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---
dataset_info:
features:
- name: title
dtype: string
- name: did
dtype: int64
- name: data
list:
- name: img
sequence: string
- name: source_text
dtype: string
- name: title
dtype: string
- name: collection
dtype: string
- name: url
dtype: string
splits:
- name: train
num_bytes: 5698579
num_examples: 1150
download_size: 3328023
dataset_size: 5698579
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# CQuAE base Documents Dataset Card
## Overview
The CQuAE dataset is a new French contextualized question-answering corpus focused on the education domain. It provides a structured annotation system that enhances the dataset's applicability for educational contexts and linguistic research. The primary documents used for annotations are detailed below, capturing a diversity of sources and content suitable for developing robust question-answering models.
## CQuAE Documents
The documents utilized in the CQuAE annotations are stored in a JSON file (`cquae-document.json`). Each document entry is represented as a dictionary, providing rich information about various textual sources. Below is the format and structure of how each document is stored:
- **`did` (int):** The document unique identifier. It serves as a reference for linking annotations to their respective sources.
- **`url` (str):** The source URL of the document. This provides access to the original location of the document for further reference or exploration.
- **`title` (str):** The title of the document. For Wikipedia entries, this represents the page title, whereas for educational content like "le livre scolaire," it represents the lesson name.
- **`data` (list):** A list of dictionaries, each corresponding to a specific paragraph or section within the document. The structure for each entry in the data list is as follows:
- **`source_text` (str):** The actual textual content of the paragraph or section.
- **`title` (str):** The title of the section, which is an empty string if the section does not possess a title.
- **`img` (list):** Contains URLs of images associated with the section. An empty list indicates no images are present.
### Example Document Entry
```json
{
"url": "https://www.lelivrescolaire.fr/page/6330739",
"title": "L’organisme pluricellulaire, ensemble de cellules spécialisées",
"data": [
{
"source_text": "On peut observer, à l’œil nu, un organisme pluricellulaire et les organes qui le constituent...",
"title": "1 Les échelles du vivant [activité 1]",
"img": []
}
],
"collection": "lls-svt-seconde",
"did": 10
}
```
## Notes
- The dataset enhances educational resources for developing natural language understanding and question-answering systems.
- It provides context across a wide array of educational topics, allowing for diverse applications in computational linguistics and AI education tools.
- The dataset is versioned and maintained to address any linguistic inconsistencies or relevancy concerns identified in the initial release.
## Language
French
## License
Creative Commons Attribution-NonCommercial 4.0 International
## Citation
[CQuAE : Un nouveau corpus de question-réponse pour l’enseignement](https://aclanthology.org/2024.jeptalnrecital-taln.4/) (Gerald et al., JEP/TALN/RECITAL 2024)
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