Datasets:

cidjeu
/

french-moore-parallel-conf-ge-0.5

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.