README.md

---
pretty_name: BR Sovereign LLM Corpus
language:
- pt
license: apache-2.0
task_categories:
- text-generation
tags:
- brazilian-portuguese
- pretraining
- provenance
- licensed-data
size_categories:
- n<1K
configs:
- config_name: default
  data_files:
  - split: train
    path: data/documents.parquet
---

# BR Sovereign LLM Corpus

## Status

This public repository is an audited corpus protocol and initial validation
snapshot. Public release 0.1.1 contains only a small, explicitly identified
corpus sample for pipeline verification. It is not a target-scale pretraining
corpus and does not support model-quality claims.

The scientific corpus remains under construction. Aggregate counts, source
shares, and token counts are not reported until a content-addressed snapshot
passes the legal, privacy, lineage, duplicate, and contamination gates.

### Materialized validation snapshot

The underlying snapshot contains eight synthetic pt-BR documents drafted with
AI assistance for this project, reviewed and adopted for release by the project
owner. All eight records passed the production license and provenance boundary;
none was rejected, quarantined, or marked as a duplicate. This verifies the
data path but is not scientific training data.

| Artifact | SHA-256 |
|---|---|
| source JSONL | `6896439e772f212c2848846f1f908410a606d81cd8845583024c16496a07979f` |
| corpus manifest file | `afbd872b05f61ffc8acf11e436949fb760f9456a3eda62dc11a67ed1511d8841` |
| logical corpus manifest | `fcb1af582f5ded8ecbe2b67e1da2b391f3fcf17678feba6389cf4a211d82ff5d` |
| audit report file | `c99b951ab4cf79356930e3ea5fdfe8269aaa6cbc7142fa6c26a054ce32f02d9e` |
| logical audit report | `af0dbeb4f1f75e3dce14bc5f317b584bcd4b7a662e48c2365f11efe484ed0711` |
| Parquet file | `e2b5d4c01739e92240cfe99e6dccebce3903729d083e61e86afa37f6dd86c8a2` |

The snapshot is published with its Parquet file, source JSONL, source and
license registries, audit report, and content-addressed manifest.

## Dataset purpose

The dataset supports research on from-scratch Brazilian Portuguese
language-model pretraining under document-level rights and provenance controls.
Every publishable record must link its normalized text to:

- a canonical source and source revision;
- a raw snapshot hash;
- a rights basis and exact license when applicable;
- a digest of the rights assertion and, for scientific records, the archived
  evidence bytes and media type;
- attribution and share-alike requirements;
- an ordered transformation chain;
- language variant, domain, stable group, and split;
- PII, third-party-content, and takedown decisions.

Public availability alone is not sufficient. Missing, unknown, noncommercial,
and no-derivatives rights fail closed.

## Initial source policy

Eligible source families are:

- dated official Portuguese Wikimedia dumps under applicable CC BY-SA terms;
- verified Portal da OBMEP items under CC BY 3.0 Brazil;
- Brazilian official acts covered by Article 8(IV) of Law 9,610/1998;
- ProEdu items with exact CC0, CC BY, or CC BY-SA terms;
- SciELO Brasil articles with exact item-level CC BY 4.0 terms.

The initial release rejects aggregate ingestion from BrWaC, Carolina, CulturaX,
mC4, OSCAR, HPLT, Common Crawl, GigaVerbo, GigaVerbo-v2, and mixed LegalPT
collections. Those packages do not by themselves establish a homogeneous
rights chain for the underlying text.

## Published fixture schema

The Parquet file in this release contains exactly these columns:

`document_id`, `text`, `normalized_content_sha256`, `split`,
`normalization_id`, `source_id`, `source_url`, `canonical_url`, `retrieved_at`,
`license_id`, `rights_basis`, `attribution_text`, `creator`, `publisher`,
`publication_date`, `source_revision_id`, `source_snapshot_sha256`,
`contains_third_party`, `pii_status`, `provenance_sha256`, and `evidence`.

## Planned scientific-corpus contract

The future scientific corpus is planned to include the following core fields.
This table is a contract for a later release, not a description of additional
columns hidden in the current fixture:

| Field | Meaning |
|---|---|
| document_id | stable source and revision identifier |
| group_id | split-safe work or revision family |
| text | normalized training text |
| source_id | audited source-registry identifier |
| source_url | acquired record URL |
| canonical_url | authoritative public identity |
| source_revision_id | immutable source revision |
| source_snapshot_sha256 | acquired snapshot digest |
| raw_content_sha256 | raw item digest |
| normalized_content_sha256 | normalized text digest |
| language | BCP 47 language tag |
| language_variant | Brazilian, European, mixed, or undetermined |
| domain | registered content domain |
| rights_basis | license, statutory exclusion, or other reviewed basis |
| license_spdx | exact SPDX expression where applicable |
| license_url | authoritative license text |
| evidence_url | rights evidence |
| license_evidence_sha256 | digest of the recorded evidence assertion |
| attribution_text | required attribution |
| transformation_chain | ordered versioned transformations |
| split | deterministic group-aware split |
| pii_status | personal-data review state |
| takedown_status | active, quarantined, or removed |

Additional fields are documented in the research repository. A record missing a
required release field is rejected.

## Licensing

Public release 0.1.1 contains only the eight project-controlled synthetic
fixtures. The owner releases them under Apache-2.0 to the extent of his rights;
AI-assisted text may not be unique. No third-party corpus record is present.

A future mixed scientific corpus will use source-specific terms and must not be
added under this blanket metadata. Wikimedia, Creative Commons, and statutory
source records would retain their applicable terms and attribution. Model-weight
licensing remains a separate decision.

## Processing

The registered flow is:

1. immutable source acquisition and hashing;
2. rights-evidence validation;
3. text extraction;
4. lossless NFC and control-character normalization;
5. language, quality, PII, and policy classification;
6. exact and near duplicate detection;
7. benchmark decontamination;
8. deterministic group-aware splitting;
9. license-separated Parquet release;
10. content-addressed token-shard construction.

Every transformation records code version, parameters, input digest, and output
digest.

## Limitations

- The current sample is too small and too synthetic for language modeling.
- Registry statement hashes are tamper-evident metadata, not independent legal
  proof. Scientific records additionally require hashes of archived source or
  license bytes before inclusion.
- Automated PII, language, and duplicate checks are imperfect.
- A source-family allowlist does not replace item-level review.
- Share-alike effects on any future combined release require final legal review.
- Takedowns create new corpus revisions and may affect future model releases.
- The current eight-document fixture has no external benchmark content and no
  observed personal data; this does not validate future corpus content.

## Maintenance

Initial author and maintainer:

Guilherme Monteiro, FIAP  
ORCID: <https://orcid.org/0009-0008-5294-224X>

For correction, attribution, or withdrawal requests, open a Community
discussion in this Hugging Face repository and cite the commit, document ID,
and requested action. Do not post sensitive personal data; request a private
follow-up when necessary. A credible urgent report can cause the repository to
be hidden during review. Confirmed changes receive a new version and manifest.

The scoped approval and rights review are published in
`PUBLICATION_REVIEW.md`; the machine-readable removal history is
`takedown-ledger.json`.