|
--- |
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dataset_info: |
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features: |
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- name: ref |
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dtype: string |
|
- name: title_main |
|
dtype: string |
|
- name: texte |
|
dtype: string |
|
- name: dateDebut |
|
dtype: int64 |
|
- 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 |
|
dtype: 'null' |
|
- name: surtitre |
|
dtype: 'null' |
|
- name: nature |
|
dtype: string |
|
- name: texteHtml |
|
dtype: string |
|
- name: dateFinExtension |
|
dtype: int64 |
|
- 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 |
|
dtype: 'null' |
|
- name: renvoi |
|
dtype: 'null' |
|
- 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 |
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data_files: |
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- split: train |
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path: data/train-* |
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license: apache-2.0 |
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task_categories: |
|
- text-generation |
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language: |
|
- fr |
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tags: |
|
- legal |
|
- law |
|
- droit |
|
- fiscalité |
|
pretty_name: Romulus, continued pre-trained models for French law |
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--- |
|
|
|
<img src="assets/thumbnail.webp"> |
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|
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# Romulus, continued pre-trained models for French law. |
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Romulus is a series of continued 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. |
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|
|
The training corpus is made up of around 34,864,949 tokens (calculated with the meta-llama/Meta-Llama-3.1-8B tokenizer). |
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## Citing & Authors |
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If you use this code in your research, please use the following BibTeX entry. |
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|
```BibTeX |
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@misc{louisbrulenaudet2024, |
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author = {Louis Brulé Naudet}, |
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title = {Romulus, continued pre-trained models for French law}, |
|
year = {2024} |
|
howpublished = {\url{https://huggingface.co/datasets/louisbrulenaudet/Romulus-cpt-fr}}, |
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} |
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``` |
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## Feedback |
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If you have any feedback, please reach out at [louisbrulenaudet@icloud.com](mailto:louisbrulenaudet@icloud.com). |