README.md

---
dataset_info:
  features:
  - name: ref
    dtype: string
  - name: title_main
    dtype: string
  - name: texte
    dtype: string
  - name: dateDebut
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  - name: dateFin
    dtype: int64
  - name: num
    dtype: string
  - name: id
    dtype: string
  - name: cid
    dtype: string
  - name: type
    dtype: string
  - name: etat
    dtype: string
  - name: nota
    dtype: string
  - name: version_article
    dtype: string
  - name: ordre
    dtype: int64
  - name: conditionDiffere
    dtype: 'null'
  - name: infosComplementaires
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  - name: nature
    dtype: string
  - name: texteHtml
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  - name: dateFinExtension
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  - name: versionPrecedente
    dtype: string
  - name: refInjection
    dtype: string
  - name: idTexte
    dtype: 'null'
  - name: idTechInjection
    dtype: string
  - name: origine
    dtype: string
  - name: dateDebutExtension
    dtype: int64
  - name: idEliAlias
    dtype: 'null'
  - name: cidTexte
    dtype: 'null'
  - name: sectionParentId
    dtype: string
  - name: multipleVersions
    dtype: bool
  - name: comporteLiensSP
    dtype: bool
  - name: sectionParentTitre
    dtype: string
  - name: infosRestructurationBranche
    dtype: 'null'
  - name: idEli
    dtype: 'null'
  - name: sectionParentCid
    dtype: string
  - name: numeroBo
    dtype: 'null'
  - name: infosRestructurationBrancheHtml
    dtype: 'null'
  - name: historique
    dtype: 'null'
  - name: infosComplementairesHtml
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  - name: renvoi
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  - name: fullSectionsTitre
    dtype: string
  - name: notaHtml
    dtype: string
  - name: inap
    dtype: 'null'
  splits:
  - name: train
    num_bytes: 432536720
    num_examples: 153983
  download_size: 185292857
  dataset_size: 432536720
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: apache-2.0
task_categories:
- text-generation
language:
- fr
tags:
- legal
- law
- droit
- fiscalité
pretty_name: Romulus, continued pre-trained models for French law
---

<img src="assets/thumbnail.webp">

# Romulus, continually pre-trained models for French law.

Romulus is a series of continually pre-trained models enriched in French law and intended to serve as the basis for a fine-tuning process on labeled data. Please note that these models have not been aligned for the production of usable text as they stand, and will certainly need to be fine-tuned for the desired tasks in order to produce satisfactory results.

The training corpus is made up of around 34,864,949 tokens (calculated with the meta-llama/Meta-Llama-3.1-8B tokenizer).

## Citing & Authors

If you use this code in your research, please use the following BibTeX entry.

```BibTeX
@misc{louisbrulenaudet2024,
  author =       {Louis Brulé Naudet},
  title =        {Romulus, continually pre-trained models for French law},
  year =         {2024}
  howpublished = {\url{https://huggingface.co/datasets/louisbrulenaudet/Romulus-cpt-fr}},
}
```

## Feedback

If you have any feedback, please reach out at [louisbrulenaudet@icloud.com](mailto:louisbrulenaudet@icloud.com).