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Add curriculum learning metrics based on inter-evaluator agreement
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metadata
dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: label
      dtype: int64
    - name: valence
      dtype: float64
    - name: arousal
      dtype: float64
    - name: arousal_norm
      dtype: float64
    - name: valence_norm
      dtype: float64
    - name: speakerID
      dtype: int64
    - name: utterance
      dtype: string
    - name: transcript
      dtype: string
    - name: emotion
      dtype: string
    - name: difficulty
      dtype: float64
    - name: curriculum_order
      dtype: int64
    - name: overall_agreement
      dtype: float64
    - name: fleiss_kappa
      dtype: float64
    - name: krippendorff_alpha
      dtype: float64
    - name: valence_std
      dtype: float64
    - name: arousal_std
      dtype: float64
    - name: dominance_std
      dtype: float64
    - name: valence_icc
      dtype: float64
    - name: arousal_icc
      dtype: float64
    - name: dominance_icc
      dtype: float64
    - name: n_categorical_evaluators
      dtype: int64
    - name: n_dimensional_evaluators
      dtype: int64
    - name: consensus_valence
      dtype: float64
    - name: consensus_arousal
      dtype: float64
    - name: consensus_dominance
      dtype: float64
    - name: naturalness_std
      dtype: float64
    - name: naturalness_icc
      dtype: float64
    - name: consensus_naturalness
      dtype: float64
  splits:
    - name: train
      num_bytes: 2803902170
      num_examples: 7798
  download_size: 2739152711
  dataset_size: 2803902170
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*