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--- |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': ang |
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'1': hap |
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'2': neu |
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'3': sad |
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splits: |
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- name: session1 |
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num_bytes: 71932 |
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num_examples: 1085 |
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- name: session2 |
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num_bytes: 79012 |
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num_examples: 1023 |
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- name: session3 |
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num_bytes: 74980 |
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num_examples: 1151 |
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- name: session4 |
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num_bytes: 72622 |
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num_examples: 1031 |
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- name: session5 |
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num_bytes: 89524 |
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num_examples: 1241 |
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download_size: 215486 |
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dataset_size: 388070 |
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task_categories: |
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- text-classification |
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language: |
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- en |
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tags: |
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- Emotion recognition |
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- Text classification |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Dataset Card for "IEMOCAP_Text" |
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This dataset obtained from IEMOCAP dataset. For more information go to [IEMOCAP](https://sail.usc.edu/iemocap/) webpage. |
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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. |
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Our dataset contaions 5531 utterances and it splits based on the sessions. |
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
