Datasets:

SpadaLab
/

pack-accessibilite-pmr

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
datasheet_version: string
datasheet_format: string
publisher: string
publisher_contact: string
pack_id: string
pack_nom: string
pack_slug: string
pack_version: string
date_generation_datasheet: timestamp[s]
date_build_pack: string
1_motivation: struct<creation: string, createur: string, public_cible: string, cas_usage: list<item: string>>
  child 0, creation: string
  child 1, createur: string
  child 2, public_cible: string
  child 3, cas_usage: list<item: string>
      child 0, item: string
2_composition: struct<type_donnees: string, metriques: struct<chunks_full: int64, articles_uniques: int64, codes_te (... 421 chars omitted)
  child 0, type_donnees: string
  child 1, metriques: struct<chunks_full: int64, articles_uniques: int64, codes_textes_distincts: int64, tokens_total: int (... 76 chars omitted)
      child 0, chunks_full: int64
      child 1, articles_uniques: int64
      child 2, codes_textes_distincts: int64
      child 3, tokens_total: int64
      child 4, tokens_par_chunk_moyen: int64
      child 5, collections_incluses: list<item: string>
          child 0, item: string
  child 2, periode_temporelle: struct<date_publication_min: timestamp[s], date_publication_max: timestamp[s], filtre_etat: string>
      child 0, date_publication_min: timestamp[s]
      child 1, date_publication_max: timestamp[s]
      child 2, filtre_etat: string
  child 3, schema: list<item: string>
      child 0, item: string
  child 4, sources: list<item: struct<id: string, nom: string, url
...
<item: string>
      child 0, item: string
6_maintenance: struct<frequence_mise_a_jour: string, delai_publication_apres_jo: string, contact_support: string, g (... 54 chars omitted)
  child 0, frequence_mise_a_jour: string
  child 1, delai_publication_apres_jo: string
  child 2, contact_support: string
  child 3, gestion_versions: string
  child 4, versions_anterieures: string
7_usages_recommandes_et_deconseilles: struct<recommandes: list<item: string>, deconseilles: list<item: string>, limites_explicites: string (... 21 chars omitted)
  child 0, recommandes: list<item: string>
      child 0, item: string
  child 1, deconseilles: list<item: string>
      child 0, item: string
  child 2, limites_explicites: string
  child 3, disclaimer: string
8_aspects_legaux: struct<droit_applicable: string, rgpd: string, droit_sui_generis_bdd: string>
  child 0, droit_applicable: string
  child 1, rgpd: string
  child 2, droit_sui_generis_bdd: string
9_integrite: struct<hash_algorithme: string, hash_full_parquet: string, hash_metadata_json: string>
  child 0, hash_algorithme: string
  child 1, hash_full_parquet: string
  child 2, hash_metadata_json: string
version: string
slug: string
files: list<item: struct<path: string, size_bytes: int64, sha256: string>>
  child 0, item: struct<path: string, size_bytes: int64, sha256: string>
      child 0, path: string
      child 1, size_bytes: int64
      child 2, sha256: string
hash_algorithme: string
manifest_generated_at: string
files_count: int64
to
{'pack_id': Value('string'), 'pack_nom': Value('string'), 'slug': Value('string'), 'version': Value('string'), 'manifest_generated_at': Value('string'), 'hash_algorithme': Value('string'), 'files': List({'path': Value('string'), 'size_bytes': Value('int64'), 'sha256': Value('string')}), 'files_count': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              datasheet_version: string
              datasheet_format: string
              publisher: string
              publisher_contact: string
              pack_id: string
              pack_nom: string
              pack_slug: string
              pack_version: string
              date_generation_datasheet: timestamp[s]
              date_build_pack: string
              1_motivation: struct<creation: string, createur: string, public_cible: string, cas_usage: list<item: string>>
                child 0, creation: string
                child 1, createur: string
                child 2, public_cible: string
                child 3, cas_usage: list<item: string>
                    child 0, item: string
              2_composition: struct<type_donnees: string, metriques: struct<chunks_full: int64, articles_uniques: int64, codes_te (... 421 chars omitted)
                child 0, type_donnees: string
                child 1, metriques: struct<chunks_full: int64, articles_uniques: int64, codes_textes_distincts: int64, tokens_total: int (... 76 chars omitted)
                    child 0, chunks_full: int64
                    child 1, articles_uniques: int64
                    child 2, codes_textes_distincts: int64
                    child 3, tokens_total: int64
                    child 4, tokens_par_chunk_moyen: int64
                    child 5, collections_incluses: list<item: string>
                        child 0, item: string
                child 2, periode_temporelle: struct<date_publication_min: timestamp[s], date_publication_max: timestamp[s], filtre_etat: string>
                    child 0, date_publication_min: timestamp[s]
                    child 1, date_publication_max: timestamp[s]
                    child 2, filtre_etat: string
                child 3, schema: list<item: string>
                    child 0, item: string
                child 4, sources: list<item: struct<id: string, nom: string, url
              ...
              <item: string>
                    child 0, item: string
              6_maintenance: struct<frequence_mise_a_jour: string, delai_publication_apres_jo: string, contact_support: string, g (... 54 chars omitted)
                child 0, frequence_mise_a_jour: string
                child 1, delai_publication_apres_jo: string
                child 2, contact_support: string
                child 3, gestion_versions: string
                child 4, versions_anterieures: string
              7_usages_recommandes_et_deconseilles: struct<recommandes: list<item: string>, deconseilles: list<item: string>, limites_explicites: string (... 21 chars omitted)
                child 0, recommandes: list<item: string>
                    child 0, item: string
                child 1, deconseilles: list<item: string>
                    child 0, item: string
                child 2, limites_explicites: string
                child 3, disclaimer: string
              8_aspects_legaux: struct<droit_applicable: string, rgpd: string, droit_sui_generis_bdd: string>
                child 0, droit_applicable: string
                child 1, rgpd: string
                child 2, droit_sui_generis_bdd: string
              9_integrite: struct<hash_algorithme: string, hash_full_parquet: string, hash_metadata_json: string>
                child 0, hash_algorithme: string
                child 1, hash_full_parquet: string
                child 2, hash_metadata_json: string
              version: string
              slug: string
              files: list<item: struct<path: string, size_bytes: int64, sha256: string>>
                child 0, item: struct<path: string, size_bytes: int64, sha256: string>
                    child 0, path: string
                    child 1, size_bytes: int64
                    child 2, sha256: string
              hash_algorithme: string
              manifest_generated_at: string
              files_count: int64
              to
              {'pack_id': Value('string'), 'pack_nom': Value('string'), 'slug': Value('string'), 'version': Value('string'), 'manifest_generated_at': Value('string'), 'hash_algorithme': Value('string'), 'files': List({'path': Value('string'), 'size_bytes': Value('int64'), 'sha256': Value('string')}), 'files_count': Value('int64')}
              because column names don't match

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SpadaLab — Accessibilité PMR

Donnees juridiques francaises pre-traitees et structurees, pretes pour l'integration dans des systemes RAG (Retrieval-Augmented Generation).

Produites par SpadaLab a partir de sources officielles (Legifrance, EUR-Lex).

Utilisation

from datasets import load_dataset

ds = load_dataset("SpadaLab/pack-accessibilite-pmr")

# Parcourir les chunks
for chunk in ds["train"]:
    print(chunk["titre_article"], "—", chunk["text"][:200])

Statistiques

Metrique	Valeur
Chunks totaux	194
Tokens estimes	63,766
Collections	1
Sources	1
Langue	Francais
Date d'export	2026-04-13

Par collection

Collection	Chunks	Tokens estimes
`accessibilite_pmr`	194	63766

Structure des donnees

Chaque ligne (chunk) contient :

Champ	Type	Description
`chunk_id`	string	Identifiant unique MD5
`text`	string	Texte du chunk
`article_id`	string	ID article source (Legifrance/EUR-Lex)
`chunk_index`	int	Index du chunk dans l'article
`total_chunks`	int	Nombre total de chunks pour cet article
`source`	string	Origine : `legifrance`, `eurlex`, `pdf`
`code_source`	string	Nom du code ou document source
`titre_article`	string	Reference de l'article (ex: L111-1)
`hierarchie`	list	Chemin hierarchique dans le code
`date_publication`	int	Timestamp de publication
`etat`	string	Etat juridique (VIGUEUR)
`categorie`	string	Collection d'appartenance
`celex`	string	Numero CELEX (EUR-Lex uniquement)
`source_tag`	string	Tag source (PDF uniquement)
`context_prefix`	string	Prefixe hierarchique lisible
`token_count`	int	Estimation du nombre de tokens

Sources

Textes LODA (accessibilité personnes handicapées établissement recevant public, accessibilité bâtiment neuf, accessibilité bâtiment existant...)

Licence

Ce dataset est distribue sous licence Creative Commons Attribution 4.0 International (CC-BY-4.0) — reutilisation libre, y compris commerciale, sous reserve de mentionner SpadaLab comme auteur du travail de structuration. Voir LICENSE.md.

Texte integral : https://creativecommons.org/licenses/by/4.0/legalcode.fr
Resume lisible : https://creativecommons.org/licenses/by/4.0/deed.fr

Sources d'origine

Les textes integres dans le pack restent sous leur licence d'origine, qui est sans effet sur les droits SpadaLab :

Textes Legifrance : Licence Ouverte Etalab 2.0 (reutilisation commerciale autorisee avec attribution)

Citation

@misc{spadalab_accessibilite_20260413,
  title = {SpadaLab Accessibilité PMR},
  author = {SpadaLab},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/SpadaLab/pack-accessibilite-pmr}
}

Contact

Site : https://spadalab.fr
Email : contact@spadalab.fr

Éditeur

Benoît Doreau — entrepreneur individuel (EI), exerçant sous le nom commercial SpadaLab.

Champ	Valeur
SIREN	103 696 993
Code APE	63.11Z
Inscription	RNE (INPI), depuis le 25 avril 2026
Siège	28 rue du Pré Brûlé, 94440 Santeny, France

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Total file size:

154 kB

Collection including SpadaLab/pack-accessibilite-pmr

Packs SpadaLab - Droit francais (CC-BY-4.0, gratuit)

Collection

4 packs juridiques francais complets (Legifrance/EUR-Lex), structures pour RAG. Publies gratuitement sous licence CC-BY-4.0. • 4 items • Updated 7 days ago