---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': ang
          '1': hap
          '2': neu
          '3': sad
  splits:
  - name: session1
    num_bytes: 71932
    num_examples: 1085
  - name: session2
    num_bytes: 79012
    num_examples: 1023
  - name: session3
    num_bytes: 74980
    num_examples: 1151
  - name: session4
    num_bytes: 72622
    num_examples: 1031
  - name: session5
    num_bytes: 89524
    num_examples: 1241
  download_size: 215486
  dataset_size: 388070
task_categories:
- text-classification
language:
- en
tags:
- Emotion recognition
- Text classification
size_categories:
- 1K<n<10K
---
# Dataset Card for "IEMOCAP_Text"

This dataset obtained from IEMOCAP dataset. For more information go to [IEMOCAP](https://sail.usc.edu/iemocap/) webpage.
This dataset contains 5 most common classes includes angry, happy, excitement, neutral and sad. Based on articles in this field, we merge excitement and happy classes.
Our dataset contaions 5531 utterances and it splits based on the sessions.

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)