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Download README.md from rafmacalaba/data-use-evidence-classifier-data: direct link, hf CLI and curl.
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https://huggingface.co/datasets/rafmacalaba/data-use-evidence-classifier-data/resolve/main/README.md
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hf download hf://datasets/rafmacalaba/data-use-evidence-classifier-data/README.md
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curl -L -o README.md https://huggingface.co/datasets/rafmacalaba/data-use-evidence-classifier-data/resolve/main/README.md
745 Bytes
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: train.jsonl | |
| - split: gold | |
| path: gold.jsonl | |
| license: apache-2.0 | |
| # data-use-evidence-classifier-data | |
| Training corpus for the evidence-tier classifier (v3): 62,054 data-use mention | |
| spans (marked `>>> mention <<<` in context) with luna-judged tiers | |
| (tier1_evidential / tier2_declaration / tier3_nonmention / junk), distilled from | |
| `rafmacalaba/data-use-mentions-v2` (val + holdout dual-pass + train-top single-pass). | |
| - `train` — 62,054 spans, decontaminated against the gold controls | |
| - `gold` — 573 human-adjudicated controls (573 gold tier labels), held out for benchmarking | |
| Source: `rafmacalaba/data-use-mentions-v2` (gliner2_v2 `output_meta` overlay). | |