Add README.md (2,422,667 pairs, conf>=0.5)

README.md

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+---
+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.