Datasets:
File size: 3,176 Bytes
586d050 aad5930 586d050 802730d aad5930 586d050 aad5930 9ce9f85 586d050 aad5930 3970a76 aad5930 3970a76 aad5930 4ca3995 aad5930 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 |
---
dataset_info:
features:
- name: ref
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
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). |