Datasets:

lbox
/

kcl

Tasks:

Question Answering

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Dataset card Data Studio Files Files and versions

doolayer commited on Oct 20, 2025

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@@ -74,7 +74,7 @@ This repository hosts the **Korean Canonical Legal Benchmark (KCL)** datasets.
 KCL is designed to **disentangle knowledge coverage from evidence-grounded reasoning**.
 KCL supports two complementary evaluation axes:
-1. **Knowledge Coverage**: performance without extra context (`vanilla` setting).
 2. **Evidence-Grounded Reasoning**: performance **with per-question supporting precedents** provided in-context.
 For essay questions, KCL further offers **instance-level rubrics** to enable **LLM-as-a-Judge** automated scoring.
@@ -90,7 +90,7 @@ For more information, please refer to our paper
 - **KCL-Essay** (open-ended generation)
   - 169 questions, 550 supporting precedents, 2,739 instance-level rubrics.
-- **KCL-MCQA** (five-choice multiple-choice)
   - 283 questions, 1,103 supporting precedents.
 ## Usage

 KCL is designed to **disentangle knowledge coverage from evidence-grounded reasoning**.
 KCL supports two complementary evaluation axes:
+1. **Knowledge Coverage**: performance without extra context.
 2. **Evidence-Grounded Reasoning**: performance **with per-question supporting precedents** provided in-context.
 For essay questions, KCL further offers **instance-level rubrics** to enable **LLM-as-a-Judge** automated scoring.
 - **KCL-Essay** (open-ended generation)
   - 169 questions, 550 supporting precedents, 2,739 instance-level rubrics.
+- **KCL-MCQA** (five-choice question answering)
   - 283 questions, 1,103 supporting precedents.
 ## Usage