Datasets:
Modalities:
Text
Formats:
parquet
Languages:
French
Size:
10M - 100M
Tags:
administrative documents
whole word masking
text-mining
text generation
information extraction
License:
license: cc-by-nc-sa-4.0 | |
language: | |
- fr | |
multilinguality: | |
- monolingual | |
tags: | |
- administrative documents | |
- whole word masking | |
- text-mining | |
- text generation | |
- information extraction | |
dataset_info: | |
features: | |
- name: ID | |
dtype: int64 | |
- name: Sentences | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 14666274831.145327 | |
num_examples: 40261727 | |
- name: test | |
num_bytes: 3666568798.8546734 | |
num_examples: 10065432 | |
download_size: 11212509607 | |
dataset_size: 18332843630.0 | |
configs: | |
- config_name: default | |
data_files: | |
- split: train | |
path: data/train-* | |
- split: test | |
path: data/test-* | |
# Adminset the first dataset of French Administrative documents | |
Adminset is a dataset of more than 50 millions sentences or text fragments, extract from French adminstrative documents produce by municipalities, communes, metropolises, départements, regions, prefectures and ministries. | |
## Citation | |
If you use this dataset, please cite the following paper: | |
``` | |
Thomas Sebbag, Solen Quiniou, Nicolas Stucky, Emmanuel Morin. | |
AdminSet and AdminBERT: a Dataset and a Pre-trained Language Model to Explore the Unstructured Maze of French Administrative Documents, | |
Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025). | |
``` | |
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