LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset
SIGIR 2024, pages 2251–2260
What it adds
Defines case relevance through legal characterisation, penalty and procedure, with expert annotations and two-stage candidate pooling.
Read with this limitation
Coverage is Chinese criminal cases with pooled relevance judgments. Retrieval scores do not establish exhaustive coverage of all relevant cases or transfer to other jurisdictions. Full-text review used the 2023 preprint, not a complete comparison with the published edition.
- Jurisdiction tags
- China
- Language
- Chinese
Research artifacts
Resources linked by the authors.
Follow the source
Selected statements located in the linked primary sources. These results have not been independently reproduced here.
The dataset contains 800 query cases and 55,192 candidate cases selected from 4.3 million criminal case documents.
Abstract; 1 IntroductionThe relevance criteria distinguish characterisation, penalty and procedure; the dataset uses two-stage candidate pooling and legal-expert annotation.
Abstract; detailed construction in section 3
Connected research
Related question
LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain
Both evaluate retrieval for legal applications, using different retrieval units and relevance criteria.
Related question
CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction
Both use Chinese criminal judgments; LeCaRDv2 studies case retrieval while CAIL2018 studies judgment prediction.
Cited as an earlier benchmark by
SG-LegalCite: A Principle-Augmented Benchmark for Legal Citation Retrieval in Singapore Law
Cites LeCaRDv2 as a fact-based similar-case retrieval benchmark when motivating a facts-plus-principle query. This is a comparison of task design, not reuse of LeCaRDv2 data or a head-to-head performance claim.
Inspect the sourceEntry status, source edition & rights
- Index entry
- Source-linked summary, prepared with agent assistance. Independent scholarly review is pending.
- Archive admission
- This bibliographic entry does not confer admission to the versioned archive.
- Edition inspected
- arXiv:2310.17609v1 (26 October 2023)
- Reading coverage
- Full-text methods inspected in arXiv:2310.17609v1 (26 October 2023), especially sections 1 and 3–4. SIGIR 2024 title, author order, affiliations and DOI checked against publisher metadata. Published PDF retrieval was blocked; claims cite the reviewed preprint. No reproduction performed.
- Rights
- External references only. Papers and research artifacts remain with their original hosts; their own terms apply.
- Entry updated
- 2026-10-15
Source-linked summary · independent assessment pending.