---
dataset_info:
splits:
    - name: test
task_categories:
- question-answering
language:
- fr
pretty_name: Syntec dataset for information retrieval
configs:
- config_name: documents
  data_files:
    - split: test
      path: documents.json
- config_name: queries
  data_files:
    - split: test
      path: queries.json
---
# Syntec dataset for information retrieval

This dataset has been built from the Syntec Collective bargaining agreement. Its purpose is information retrieval.

## Dataset Details

The dataset is rather small. It is intended to be used only as a test set, for fast evaluation of models.

It is split into 2 subsets :
- **queries** : it features 100 manually created questions. Each question is mapped to the article that contains the answer.
- **documents** : corresponds to the 90 articles from the collective bargaining

### Usage

```py
import datasets

# Download the documents (corpus)
corpus_raw = datasets.load_dataset("lyon-nlp/mteb-fr-retrieval-syntec-s2p", "documents")

# Download the queries
queries_raw = datasets.load_dataset("lyon-nlp/mteb-fr-retrieval-syntec-s2p", "queries")
```

### Dataset Description

The collective bargaining agreement is applicable to employees of Technical Design Offices, Consulting Engineering Firms and Consulting Companies.

The dataset contains 100 questions, each having their answer in 1 of the 90 articles of the documents. The dataset was manually annotated. It's small size allows for quick prototyping.

- **Curated by:** Wikit AI (https://www.wikit.ai/)
- **Language(s) (NLP):** French
- **License:** [More Information Needed]

### Dataset Sources

https://www.syntec.fr/

### Contact

mathieu@wikit.ai
marion@wikit.ai