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Svngoku/adaption-experimentalcotqa-sft

Svngoku/adaption-experimentalcotqa-sft Reference-driven SFT dataset generated with maat-hf. Structure The dataset follows Svngoku/african-history-sft with these fields: messages source_dataset source_row message_count content_hash Sources Svngoku/adaption-experimentalcotqa: 1,000 rows Split and quality controls Train rows: 960 Test rows: 40 Duplicate rows removed: 0 Invalid or incomplete rows skipped: 0 The split is… See the full description on the dataset page: https://huggingface.co/datasets/Svngoku/adaption-experimentalcotqa-sft.

sourceHugging Faceupdated 23d agoView on Hugging Face
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Svngoku/adaption-experimentalcotqa-sft

Reference-driven SFT dataset generated with maat-hf.

Structure

The dataset follows Svngoku/african-history-sft with these fields:

  • —messages
  • —source_dataset
  • —source_row
  • —message_count
  • —content_hash

Sources

  • —Svngoku/adaption-experimentalcotqa: 1,000 rows

Split and quality controls

  • —Train rows: 960
  • —Test rows: 40
  • —Duplicate rows removed: 0
  • —Invalid or incomplete rows skipped: 0

The split is deterministic and provenance is retained for every conversation.