Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-class-classification
Languages:
English
Size:
100K - 1M
Tags:
emotion-classification
License:
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| # Dataset Card for "emotion" | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks](#supported-tasks) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits Sample Size](#data-splits-sample-size) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## [Dataset Description](#dataset-description) | |
| - **Homepage:** [https://github.com/dair-ai/emotion_dataset](https://github.com/dair-ai/emotion_dataset) | |
| - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Size of downloaded dataset files:** 3.95 MB | |
| - **Size of the generated dataset:** 4.16 MB | |
| - **Total amount of disk used:** 8.11 MB | |
| ### [Dataset Summary](#dataset-summary) | |
| Emotion is a dataset of English Twitter messages with six basic emotions: anger, fear, joy, love, sadness, and surprise. For more detailed information please refer to the paper. | |
| ### [Supported Tasks](#supported-tasks) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Languages](#languages) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## [Dataset Structure](#dataset-structure) | |
| We show detailed information for up to 5 configurations of the dataset. | |
| ### [Data Instances](#data-instances) | |
| #### default | |
| - **Size of downloaded dataset files:** 1.97 MB | |
| - **Size of the generated dataset:** 2.07 MB | |
| - **Total amount of disk used:** 4.05 MB | |
| An example of 'train' looks as follows. | |
| ``` | |
| { | |
| "label": 0, | |
| "text": "im feeling quite sad and sorry for myself but ill snap out of it soon" | |
| } | |
| ``` | |
| #### emotion | |
| - **Size of downloaded dataset files:** 1.97 MB | |
| - **Size of the generated dataset:** 2.09 MB | |
| - **Total amount of disk used:** 4.06 MB | |
| An example of 'validation' looks as follows. | |
| ``` | |
| ``` | |
| ### [Data Fields](#data-fields) | |
| The data fields are the same among all splits. | |
| #### default | |
| - `text`: a `string` feature. | |
| - `label`: a classification label, with possible values including `sadness` (0), `joy` (1), `love` (2), `anger` (3), `fear` (4). | |
| #### emotion | |
| - `text`: a `string` feature. | |
| - `label`: a `string` feature. | |
| ### [Data Splits Sample Size](#data-splits-sample-size) | |
| | name |train|validation|test| | |
| |-------|----:|---------:|---:| | |
| |default|16000| 2000|2000| | |
| |emotion|16000| 2000|2000| | |
| ## [Dataset Creation](#dataset-creation) | |
| ### [Curation Rationale](#curation-rationale) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Source Data](#source-data) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Annotations](#annotations) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## [Considerations for Using the Data](#considerations-for-using-the-data) | |
| ### [Social Impact of Dataset](#social-impact-of-dataset) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Discussion of Biases](#discussion-of-biases) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Other Known Limitations](#other-known-limitations) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## [Additional Information](#additional-information) | |
| ### [Dataset Curators](#dataset-curators) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Licensing Information](#licensing-information) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Citation Information](#citation-information) | |
| ``` | |
| @inproceedings{saravia-etal-2018-carer, | |
| title = "{CARER}: Contextualized Affect Representations for Emotion Recognition", | |
| author = "Saravia, Elvis and | |
| Liu, Hsien-Chi Toby and | |
| Huang, Yen-Hao and | |
| Wu, Junlin and | |
| Chen, Yi-Shin", | |
| booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing", | |
| month = oct # "-" # nov, | |
| year = "2018", | |
| address = "Brussels, Belgium", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://www.aclweb.org/anthology/D18-1404", | |
| doi = "10.18653/v1/D18-1404", | |
| pages = "3687--3697", | |
| abstract = "Emotions are expressed in nuanced ways, which varies by collective or individual experiences, knowledge, and beliefs. Therefore, to understand emotion, as conveyed through text, a robust mechanism capable of capturing and modeling different linguistic nuances and phenomena is needed. We propose a semi-supervised, graph-based algorithm to produce rich structural descriptors which serve as the building blocks for constructing contextualized affect representations from text. The pattern-based representations are further enriched with word embeddings and evaluated through several emotion recognition tasks. Our experimental results demonstrate that the proposed method outperforms state-of-the-art techniques on emotion recognition tasks.", | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@lhoestq](https://github.com/lhoestq), [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun) for adding this dataset. |