RegalFire commited on
Commit
4a0c408
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Publish verified RegalFire scientific product v2

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COMMERCIAL_EXTENSION.md ADDED
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+ # RegalFire custom/private extension
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+
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+ Private candidate pools, expert relevance labels, answer-ranking schemas and custom source-group holdout evaluations.
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+
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+ Ideal buyer: Retrieval/reranking teams and scientific assistant evaluators.
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+
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+ Pilot inputs: licensed client/source material, schema, target application/model, evaluation protocol and definition of success. Deliverables can include documented ingestion, deterministic QA checks, curated schemas, domain-specific cases and private holdout suites.
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+
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+ Private evaluations require private source material; public forum cases do not become confidential by repackaging. Expert judgement labels, citation correctness and executable code oracles require explicit client inputs and separate validation. Continuous ingestion depends on API terms/quota and change/deletion policy.
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+
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+ No clients, revenue, production deployments or market prices are asserted.
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+
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+ Contact: ootiris@gmail.com
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+ Hugging Face: RegalFire
LICENSE ADDED
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+ Source current posts and RegalFire original packaging/code: CC BY-SA 4.0 International.
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+ https://creativecommons.org/licenses/by-sa/4.0/legalcode
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+ Preserve per-post and per-revision licenses, contributor names/profile links, titles and source URLs.
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+ Source contributor ownership is retained. No endorsement by Stack Exchange or source authors is implied.
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+ External referenced assets may carry separate rights; no paper or image assets are repackaged.
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+ {
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+ "score_scale": "Editorial 0\u201310; build-cost efficiency higher means cheaper. Not measured customer demand. Licensing/source completeness is a publication gate independent of score.",
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+ "factors": [
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+ "research_usefulness",
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+ "commercial_usefulness",
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+ "record_quality",
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+ "ground_truth_strength",
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+ "licensing_clarity",
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+ "volume",
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+ "novelty",
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+ "validation_strength",
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+ "source_diversity",
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+ "build_cost_efficiency"
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+ ],
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+ "candidates": [
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+ {
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+ "name": "Scientific-Citation-Graph",
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+ "research_usefulness": 8,
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+ "commercial_usefulness": 9,
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+ "record_quality": 8,
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+ "ground_truth_strength": 7,
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+ "licensing_clarity": 10,
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+ "volume": 6,
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+ "novelty": 8,
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+ "validation_strength": 9,
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+ "source_diversity": 9,
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+ "build_cost_efficiency": 8,
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+ "total": 82,
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+ "selected": true,
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+ "reason": "888 mechanical reference edges with literal context and full source attribution.",
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+ "actual_records": 888
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+ },
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+ {
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+ "name": "Scientific-Answer-Ranking",
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+ "research_usefulness": 9,
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+ "commercial_usefulness": 9,
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+ "record_quality": 8,
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+ "ground_truth_strength": 6,
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+ "licensing_clarity": 10,
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+ "volume": 4,
41
+ "novelty": 8,
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+ "validation_strength": 9,
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+ "source_diversity": 9,
44
+ "build_cost_efficiency": 8,
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+ "total": 80,
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+ "selected": true,
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+ "reason": "73 genuinely multi-answer threads; community signals explicitly separated from truth.",
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+ "actual_records": 73
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+ },
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+ {
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+ "name": "Scientific-RAG-HardCases",
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+ "research_usefulness": 9,
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+ "commercial_usefulness": 9,
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+ "record_quality": 8,
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+ "ground_truth_strength": 5,
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+ "licensing_clarity": 10,
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+ "volume": 5,
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+ "novelty": 8,
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+ "validation_strength": 9,
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+ "source_diversity": 9,
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+ "build_cost_efficiency": 8,
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+ "total": 80,
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+ "selected": true,
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+ "reason": "258 property-selected cases; no invented correct-answer label.",
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+ "actual_records": 258
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+ },
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+ {
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+ "name": "Scientific-Code-and-Analysis-QA",
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+ "research_usefulness": 9,
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+ "commercial_usefulness": 9,
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+ "record_quality": 8,
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+ "ground_truth_strength": 5,
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+ "licensing_clarity": 10,
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+ "volume": 4,
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+ "novelty": 8,
76
+ "validation_strength": 9,
77
+ "source_diversity": 9,
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+ "build_cost_efficiency": 8,
79
+ "total": 79,
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+ "selected": true,
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+ "reason": "72 threads and 174 exact preformatted scientific code blocks; no execution/correctness claim.",
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+ "actual_records": 72
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+ },
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+ {
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+ "name": "Scientific-Statistics-QA",
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+ "research_usefulness": 9,
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+ "commercial_usefulness": 8,
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+ "record_quality": 8,
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+ "ground_truth_strength": 5,
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+ "licensing_clarity": 10,
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+ "volume": 4,
92
+ "novelty": 6,
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+ "validation_strength": 9,
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+ "source_diversity": 4,
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+ "build_cost_efficiency": 8,
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+ "total": 71,
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+ "selected": true,
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+ "reason": "89 source-grounded QA threads; statistical methods/retrieval pilot.",
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+ "actual_records": 89
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+ },
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+ {
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+ "name": "Scientific-Computational-Methods-QA",
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+ "research_usefulness": 8,
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+ "commercial_usefulness": 8,
105
+ "record_quality": 8,
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+ "ground_truth_strength": 5,
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+ "licensing_clarity": 10,
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+ "volume": 4,
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+ "novelty": 5,
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+ "validation_strength": 9,
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+ "source_diversity": 4,
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+ "build_cost_efficiency": 8,
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+ "total": 69,
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+ "selected": false,
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+ "reason": "Valid source exists, but a separate site-only QA duplicates the more distinctive code product.",
116
+ "actual_records": null
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+ },
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+ {
119
+ "name": "Scientific-Methodology-QA",
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+ "research_usefulness": 8,
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+ "commercial_usefulness": 8,
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+ "record_quality": 5,
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+ "ground_truth_strength": 3,
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+ "licensing_clarity": 10,
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+ "volume": 4,
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+ "novelty": 3,
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+ "validation_strength": 5,
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+ "source_diversity": 7,
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+ "build_cost_efficiency": 4,
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+ "total": 57,
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+ "selected": false,
132
+ "reason": "No precise deterministic methodological-topic subset defined; avoid vague ontology labels.",
133
+ "actual_records": null
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+ },
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+ {
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+ "name": "Scientific-DataScience-QA",
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+ "research_usefulness": 9,
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+ "commercial_usefulness": 9,
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+ "record_quality": 0,
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+ "ground_truth_strength": 0,
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+ "licensing_clarity": 6,
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+ "volume": 0,
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+ "novelty": 5,
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+ "validation_strength": 0,
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+ "source_diversity": 3,
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+ "build_cost_efficiency": 2,
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+ "total": 34,
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+ "selected": false,
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+ "reason": "Useful fit but collection not started: shared API quota 12, reserve 10.",
150
+ "actual_records": null
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+ },
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+ {
153
+ "name": "Scientific-Chemistry-QA",
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+ "research_usefulness": 8,
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+ "commercial_usefulness": 8,
156
+ "record_quality": 0,
157
+ "ground_truth_strength": 0,
158
+ "licensing_clarity": 6,
159
+ "volume": 0,
160
+ "novelty": 6,
161
+ "validation_strength": 0,
162
+ "source_diversity": 3,
163
+ "build_cost_efficiency": 2,
164
+ "total": 33,
165
+ "selected": false,
166
+ "reason": "No independently approved question/answer/revision corpus.",
167
+ "actual_records": null
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+ },
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+ {
170
+ "name": "Scientific-Physics-QA",
171
+ "research_usefulness": 9,
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+ "commercial_usefulness": 7,
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+ "record_quality": 0,
174
+ "ground_truth_strength": 0,
175
+ "licensing_clarity": 6,
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+ "volume": 0,
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+ "novelty": 6,
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+ "validation_strength": 0,
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+ "source_diversity": 3,
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+ "build_cost_efficiency": 2,
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+ "total": 33,
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+ "selected": false,
183
+ "reason": "No independently approved question/answer/revision corpus.",
184
+ "actual_records": null
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+ },
186
+ {
187
+ "name": "Scientific-Astronomy-QA",
188
+ "research_usefulness": 8,
189
+ "commercial_usefulness": 6,
190
+ "record_quality": 0,
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+ "ground_truth_strength": 0,
192
+ "licensing_clarity": 6,
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+ "volume": 0,
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+ "novelty": 6,
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+ "validation_strength": 0,
196
+ "source_diversity": 3,
197
+ "build_cost_efficiency": 2,
198
+ "total": 31,
199
+ "selected": false,
200
+ "reason": "No independently approved question/answer/revision corpus.",
201
+ "actual_records": null
202
+ },
203
+ {
204
+ "name": "Scientific-Math-QA",
205
+ "research_usefulness": 9,
206
+ "commercial_usefulness": 7,
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+ "record_quality": 0,
208
+ "ground_truth_strength": 0,
209
+ "licensing_clarity": 6,
210
+ "volume": 0,
211
+ "novelty": 3,
212
+ "validation_strength": 0,
213
+ "source_diversity": 3,
214
+ "build_cost_efficiency": 2,
215
+ "total": 30,
216
+ "selected": false,
217
+ "reason": "Large public source, but no verified complete corpus in this run.",
218
+ "actual_records": null
219
+ }
220
+ ],
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+ "market_evidence": [
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+ "https://aclanthology.org/2026.nslp-1.3/",
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+ "https://arxiv.org/abs/2608.03860",
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+ "https://aclanthology.org/2026.eacl-long.8/"
225
+ ],
226
+ "no_client_or_revenue_claims": true
227
+ }
PRODUCT_SELECTION.md ADDED
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+ # RegalFire scientific product selection
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+
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+ 12 candidates; 5 selected. Scores are editorial assessment informed by actual record quality and 2026 scientific RAG evaluation work, not client commitments. Higher build-cost efficiency means lower implementation cost.
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+
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+ | Candidate | Score /100 | Selected | Actual records | Decision |
6
+ |---|---:|---|---:|---|
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+ | Scientific-Citation-Graph | 82 | True | 888 | 888 mechanical reference edges with literal context and full source attribution. |
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+ | Scientific-Answer-Ranking | 80 | True | 73 | 73 genuinely multi-answer threads; community signals explicitly separated from truth. |
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+ | Scientific-RAG-HardCases | 80 | True | 258 | 258 property-selected cases; no invented correct-answer label. |
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+ | Scientific-Code-and-Analysis-QA | 79 | True | 72 | 72 threads and 174 exact preformatted scientific code blocks; no execution/correctness claim. |
11
+ | Scientific-Statistics-QA | 71 | True | 89 | 89 source-grounded QA threads; statistical methods/retrieval pilot. |
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+ | Scientific-Computational-Methods-QA | 69 | False | not built | Valid source exists, but a separate site-only QA duplicates the more distinctive code product. |
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+ | Scientific-Methodology-QA | 57 | False | not built | No precise deterministic methodological-topic subset defined; avoid vague ontology labels. |
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+ | Scientific-DataScience-QA | 34 | False | not built | Useful fit but collection not started: shared API quota 12, reserve 10. |
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+ | Scientific-Chemistry-QA | 33 | False | not built | No independently approved question/answer/revision corpus. |
16
+ | Scientific-Physics-QA | 33 | False | not built | No independently approved question/answer/revision corpus. |
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+ | Scientific-Astronomy-QA | 31 | False | not built | No independently approved question/answer/revision corpus. |
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+ | Scientific-Math-QA | 30 | False | not built | Large public source, but no verified complete corpus in this run. |
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+
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+ Research signals: [Scientific QA RAG, LREC 2026](https://aclanthology.org/2026.nslp-1.3/), [SciRet 2026](https://arxiv.org/abs/2608.03860), [T2-RAGBench, EACL 2026](https://aclanthology.org/2026.eacl-long.8/).
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+ The family shares a 288-thread corpus. Selected product counts cannot be added as independent source volume. Public holdouts are not contamination-resistant.
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+ Shared API remaining quota was 12 at the last successful native collection. Reserve 10; deferred unverified domains instead of weakening source/license checks.
QA_REPORT.md ADDED
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+ # RegalFire QA report
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+
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+ {
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+ "status": "PASS",
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+ "name": "Scientific-Answer-Ranking",
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+ "records": 73,
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+ "unique_threads": 73,
8
+ "answers": 186,
9
+ "assertions": 4659,
10
+ "near_duplicate_pairs": 0,
11
+ "duplicate_text_occurrences": 0,
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+ "code_blocks_verified": 0,
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+ "source_validation": {
14
+ "stats": {
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+ "status": "PASS",
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+ "assertions": 9607,
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+ "raw_files_verified": 11
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+ },
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+ "scicomp": {
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+ "status": "PASS",
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+ "assertions": 9277,
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+ "raw_files_verified": 10
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+ },
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+ "biology": {
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+ "status": "PASS",
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+ "assertions": 231855,
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+ "raw_files_verified": 93
28
+ }
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+ },
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+ "errors": [],
31
+ "independent": "No import of builder; independent per-source raw/HTML/revision verifiers plus product selection and split checks. Same engine is used by five product-specific entry points.",
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+ "holdout_note": "Source-thread lexical group holdout; public, not a contamination-free private test set."
33
+ }
34
+
35
+ 15/15 family controlled corruptions rejected; exact-byte regeneration PASS.
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+ Four nonempty splits including shared source-thread holdout.
37
+ 114 approved source response captures; all other acquisition material excluded.
38
+ No scientific truth, semantic difficulty, language correctness or code execution claims.
39
+ Medical/PII screen is heuristic. Raw source validation requires local archive.
README.md ADDED
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+ ---
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+ license: cc-by-sa-4.0
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+ language:
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+ - en
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+ pretty_name: RegalFire Scientific multi-answer ranking
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+ tags:
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+ - science
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+ - stackexchange
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+ - provenance
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: train.jsonl
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+ - split: validation
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+ path: validation.jsonl
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+ - split: test
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+ path: test.jsonl
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+ - split: holdout
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+ path: holdout.jsonl
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+ ---
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+
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+ # RegalFire Scientific multi-answer ranking
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+
25
+ RegalFire — AI Data Foundry
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+
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+ Every record has at least two candidate answers. Community votes and accepted status are signals, not scientific truth.
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+
29
+ ## Verified scope
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+ Records: 73; distinct source threads: 73; unique answers represented: 186.
31
+ Domain thread counts: {"statistics": 27, "computational_science": 25, "biology": 21}.
32
+ Actual record splits: {"train": 47, "validation": 7, "holdout": 12, "test": 7}.
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+
34
+ Each record includes a canonical `thread`, all source answers, author attribution, original HTML, mechanically converted text, revisions and raw hash/API provenance. `record_id` is the primary key; `thread_id` is site-qualified, while original numeric question/answer IDs are retained. Citation record counts count edges; answer/thread totals are deduplicated within the product.
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+
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+ ## Sources and licensing
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+
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+ Official Stack Exchange API 2.3 source snapshots from Cross Validated (`stats`), Computational Science (`scicomp`) and Biology (`biology`), as applicable to the recorded domain distribution. Native new capture windows used the 100 most recently created answered questions for Stats and Scicomp. Biology reuses a deterministic 100-thread sample from the previously validated local capture; the original public Biology repo is unchanged. After source and additional cross-post sensitivity exclusions, the family source corpus contains 288 threads.
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+
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+ All retained current question and answer contributions explicitly returned CC BY-SA 4.0. This is verified per post, not assumed for historical posts. Bionic raw contained 2.5/3.0 contributions but lacked sufficient independently captured provenance/revisions; those inputs are excluded. Historical revision license fields, when supplied, are retained. See `SOURCE_LICENSE_AUDIT.json` and [official source licensing](https://stackoverflow.com/help/licensing).
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+
42
+ Keep question titles, Biology/Computational Science/Cross Validated source identity, contributor names and available profile links, original post URLs, license links and transformation notices when redistributing. Each thread includes revision contributors and their source identifiers. Null profiles mean unavailable/deleted information; no profile is invented. Share adaptations under the applicable same or compatible license and impose no additional restrictions. Packaging does not replace source ownership or licensing. Third-party quotations and referenced images/papers may have separate rights; external assets are not downloaded or repackaged.
43
+
44
+ ## Deterministic product rules
45
+
46
+ QA chooses an accepted answer when present, otherwise maximum community score >=1 with lowest answer ID as tie breaker. `accepted_answer` remains null for a score-based fallback. Ranking requires at least two answers. RAG signals describe counts, acceptance, scores, references and time spans: they are not semantic disagreement annotations, verified difficulty or correct-answer labels. Code selection uses preformatted blocks of at least 20 characters with a documented code-syntax screen. Language is explicitly unspecified; snippets may be incomplete/pseudocode and are not executed. Citation extraction uses literal external URLs/DOI-like strings; context is a literal ±100-character text window or null when only HTML contains the reference. No DOI resolution, paper download or citation correctness claim.
47
+
48
+ ## Transformations and privacy
49
+
50
+ No LLM rewriting. Original API HTML remains intact. Text mechanically decodes HTML entities, preserves source text, code whitespace and TeX strings, adds literal link destinations and image-reference markers, and flattens superscript/subscript formatting. Code blocks retain exact decoded preformatted contents with SHA-256. Treat HTML/links/code as untrusted; sanitize rendered HTML and never execute snippets without a sandbox.
51
+
52
+ Patient-specific/personal medical histories, direct treatment requests and email-like identifiers are screened across both questions and answers and excluded by an English heuristic. General scientific medical discussions can remain with sensitivity flags. This is not comprehensive PII detection or clinical review. No medical advice. Rejections contain IDs/URLs/reasons without the excluded bodies. `SENSITIVITY_REPORT.json` describes the family screen.
53
+
54
+ ## Splits and overlap
55
+
56
+ One shared source-thread grouping is used by all five family products: normalized title/body/exact answer hashes and exhaustive question word-trigram Jaccard >=0.80 unite obvious duplicates. SHA-256 buckets assign 70/10/10/10 train/validation/test/holdout; observed proportions vary. Every occurrence of a thread has the same split across products. Products overlap intentionally; do not add their volumes as unique source content or concatenate one product’s held-out records into another’s training. These are publicly available forum posts: holdout is not a contamination-resistant private benchmark and lexical checks do not guarantee absence of semantic paraphrases.
57
+
58
+ ## Validation and reproducibility
59
+
60
+ Independent source verifiers check schema, UTF-8, author/revision attribution, actual license fields, HTTP/raw hashes, HTML/text preservation, unique IDs, complete answers and accepted consistency. A separate product engine checks eligibility, code/citation extraction, source equality, duplicates, exact split files and leakage. Five product-specific validator entry points use this engine; no builder is imported. The family passed 15 controlled corruption tests and byte-identical regeneration. `validation_report.json` records this product’s results; `ROBUSTNESS_REPORT.json` records family tests.
61
+
62
+ Run `python validate_dataset.py --source-root <scientific_product_factory>` with the local capture archive and source pipelines. Full raw/source validation requires that archive. Public release files omit raw bodies containing excluded data; `SOURCE_MANIFEST.json` records their hashes, API URLs and collection times. Fresh API collection can differ from the original snapshot. `MANIFEST.json` hashes every release file except itself.
63
+
64
+ ## Intended use and limitations
65
+
66
+ Retrieval/reranking teams and scientific assistant evaluators.
67
+ No expert scientific correctness labels, model accuracy claims, validated code execution, clinical review or resolved-citation guarantees. Community votes are not scientific truth. This is a bounded starter evaluation corpus; expansion depends on source completeness, licensing and available API quota. Statistical QA/code subsets are small and recent; do not treat them as representative of a whole research discipline.
68
+
69
+ ## Custom / Private Dataset Work
70
+
71
+ RegalFire builds custom AI datasets, evaluation sets and reproducible data pipelines for research and production systems.
72
+
73
+ Private candidate pools, expert relevance labels, answer-ranking schemas and custom source-group holdout evaluations.
74
+
75
+ Contact: ootiris@gmail.com
76
+ Hugging Face: RegalFire
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+ "unique_family_threads": 280
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+ }
SENSITIVITY_REPORT.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "screen": "English keyword/first-person across question AND answer; email-like identifier exclusion; no clinical/expert review",
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+ "candidate_threads": 290,
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+ "retained_threads": 288,
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+ "new_sensitivity_exclusions": [
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+ "source_url": "https://stats.stackexchange.com/questions/677096/frequentist-estimation-but-bayesian-interpretation",
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+ "reasons": [
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+ "patient-specific/history heuristic across posts"
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+ ]
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+ },
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+ {
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+ "thread_id": "biology:115431",
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+ "source_url": "https://biology.stackexchange.com/questions/115431/when-is-it-useful-to-give-a-vaccine-post-infection",
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+ "reasons": [
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+ "patient-specific/history heuristic across posts"
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+ ]
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+ }
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+ ],
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+ "source_exclusions_included_in_rejected": true
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+ }
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+ "brand": "RegalFire — AI Data Foundry",
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+ "source_platform": "Stack Exchange",
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+ "source_site": "Multiple independent Stack Exchange sites",
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+ {
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+ {
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+ "from": "2018-05-02T00:00:00Z",
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+ "license": "CC BY-SA 4.0"
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+ }
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+ ],
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+ "selection_policy": "Preserve actual API content_license for each current question, answer and historical revision when supplied. Do not derive current license solely from original creation timestamp. Missing/unsupported current-post licenses reject the thread.",
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+ "attribution_requirements": [
81
+ "Identify Biology Stack Exchange as source",
82
+ "Retain question title, source post URLs, contributor display names and available profile URLs",
83
+ "Retain current per-post licenses and license URLs",
84
+ "Retain revision contributors and historical revision licenses supplied by the API",
85
+ "State HTML-to-text and dataset selection/grouping transformations; no endorsement implied"
86
+ ],
87
+ "sharealike": "Original contributions retain their individual licenses. Share adaptations under the applicable same license or a compatible license; do not relabel the entire original corpus as MIT or uniformly CC BY-SA 4.0.",
88
+ "redistribution": "CC BY-SA permits redistribution, including commercial use, subject to attribution, ShareAlike, and no additional restrictions. Third-party embedded material can have separate rights. Explicit conflicting rights notices trigger rejection; no external assets downloaded.",
89
+ "third_party_material": "Source HTML may contain third-party quotations and external image references. No guarantee all third-party material is independently cleared. No images/papers are downloaded or repackaged; URLs remain references.",
90
+ "medical": "Forum opinions are not verified science or medical advice; heuristic sensitivity screening is not clinical review.",
91
+ "license_urls": {
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+ "CC BY-SA 2.5": "https://creativecommons.org/licenses/by-sa/2.5/",
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+ "CC BY-SA 3.0": "https://creativecommons.org/licenses/by-sa/3.0/",
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+ },
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+ "sites": {
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+ "scicomp": "https://scicomp.stackexchange.com",
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+ },
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+ "published_corpus_license_counts": {
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+ "CC BY-SA 4.0": 689
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+ "unapproved_raw_historical_licenses": "Audit observed 2.5/3.0/4.0 in unproven Bionic raw. These were not relabelled and are excluded from this release.",
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+ "product": "Scientific-Answer-Ranking",
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+ "product_current_post_license_counts": {
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+ "CC BY-SA 4.0": 259
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+ }
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+ }
SOURCE_MANIFEST.json ADDED
The diff for this file is too large to render. See raw diff
 
dataset.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
holdout.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
rejected.jsonl ADDED
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+ "type": "string"
511
+ },
512
+ "score": {
513
+ "type": "integer"
514
+ },
515
+ "is_accepted": {
516
+ "type": "boolean"
517
+ },
518
+ "content_license": {
519
+ "enum": [
520
+ "CC BY-SA 2.5",
521
+ "CC BY-SA 3.0",
522
+ "CC BY-SA 4.0"
523
+ ]
524
+ },
525
+ "answer_url": {
526
+ "type": "string"
527
+ },
528
+ "provenance": {
529
+ "type": "object",
530
+ "properties": {
531
+ "source_api": {
532
+ "type": "string"
533
+ },
534
+ "source_url": {
535
+ "type": "string"
536
+ },
537
+ "collected_at": {
538
+ "type": "string"
539
+ },
540
+ "raw_file": {
541
+ "type": "string"
542
+ },
543
+ "raw_sha256": {
544
+ "type": "string",
545
+ "pattern": "^[a-f0-9]{64}$"
546
+ },
547
+ "license": {
548
+ "enum": [
549
+ "CC BY-SA 2.5",
550
+ "CC BY-SA 3.0",
551
+ "CC BY-SA 4.0"
552
+ ]
553
+ },
554
+ "license_url": {
555
+ "type": "string"
556
+ },
557
+ "attribution_required": {
558
+ "const": true
559
+ },
560
+ "transformation": {
561
+ "type": "string"
562
+ }
563
+ },
564
+ "required": [
565
+ "source_api",
566
+ "source_url",
567
+ "collected_at",
568
+ "raw_file",
569
+ "raw_sha256",
570
+ "license",
571
+ "license_url",
572
+ "attribution_required",
573
+ "transformation"
574
+ ],
575
+ "additionalProperties": false
576
+ },
577
+ "revision_attribution": {
578
+ "type": "array",
579
+ "minItems": 1,
580
+ "items": {
581
+ "type": "object",
582
+ "properties": {
583
+ "revision_guid": {
584
+ "type": "string"
585
+ },
586
+ "revision_number": {
587
+ "type": [
588
+ "integer",
589
+ "null"
590
+ ]
591
+ },
592
+ "revision_type": {
593
+ "type": "string"
594
+ },
595
+ "created_at": {
596
+ "type": "string"
597
+ },
598
+ "content_license": {
599
+ "anyOf": [
600
+ {
601
+ "enum": [
602
+ "CC BY-SA 2.5",
603
+ "CC BY-SA 3.0",
604
+ "CC BY-SA 4.0"
605
+ ]
606
+ },
607
+ {
608
+ "type": "null"
609
+ }
610
+ ]
611
+ },
612
+ "contributor": {
613
+ "type": "object",
614
+ "properties": {
615
+ "display_name": {
616
+ "type": "string"
617
+ },
618
+ "profile_url": {
619
+ "type": [
620
+ "string",
621
+ "null"
622
+ ]
623
+ },
624
+ "user_type": {
625
+ "type": "string"
626
+ }
627
+ },
628
+ "required": [
629
+ "display_name",
630
+ "profile_url",
631
+ "user_type"
632
+ ],
633
+ "additionalProperties": false
634
+ },
635
+ "revision_url": {
636
+ "type": "string"
637
+ },
638
+ "raw_file": {
639
+ "type": "string"
640
+ },
641
+ "raw_sha256": {
642
+ "type": "string"
643
+ }
644
+ },
645
+ "required": [
646
+ "revision_guid",
647
+ "revision_number",
648
+ "revision_type",
649
+ "created_at",
650
+ "content_license",
651
+ "contributor",
652
+ "revision_url",
653
+ "raw_file",
654
+ "raw_sha256"
655
+ ],
656
+ "additionalProperties": false
657
+ }
658
+ },
659
+ "author": {
660
+ "type": "string"
661
+ },
662
+ "author_url": {
663
+ "type": [
664
+ "string",
665
+ "null"
666
+ ]
667
+ },
668
+ "author_user_type": {
669
+ "type": "string"
670
+ }
671
+ },
672
+ "required": [
673
+ "answer_id",
674
+ "question_id",
675
+ "answer_text",
676
+ "answer_html",
677
+ "created_at",
678
+ "updated_at",
679
+ "score",
680
+ "is_accepted",
681
+ "content_license",
682
+ "answer_url",
683
+ "provenance",
684
+ "revision_attribution",
685
+ "author",
686
+ "author_url",
687
+ "author_user_type"
688
+ ],
689
+ "additionalProperties": false
690
+ }
691
+ },
692
+ "scores": {
693
+ "type": "array",
694
+ "items": {
695
+ "type": "integer"
696
+ }
697
+ },
698
+ "accepted_status": {
699
+ "type": "array",
700
+ "items": {
701
+ "type": "boolean"
702
+ }
703
+ },
704
+ "ground_truth": {
705
+ "const": "community signals only; no scientific truth label"
706
+ }
707
+ },
708
+ "required": [
709
+ "record_id",
710
+ "product",
711
+ "thread",
712
+ "split",
713
+ "question",
714
+ "candidate_answers",
715
+ "scores",
716
+ "accepted_status",
717
+ "ground_truth"
718
+ ],
719
+ "additionalProperties": false,
720
+ "$schema": "https://json-schema.org/draft/2020-12/schema"
721
+ }
stats.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "Scientific-Answer-Ranking",
3
+ "kind": "ranking",
4
+ "records": 73,
5
+ "unique_threads": 73,
6
+ "answers": 186,
7
+ "domains": {
8
+ "statistics": 27,
9
+ "computational_science": 25,
10
+ "biology": 21
11
+ },
12
+ "splits": {
13
+ "train": 47,
14
+ "validation": 7,
15
+ "holdout": 12,
16
+ "test": 7
17
+ },
18
+ "licenses": {
19
+ "CC BY-SA 4.0": 259
20
+ },
21
+ "rejected_records": 345,
22
+ "source_corpus_threads": 288,
23
+ "overlap_notice": "Products are views of one shared source corpus; counts must not be summed as unique threads. Shared thread/group splits are identical across products.",
24
+ "medical_sensitive_threads": 15
25
+ }
test.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
train.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
validate_dataset.py ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ from pathlib import Path
2
+ import argparse,sys
3
+ sys.path.insert(0,str(Path(__file__).resolve().parent/'validation_engine'))
4
+ from validate_products import validate
5
+ p=argparse.ArgumentParser();p.add_argument('--source-root',type=Path,required=True);p.add_argument('--release',type=Path,default=Path(__file__).resolve().parent);a=p.parse_args()
6
+ r=validate(a.release,a.source_root,'Scientific-Answer-Ranking');print(r);raise SystemExit(0 if r['status']=='PASS' else 1)
validation.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
validation_engine/validate_products.py ADDED
@@ -0,0 +1,144 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Independent source + product verifier. Never imports the product builder."""
2
+ import argparse,hashlib,importlib.util,json,re
3
+ from collections import Counter
4
+ from datetime import datetime
5
+ from html.parser import HTMLParser
6
+ from pathlib import Path
7
+ from jsonschema import Draft202012Validator
8
+ ROOT=Path(__file__).resolve().parents[1]
9
+ KINDS={'Scientific-Statistics-QA':'statistics_qa','Scientific-Code-and-Analysis-QA':'code_qa','Scientific-Answer-Ranking':'ranking','Scientific-Citation-Graph':'citations','Scientific-RAG-HardCases':'rag'}
10
+ CACHE={}
11
+ def read(p):return json.loads(p.read_text('utf-8'))
12
+ def rows(p):return [json.loads(x) for x in p.read_text('utf-8').splitlines() if x.strip()]
13
+ def h(s):return hashlib.sha256(s.encode()).hexdigest()
14
+ def normal(s):return re.sub(r'[^\w]+',' ',s.lower()).strip()
15
+ class CodeOracle(HTMLParser):
16
+ def __init__(self):super().__init__(convert_charrefs=True);self.inside=False;self.parts=[];self.blocks=[]
17
+ def handle_starttag(self,tag,attrs):
18
+ if tag=='pre':self.inside=True;self.parts=[]
19
+ elif self.inside and tag=='br':self.parts.append('\n')
20
+ def handle_endtag(self,tag):
21
+ if tag=='pre' and self.inside:self.blocks.append(''.join(self.parts));self.inside=False
22
+ def handle_data(self,s):
23
+ if self.inside:self.parts.append(s)
24
+ def sources(root):
25
+ if str(root) in CACHE:return CACHE[str(root)]
26
+ result={};reports={};edges={}
27
+ for site in ['stats','scicomp','biology']:
28
+ source=root/'sources'/site;file=source/'codex'/'validate_scientific_forum_dataset.py'
29
+ spec=importlib.util.spec_from_file_location('independent_source_'+site,file);module=importlib.util.module_from_spec(spec);spec.loader.exec_module(module)
30
+ report=module.validate(source/'release'/'source-corpus',source)
31
+ if report['status']!='PASS':raise ValueError('Source validator failed: '+site+' '+str(report['errors'][:5]))
32
+ reports[site]=report;result[site]={r['thread_id']:r for r in rows(source/'release'/'source-corpus'/'dataset.jsonl')};edges[site]=rows(source/'release'/'source-corpus'/'citation_graph.jsonl')
33
+ CACHE[str(root)]=(result,reports,edges);return result,reports,edges
34
+ def validate(folder,root=ROOT,name=None):
35
+ name=name or folder.name;kind=KINDS[name];source,source_reports,edges=sources(root)
36
+ errors=[];assertions=0
37
+ def check(ok,msg):
38
+ nonlocal assertions
39
+ assertions+=1
40
+ if not ok:errors.append(msg)
41
+ data=rows(folder/'dataset.jsonl');schema=Draft202012Validator(read(folder/'schema.json'));ids=set();threads={};primary={};code_total=0
42
+ corpus={t['thread_id']:t for t in rows(root/'normalized'/'corpus.jsonl')}
43
+ qaeligible=set();rankeligible=set();rageligible={};codeeligible={};citeseligible={}
44
+ def selected(t):
45
+ accepted=[a for a in t['answers'] if a['is_accepted']]
46
+ if accepted:return accepted[0]
47
+ scored=sorted([a for a in t['answers'] if a['score']>=1],key=lambda a:(-a['score'],a['answer_id']));return scored[0] if scored else None
48
+ def signals(t):
49
+ answers=t['answers'];sc=[a['score'] for a in answers];ac=next((a for a in answers if a['is_accepted']),None);ss=[]
50
+ if len(answers)>1:ss.append('multiple_answers')
51
+ if len(t['external_links'])>1:ss.append('multiple_external_references')
52
+ if ac is None:ss.append('no_accepted_answer')
53
+ if ac and max(sc)>ac['score']:ss.append('accepted_not_highest_score')
54
+ if len(sc)>1 and max(sc)-min(sc)>=5:ss.append('community_score_spread_ge_5')
55
+ if len(answers)>1:
56
+ dates=[datetime.fromisoformat(a['created_at']) for a in answers]
57
+ if (max(dates)-min(dates)).days>=365:ss.append('answer_age_span_ge_365_days')
58
+ return ss
59
+ def code(t):
60
+ pp=[(t['question_id'],t['question_html'],t['source_url'])]+[(a['answer_id'],a['answer_html'],a['answer_url']) for a in t['answers']];rr=[]
61
+ for pid,body,url in pp:
62
+ oracle=CodeOracle();oracle.feed(body)
63
+ for i,block in enumerate(oracle.blocks):
64
+ if len(block.strip())<20:continue
65
+ if not re.search(r'\b(import|def|return|while|function|library|numpy|printf|NDSolve|Table|Plot|double|void)\b|<-|np\.|\bfor\s|print\(|lm\(',block):continue
66
+ rr.append((pid,i,block,url,h(block)))
67
+ return rr
68
+ for tid,t in corpus.items():
69
+ if t['source_site']=='stats' and selected(t):qaeligible.add(tid)
70
+ if len(t['answers'])>=2:rankeligible.add(tid)
71
+ if signals(t):rageligible[tid]=signals(t)
72
+ cb=code(t)
73
+ if cb and selected(t):codeeligible[tid]=cb
74
+ cc=[c for c in edges[t['source_site']] if c['thread_id']==t['question_id']]
75
+ if cc:citeseligible[tid]=cc
76
+ seen_citations=set()
77
+ for r in data:
78
+ se=list(schema.iter_errors(r));check(not se,'schema '+r.get('record_id','?')+': '+str([e.message for e in se[:2]]))
79
+ if se:continue
80
+ rid=r['record_id'];check(rid not in ids,'duplicate primary ID '+rid);ids.add(rid)
81
+ t=r['thread'];tid=t['thread_id'];threads[tid]=t;site=t['source_site'];q=source[site].get(t['question_id']);check(q is not None,'orphan source thread '+tid)
82
+ if q is None:continue
83
+ check(tid==site+':'+str(t['question_id']),'qualified thread identity')
84
+ check(t['source_url']==q['thread_url'] and t['domain']=={'stats':'statistics','scicomp':'computational_science','biology':'biology'}[site],'source URL/domain')
85
+ for key in ['title','question_text','question_html','question_author','question_author_url','question_author_user_type','question_created_at','question_score','tags','question_license','accepted_answer_id','provenance','revision_attribution','medical_sensitive']:
86
+ check(t[key]==q[key],'source question field '+tid+'/'+key)
87
+ check(tid in corpus and t==corpus.get(tid),'canonical membership/equality '+tid)
88
+ check(r['split']==t['split'],'record/thread split consistency')
89
+ bucket=int(t['split_group'][:8],16)%100;expected='train' if bucket<70 else 'validation' if bucket<80 else 'test' if bucket<90 else 'holdout';check(t['split']==expected,'deterministic split bucket')
90
+ rawanswers={a['answer_id']:a for a in q['answers']};seen_answers=set()
91
+ for a in t['answers']:
92
+ aid=a['answer_id'];check(aid not in seen_answers,'duplicate answer');seen_answers.add(aid);original=rawanswers.get(aid);check(bool(original),'orphan answer')
93
+ if not original:continue
94
+ check(a['question_id']==t['question_id'],'answer question relationship')
95
+ for key in ['answer_text','answer_html','created_at','updated_at','score','is_accepted','content_license','answer_url','provenance','revision_attribution']:
96
+ check(a[key]==original[key],'source answer field '+tid+'/'+str(aid)+'/'+key)
97
+ check(a['author']==original['author_display_name'] and a['author_url']==original['author_profile_url'],'answer attribution')
98
+ check(seen_answers==set(rawanswers),'complete source answer coverage')
99
+ accepted=[a['answer_id'] for a in t['answers'] if a['is_accepted']];check(accepted==([t['accepted_answer_id']] if t['accepted_answer_id'] else []),'accepted consistency')
100
+ content='\n'.join([t['question_text']]+[a['answer_text'] for a in t['answers']]);check(not re.search(r'[\w.+-]+@[\w.-]+\.[A-Za-z]{2,}',content),'identifiable email heuristic')
101
+ check(not re.search(r'\b(my|I have|I am|my friend|my mother|my father)\b.{0,100}\b(symptom\w*|diagnos\w*|medication|disease|infection|pain|sick)\b',content,re.I|re.S),'patient history heuristic')
102
+ check(not re.search(r'\b(should I take|what (?:drug|medicine|treatment) should|how (?:can|should) I treat)\b',content,re.I),'clinical request heuristic')
103
+ if kind in ('statistics_qa','code_qa'):
104
+ s=selected(t);check(s is not None and r['selected_answer']==s and r['question']==t['question_text'],'QA selected answer')
105
+ check(r['accepted_answer']==(s if s and s['is_accepted'] else None),'QA accepted vs score fallback')
106
+ check(r['other_answers']==[a for a in t['answers'] if s and a['answer_id']!=s['answer_id']],'QA other candidates')
107
+ if kind=='code_qa':
108
+ actual=[(b['post_id'],b['block_index'],b['code_text'],b['source_url'],b['sha256']) for b in r['code_blocks']];check(actual==codeeligible.get(tid),'exact code extraction');code_total+=len(actual)
109
+ if kind=='ranking':check(r['candidate_answers']==t['answers'] and r['scores']==[a['score'] for a in t['answers']] and r['accepted_status']==[a['is_accepted'] for a in t['answers']] and r['question']==t['question_text'],'ranking source arrays')
110
+ if kind=='rag':check(r['hardness_signals']==signals(t),'deterministic hardness signals')
111
+ if kind=='citations':
112
+ key=(tid,r['post_id'],r['external_url'],r['doi']);check(key not in seen_citations,'duplicate citation');seen_citations.add(key)
113
+ allowed=citeseligible.get(tid,[]);c=next((c for c in allowed if (c['post_id'],c['target_url'],c['doi'])==key[1:]),None);check(c is not None,'literal source citation')
114
+ if c:
115
+ check(r['post_url']==c['source_post_url'] and r['kind']==c['kind'] and r['content_license']==c['content_license'] and r['correctness_verified'] is False,'citation metadata')
116
+ plain=t['question_text'] if r['post_id']==t['question_id'] else next(a['answer_text'] for a in t['answers'] if a['answer_id']==r['post_id']);needle=r['external_url'] or r['doi'];at=plain.find(needle);context=plain[max(0,at-100):at+len(needle)+100] if at>=0 else None;check(r['citation_context']==context,'citation literal context')
117
+ expected={'statistics_qa':qaeligible,'code_qa':set(codeeligible),'ranking':rankeligible,'rag':set(rageligible),'citations':set(citeseligible)}[kind];check(set(threads)==expected,'product eligible thread coverage')
118
+ if kind!='citations':check(len(data)==len(threads),'one record per thread')
119
+ else:check(seen_citations=={(tid,c['post_id'],c['target_url'],c['doi']) for tid,cc in citeseligible.items() for c in cc},'citation complete edge coverage')
120
+ allsplit=[]
121
+ for split in ['train','validation','test','holdout']:
122
+ ss=rows(folder/(split+'.jsonl'));check(ss==[r for r in data if r['split']==split],'exact '+split+' split');allsplit+=ss
123
+ check(len(allsplit)==len(data),'split coverage')
124
+ textmap={};near=0;normalized_duplicates=0;tts=list(threads.values());grams=[]
125
+ for t in tts:
126
+ for value in [normal(t['title']),normal(t['question_text'])]+[normal(a['answer_text']) for a in t['answers']]:
127
+ if value in textmap:
128
+ normalized_duplicates+=1;check(textmap[value]==t['split'],'exact question/title/answer leakage')
129
+ else:textmap[value]=t['split']
130
+ w=normal(t['question_text']).split();grams.append(set(tuple(w[j:j+3]) for j in range(len(w)-2)))
131
+ for i,a in enumerate(grams):
132
+ for j in range(i):
133
+ b=grams[j]
134
+ if len(a)>=5 and len(b)>=5 and min(len(a),len(b))>=.8*max(len(a),len(b)) and len(a&b)/len(a|b)>=.8:near+=1;check(tts[i]['split']==tts[j]['split'],'near duplicate leakage')
135
+ stats=read(folder/'stats.json');check(stats['records']==len(data) and stats['unique_threads']==len(threads) and stats['answers']==sum(len(t['answers']) for t in threads.values()),'stats counts')
136
+ check(stats['splits']==dict(Counter(r['split'] for r in data)),'split counts')
137
+ rejected=rows(folder/'rejected.jsonl');check(len(rejected)==stats['rejected_records'] and all(r['reasons'] and r['thread_id'] not in threads for r in rejected),'rejections disjoint/reasoned')
138
+ check(len(data)>0 and all(any(r['split']==s for r in data) for s in ['train','validation','test','holdout']),'nonempty data and four splits')
139
+ report={'status':'PASS' if not errors else 'FAIL','name':name,'records':len(data),'unique_threads':len(threads),'answers':sum(len(t['answers']) for t in threads.values()),'assertions':assertions,'near_duplicate_pairs':near,'duplicate_text_occurrences':normalized_duplicates,'code_blocks_verified':code_total,'source_validation':{s:{'status':v['status'],'assertions':v['assertions'],'raw_files_verified':v['raw_files_verified']} for s,v in source_reports.items()},'errors':errors,'independent':'No import of builder; independent per-source raw/HTML/revision verifiers plus product selection and split checks. Same engine is used by five product-specific entry points.','holdout_note':'Source-thread lexical group holdout; public, not a contamination-free private test set.'}
140
+ (folder/'validation_report.json').write_text(json.dumps(report,indent=2)+'\n',encoding='utf-8');return report
141
+ if __name__=='__main__':
142
+ p=argparse.ArgumentParser();p.add_argument('--source-root',type=Path,default=ROOT);p.add_argument('--release',type=Path);p.add_argument('--product',choices=KINDS);a=p.parse_args()
143
+ names=[a.product] if a.product else list(KINDS);result={name:validate(a.release or a.source_root/'release'/name,a.source_root,name) for name in names}
144
+ print(json.dumps(result,indent=2));raise SystemExit(0 if all(r['status']=='PASS' for r in result.values()) else 1)
validation_report.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "status": "PASS",
3
+ "name": "Scientific-Answer-Ranking",
4
+ "records": 73,
5
+ "unique_threads": 73,
6
+ "answers": 186,
7
+ "assertions": 4659,
8
+ "near_duplicate_pairs": 0,
9
+ "duplicate_text_occurrences": 0,
10
+ "code_blocks_verified": 0,
11
+ "source_validation": {
12
+ "stats": {
13
+ "status": "PASS",
14
+ "assertions": 9607,
15
+ "raw_files_verified": 11
16
+ },
17
+ "scicomp": {
18
+ "status": "PASS",
19
+ "assertions": 9277,
20
+ "raw_files_verified": 10
21
+ },
22
+ "biology": {
23
+ "status": "PASS",
24
+ "assertions": 231855,
25
+ "raw_files_verified": 93
26
+ }
27
+ },
28
+ "errors": [],
29
+ "independent": "No import of builder; independent per-source raw/HTML/revision verifiers plus product selection and split checks. Same engine is used by five product-specific entry points.",
30
+ "holdout_note": "Source-thread lexical group holdout; public, not a contamination-free private test set."
31
+ }