task_categories:text-classification size_categories:1K<n<10K language:fr license:cc-by-4.0 region:us
---
license: cc-by-4.0
task_categories:
- text-classification
language:
- fr
size_categories:
- 1K<n<10K
---

# Dataset Card for Dataset Name

## Dataset Description

- **Homepage:** 
- **Repository:** 
- **Paper:** 
- **Leaderboard:** 
- **Point of Contact:** 

### Dataset Summary

The RTE3-FR dataset is the French translation of the Textual Entailment English dataset used in the [RTE-3 Challenge](https://nlp.stanford.edu/RTE3-pilot/). 
Like its English counterpart, the French RTE-3 dataset is composed of a development set and a test set, each containing 800 T/H pairs. 
All T/H pairs were manually translated into French and proofread.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

- `id`: Index number.
- `language`: The language of the concerned pair of sentences.
- `premise`: The translated premise in the target language.
- `hypothesis`: The translated premise in the target language.
- `label`: The classification label, with possible values 0 (`entailment`), 1 (`neutral`), 2 (`contradiction`).
- `label_text`: The classification label, with possible values `entailment` (0), `neutral` (1), `contradiction` (2).
- `task`: The particular NLP task that the data was drawn from (IE, IR, QA and SUM).
- `length`: The length of the text of the pair.

### Data Splits

|     name    |entailment|neutral|contradiction|
|-------------|---------:|------:|------------:|
|     dev     |   412    |  299  |      89     |
|     test    |   410    |  318  |      72     |

|     name    |short|long|
|-------------|----:|---:|
|     dev     | 665 | 135|
|     test    | 683 | 117|

|     name    | IE| IR| QA|SUM|
|-------------|--:|--:|--:|--:|
|     dev     |200|200|200|200|
|     test    |200|200|200|200|

## 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

[More Information Needed]

#### 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

TBA

### Acknowledgements

This work was supported by the Defence Innovation Agency (AID) of the Directorate General of Armament (DGA) of the French Ministry of Armed Forces, and by the ICO, _Institut Cybersécurité Occitanie_, funded by Région Occitanie, France.

### Contributions

[More Information Needed]