| --- |
| language: |
| - en |
| - zh |
| license: mit |
| pretty_name: LegalScope |
| task_categories: |
| - question-answering |
| - text-generation |
| tags: |
| - legal |
| - legal-reasoning |
| - benchmark |
| - llm-evaluation |
| - exam-to-case-transfer |
| - chinese-civil-judgments |
| - text |
| size_categories: |
| - n<1K |
| --- |
| |
| # LegalScope |
|
|
| LegalScope is a public metadata preview for a benchmark studying whether strong |
| public legal-exam performance transfers to real-case legal analysis. |
|
|
| The benchmark pairs scalable public legal-exam tasks with lawyer-reviewed, |
| de-identified Chinese civil-judgment analysis. This Hugging Face dataset page is |
| kept intentionally small and public-safe: it mirrors the public metadata from the |
| GitHub repository and does not publish the full benchmark workbook, full prompts, |
| reference answers, model outputs, human review sheets, paper draft, or |
| non-de-identified legal source materials. |
|
|
| GitHub repository: https://github.com/EternWang/LegalScope |
|
|
| ## Benchmark Snapshot |
|
|
| | Component | Count | |
| | --- | ---: | |
| | Public legal-exam questions | 868 | |
| | Real-case issue-stance prompts | 76 | |
| | Total dataset items | 944 | |
| | De-identified Chinese civil judgments | 15 | |
| | Legal issues extracted from judgments | 38 | |
| | Model groups evaluated | 20 | |
| | Public-exam model responses | 17,360 | |
| | Real-case model responses | 1,520 | |
| | Total dataset model responses | 18,880 | |
| | Human-validation responses | 1,800 | |
|
|
| ## Files |
|
|
| ```text |
| data/metadata/dataset_summary.json |
| data/metadata/model_groups.csv |
| data/metadata/source_composition.csv |
| ``` |
|
|
| `dataset_summary.json` contains the public release boundary, benchmark module |
| counts, aggregate response counts, and transfer-summary metrics. |
|
|
| `model_groups.csv` lists the 20 evaluated model groups. |
|
|
| `source_composition.csv` summarizes public-exam jurisdiction/domain composition |
| and real-case legal-domain composition. |
|
|
| ## Evaluation Design |
|
|
| LegalScope has two tracks: |
|
|
| - **Public legal exams:** open-ended public legal-exam questions scored with a |
| reference-aware 0-4 answer-match protocol. |
| - **Chinese real cases:** issue-stance prompts derived from de-identified |
| Chinese civil judgments, scored across citation relevance, constraint |
| extraction, and argument validity. |
|
|
| Human validation covers 80 public-exam items and 10 real-case prompts across the |
| same 20 model groups, for 1,800 human-validation responses. |
|
|
| ## Intended Use |
|
|
| This public preview is intended for: |
|
|
| - understanding the benchmark design and release boundary; |
| - inspecting public-safe metadata and source composition; |
| - citing the public LegalScope artifact; |
| - coordinating access to the private benchmark materials where appropriate. |
|
|
| It is not intended for legal advice, legal decision support, training legal |
| decision systems, or reconstructing withheld private data. |
|
|
| ## Public Release Boundary |
|
|
| This dataset repository does **not** include: |
|
|
| - the full benchmark workbook; |
| - complete prompt matrices; |
| - reference answers; |
| - model-output matrices; |
| - human review sheets or adjudication notes; |
| - paper draft, review PDF, or LaTeX source; |
| - non-de-identified judgments or private source documents. |
|
|
| The public files are sufficient to document scope, counts, metadata, and release |
| boundaries, but they are not sufficient to reconstruct the full benchmark. |
|
|
| ## Citation |
|
|
| If you use this public preview, cite the GitHub repository and the released paper |
| once a stable paper citation is available. |
|
|
| ```bibtex |
| @misc{wang2026legalscope, |
| title = {LegalScope: Measuring Exam-to-Case Transfer in LLM Legal Reasoning}, |
| author = {Wang, Hongyu}, |
| year = {2026}, |
| howpublished = {\url{https://github.com/EternWang/LegalScope}}, |
| note = {Public metadata preview} |
| } |
| ``` |
|
|
| ## Disclaimer |
|
|
| LegalScope is a research benchmark for model evaluation. It is not legal advice, |
| a legal research product, or a substitute for jurisdiction-specific legal review. |
|
|
