README.md

---
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

<!-- Provide a quick summary of the dataset. -->

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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### Dataset Sources [optional]

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## Uses

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### Direct Use

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## Dataset Structure

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## Dataset Creation

### Curation Rationale

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### Source Data

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#### Data Collection and Processing

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#### Personal and Sensitive Information

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## Bias, Risks, and Limitations

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### Recommendations

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