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YanJo199/scientific-papers-sft-v1

Scientific Papers SFT Queue Instruction-tuning style records derived from scientific paper passages for summarization and keyword extraction tasks. Splits in this repo pilot/sft_review_queue_10.jsonl: 10-item pilot split for quick validation sft_review_queue_500.jsonl: 500-item review queue Schema Each JSONL row has: task: summary or keywords instruction: task instruction input: source passage draft_output: initial target output review_status:… See the full description on the dataset page: https://huggingface.co/datasets/YanJo199/scientific-papers-sft-v1.

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Scientific Papers SFT Queue

Instruction-tuning style records derived from scientific paper passages for summarization and keyword extraction tasks.

Splits in this repo

  • —pilot/sft_review_queue_10.jsonl: 10-item pilot split for quick validation
  • —sft_review_queue_500.jsonl: 500-item review queue

Schema

Each JSONL row has:

  • —task: summary or keywords
  • —instruction: task instruction
  • —input: source passage
  • —draft_output: initial target output
  • —review_status: review state (pending in current queue)
  • —notes: free-text reviewer notes

Data quality status

  • —All rows in the current uploads parse as valid JSONL
  • —Known issue: some rows contain encoding artifacts (for example ’, Â)
  • —Recommended next step: text normalization before production fine-tuning

Intended use

  • —Pilot SFT experiments
  • —Human-in-the-loop review pipelines
  • —Dataset quality iteration before large-scale releases

Limitations

  • —Draft outputs are not fully human-validated
  • —Potential encoding artifacts can reduce model quality
  • —Domain coverage depends on source paper mix

Attribution

Maintainer: YanJo199