Datasets:
| license: cc-by-4.0 | |
| task_categories: | |
| - text-generation | |
| tags: | |
| - sft | |
| - data-mentions | |
| - provenance | |
| - usage | |
| - impact | |
| - bibtex | |
| configs: | |
| - config_name: real_v2 | |
| data_files: | |
| - split: train | |
| path: real_v2/train.jsonl | |
| - split: val | |
| path: real_v2/val.jsonl | |
| - split: holdout | |
| path: real_v2/holdout.jsonl | |
| # data-use-sft v2 (config: real_v2) | |
| Multitask SFT rows derived from the v2 relabeling. Same ChatML format as | |
| `rafmacalaba/data-use-sft` (real), plus a `task` field: | |
| - `provenance` — exact-substring {producer, year, geography, acronym}; for tier1∧named | |
| mentions the assistant JSON additionally carries `bibtex` (a single @misc entry assembled | |
| from those same metadata fields) | |
| - `usage_impact` — {data_type, usage_action, impact_label, usage_summary} | |
| Splits: val+holdout = dual-pass consensus; train = single-pass (upgraded in v2.1). | |
| Only tier1/tier2 spans generate SFT rows; tier3/junk excluded by design. | |