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.
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 validationsft_review_queue_500.jsonl: 500-item review queue
Schema
Each JSONL row has:
task:summaryorkeywordsinstruction: task instructioninput: source passagedraft_output: initial target outputreview_status: review state (pendingin 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
