README.md

---
language:
- fr
license: cc-by-sa-4.0
task_categories:
- text-classification
dataset_info:
  features:
  - name: previous_sentence
    dtype: string
  - name: types
    sequence: string
  - name: modes
    sequence: string
  - name: categories
    sequence: string
  - name: next_sentence
    dtype: string
  - name: target_sentence
    dtype: string
  - name: is_emotional
    dtype: bool
  splits:
  - name: train
    num_bytes: 6845736
    num_examples: 19560
  - name: validation
    num_bytes: 958060
    num_examples: 2781
  - name: test
    num_bytes: 1969946
    num_examples: 5570
  download_size: 5791557
  dataset_size: 9773742
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
tags:
- emotions
---

# Dataset Card for [Dataset Name]

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [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

- **Homepage:**
- **Repository:**
- **Paper:** https://arxiv.org/abs/2405.14385
- **Leaderboard:**
- **Point of Contact:** Gwénolé Lecorvé

### Dataset Summary

EmoTextToKids provides sentences from written documents annotated in emotions.
Emotions are characterized by their emotional category (fear, anger, pride...) and their expression mode (labeled, behavioral, displayed or suggester).
As opposed to usual datasets in emotion recognition, the documents are **not** conversational. They are newspapers, encyclopedias, novels, dedicated to children.

### Supported Tasks and Leaderboards

- Emotion recognition

### Languages

- French

## Dataset Structure

### Data Instances

```json
{
  "previous_sentence": "Un an plus tard, le Sénat lui accorde la dictature sans limite dans le temps. ",
  "target_sentence": "Mais à Rome, la gloire de César inquiète certains sénateurs. ",
  "next_sentence": "Un complot commence à s’organiser autour d’un homme nommé Cassius. ",
  "is_emotional": true,
  "modes": [
      "labeled"
    ],
  "types": [
      "basic"
    ],
  "categories": [
      "fear"
    ]
}
```

The fields `modes`, `types` and `categories` are lists because several emotions can be present in a unique sentence.

### Data Fields

[More Information Needed]

### Data Splits

| Subset | Texts | Sent. | Tokens | Emotional sent. |
|:--------|:-------|:--------|:--------|:-----------------|
| train | 1,129 | 19,553 | 360K | 3,952 |
| dev | 182 | 2,770 | 53K | 438 |
| test | 283 | 5,588 | 102K | 984 |
| Total | 1,594 | 27,911 | 515K | 5,374 |

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

Data were manually annotated by 6 experts following annotation guidelines here: https://hal.science/hal-03263194 .

Annotations were validated by comparing a significant sample of the annotated data with annotation of an external expert. Below are the kappa coefficients.

| Label | Kappa |
|---------------|-------|
| emotional | 0.66 |
| **Modes** |
| behavioral | 0.70 |
| labeled | 0.73 |
| displayed | 0.68 |
| suggested | 0.46 |
| **Types** |
| basic | 0.66 |
| complex | 0.55 |
| **Categories** |
| admiration | 0.53 |
| anger | 0.71 |
| guilt | 0.50 |
| disgust | 0.87 |
| embarrassment | 0.51 |
| pride | 0.25 |
| jealousy | 1.00 |
| joy | 0.51 |
| fear | 0.64 |

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

```bibtex


@misc

@inproceedings{etienne2024emotion,
  title={Emotion Identification for French in Written Texts: Considering Modes of Emotion Expression as a Step Towards Text Complexity Analysis},
  author={{\'E}tienne, Aline and Battistelli, Delphine and Lecorv{\'e}, Gw{\'e}nol{\'e}},
  booktitle={Proceedings of the 14th ACL Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA)},
  year={2024}
}
```