finaleads/french-corpus-llm-sample

French Corpus LLM — Sample 500 (v1.2.0)

FINALEADS LLC builds compliance-ready training datasets for French regulated industries. We turn 2+ billion tokens of French finance, regulatory, and economic open data into audit-trailed, pseudonymized, AI Act Article 10-documented shares — so foundation model and regtech teams can ship into European enterprises without a data-lineage gap.

This is a public sample of 500 stratified documents drawn from the French Premium Web Corpus v1.2.0 release. It is intended for evaluation: format, structure, content quality, license posture, and provenance documentation. The full corpus (~2 million documents / ~2.4 billion tokens) is available under separate terms.

Available on Snowflake Marketplace

Try the full Limited Trial inside Snowflake — 50,000 stratified documents, 7-day evaluation, queryable in-place via a secure share, no download required, auto-fulfilled across all regions :

→ FINALEADS LLC · French Premium Web Corpus — Finance, Regulation & Economic Edition

• Brand site: https://www.frenchcorpus.com
• Provider: FINALEADS LLC
• Release: fpwc-v1.2.0-2026-05-15
• Specification: see DATASET_SPECIFICATION_signed.pdf (PAdES PKCS#7 self-signed, RSA-4096, SHA-256 344d8123ae85f60a88b2bc94d61d6ca14bbcf373063d8cf760d3b7e1b20467e9)
• Contact: support@finaleads.com

Dataset summary

500 documents in French covering statute, jurisprudence, regulator doctrine, and EU-origin legal text. Each document includes the cleaned plain text plus 34 structured fields:

• Identification: id (SHA-1 of content), source, upstream_id, url
• Text: text (UTF-8 plain), extracted_at
• Language: lang (fra_Latn), lang_score
• Length: n_chars, n_words, n_sents, n_tokens_est
• Quality (stage 2 CPU): avg_word_len, type_token_ratio, upper_ratio, digit_ratio, punct_ratio, line_density, repetition_4gram, repetition_line, boilerplate_score, lexique3_ratio, kenlm_perplexity, quality_score, quality_tier
• Topical labels (stage 3): is_finance_topical (bool), sub_vertical (regtech / risque / fiscalite / macro / corporate / autre)
• LLM-judge labels (stage 4): llm_coherence, llm_legal_density, llm_ai_slop, llm_finance_value, llm_toxicity, llm_score_composite, llm_tier, llm_raw

See DATA_DICTIONARY.md for the per-field schema and STATS.md for aggregate counts on the sample.

Source distribution in this sample

Source	Docs	Description
legifrance_jorf	230	Journal officiel de la République française (laws, decrees, orders)
jade	117	Conseil d'État administrative court rulings
eurlex_fr	56	EU regulations and directives in French translation
kali	55	National collective bargaining agreements (articles)
cass	29	Cour de cassation judicial rulings
legifrance_legi	9	Consolidated French codes (Civil, Commercial, Monetary, Tax...)
bofip	3	DGFiP tax doctrine
constit	1	Conseil constitutionnel decision
Total	500

The full v1.2.0 corpus covers 14 sources including additional regulator publications (ACPR, AMF, Banque de France, DG Trésor) and EUR-Lex post-2022 content. The v1.3 release (planned mid-2026) adds CNIL deliberations (5,837 GDPR / AI Act doctrine documents), full DG Trésor (~20K articles), full Banque de France publications, and AMF Priority 1 doctrine.

Provenance and licensing

All source data is published under the French Licence Ouverte 2.0 (etalab-2.0), which is compatible with CC-BY-4.0 and the EU reuse policy. See LICENSE_per_source.md for the per-source license declarations.

The sample is shipped under etalab-2.0. You may use it for any purpose including commercial use, provided you attribute FINALEADS LLC and the upstream sources.

EU AI Act Article 10 disclosure

This sample ships with documentation supporting the data governance obligations of Article 10 of the EU AI Act:

• Per-document provenance: every record carries source, upstream_id, and url pointing to the canonical authority publication.
• Quality scoring methodology: stage 2 CPU scoring (quality_score, quality_tier) and stage 4 LLM-judge scoring (llm_* fields) are documented in DATA_DICTIONARY.md.
• Topical labelling: documents are classified as is_finance_topical and assigned a sub_vertical (regtech / risque / fiscalite / macro / corporate / autre) with the methodology documented in the Dataset Specification.
• Deduplication: cross-source MinHash LSH at Jaccard threshold 0.7 with k=5 shingles. Drop rates per source are published in DATASET_SPECIFICATION_signed.pdf.
• Signed Dataset Specification: the bundled PDF is PAdES PKCS#7 self-signed, RSA-4096, with the SHA-256 hash published on this card and on the brand site.

GDPR pseudonymization disclosure

The v1.2.0 release introduced per-document pseudonymization of personal names in regulator decisions (initially applied to the ACPR source — 182 documents, 2,462 unique persons, 3,277 substitutions). Persons are replaced with bracketed aliases ([P1], [P2], ...) with numbering reset per document. Companies, places, and article references are preserved.

This 500-document sample does not include any ACPR document (sampling is stratified across the 8 highest-volume sources in v1.2.0). Pseudonymization examples are visible in the full corpus and will be shown in the v1.3 release sample, which adds CNIL deliberations.

For the methodology, see the section "ACPR pseudonymization (GDPR safety layer)" in DATASET_SPECIFICATION_signed.pdf.

Loading

from datasets import load_dataset

ds = load_dataset("finaleads/french-corpus-llm-sample", split="sample")
print(ds[0]["text"][:500])
print("source:", ds[0]["source"])
print("quality_tier:", ds[0]["quality_tier"])
print("llm_tier:", ds[0]["llm_tier"])

Or with raw jsonlines:

import json
docs = [json.loads(line) for line in open("sample.jsonl", encoding="utf-8")]
print(f"{len(docs)} docs")

Use cases

• Evaluation of French regulatory retrievers (RAG, dense + sparse hybrid)
• Domain-specific SFT data construction for French legal / finance LLMs
• Citation-bearing question answering benchmarks on French statutes and case law
• Comparative analysis of regulator doctrine across institutions
• Data quality methodology research (stage 2 + LLM-judge fields exposed)

Limitations

• 500-document subset, not a training corpus. Use this sample for format and quality evaluation; the full corpus is sized for training and refresh.
• Stratified across 8 sources — CNIL, ACPR, AMF, Banque de France, BOFiP, DG Trésor are under-represented or absent in this sample (volume in v1.2.0 was low for some; v1.3 expands them significantly).
• EU regulations through 2022 only in eurlex_fr — post-2022 content (DORA, MiCA, AI Act, CSRD) is being extracted for v1.3 via the Cellar API.
• Pseudonymization scope: applied to ACPR documents only in v1.2.0. The sample does not contain ACPR. v1.3 will extend pseudonymization to CNIL and judicial sources.
• No embeddings shipped in v1.2.0. Pre-computed E5-multilingual embeddings are planned for v1.3.

v1.3 roadmap (planned mid-2026)

• CNIL deliberations (5,837 substantive documents 1979–2025, pseudonymized) — the largest open source of GDPR + AI Act doctrine in French
• DG Trésor full archive (~20,000 articles — Trésor-Éco letters, briefs, thematic notes)
• Banque de France full publication set (~4,500+ articles — Bulletin, Working Papers, Financial Stability Reviews, projections)
• AMF Priority 1 (~5,000 documents — regulations, sanctions, research)
• Pre-computed embeddings (E5-multilingual-large, 1024-dim, INT8 quantized)
• Semantic changelog per release

Citation

@misc{finaleads_french_corpus_llm_2026_sample,
  author       = {FINALEADS LLC},
  title        = {French Corpus LLM --- Sample 500 (v1.2.0)},
  year         = {2026},
  month        = {may},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/datasets/finaleads/french-corpus-llm-sample},
  note         = {AI Act Article 10 signed Dataset Specification SHA-256 344d8123ae85f60a88b2bc94d61d6ca14bbcf373063d8cf760d3b7e1b20467e9}
}

Provider

FINALEADS LLC — premium training datasets for French regulated industries.

• Brand site: https://www.frenchcorpus.com
• Support contact: support@finaleads.com
• Compliance contact: compliance@finaleads.com

For evaluation, the Limited Trial (50,000 docs, 7-day window, free) is live on the Snowflake Marketplace : https://app.snowflake.com/marketplace/listing/GZTWZRWEJ2

For full-corpus access (~2M documents / ~2.4B tokens, paid subscription, quarterly refresh), see https://www.frenchcorpus.com/product/ or contact support@finaleads.com.