Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-class-classification
Languages:
English
Size:
100K - 1M
Tags:
emotion-classification
License:
--- | |
--- | |
# 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. |