# CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain

arXiv: https://arxiv.org/abs/1911.08962 · HTML: https://mlsanity.com/paper/1911.08962/

## Key facts

- Cited by 30 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Nov 2019.

## Built on by (most cited first, 30 of 30)

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- [HLDC: Hindi Legal Documents Corpus](https://mlsanity.com/paper/2204.00806/) (2022)
- [LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain](https://mlsanity.com/paper/2404.02127/) (2024)
- [LAiW: A Chinese Legal Large Language Models Benchmark](https://mlsanity.com/paper/2310.05620/) (2023)
- [MUSER: A Multi-View Similar Case Retrieval Dataset](https://mlsanity.com/paper/2310.15602/) (2023)
- [An Intent Taxonomy of Legal Case Retrieval](https://mlsanity.com/paper/2307.13298/) (2023)
- [Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models](https://mlsanity.com/paper/2407.19041/) (2024)
- [Bilingual BSARD: Extending Statutory Article Retrieval to Dutch](https://mlsanity.com/paper/2412.07462/) (2024)
- [LeCoPCR: Legal Concept-guided Prior Case Retrieval for European Court of Human Rights cases](https://mlsanity.com/paper/2501.14114/) (2025)
- [IL-PCSR: Legal Corpus for Prior Case and Statute Retrieval](https://mlsanity.com/paper/2511.00268/) (2025)
- [LEEC: A Legal Element Extraction Dataset with an Extensive Domain-Specific Label System](https://mlsanity.com/paper/2310.01271/) (2023)
- [VLQA: The First Comprehensive, Large, and High-Quality Vietnamese Dataset for Legal Question Answering](https://mlsanity.com/paper/2507.19995/) (2025)
- [Indian Legal NLP Benchmarks : A Survey](https://mlsanity.com/paper/2107.06056/) (2021)
- [From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction](https://mlsanity.com/paper/2403.04369/) (2024)
- [On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey](https://mlsanity.com/paper/2507.20783/) (2025)
- [Computational Law: Datasets, Benchmarks, and Ontologies](https://mlsanity.com/paper/2503.04305/) (2025)
- [Legal Element-oriented Modeling with Multi-view Contrastive Learning for Legal Case Retrieval](https://mlsanity.com/paper/2210.05188/) (2022)
- [Towards Robust Text Retrieval with Progressive Learning](https://mlsanity.com/paper/2311.11691/) (2023)
- [VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law](https://mlsanity.com/paper/2108.10120/) (2021)
- [Mining Healthcare Procurement Data Using Text Mining and Natural Language Processing -- Reflection From An Industrial Project](https://mlsanity.com/paper/2301.03458/) (2023)
- [An interpretability framework for Similar case matching](https://mlsanity.com/paper/2304.01622/) (2023)
- [The Ethics of Automating Legal Actors](https://mlsanity.com/paper/2312.00584/) (2023)
- [ECtHR-PCR: A Dataset for Precedent Understanding and Prior Case Retrieval in the European Court of Human Rights](https://mlsanity.com/paper/2404.00596/) (2024)
- [Overview of the CAIL 2023 Argument Mining Track](https://mlsanity.com/paper/2406.14503/) (2024)
- [LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents](https://mlsanity.com/paper/2509.02241/) (2025)

## Abstract (arXiv)

In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Similar Case Matching dataset. CAIL2019-SCM contains 8,964 triplets of cases published by the Supreme People's Court of China. CAIL2019-SCM focuses on detecting similar cases, and the participants are required to check which two cases are more similar in the triplets. There are 711 teams who participated in this year's competition, and the best team has reached a score of 71.88. We have also implemented several baselines to help researchers better understand this task. The dataset and more details can be found from https://github.com/china-ai-law-challenge/CAIL2019/tree/master/scm.
