalog_dataset": "RESD",
  "catalog_entry": "RESD.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.4,
  "test_accuracy": 0.41,
  "test_macro_precision": 0.42,
  "test_macro_recall": 0.41,
  "test_macro_f1": 0.4,
  "test_weighted_f1": 0.41,
  "test_f1_per_emotion": {
   "ANGER": 0.56,
   "FEAR": 0.45,
   "HAPPINESS": 0.39,
   "NEUTRAL": 0.31,
   "SADNESS": 0.32
  }
 },
 {
  "run_id": "ru_RESD_wav2vec2-large-960h",
  "language": "Russian",
  "language_folder": "Russian",
  "iso": "ru",
  "family": "Indo-European",
  "dataset": "RESD",
  "catalog_dataset": "RESD",
  "catalog_entry": "RESD.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.23,
  "test_accuracy": 0.24,
  "test_macro_precision": 0.41,
  "test_macro_recall": 0.24,
  "test_macro_f1": 0.21,
  "test_weighted_f1": 0.22,
  "test_f1_per_emotion": {
   "ANGER": 0.26,
   "FEAR": 0.2,
   "HAPPINESS": 0.24,
   "NEUTRAL": 0.32,
   "SADNESS": 0.02
  }
 },
 {
  "run_id": "ru_RESD_wav2vec2-large-lv60",
  "language": "Russian",
  "language_folder": "Russian",
  "iso": "ru",
  "family": "Indo-European",
  "dataset": "RESD",
  "catalog_dataset": "RESD",
  "catalog_entry": "RESD.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.2,
  "test_accuracy": 0.2,
  "test_macro_precision": 0.17,
  "test_macro_recall": 0.2,
  "test_macro_f1": 0.17,
  "test_weighted_f1": 0.18,
  "test_f1_per_emotion": {
   "ANGER": 0.24,
   "FEAR": 0.17,
   "HAPPINESS": 0.24,
   "NEUTRAL": 0.2,
   "SADNESS": 0.0
  }
 },
 {
  "run_id": "ru_RESD_wav2vec2-xls-r-300m",
  "language": "Russian",
  "language_folder": "Russian",
  "iso": "ru",
  "family": "Indo-European",
  "dataset": "RESD",
  "catalog_dataset": "RESD",
  "catalog_entry": "RESD.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.22,
  "test_accuracy": 0.21,
  "test_macro_precision": 0.18,
  "test_macro_recall": 0.21,
  "test_macro_f1": 0.18,
  "test_weighted_f1": 0.19,
  "test_f1_per_emotion": {
   "ANGER": 0.23,
   "FEAR": 0.21,
   "HAPPINESS": 0.24,
   "NEUTRAL": 0.23,
   "SADNESS": 0.0
  }
 },
 {
  "run_id": "ru_RESD_wav2vec2-xls-r-1b",
  "language": "Russian",
  "language_folder": "Russian",
  "iso": "ru",
  "family": "Indo-European",
  "dataset": "RESD",
  "catalog_dataset": "RESD",
  "catalog_entry": "RESD.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.29,
  "test_accuracy": 0.26,
  "test_macro_precision": 0.26,
  "test_macro_recall": 0.27,
  "test_macro_f1": 0.26,
  "test_weighted_f1": 0.25,
  "test_f1_per_emotion": {
   "ANGER": 0.37,
   "FEAR": 0.29,
   "HAPPINESS": 0.13,
   "NEUTRAL": 0.27,
   "SADNESS": 0.22
  }
 },
 {
  "run_id": "ru_RESD_wavlm-base-plus",
  "language": "Russian",
  "language_folder": "Russian",
  "iso": "ru",
  "family": "Indo-European",
  "dataset": "RESD",
  "catalog_dataset": "RESD",
  "catalog_entry": "RESD.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.46,
  "test_accuracy": 0.43,
  "test_macro_precision": 0.42,
  "test_macro_recall": 0.43,
  "test_macro_f1": 0.41,
  "test_weighted_f1": 0.41,
  "test_f1_per_emotion": {
   "ANGER": 0.59,
   "FEAR": 0.5,
   "HAPPINESS": 0.34,
   "NEUTRAL": 0.37,
   "SADNESS": 0.26
  }
 },
 {
  "run_id": "ru_RESD_wavlm-large",
  "language": "Russian",
  "language_folder": "Russian",
  "iso": "ru",
  "family": "Indo-European",
  "dataset": "RESD",
  "catalog_dataset": "RESD",
  "catalog_entry": "RESD.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.43,
  "test_accuracy": 0.4,
  "test_macro_precision": 0.48,
  "test_macro_recall": 0.44,
  "test_macro_f1": 0.38,
  "test_weighted_f1": 0.36,
  "test_f1_per_emotion": {
   "ANGER": 0.52,
   "FEAR": 0.31,
   "HAPPINESS": 0.22,
   "NEUTRAL": 0.55,
   "SADNESS": 0.3
  }
 },
 {
  "run_id": "ru_RESD_whisper-small",
  "language": "Russian",
  "language_folder": "Russian",
  "iso": "ru",
  "family": "Indo-European",
  "dataset": "RESD",
  "catalog_dataset": "RESD",
  "catalog_entry": "RESD.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.49,
  "test_accuracy": 0.45,
  "test_macro_precision": 0.45,
  "test_macro_recall": 0.46,
  "test_macro_f1": 0.45,
  "test_weighted_f1": 0.45,
  "test_f1_per_emotion": {
   "ANGER": 0.6,
   "FEAR": 0.38,
   "HAPPINESS": 0.41,
   "NEUTRAL": 0.55,
   "SADNESS": 0.3
  }
 },
 {
  "run_id": "ru_RESD_whisper-large",
  "language": "Russian",
  "language_folder": "Russian",
  "iso": "ru",
  "family": "Indo-European",
  "dataset": "RESD",
  "catalog_dataset": "RESD",
  "catalog_entry": "RESD.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.48,
  "test_accuracy": 0.46,
  "test_macro_precision": 0.45,
  "test_macro_recall": 0.45,
  "test_macro_f1": 0.43,
  "test_weighted_f1": 0.43,
  "test_f1_per_emotion": {
   "ANGER": 0.56,
   "FEAR": 0.41,
   "HAPPINESS": 0.43,
   "NEUTRAL": 0.59,
   "SADNESS": 0.15
  }
 },
 {
  "run_id": "es_MESD_hubert-base-ls960",
  "language": "Spanish",
  "language_folder": "Spanish",
  "iso": "es",
  "family": "Indo-European",
  "dataset": "MESD",
  "catalog_dataset": "MESD",
  "catalog_entry": "MESD.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.63,
  "test_accuracy": 0.58,
  "test_macro_precision": 0.57,
  "test_macro_recall": 0.57,
  "test_macro_f1": 0.56,
  "test_weighted_f1": 0.58,
  "test_f1_per_emotion": {
   "ANGER": 0.48,
   "FEAR": 0.6,
   "HAPPINESS": 0.62,
   "NEUTRAL": 0.65,
   "SADNESS": 0.45
  }
 },
 {
  "run_id": "es_MESD_hubert-large-ls960-ft",
  "language": "Spanish",
  "language_folder": "Spanish",
  "iso": "es",
  "family": "Indo-European",
  "dataset": "MESD",
  "catalog_dataset": "MESD",
  "catalog_entry": "MESD.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.33,
  "test_accuracy": 0.26,
  "test_macro_precision": 0.3,
  "test_macro_recall": 0.28,
  "test_macro_f1": 0.23,
  "test_weighted_f1": 0.24,
  "test_f1_per_emotion": {
   "ANGER": 0.15,
   "FEAR": 0.12,
   "HAPPINESS": 0.3,
   "NEUTRAL": 0.4,
   "SADNESS": 0.19
  }
 },
 {
  "run_id": "es_MESD_wav2vec2-base",
  "language": "Spanish",
  "language_folder": "Spanish",
  "iso": "es",
  "family": "Indo-European",
  "dataset": "MESD",
  "catalog_dataset": "MESD",
  "catalog_entry": "MESD.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.38,
  "test_accuracy": 0.27,
  "test_macro_precision": 0.37,
  "test_macro_recall": 0.29,
  "test_macro_f1": 0.26,
  "test_weighted_f1": 0.26,
  "test_f1_per_emotion": {
   "ANGER": 0.35,
   "FEAR": 0.15,
   "HAPPINESS": 0.28,
   "NEUTRAL": 0.29,
   "SADNESS": 0.23
  }
 },
 {
  "run_id": "es_MESD_wav2vec2-large-960h",
  "language": "Spanish",
  "language_folder": "Spanish",
  "iso": "es",
  "family": "Indo-European",
  "dataset": "MESD",
  "catalog_dataset": "MESD",
  "catalog_entry": "MESD.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.32,
  "test_accuracy": 0.26,
  "test_macro_precision": 0.31,
  "test_macro_recall": 0.27,
  "test_macro_f1": 0.23,
  "test_weighted_f1": 0.24,
  "test_f1_per_emotion": {
   "ANGER": 0.37,
   "FEAR": 0.09,
   "HAPPINESS": 0.26,
   "NEUTRAL": 0.31,
   "SADNESS": 0.13
  }
 },
 {
  "run_id": "es_MESD_wav2vec2-large-lv60",
  "language": "Spanish",
  "language_folder": "Spanish",
  "iso": "es",
  "family": "Indo-European",
  "dataset": "MESD",
  "catalog_dataset": "MESD",
  "catalog_entry": "MESD.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.15,
  "test_accuracy": 0.13,
  "test_macro_precision": 0.1,
  "test_macro_recall": 0.2,
  "test_macro_f1": 0.1,
  "test_weighted_f1": 0.09,
  "test_f1_per_emotion": {
   "ANGER": 0.2,
   "FEAR": 0.14,
   "HAPPINESS": 0.0,
   "NEUTRAL": 0.0,
   "SADNESS": 0.17
  }
 },
 {
  "run_id": "es_MESD_wav2vec2-xls-r-300m",
  "language": "Spanish",
  "language_folder": "Spanish",
  "iso": "es",
  "family": "Indo-European",
  "dataset": "MESD",
  "catalog_dataset": "MESD",
  "catalog_entry": "MESD.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.29,
  "test_accuracy": 0.24,
  "test_macro_precision": 0.12,
  "test_macro_recall": 0.22,
  "test_macro_f1": 0.14,
  "test_weighted_f1": 0.15,
  "test_f1_per_emotion": {
   "ANGER": 0.13,
   "FEAR": 0.0,
   "HAPPINESS": 0.4,
   "NEUTRAL": 0.0,
   "SADNESS": 0.15
  }
 },
 {
  "run_id": "es_MESD_wav2vec2-xls-r-1b",
  "language": "Spanish",
  "language_folder": "Spanish",
  "iso": "es",
  "family": "Indo-European",
  "dataset": "MESD",
  "catalog_dataset": "MESD",
  "catalog_entry": "MESD.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.27,
  "test_accuracy": 0.24,
  "test_macro_precision": 0.21,
  "test_macro_recall": 0.26,
  "test_macro_f1": 0.22,
  "test_weighted_f1": 0.21,
  "test_f1_per_emotion": {
   "ANGER": 0.26,
   "FEAR": 0.0,
   "HAPPINESS": 0.23,
   "NEUTRAL": 0.3,
   "SADNESS": 0.31
  }
 },
 {
  "run_id": "es_MESD_wavlm-base-plus",
  "language": "Spanish",
  "language_folder": "Spanish",
  "iso": "es",
  "family": "Indo-European",
  "dataset": "MESD",
  "catalog_dataset": "MESD",
  "catalog_entry": "MESD.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.4,
  "test_accuracy": 0.28,
  "test_macro_precision": 0.33,
  "test_macro_recall": 0.29,
  "test_macro_f1": 0.27,
  "test_weighted_f1": 0.28,
  "test_f1_per_emotion": {
   "ANGER": 0.32,
   "FEAR": 0.05,
   "HAPPINESS": 0.44,
   "NEUTRAL": 0.36,
   "SADNESS": 0.2
  }
 },
 {
  "run_id": "es_MESD_wavlm-large",
  "language": "Spanish",
  "language_folder": "Spanish",
  "iso": "es",
  "family": "Indo-European",
  "dataset": "MESD",
  "catalog_dataset": "MESD",
  "catalog_entry": "MESD.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.51,
  "test_accuracy": 0.41,
  "test_macro_precision": 0.41,
  "test_macro_recall": 0.41,
  "test_macro_f1": 0.38,
  "test_weighted_f1": 0.38,
  "test_f1_per_emotion": {
   "ANGER": 0.43,
   "FEAR": 0.19,
   "HAPPINESS": 0.44,
   "NEUTRAL": 0.51,
   "SADNESS": 0.32
  }
 },
 {
  "run_id": "es_MESD_whisper-small",
  "language": "Spanish",
  "language_folder": "Spanish",
  "iso": "es",
  "family": "Indo-European",
  "dataset": "MESD",
  "catalog_dataset": "MESD",
  "catalog_entry": "MESD.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.67,
  "test_accuracy": 0.68,
  "test_macro_precision": 0.7,
  "test_macro_recall": 0.7,
  "test_macro_f1": 0.68,
  "test_weighted_f1": 0.67,
  "test_f1_per_emotion": {
   "ANGER": 0.58,
   "FEAR": 0.64,
   "HAPPINESS": 0.59,
   "NEUTRAL": 0.84,
   "SADNESS": 0.77
  }
 },
 {
  "run_id": "es_MESD_whisper-large",
  "language": "Spanish",
  "language_folder": "Spanish",
  "iso": "es",
  "family": "Indo-European",
  "dataset": "MESD",
  "catalog_dataset": "MESD",
  "catalog_entry": "MESD.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.69,
  "test_accuracy": 0.67,
  "test_macro_precision": 0.67,
  "test_macro_recall": 0.69,
  "test_macro_f1": 0.67,
  "test_weighted_f1": 0.66,
  "test_f1_per_emotion": {
   "ANGER": 0.66,
   "FEAR": 0.55,
   "HAPPINESS": 0.72,
   "NEUTRAL": 0.78,
   "SADNESS": 0.66
  }
 },
 {
  "run_id": "sw_Swahili-Dataset_hubert-base-ls960",
  "language": "Swahili",
  "language_folder": "Swahili",
  "iso": "sw",
  "family": "Niger-Congo",
  "dataset": "Swahili-Dataset",
  "catalog_dataset": "Kenyan Swahili SER",
  "catalog_entry": "Kenyan_Swahili.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.75,
  "test_accuracy": 0.81,
  "test_macro_precision": 0.79,
  "test_macro_recall": 0.77,
  "test_macro_f1": 0.78,
  "test_weighted_f1": 0.81,
  "test_f1_per_emotion": {
   "ANGER": 0.86,
   "HAPPINESS": 0.81,
   "SADNESS": 0.67
  }
 },
 {
  "run_id": "sw_Swahili-Dataset_hubert-large-ls960-ft",
  "language": "Swahili",
  "language_folder": "Swahili",
  "iso": "sw",
  "family": "Niger-Congo",
  "dataset": "Swahili-Dataset",
  "catalog_dataset": "Kenyan Swahili SER",
  "catalog_entry": "Kenyan_Swahili.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.61,
  "test_accuracy": 0.6,
  "test_macro_precision": 0.63,
  "test_macro_recall": 0.6,
  "test_macro_f1": 0.59,
  "test_weighted_f1": 0.59,
  "test_f1_per_emotion": {
   "ANGER": 0.62,
   "HAPPINESS": 0.65,
   "SADNESS": 0.48
  }
 },
 {
  "run_id": "sw_Swahili-Dataset_wav2vec2-base",
  "language": "Swahili",
  "language_folder": "Swahili",
  "iso": "sw",
  "family": "Niger-Congo",
  "dataset": "Swahili-Dataset",
  "catalog_dataset": "Kenyan Swahili SER",
  "catalog_entry": "Kenyan_Swahili.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.65,
  "test_accuracy": 0.72,
  "test_macro_precision": 0.71,
  "test_macro_recall": 0.69,
  "test_macro_f1": 0.69,
  "test_weighted_f1": 0.71,
  "test_f1_per_emotion": {
   "ANGER": 0.8,
   "HAPPINESS": 0.61,
   "SADNESS": 0.66
  }
 },
 {
  "run_id": "sw_Swahili-Dataset_wav2vec2-large-960h",
  "language": "Swahili",
  "language_folder": "Swahili",
  "iso": "sw",
  "family": "Niger-Congo",
  "dataset": "Swahili-Dataset",
  "catalog_dataset": "Kenyan Swahili SER",
  "catalog_entry": "Kenyan_Swahili.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.37,
  "test_accuracy": 0.44,
  "test_macro_precision": 0.45,
  "test_macro_recall": 0.44,
  "test_macro_f1": 0.43,
  "test_weighted_f1": 0.44,
  "test_f1_per_emotion": {
   "ANGER": 0.42,
   "HAPPINESS": 0.5,
   "SADNESS": 0.39
  }
 },
 {
  "run_id": "sw_Swahili-Dataset_wav2vec2-large-lv60",
  "language": "Swahili",
  "language_folder": "Swahili",
  "iso": "sw",
  "family": "Niger-Congo",
  "dataset": "Swahili-Dataset",
  "catalog_dataset": "Kenyan Swahili SER",
  "catalog_entry": "Kenyan_Swahili.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.41,
  "test_accuracy": 0.35,
  "test_macro_precision": 0.46,
  "test_macro_recall": 0.38,
  "test_macro_f1": 0.26,
  "test_weighted_f1": 0.24,
  "test_f1_per_emotion": {
   "ANGER": 0.48,
   "HAPPINESS": 0.04,
   "SADNESS": 0.27
  }
 },
 {
  "run_id": "sw_Swahili-Dataset_wav2vec2-xls-r-300m",
  "language": "Swahili",
  "language_folder": "Swahili",
  "iso": "sw",
  "family": "Niger-Congo",
  "dataset": "Swahili-Dataset",
  "catalog_dataset": "Kenyan Swahili SER",
  "catalog_entry": "Kenyan_Swahili.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.35,
  "test_accuracy": 0.33,
  "test_macro_precision": 0.34,
  "test_macro_recall": 0.34,
  "test_macro_f1": 0.33,
  "test_weighted_f1": 0.33,
  "test_f1_per_emotion": {
   "ANGER": 0.34,
   "HAPPINESS": 0.33,
   "SADNESS": 0.32
  }
 },
 {
  "run_id": "sw_Swahili-Dataset_wav2vec2-xls-r-1b",
  "language": "Swahili",
  "language_folder": "Swahili",
  "iso": "sw",
  "family": "Niger-Congo",
  "dataset": "Swahili-Dataset",
  "catalog_dataset": "Kenyan Swahili SER",
  "catalog_entry": "Kenyan_Swahili.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.35,
  "test_accuracy": 0.45,
  "test_macro_precision": 0.44,
  "test_macro_recall": 0.42,
  "test_macro_f1": 0.41,
  "test_weighted_f1": 0.42,
  "test_f1_per_emotion": {
   "ANGER": 0.29,
   "HAPPINESS": 0.55,
   "SADNESS": 0.38
  }
 },
 {
  "run_id": "sw_Swahili-Dataset_wavlm-base-plus",
  "language": "Swahili",
  "language_folder": "Swahili",
  "iso": "sw",
  "family": "Niger-Congo",
  "dataset": "Swahili-Dataset",
  "catalog_dataset": "Kenyan Swahili SER",
  "catalog_entry": "Kenyan_Swahili.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.8,
  "test_accuracy": 0.83,
  "test_macro_precision": 0.82,
  "test_macro_recall": 0.79,
  "test_macro_f1": 0.8,
  "test_weighted_f1": 0.83,
  "test_f1_per_emotion": {
   "ANGER": 0.89,
   "HAPPINESS": 0.86,
   "SADNESS": 0.64
  }
 },
 {
  "run_id": "sw_Swahili-Dataset_wavlm-large",
  "language": "Swahili",
  "language_folder": "Swahili",
  "iso": "sw",
  "family": "Niger-Congo",
  "dataset": "Swahili-Dataset",
  "catalog_dataset": "Kenyan Swahili SER",
  "catalog_entry": "Kenyan_Swahili.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.78,
  "test_accuracy": 0.74,
  "test_macro_precision": 0.74,
  "test_macro_recall": 0.74,
  "test_macro_f1": 0.74,
  "test_weighted_f1": 0.74,
  "test_f1_per_emotion": {
   "ANGER": 0.7,
   "HAPPINESS": 0.77,
   "SADNESS": 0.75
  }
 },
 {
  "run_id": "sw_Swahili-Dataset_whisper-small",
  "language": "Swahili",
  "language_folder": "Swahili",
  "iso": "sw",
  "family": "Niger-Congo",
  "dataset": "Swahili-Dataset",
  "catalog_dataset": "Kenyan Swahili SER",
  "catalog_entry": "Kenyan_Swahili.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.71,
  "test_accuracy": 0.69,
  "test_macro_precision": 0.71,
  "test_macro_recall": 0.69,
  "test_macro_f1": 0.69,
  "test_weighted_f1": 0.69,
  "test_f1_per_emotion": {
   "ANGER": 0.63,
   "HAPPINESS": 0.71,
   "SADNESS": 0.71
  }
 },
 {
  "run_id": "sw_Swahili-Dataset_whisper-large",
  "language": "Swahili",
  "language_folder": "Swahili",
  "iso": "sw",
  "family": "Niger-Congo",
  "dataset": "Swahili-Dataset",
  "catalog_dataset": "Kenyan Swahili SER",
  "catalog_entry": "Kenyan_Swahili.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.78,
  "test_accuracy": 0.8,
  "test_macro_precision": 0.81,
  "test_macro_recall": 0.79,
  "test_macro_f1": 0.79,
  "test_weighted_f1": 0.79,
  "test_f1_per_emotion": {
   "ANGER": 0.73,
   "HAPPINESS": 0.82,
   "SADNESS": 0.82
  }
 },
 {
  "run_id": "ta_EmoTa_hubert-base-ls960",
  "language": "Tamil",
  "language_folder": "Tamil",
  "iso": "ta",
  "family": "Dravidian",
  "dataset": "EmoTa",
  "catalog_dataset": "EmoTa",
  "catalog_entry": "EmoTa.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.42,
  "test_accuracy": 0.38,
  "test_macro_precision": 0.41,
  "test_macro_recall": 0.39,
  "test_macro_f1": 0.38,
  "test_weighted_f1": 0.38,
  "test_f1_per_emotion": {
   "ANGER": 0.45,
   "FEAR": 0.41,
   "HAPPINESS": 0.37,
   "NEUTRAL": 0.37,
   "SADNESS": 0.31
  }
 },
 {
  "run_id": "ta_EmoTa_hubert-large-ls960-ft",
  "language": "Tamil",
  "language_folder": "Tamil",
  "iso": "ta",
  "family": "Dravidian",
  "dataset": "EmoTa",
  "catalog_dataset": "EmoTa",
  "catalog_entry": "EmoTa.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.26,
  "test_accuracy": 0.25,
  "test_macro_precision": 0.24,
  "test_macro_recall": 0.21,
  "test_macro_f1": 0.18,
  "test_weighted_f1": 0.22,
  "test_f1_per_emotion": {
   "ANGER": 0.33,
   "FEAR": 0.0,
   "HAPPINESS": 0.13,
   "NEUTRAL": 0.28,
   "SADNESS": 0.18
  }
 },
 {
  "run_id": "ta_EmoTa_wav2vec2-base",
  "language": "Tamil",
  "language_folder": "Tamil",
  "iso": "ta",
  "family": "Dravidian",
  "dataset": "EmoTa",
  "catalog_dataset": "EmoTa",
  "catalog_entry": "EmoTa.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.39,
  "test_accuracy": 0.38,
  "test_macro_precision": 0.41,
  "test_macro_recall": 0.37,
  "test_macro_f1": 0.37,
  "test_weighted_f1": 0.37,
  "test_f1_per_emotion": {
   "ANGER": 0.4,
   "FEAR": 0.36,
   "HAPPINESS": 0.35,
   "NEUTRAL": 0.4,
   "SADNESS": 0.36
  }
 },
 {
  "run_id": "ta_EmoTa_wav2vec2-large-960h",
  "language": "Tamil",
  "language_folder": "Tamil",
  "iso": "ta",
  "family": "Dravidian",
  "dataset": "EmoTa",
  "catalog_dataset": "EmoTa",
  "catalog_entry": "EmoTa.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.3,
  "test_accuracy": 0.24,
  "test_macro_precision": 0.24,
  "test_macro_recall": 0.2,
  "test_macro_f1": 0.15,
  "test_weighted_f1": 0.18,
  "test_f1_per_emotion": {
   "ANGER": 0.35,
   "FEAR": 0.0,
   "HAPPINESS": 0.07,
   "NEUTRAL": 0.22,
   "SADNESS": 0.13
  }
 },
 {
  "run_id": "ta_EmoTa_wav2vec2-large-lv60",
  "language": "Tamil",
  "language_folder": "Tamil",
  "iso": "ta",
  "family": "Dravidian",
  "dataset": "EmoTa",
  "catalog_dataset": "EmoTa",
  "catalog_entry": "EmoTa.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.22,
  "test_accuracy": 0.19,
  "test_macro_precision": 0.16,
  "test_macro_recall": 0.16,
  "test_macro_f1": 0.15,
  "test_weighted_f1": 0.17,
  "test_f1_per_emotion": {
   "ANGER": 0.2,
   "FEAR": 0.0,
   "HAPPINESS": 0.12,
   "NEUTRAL": 0.25,
   "SADNESS": 0.18
  }
 },
 {
  "run_id": "ta_EmoTa_wav2vec2-xls-r-300m",
  "language": "Tamil",
  "language_folder": "Tamil",
  "iso": "ta",
  "family": "Dravidian",
  "dataset": "EmoTa",
  "catalog_dataset": "EmoTa",
  "catalog_entry": "EmoTa.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.19,
  "test_accuracy": 0.24,
  "test_macro_precision": 0.15,
  "test_macro_recall": 0.21,
  "test_macro_f1": 0.17,
  "test_weighted_f1": 0.19,
  "test_f1_per_emotion": {
   "ANGER": 0.0,
   "FEAR": 0.0,
   "HAPPINESS": 0.24,
   "NEUTRAL": 0.32,
   "SADNESS": 0.27
  }
 },
 {
  "run_id": "ta_EmoTa_wav2vec2-xls-r-1b",
  "language": "Tamil",
  "language_folder": "Tamil",
  "iso": "ta",
  "family": "Dravidian",
  "dataset": "EmoTa",
  "catalog_dataset": "EmoTa",
  "catalog_entry": "EmoTa.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.23,
  "test_accuracy": 0.2,
  "test_macro_precision": 0.13,
  "test_macro_recall": 0.2,
  "test_macro_f1": 0.14,
  "test_weighted_f1": 0.14,
  "test_f1_per_emotion": {
   "ANGER": 0.11,
   "FEAR": 0.0,
   "HAPPINESS": 0.28,
   "NEUTRAL": 0.0,
   "SADNESS": 0.28
  }
 },
 {
  "run_id": "ta_EmoTa_wavlm-base-plus",
  "language": "Tamil",
  "language_folder": "Tamil",
  "iso": "ta",
  "family": "Dravidian",
  "dataset": "EmoTa",
  "catalog_dataset": "EmoTa",
  "catalog_entry": "EmoTa.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.33,
  "test_accuracy": 0.35,
  "test_macro_precision": 0.36,
  "test_macro_recall": 0.35,
  "test_macro_f1": 0.35,
  "test_weighted_f1": 0.35,
  "test_f1_per_emotion": {
   "ANGER": 0.31,
   "FEAR": 0.42,
   "HAPPINESS": 0.28,
   "NEUTRAL": 0.29,
   "SADNESS": 0.45
  }
 },
 {
  "run_id": "ta_EmoTa_wavlm-large",
  "language": "Tamil",
  "language_folder": "Tamil",
  "iso": "ta",
  "family": "Dravidian",
  "dataset": "EmoTa",
  "catalog_dataset": "EmoTa",
  "catalog_entry": "EmoTa.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.33,
  "test_accuracy": 0.29,
  "test_macro_precision": 0.38,
  "test_macro_recall": 0.27,
  "test_macro_f1": 0.27,
  "test_weighted_f1": 0.27,
  "test_f1_per_emotion": {
   "ANGER": 0.37,
   "FEAR": 0.22,
   "HAPPINESS": 0.33,
   "NEUTRAL": 0.19,
   "SADNESS": 0.22
  }
 },
 {
  "run_id": "ta_EmoTa_whisper-small",
  "language": "Tamil",
  "language_folder": "Tamil",
  "iso": "ta",
  "family": "Dravidian",
  "dataset": "EmoTa",
  "catalog_dataset": "EmoTa",
  "catalog_entry": "EmoTa.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.4,
  "test_accuracy": 0.44,
  "test_macro_precision": 0.43,
  "test_macro_recall": 0.44,
  "test_macro_f1": 0.43,
  "test_weighted_f1": 0.43,
  "test_f1_per_emotion": {
   "ANGER": 0.35,
   "FEAR": 0.51,
   "HAPPINESS": 0.43,
   "NEUTRAL": 0.56,
   "SADNESS": 0.32
  }
 },
 {
  "run_id": "ta_EmoTa_whisper-large",
  "language": "Tamil",
  "language_folder": "Tamil",
  "iso": "ta",
  "family": "Dravidian",
  "dataset": "EmoTa",
  "catalog_dataset": "EmoTa",
  "catalog_entry": "EmoTa.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.4,
  "test_accuracy": 0.41,
  "test_macro_precision": 0.4,
  "test_macro_recall": 0.41,
  "test_macro_f1": 0.4,
  "test_weighted_f1": 0.4,
  "test_f1_per_emotion": {
   "ANGER": 0.28,
   "FEAR": 0.5,
   "HAPPINESS": 0.35,
   "NEUTRAL": 0.55,
   "SADNESS": 0.3
  }
 },
 {
  "run_id": "te_Telugu-Dataset_hubert-base-ls960",
  "language": "Telugu",
  "language_folder": "Telugu",
  "iso": "te",
  "family": "Dravidian",
  "dataset": "Telugu-Dataset",
  "catalog_dataset": "Sowmith et al (2024)",
  "catalog_entry": "Sowmith_et_al_2024.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.48,
  "test_accuracy": 0.53,
  "test_macro_precision": 0.52,
  "test_macro_recall": 0.51,
  "test_macro_f1": 0.52,
  "test_weighted_f1": 0.53,
  "test_f1_per_emotion": {
   "ANGER": 0.58,
   "HAPPINESS": 0.54,
   "NEUTRAL": 0.53,
   "SADNESS": 0.42
  }
 },
 {
  "run_id": "te_Telugu-Dataset_hubert-large-ls960-ft",
  "language": "Telugu",
  "language_folder": "Telugu",
  "iso": "te",
  "family": "Dravidian",
  "dataset": "Telugu-Dataset",
  "catalog_dataset": "Sowmith et al (2024)",
  "catalog_entry": "Sowmith_et_al_2024.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.41,
  "test_accuracy": 0.35,
  "test_macro_precision": 0.34,
  "test_macro_recall": 0.34,
  "test_macro_f1": 0.3,
  "test_weighted_f1": 0.3,
  "test_f1_per_emotion": {
   "ANGER": 0.32,
   "HAPPINESS": 0.32,
   "NEUTRAL": 0.48,
   "SADNESS": 0.06
  }
 },
 {
  "run_id": "te_Telugu-Dataset_wav2vec2-base",
  "language": "Telugu",
  "language_folder": "Telugu",
  "iso": "te",
  "family": "Dravidian",
  "dataset": "Telugu-Dataset",
  "catalog_dataset": "Sowmith et al (2024)",
  "catalog_entry": "Sowmith_et_al_2024.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.46,
  "test_accuracy": 0.44,
  "test_macro_precision": 0.43,
  "test_macro_recall": 0.43,
  "test_macro_f1": 0.42,
  "test_weighted_f1": 0.43,
  "test_f1_per_emotion": {
   "ANGER": 0.48,
   "HAPPINESS": 0.29,
   "NEUTRAL": 0.53,
   "SADNESS": 0.37
  }
 },
 {
  "run_id": "te_Telugu-Dataset_wav2vec2-large-960h",
  "language": "Telugu",
  "language_folder": "Telugu",
  "iso": "te",
  "family": "Dravidian",
  "dataset": "Telugu-Dataset",
  "catalog_dataset": "Sowmith et al (2024)",
  "catalog_entry": "Sowmith_et_al_2024.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.28,
  "test_accuracy": 0.35,
  "test_macro_precision": 0.33,
  "test_macro_recall": 0.32,
  "test_macro_f1": 0.27,
  "test_weighted_f1": 0.27,
  "test_f1_per_emotion": {
   "ANGER": 0.39,
   "HAPPINESS": 0.1,
   "NEUTRAL": 0.49,
   "SADNESS": 0.09
  }
 },
 {
  "run_id": "te_Telugu-Dataset_wav2vec2-large-lv60",
  "language": "Telugu",
  "language_folder": "Telugu",
  "iso": "te",
  "family": "Dravidian",
  "dataset": "Telugu-Dataset",
  "catalog_dataset": "Sowmith et al (2024)",
  "catalog_entry": "Sowmith_et_al_2024.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.22,
  "test_accuracy": 0.28,
  "test_macro_precision": 0.19,
  "test_macro_recall": 0.25,
  "test_macro_f1": 0.2,
  "test_weighted_f1": 0.21,
  "test_f1_per_emotion": {
   "ANGER": 0.16,
   "HAPPINESS": 0.22,
   "NEUTRAL": 0.42,
   "SADNESS": 0.0
  }
 },
 {
  "run_id": "te_Telugu-Dataset_wav2vec2-xls-r-300m",
  "language": "Telugu",
  "language_folder": "Telugu",
  "iso": "te",
  "family": "Dravidian",
  "dataset": "Telugu-Dataset",
  "catalog_dataset": "Sowmith et al (2024)",
  "catalog_entry": "Sowmith_et_al_2024.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.28,
  "test_accuracy": 0.29,
  "test_macro_precision": 0.21,
  "test_macro_recall": 0.28,
  "test_macro_f1": 0.24,
  "test_weighted_f1": 0.25,
  "test_f1_per_emotion": {
   "ANGER": 0.25,
   "HAPPINESS": 0.26,
   "NEUTRAL": 0.44,
   "SADNESS": 0.0
  }
 },
 {
  "run_id": "te_Telugu-Dataset_wav2vec2-xls-r-1b",
  "language": "Telugu",
  "language_folder": "Telugu",
  "iso": "te",
  "family": "Dravidian",
  "dataset": "Telugu-Dataset",
  "catalog_dataset": "Sowmith et al (2024)",
  "catalog_entry": "Sowmith_et_al_2024.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.19,
  "test_accuracy": 0.29,
  "test_macro_precision": 0.23,
  "test_macro_recall": 0.28,
  "test_macro_f1": 0.24,
  "test_weighted_f1": 0.26,
  "test_f1_per_emotion": {
   "ANGER": 0.38,
   "HAPPINESS": 0.3,
   "NEUTRAL": 0.3,
   "SADNESS": 0.0
  }
 },
 {
  "run_id": "te_Telugu-Dataset_wavlm-base-plus",
  "language": "Telugu",
  "language_folder": "Telugu",
  "iso": "te",
  "family": "Dravidian",
  "dataset": "Telugu-Dataset",
  "catalog_dataset": "Sowmith et al (2024)",
  "catalog_entry": "Sowmith_et_al_2024.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.44,
  "test_accuracy": 0.53,
  "test_macro_precision": 0.52,
  "test_macro_recall": 0.5,
  "test_macro_f1": 0.5,
  "test_weighted_f1": 0.52,
  "test_f1_per_emotion": {
   "ANGER": 0.65,
   "HAPPINESS": 0.57,
   "NEUTRAL": 0.41,
   "SADNESS": 0.38
  }
 },
 {
  "run_id": "te_Telugu-Dataset_wavlm-large",
  "language": "Telugu",
  "language_folder": "Telugu",
  "iso": "te",
  "family": "Dravidian",
  "dataset": "Telugu-Dataset",
  "catalog_dataset": "Sowmith et al (2024)",
  "catalog_entry": "Sowmith_et_al_2024.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.46,
  "test_accuracy": 0.43,
  "test_macro_precision": 0.56,
  "test_macro_recall": 0.45,
  "test_macro_f1": 0.4,
  "test_weighted_f1": 0.39,
  "test_f1_per_emotion": {
   "ANGER": 0.54,
   "HAPPINESS": 0.43,
   "NEUTRAL": 0.46,
   "SADNESS": 0.18
  }
 },
 {
  "run_id": "te_Telugu-Dataset_whisper-small",
  "language": "Telugu",
  "language_folder": "Telugu",
  "iso": "te",
  "family": "Dravidian",
  "dataset": "Telugu-Dataset",
  "catalog_dataset": "Sowmith et al (2024)",
  "catalog_entry": "Sowmith_et_al_2024.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.5,
  "test_accuracy": 0.52,
  "test_macro_precision": 0.52,
  "test_macro_recall": 0.52,
  "test_macro_f1": 0.51,
  "test_weighted_f1": 0.52,
  "test_f1_per_emotion": {
   "ANGER": 0.6,
   "HAPPINESS": 0.55,
   "NEUTRAL": 0.5,
   "SADNESS": 0.41
  }
 },
 {
  "run_id": "te_Telugu-Dataset_whisper-large",
  "language": "Telugu",
  "language_folder": "Telugu",
  "iso": "te",
  "family": "Dravidian",
  "dataset": "Telugu-Dataset",
  "catalog_dataset": "Sowmith et al (2024)",
  "catalog_entry": "Sowmith_et_al_2024.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.46,
  "test_accuracy": 0.45,
  "test_macro_precision": 0.44,
  "test_macro_recall": 0.43,
  "test_macro_f1": 0.43,
  "test_weighted_f1": 0.45,
  "test_f1_per_emotion": {
   "ANGER": 0.62,
   "HAPPINESS": 0.47,
   "NEUTRAL": 0.43,
   "SADNESS": 0.19
  }
 },
 {
  "run_id": "tr_TurEV-DB_hubert-base-ls960",
  "language": "Turkish",
  "language_folder": "Turkish",
  "iso": "tr",
  "family": "Turkic",
  "dataset": "TurEV-DB",
  "catalog_dataset": "TurEV-DB",
  "catalog_entry": "TurEV-DB.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.66,
  "test_accuracy": 0.68,
  "test_macro_precision": 0.7,
  "test_macro_recall": 0.66,
  "test_macro_f1": 0.66,
  "test_weighted_f1": 0.67,
  "test_f1_per_emotion": {
   "ANGER": 0.68,
   "HAPPINESS": 0.55,
   "SADNESS": 0.76
  }
 },
 {
  "run_id": "tr_TurEV-DB_hubert-large-ls960-ft",
  "language": "Turkish",
  "language_folder": "Turkish",
  "iso": "tr",
  "family": "Turkic",
  "dataset": "TurEV-DB",
  "catalog_dataset": "TurEV-DB",
  "catalog_entry": "TurEV-DB.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.44,
  "test_accuracy": 0.44,
  "test_macro_precision": 0.48,
  "test_macro_recall": 0.4,
  "test_macro_f1": 0.34,
  "test_weighted_f1": 0.37,
  "test_f1_per_emotion": {
   "ANGER": 0.53,
   "HAPPINESS": 0.03,
   "SADNESS": 0.47
  }
 },
 {
  "run_id": "tr_TurEV-DB_wav2vec2-base",
  "language": "Turkish",
  "language_folder": "Turkish",
  "iso": "tr",
  "family": "Turkic",
  "dataset": "TurEV-DB",
  "catalog_dataset": "TurEV-DB",
  "catalog_entry": "TurEV-DB.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.43,
  "test_accuracy": 0.48,
  "test_macro_precision": 0.49,
  "test_macro_recall": 0.46,
  "test_macro_f1": 0.41,
  "test_weighted_f1": 0.43,
  "test_f1_per_emotion": {
   "ANGER": 0.46,
   "HAPPINESS": 0.18,
   "SADNESS": 0.6
  }
 },
 {
  "run_id": "tr_TurEV-DB_wav2vec2-large-960h",
  "language": "Turkish",
  "language_folder": "Turkish",
  "iso": "tr",
  "family": "Turkic",
  "dataset": "TurEV-DB",
  "catalog_dataset": "TurEV-DB",
  "catalog_entry": "TurEV-DB.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.36,
  "test_accuracy": 0.4,
  "test_macro_precision": 0.4,
  "test_macro_recall": 0.36,
  "test_macro_f1": 0.29,
  "test_weighted_f1": 0.31,
  "test_f1_per_emotion": {
   "ANGER": 0.54,
   "HAPPINESS": 0.2,
   "SADNESS": 0.14
  }
 },
 {
  "run_id": "tr_TurEV-DB_wav2vec2-large-lv60",
  "language": "Turkish",
  "language_folder": "Turkish",
  "iso": "tr",
  "family": "Turkic",
  "dataset": "TurEV-DB",
  "catalog_dataset": "TurEV-DB",
  "catalog_entry": "TurEV-DB.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.37,
  "test_accuracy": 0.39,
  "test_macro_precision": 0.25,
  "test_macro_recall": 0.35,
  "test_macro_f1": 0.27,
  "test_weighted_f1": 0.3,
  "test_f1_per_emotion": {
   "ANGER": 0.52,
   "HAPPINESS": 0.0,
   "SADNESS": 0.3
  }
 },
 {
  "run_id": "tr_TurEV-DB_wav2vec2-xls-r-300m",
  "language": "Turkish",
  "language_folder": "Turkish",
  "iso": "tr",
  "family": "Turkic",
  "dataset": "TurEV-DB",
  "catalog_dataset": "TurEV-DB",
  "catalog_entry": "TurEV-DB.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.39,
  "test_accuracy": 0.34,
  "test_macro_precision": 0.24,
  "test_macro_recall": 0.33,
  "test_macro_f1": 0.25,
  "test_weighted_f1": 0.26,
  "test_f1_per_emotion": {
   "ANGER": 0.29,
   "HAPPINESS": 0.0,
   "SADNESS": 0.46
  }
 },
 {
  "run_id": "tr_TurEV-DB_wav2vec2-xls-r-1b",
  "language": "Turkish",
  "language_folder": "Turkish",
  "iso": "tr",
  "family": "Turkic",
  "dataset": "TurEV-DB",
  "catalog_dataset": "TurEV-DB",
  "catalog_entry": "TurEV-DB.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.47,
  "test_accuracy": 0.48,
  "test_macro_precision": 0.52,
  "test_macro_recall": 0.46,
  "test_macro_f1": 0.44,
  "test_weighted_f1": 0.45,
  "test_f1_per_emotion": {
   "ANGER": 0.56,
   "HAPPINESS": 0.27,
   "SADNESS": 0.5
  }
 },
 {
  "run_id": "tr_TurEV-DB_wavlm-base-plus",
  "language": "Turkish",
  "language_folder": "Turkish",
  "iso": "tr",
  "family": "Turkic",
  "dataset": "TurEV-DB",
  "catalog_dataset": "TurEV-DB",
  "catalog_entry": "TurEV-DB.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.58,
  "test_accuracy": 0.52,
  "test_macro_precision": 0.52,
  "test_macro_recall": 0.51,
  "test_macro_f1": 0.51,
  "test_weighted_f1": 0.51,
  "test_f1_per_emotion": {
   "ANGER": 0.49,
   "HAPPINESS": 0.46,
   "SADNESS": 0.59
  }
 },
 {
  "run_id": "tr_TurEV-DB_wavlm-large",
  "language": "Turkish",
  "language_folder": "Turkish",
  "iso": "tr",
  "family": "Turkic",
  "dataset": "TurEV-DB",
  "catalog_dataset": "TurEV-DB",
  "catalog_entry": "TurEV-DB.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.65,
  "test_accuracy": 0.63,
  "test_macro_precision": 0.69,
  "test_macro_recall": 0.6,
  "test_macro_f1": 0.55,
  "test_weighted_f1": 0.57,
  "test_f1_per_emotion": {
   "ANGER": 0.7,
   "HAPPINESS": 0.2,
   "SADNESS": 0.74
  }
 },
 {
  "run_id": "tr_TurEV-DB_whisper-small",
  "language": "Turkish",
  "language_folder": "Turkish",
  "iso": "tr",
  "family": "Turkic",
  "dataset": "TurEV-DB",
  "catalog_dataset": "TurEV-DB",
  "catalog_entry": "TurEV-DB.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.88,
  "test_accuracy": 0.84,
  "test_macro_precision": 0.85,
  "test_macro_recall": 0.84,
  "test_macro_f1": 0.84,
  "test_weighted_f1": 0.84,
  "test_f1_per_emotion": {
   "ANGER": 0.82,
   "HAPPINESS": 0.81,
   "SADNESS": 0.89
  }
 },
 {
  "run_id": "tr_TurEV-DB_whisper-large",
  "language": "Turkish",
  "language_folder": "Turkish",
  "iso": "tr",
  "family": "Turkic",
  "dataset": "TurEV-DB",
  "catalog_dataset": "TurEV-DB",
  "catalog_entry": "TurEV-DB.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.87,
  "test_accuracy": 0.84,
  "test_macro_precision": 0.85,
  "test_macro_recall": 0.84,
  "test_macro_f1": 0.84,
  "test_weighted_f1": 0.84,
  "test_f1_per_emotion": {
   "ANGER": 0.83,
   "HAPPINESS": 0.8,
   "SADNESS": 0.9
  }
 },
 {
  "run_id": "ur_Urdu-Dataset_hubert-base-ls960",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "Urdu-Dataset",
  "catalog_dataset": "URDU-Dataset",
  "catalog_entry": "URDU-Dataset.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.79,
  "test_accuracy": 0.87,
  "test_macro_precision": 0.87,
  "test_macro_recall": 0.87,
  "test_macro_f1": 0.86,
  "test_weighted_f1": 0.87,
  "test_f1_per_emotion": {
   "ANGER": 0.92,
   "HAPPINESS": 0.82,
   "NEUTRAL": 0.93,
   "SADNESS": 0.78
  }
 },
 {
  "run_id": "ur_Urdu-Dataset_hubert-large-ls960-ft",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "Urdu-Dataset",
  "catalog_dataset": "URDU-Dataset",
  "catalog_entry": "URDU-Dataset.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.35,
  "test_accuracy": 0.43,
  "test_macro_precision": 0.4,
  "test_macro_recall": 0.38,
  "test_macro_f1": 0.38,
  "test_weighted_f1": 0.42,
  "test_f1_per_emotion": {
   "ANGER": 0.24,
   "HAPPINESS": 0.42,
   "NEUTRAL": 0.67,
   "SADNESS": 0.19
  }
 },
 {
  "run_id": "ur_Urdu-Dataset_wav2vec2-base",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "Urdu-Dataset",
  "catalog_dataset": "URDU-Dataset",
  "catalog_entry": "URDU-Dataset.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.72,
  "test_accuracy": 0.88,
  "test_macro_precision": 0.9,
  "test_macro_recall": 0.88,
  "test_macro_f1": 0.88,
  "test_weighted_f1": 0.87,
  "test_f1_per_emotion": {
   "ANGER": 0.96,
   "HAPPINESS": 0.86,
   "NEUTRAL": 0.89,
   "SADNESS": 0.81
  }
 },
 {
  "run_id": "ur_Urdu-Dataset_wav2vec2-large-960h",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "Urdu-Dataset",
  "catalog_dataset": "URDU-Dataset",
  "catalog_entry": "URDU-Dataset.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.26,
  "test_accuracy": 0.34,
  "test_macro_precision": 0.37,
  "test_macro_recall": 0.28,
  "test_macro_f1": 0.25,
  "test_weighted_f1": 0.3,
  "test_f1_per_emotion": {
   "ANGER": 0.08,
   "HAPPINESS": 0.27,
   "NEUTRAL": 0.52,
   "SADNESS": 0.15
  }
 },
 {
  "run_id": "ur_Urdu-Dataset_wav2vec2-large-lv60",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "Urdu-Dataset",
  "catalog_dataset": "URDU-Dataset",
  "catalog_entry": "URDU-Dataset.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.18,
  "test_accuracy": 0.35,
  "test_macro_precision": 0.28,
  "test_macro_recall": 0.3,
  "test_macro_f1": 0.27,
  "test_weighted_f1": 0.3,
  "test_f1_per_emotion": {
   "ANGER": 0.24,
   "HAPPINESS": 0.33,
   "NEUTRAL": 0.48,
   "SADNESS": 0.0
  }
 },
 {
  "run_id": "ur_Urdu-Dataset_wav2vec2-xls-r-300m",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "Urdu-Dataset",
  "catalog_dataset": "URDU-Dataset",
  "catalog_entry": "URDU-Dataset.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.29,
  "test_accuracy": 0.41,
  "test_macro_precision": 0.46,
  "test_macro_recall": 0.37,
  "test_macro_f1": 0.36,
  "test_weighted_f1": 0.38,
  "test_f1_per_emotion": {
   "ANGER": 0.24,
   "HAPPINESS": 0.24,
   "NEUTRAL": 0.52,
   "SADNESS": 0.44
  }
 },
 {
  "run_id": "ur_Urdu-Dataset_wav2vec2-xls-r-1b",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "Urdu-Dataset",
  "catalog_dataset": "URDU-Dataset",
  "catalog_entry": "URDU-Dataset.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.23,
  "test_accuracy": 0.35,
  "test_macro_precision": 0.27,
  "test_macro_recall": 0.29,
  "test_macro_f1": 0.26,
  "test_weighted_f1": 0.32,
  "test_f1_per_emotion": {
   "ANGER": 0.0,
   "HAPPINESS": 0.29,
   "NEUTRAL": 0.44,
   "SADNESS": 0.32
  }
 },
 {
  "run_id": "ur_Urdu-Dataset_wavlm-base-plus",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "Urdu-Dataset",
  "catalog_dataset": "URDU-Dataset",
  "catalog_entry": "URDU-Dataset.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.72,
  "test_accuracy": 0.76,
  "test_macro_precision": 0.78,
  "test_macro_recall": 0.77,
  "test_macro_f1": 0.75,
  "test_weighted_f1": 0.76,
  "test_f1_per_emotion": {
   "ANGER": 0.78,
   "HAPPINESS": 0.66,
   "NEUTRAL": 0.86,
   "SADNESS": 0.71
  }
 },
 {
  "run_id": "ur_Urdu-Dataset_wavlm-large",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "Urdu-Dataset",
  "catalog_dataset": "URDU-Dataset",
  "catalog_entry": "URDU-Dataset.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.64,
  "test_accuracy": 0.5,
  "test_macro_precision": 0.68,
  "test_macro_recall": 0.54,
  "test_macro_f1": 0.5,
  "test_weighted_f1": 0.49,
  "test_f1_per_emotion": {
   "ANGER": 0.61,
   "HAPPINESS": 0.39,
   "NEUTRAL": 0.51,
   "SADNESS": 0.49
  }
 },
 {
  "run_id": "ur_Urdu-Dataset_whisper-small",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "Urdu-Dataset",
  "catalog_dataset": "URDU-Dataset",
  "catalog_entry": "URDU-Dataset.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.87,
  "test_accuracy": 0.78,
  "test_macro_precision": 0.75,
  "test_macro_recall": 0.79,
  "test_macro_f1": 0.76,
  "test_weighted_f1": 0.78,
  "test_f1_per_emotion": {
   "ANGER": 0.74,
   "HAPPINESS": 0.85,
   "NEUTRAL": 0.79,
   "SADNESS": 0.67
  }
 },
 {
  "run_id": "ur_Urdu-Dataset_whisper-large",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "Urdu-Dataset",
  "catalog_dataset": "URDU-Dataset",
  "catalog_entry": "URDU-Dataset.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.85,
  "test_accuracy": 0.82,
  "test_macro_precision": 0.78,
  "test_macro_recall": 0.81,
  "test_macro_f1": 0.79,
  "test_weighted_f1": 0.83,
  "test_f1_per_emotion": {
   "ANGER": 0.67,
   "HAPPINESS": 0.92,
   "NEUTRAL": 0.82,
   "SADNESS": 0.77
  }
 },
 {
  "run_id": "ur_UrduSER_hubert-base-ls960",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "UrduSER",
  "catalog_dataset": "UrduSER",
  "catalog_entry": "UrduSER.md",
  "model": "hubert-base-ls960",
  "model_family": "HuBERT",
  "val_accuracy": 0.53,
  "test_accuracy": 0.51,
  "test_macro_precision": 0.52,
  "test_macro_recall": 0.5,
  "test_macro_f1": 0.5,
  "test_weighted_f1": 0.51,
  "test_f1_per_emotion": {
   "ANGER": 0.63,
   "FEAR": 0.35,
   "HAPPINESS": 0.41,
   "NEUTRAL": 0.58,
   "SADNESS": 0.52
  }
 },
 {
  "run_id": "ur_UrduSER_hubert-large-ls960-ft",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "UrduSER",
  "catalog_dataset": "UrduSER",
  "catalog_entry": "UrduSER.md",
  "model": "hubert-large-ls960-ft",
  "model_family": "HuBERT",
  "val_accuracy": 0.31,
  "test_accuracy": 0.32,
  "test_macro_precision": 0.35,
  "test_macro_recall": 0.33,
  "test_macro_f1": 0.27,
  "test_weighted_f1": 0.26,
  "test_f1_per_emotion": {
   "ANGER": 0.4,
   "FEAR": 0.11,
   "HAPPINESS": 0.25,
   "NEUTRAL": 0.44,
   "SADNESS": 0.16
  }
 },
 {
  "run_id": "ur_UrduSER_wav2vec2-base",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "UrduSER",
  "catalog_dataset": "UrduSER",
  "catalog_entry": "UrduSER.md",
  "model": "wav2vec2-base",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.44,
  "test_accuracy": 0.46,
  "test_macro_precision": 0.46,
  "test_macro_recall": 0.45,
  "test_macro_f1": 0.44,
  "test_weighted_f1": 0.45,
  "test_f1_per_emotion": {
   "ANGER": 0.62,
   "FEAR": 0.27,
   "HAPPINESS": 0.25,
   "NEUTRAL": 0.52,
   "SADNESS": 0.53
  }
 },
 {
  "run_id": "ur_UrduSER_wav2vec2-large-960h",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "UrduSER",
  "catalog_dataset": "UrduSER",
  "catalog_entry": "UrduSER.md",
  "model": "wav2vec2-large-960h",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.23,
  "test_accuracy": 0.24,
  "test_macro_precision": 0.27,
  "test_macro_recall": 0.26,
  "test_macro_f1": 0.19,
  "test_weighted_f1": 0.18,
  "test_f1_per_emotion": {
   "ANGER": 0.26,
   "FEAR": 0.04,
   "HAPPINESS": 0.25,
   "NEUTRAL": 0.4,
   "SADNESS": 0.02
  }
 },
 {
  "run_id": "ur_UrduSER_wav2vec2-large-lv60",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "UrduSER",
  "catalog_dataset": "UrduSER",
  "catalog_entry": "UrduSER.md",
  "model": "wav2vec2-large-lv60",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.22,
  "test_accuracy": 0.23,
  "test_macro_precision": 0.16,
  "test_macro_recall": 0.25,
  "test_macro_f1": 0.16,
  "test_weighted_f1": 0.15,
  "test_f1_per_emotion": {
   "ANGER": 0.31,
   "FEAR": 0.01,
   "HAPPINESS": 0.15,
   "NEUTRAL": 0.35,
   "SADNESS": 0.0
  }
 },
 {
  "run_id": "ur_UrduSER_wav2vec2-xls-r-300m",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "UrduSER",
  "catalog_dataset": "UrduSER",
  "catalog_entry": "UrduSER.md",
  "model": "wav2vec2-xls-r-300m",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.27,
  "test_accuracy": 0.28,
  "test_macro_precision": 0.29,
  "test_macro_recall": 0.28,
  "test_macro_f1": 0.27,
  "test_weighted_f1": 0.27,
  "test_f1_per_emotion": {
   "ANGER": 0.33,
   "FEAR": 0.12,
   "HAPPINESS": 0.25,
   "NEUTRAL": 0.34,
   "SADNESS": 0.32
  }
 },
 {
  "run_id": "ur_UrduSER_wav2vec2-xls-r-1b",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "UrduSER",
  "catalog_dataset": "UrduSER",
  "catalog_entry": "UrduSER.md",
  "model": "wav2vec2-xls-r-1b",
  "model_family": "wav2vec 2.0",
  "val_accuracy": 0.28,
  "test_accuracy": 0.26,
  "test_macro_precision": 0.38,
  "test_macro_recall": 0.28,
  "test_macro_f1": 0.19,
  "test_weighted_f1": 0.19,
  "test_f1_per_emotion": {
   "ANGER": 0.1,
   "FEAR": 0.02,
   "HAPPINESS": 0.15,
   "NEUTRAL": 0.36,
   "SADNESS": 0.33
  }
 },
 {
  "run_id": "ur_UrduSER_wavlm-base-plus",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "UrduSER",
  "catalog_dataset": "UrduSER",
  "catalog_entry": "UrduSER.md",
  "model": "wavlm-base-plus",
  "model_family": "WavLM",
  "val_accuracy": 0.52,
  "test_accuracy": 0.52,
  "test_macro_precision": 0.51,
  "test_macro_recall": 0.5,
  "test_macro_f1": 0.49,
  "test_weighted_f1": 0.51,
  "test_f1_per_emotion": {
   "ANGER": 0.67,
   "FEAR": 0.29,
   "HAPPINESS": 0.39,
   "NEUTRAL": 0.61,
   "SADNESS": 0.52
  }
 },
 {
  "run_id": "ur_UrduSER_wavlm-large",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "UrduSER",
  "catalog_dataset": "UrduSER",
  "catalog_entry": "UrduSER.md",
  "model": "wavlm-large",
  "model_family": "WavLM",
  "val_accuracy": 0.44,
  "test_accuracy": 0.45,
  "test_macro_precision": 0.5,
  "test_macro_recall": 0.46,
  "test_macro_f1": 0.44,
  "test_weighted_f1": 0.44,
  "test_f1_per_emotion": {
   "ANGER": 0.62,
   "FEAR": 0.18,
   "HAPPINESS": 0.39,
   "NEUTRAL": 0.51,
   "SADNESS": 0.5
  }
 },
 {
  "run_id": "ur_UrduSER_whisper-small",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "UrduSER",
  "catalog_dataset": "UrduSER",
  "catalog_entry": "UrduSER.md",
  "model": "whisper-small",
  "model_family": "Whisper",
  "val_accuracy": 0.59,
  "test_accuracy": 0.56,
  "test_macro_precision": 0.55,
  "test_macro_recall": 0.55,
  "test_macro_f1": 0.55,
  "test_weighted_f1": 0.56,
  "test_f1_per_emotion": {
   "ANGER": 0.74,
   "FEAR": 0.36,
   "HAPPINESS": 0.45,
   "NEUTRAL": 0.54,
   "SADNESS": 0.67
  }
 },
 {
  "run_id": "ur_UrduSER_whisper-large",
  "language": "Urdu",
  "language_folder": "Urdu",
  "iso": "ur",
  "family": "Indo-European",
  "dataset": "UrduSER",
  "catalog_dataset": "UrduSER",
  "catalog_entry": "UrduSER.md",
  "model": "whisper-large",
  "model_family": "Whisper",
  "val_accuracy": 0.6,
  "test_accuracy": 0.6,
  "test_macro_precision": 0.59,
  "test_macro_recall": 0.59,
  "test_macro_f1": 0.59,
  "test_weighted_f1": 0.6,
  "test_f1_per_emotion": {
   "ANGER": 0.78,
   "FEAR": 0.4,
   "HAPPINESS": 0.51,
   "NEUTRAL": 0.6,
   "SADNESS": 0.66
  }
 }
]
