---
language:
  - fr
  - mos
license: other
task_categories:
  - translation
pretty_name: French–Mooré Parallel Corpus (confidence ≥ 0.5)
size_categories:
  - 1M<n<10M
tags:
  - moore
  - mossi
  - mooré
  - french
  - parallel-corpus
  - low-resource
  - glosbe
  - high-confidence
configs:
  - config_name: default
    data_files:
      - split: train
        path: fr-mos-validated-conf-ge-0.5.parquet
---

# French → Mooré (confidence ≥ 0.5)

Subset of the full French–Mooré validated parallel corpus restricted to pairs with
**`translation_confidence >= 0.5`**.

## Snapshot

| Field | Value |
|-------|------:|
| Pairs in this subset | ~2.42 million |
| Filter | `translation_confidence >= 0.5` |
| Source language | French |
| Target language | Mooré (Mossi) |
| Translator | Glosbe public MT |
| Parent dataset | full validated export (confidence floor ~0.35) |

## Files

- `fr-mos-validated-conf-ge-0.5.jsonl`
- `fr-mos-validated-conf-ge-0.5.parquet`

## Schema

Same as the full corpus: `id`, `source_domain`, `source_url`, `crawl_date`,
`french`, `moore`, `translator`, `translation_confidence`, `complexity_score`,
`quality_score`.

## Notes

- Automatic MT; not fully human-reviewed.
- This subset is higher-confidence than the full validated dump but still noisy.
- Prefer this split when you want a stricter automatic quality cut at 0.5.