metadata

dataset_info:
  - config_name: MELD_Audio
    features:
      - name: text
        dtype: string
      - name: path
        dtype: string
      - name: audio
        dtype:
          audio:
            sampling_rate: 16000
      - name: emotion
        dtype:
          class_label:
            names:
              '0': neutral
              '1': joy
              '2': sadness
              '3': anger
              '4': fear
              '5': disgust
              '6': surprise
      - name: sentiment
        dtype:
          class_label:
            names:
              '0': neutral
              '1': positive
              '2': negative
    splits:
      - name: train
        num_bytes: 3629722
        num_examples: 9988
      - name: validation
        num_bytes: 411341
        num_examples: 1108
      - name: test
        num_bytes: 945283
        num_examples: 2610
    download_size: 7840135137
    dataset_size: 4986346
license: gpl-3.0
language:
  - en
pretty_name: MELD
size_categories:
  - 10K<n<100K
tags:
  - speech-emotion-recognition

Dataset Card for Dataset Name

The Audio, Speech, and Vision Processing Lab - Emotional Sound Database (ASVP - ESD)

Dataset Details

Dataset Description

Multimodal EmotionLines Dataset (MELD) has been created by enhancing and extending EmotionLines dataset. MELD contains the same dialogue instances available in EmotionLines, but it also encompasses audio and visual modality along with text. MELD has more than 1400 dialogues and 13000 utterances from Friends TV series. Multiple speakers participated in the dialogues. Each utterance in a dialogue has been labeled by any of these seven emotions -- Anger, Disgust, Sadness, Joy, Neutral, Surprise and Fear. MELD also has sentiment (positive, negative and neutral) annotation for each utterance. This dataset is modified from https://huggingface.co/datasets/zrr1999/MELD_Text_Audio. The audio is extracted from MELD mp4 files while the audio only has one channel with sample rate 16khz.

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