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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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745 Bytes
metadata
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 controlsgold— 573 human-adjudicated controls (573 gold tier labels), held out for benchmarking
Source: rafmacalaba/data-use-mentions-v2 (gliner2_v2 output_meta overlay).