Update README.md

---
TODO: "Add YAML tags here. Delete these instructions and copy-paste the YAML tags obtained with the online tagging app: https://huggingface.co/spaces/huggingface/datasets-tagging"
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# 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": [
"désigné"
],
"types": [
"base"
],
"categories": [
"peur"
]
}
```

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 |
|---------------|-------|
| behavioral | 0.70 |
| labeled | 0.73 |
| displayed | 0.68 |
| suggested | 0.46 |
|---------------|-------|
| basic | 0.66 |
| complex | 0.55 |
|---------------|-------|
| 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

{étienne2024emotion,
title={Emotion Identification for French in Written Texts: Considering their Modes of Expression as a Step Towards Text Complexity Analysis},
author={Aline Étienne and Delphine Battistelli and Gwénolé Lecorvé},
year={2024},
eprint={2405.14385},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```

README.md

@@ -1,40 +1,46 @@
----
-license: cc-by-sa-4.0
-dataset_info:
-  features:
-  - name: modes
-    sequence: string
-  - name: previous_sentence
-    dtype: string
-  - name: categories
-    sequence: string
-  - name: types
-    sequence: string
-  - name: is_emotional
-    dtype: bool
-  - name: next_sentence
-    dtype: string
-  - name: target_sentence
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 6850836
-    num_examples: 19560
-  - name: validation
-    num_bytes: 958769
-    num_examples: 2781
-  - name: test
-    num_bytes: 1971131
-    num_examples: 5570
-  download_size: 5792236
-  dataset_size: 9780736
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
----
+---
+license: cc-by-sa-4.0
+dataset_info:
+  features:
+  - name: modes
+    sequence: string
+  - name: previous_sentence
+    dtype: string
+  - name: categories
+    sequence: string
+  - name: types
+    sequence: string
+  - name: is_emotional
+    dtype: bool
+  - name: next_sentence
+    dtype: string
+  - name: target_sentence
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 6850836
+    num_examples: 19560
+  - name: validation
+    num_bytes: 958769
+    num_examples: 2781
+  - name: test
+    num_bytes: 1971131
+    num_examples: 5570
+  download_size: 5792236
+  dataset_size: 9780736
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
+task_categories:
+- text-classification
+language:
+- fr
+tags:
+- emotions
+---