rafmacalaba/data-use-sft-v2
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… See the full description on the dataset page: https://huggingface.co/datasets/rafmacalaba/data-use-sft-v2.
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 carriesbibtex(a single @misc entry assembled from those same metadata fields)usage_impact— {datatype, usageaction, impactlabel, usagesummary}
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.