# tian_mira_site_audit_v0 — Public Bundle IA

**Généré le** : 2026-06-15T20:47:43Z
**Moteur** : data-nouveau (privé)
**Format principal** : Parquet

## Contenu du bundle

- `citations/citation.md`
- `citations/limitations.md`
- `citations/method.md`
- `data/dataset.parquet`
- `datapackage.json`
- `metadata/sources.meta.json`
- `reports/atoms_qa.json`
- `reports/auto_manifest.json`
- `reports/auto_manifest_trace.json`
- `reports/empty_columns.json`
- `reports/entity_id_duplicates_analysis.json`
- `reports/final_proof.json`
- `reports/geo_regions_fr.json`
- `reports/geo_summary_contract.json`
- `reports/guards_summary.json`
- `reports/lookup_report.json`
- `reports/manifest_patch.fusion.json`
- `reports/policy_seal.json`
- `reports/publication_roles.json`
- `reports/qa.json`
- `reports/qa_gate.json`
- `reports/qa_summary.json`
- `reports/quality_gate.json`
- `reports/quality_report.json`
- `reports/records_qa.json`
- `reports/run_config.json`
- `reports/run_proofs.json`
- `reports/run_summary.json`
- `reports/schema_drift.json`
- `reports/schema_drift_summary.json`
- `reports/site_audit_qa.json`
- `samples/sample.csv`
- `samples/sample.ndjson`

## Structure

```
data/          — Données principales (dataset.parquet)
samples/       — Échantillons légers (sample.csv, sample.ndjson)
reports/       — Rapports QA (quality_report.json, qa_gate.json)
metadata/      — Métadonnées (public_index.json, sources.meta.json, datapackage.json)
citations/     — Citation, méthode, limitations
checksums/     — SHA256SUMS
```

## Utilisation

### Python / Pandas
```python
import pandas as pd
df = pd.read_parquet("data/dataset.parquet")
```

### DuckDB
```sql
SELECT * FROM read_parquet('data/dataset.parquet') LIMIT 10;
```

## Licence et citation
Voir `citations/citation.md` pour les instructions de citation.
Les licences des sources sont documentées dans `metadata/sources.meta.json`.