Datasets:
dataset card
Browse files
README.md
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@@ -68,14 +68,14 @@ All tasks have qrels files `qrels/<task>_<split>.tsv` (splits `train`, `dev`, `t
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**Example (test).** Question `P-9-2024-000684` (4 Mar 2024, asbestos screening proposal): its official reply
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`P-9-2024-000684-ASW` is a referral stub ("…would refer the Honourable Member to its answer to written question
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[REF]"), which is the AnswerRet target. The answer it cites, `E-9-2023-003699-ASW` (12 Mar 2024), is the CiteRet
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target; it is eligible at drafting time (before the reply) but not in the pre-submission
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## Files
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All files of a release live under `<version>/` (this card: `v1.0/`); the git tag `v1.0` freezes the data. The
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**evidence supplement** (every run with per-query metrics and meta, all LLM-audit records including the extended
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audit and pools, and the fine-tuned bi-encoder weights) is under `v1.0/experiments/` and frozen by the tag
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`v1.0-evidence-
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- `corpus.jsonl`: `_id` (`<QID>-ASW`), `text` (masked, canonical), `raw_text` (header-stripped, unmasked),
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`date`, `institution`, `answers` (question ids), `header`, `source_url`.
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@@ -106,6 +106,11 @@ alone scores MRR@10 0.989) and a 0–180-day date window lifts BM25 from 0.547 t
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only for the as-of filters of the citation tasks; training may use training-split metadata (two post-hoc recipes
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select negatives by date).
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**Baseline protocol caveat.** Fine-tuning on the training split with BM25 hard negatives mined across the whole
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archive (the pre-registered protocol) hurts (MRR@10 0.424 ± 0.008 over 3 seeds vs 0.490 zero-shot). Post-hoc
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controls (3 seeds each): random negatives 0.669 ± 0.012, random negatives within ±365 days 0.712 ± 0.003, date-matched BM25
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**Example (test).** Question `P-9-2024-000684` (4 Mar 2024, asbestos screening proposal): its official reply
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`P-9-2024-000684-ASW` is a referral stub ("…would refer the Honourable Member to its answer to written question
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[REF]"), which is the AnswerRet target. The answer it cites, `E-9-2023-003699-ASW` (12 Mar 2024), is the CiteRet
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target; it is eligible at drafting time (before the reply) but not in PrecedentRet, the pre-submission task (after the question).
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## Files
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All files of a release live under `<version>/` (this card: `v1.0/`); the git tag `v1.0` freezes the data. The
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**evidence supplement** (every run with per-query metrics and meta, all LLM-audit records including the extended
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audit and pools, and the fine-tuned bi-encoder weights) is under `v1.0/experiments/` and frozen by the tag
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`v1.0-evidence-r5` (earlier evidence tags lack later post-hoc runs and audit extensions: random-negative models, Qwen3, dense question→question, all-periods zero-shot runs). Embedding caches are not included; the pipeline rebuilds them.
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- `corpus.jsonl`: `_id` (`<QID>-ASW`), `text` (masked, canonical), `raw_text` (header-stripped, unmasked),
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`date`, `institution`, `answers` (question ids), `header`, `source_url`.
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only for the as-of filters of the citation tasks; training may use training-split metadata (two post-hoc recipes
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select negatives by date).
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**Safe default for evaluation: the text-only export** (tag `v1.0-textonly`, `v1.0/textonly/`): corpus and queries with
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only a random opaque `_id` and the masked `text`; qrels on opaque ids; evaluator-only date files for the as-of rule in
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`eval/`; the opaque→source mapping as a separate download (`v1.0/textonly-provenance/`). Every main-experiment run scores
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identically on it.
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**Baseline protocol caveat.** Fine-tuning on the training split with BM25 hard negatives mined across the whole
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archive (the pre-registered protocol) hurts (MRR@10 0.424 ± 0.008 over 3 seeds vs 0.490 zero-shot). Post-hoc
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controls (3 seeds each): random negatives 0.669 ± 0.012, random negatives within ±365 days 0.712 ± 0.003, date-matched BM25
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