Add anonymous dataset card
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README.md
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---
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pretty_name: LegalCiteBench
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task_categories:
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- text-generation
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- question-answering
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language:
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- en
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tags:
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- legal-nlp
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- legal-citation
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- benchmark
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- llm-evaluation
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- case-law
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license: cc0-1.0
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---
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# LegalCiteBench
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LegalCiteBench is a benchmark for evaluating citation reliability in legal language models. It covers closed-book citation retrieval, citation completion, citation error detection, case matching, and case verification and correction.
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This repository is anonymized for double-blind review. Public release links and full attribution will be provided after the review period.
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## Dataset Files
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- `data/cat1_citation_retrieval.jsonl`: citation retrieval
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- `data/cat2_citation_completion.jsonl`: citation completion
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- `data/cat3_citation_error_detection.jsonl`: citation error detection
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- `data/cat4_1_case_matching.jsonl`: case matching
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- `data/cat4_2_case_verification.jsonl`: case verification and correction
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## Source
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The benchmark is constructed from U.S. judicial opinions from the Case Law Access Project. Reference citations are opinion-derived conservative anchors and should not be interpreted as the only legally relevant authorities for open-ended legal research questions.
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## Review Notice
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This repository is provided for anonymous review. Please do not attempt to identify the authors during the review period.
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