Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
French
Size:
10K - 100K
ArXiv:
Tags:
emotions
License:
Update README.md
Browse files
README.md
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- fr
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tags:
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- emotions
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---
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- fr
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tags:
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- emotions
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---
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# Dataset Card for [Dataset Name]
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:**
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- **Repository:**
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- **Paper:** https://arxiv.org/abs/2405.14385
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- **Leaderboard:**
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- **Point of Contact:** Gwénolé Lecorvé
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### Dataset Summary
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EmoTextToKids provides sentences from written documents annotated in emotions.
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Emotions are characterized by their emotional category (fear, anger, pride...) and their expression mode (labeled, behavioral, displayed or suggester).
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As opposed to usual datasets in emotion recognition, the documents are **not** conversational. They are newspapers, encyclopedias, novels, dedicated to children.
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### Supported Tasks and Leaderboards
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- Emotion recognition
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### Languages
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- French
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## Dataset Structure
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### Data Instances
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```json
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{
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"previous_sentence": "Un an plus tard, le Sénat lui accorde la dictature sans limite dans le temps. ",
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"target_sentence": "Mais à Rome, la gloire de César inquiète certains sénateurs. ",
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"next_sentence": "Un complot commence à s’organiser autour d’un homme nommé Cassius. ",
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"is_emotional": true,
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"modes": [
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"désigné"
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],
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"types": [
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"base"
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],
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"categories": [
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"peur"
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]
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}
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```
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The fields `modes`, `types` and `categories` are lists because several emotions can be present in a unique sentence.
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### Data Fields
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[More Information Needed]
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### Data Splits
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| Subset | Texts | Sent. | Tokens | Emotional sent. |
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|--------|-------|--------|--------|-----------------|
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| train | 1,129 | 19,553 | 360K | 3,952 |
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| dev | 182 | 2,770 | 53K | 438 |
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| test | 283 | 5,588 | 102K | 984 |
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| Total | 1,594 | 27,911 | 515K | 5,374 |
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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Data were manually annotated by 6 experts following annotation guidelines here: https://hal.science/hal-03263194 .
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Annotations were validated by comparing a significant sample of the annotated data with annotation of an external expert. Below are the kappa coefficients.
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| Label | Kappa |
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|---------------|-------|
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| emotional | 0.66 |
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|---------------|-------|
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| behavioral | 0.70 |
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| labeled | 0.73 |
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| displayed | 0.68 |
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| suggested | 0.46 |
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|---------------|-------|
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| basic | 0.66 |
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| complex | 0.55 |
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|---------------|-------|
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| admiration | 0.53 |
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| anger | 0.71 |
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| guilt | 0.50 |
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| disgust | 0.87 |
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| embarrassment | 0.51 |
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| pride | 0.25 |
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| jealousy | 1.00 |
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| joy | 0.51 |
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| fear | 0.64 |
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[More Information Needed]
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### Citation Information
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```bibtex
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@misc
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{étienne2024emotion,
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title={Emotion Identification for French in Written Texts: Considering their Modes of Expression as a Step Towards Text Complexity Analysis},
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author={Aline Étienne and Delphine Battistelli and Gwénolé Lecorvé},
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year={2024},
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eprint={2405.14385},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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