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README.md

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+---
+license: cc-by-4.0
+language:
+  - en
+  - ja
+task_categories:
+  - text-retrieval
+pretty_name: ReCaRe
+tags:
+  - legal
+  - revision-candidate-retrieval
+  - bilingual
+configs:
+  - config_name: corpus-en
+    data_files:
+      - split: corpus
+        path: corpus-en/corpus.jsonl
+  - config_name: corpus-ja
+    data_files:
+      - split: corpus
+        path: corpus-ja/corpus.jsonl
+  - config_name: queries-rat2rev-en
+    data_files:
+      - split: queries
+        path: queries-rat2rev-en/queries.jsonl
+  - config_name: queries-rat2rev-ja
+    data_files:
+      - split: queries
+        path: queries-rat2rev-ja/queries.jsonl
+  - config_name: queries-rev2rev-en
+    data_files:
+      - split: queries
+        path: queries-rev2rev-en/queries.jsonl
+  - config_name: queries-rev2rev-ja
+    data_files:
+      - split: queries
+        path: queries-rev2rev-ja/queries.jsonl
+  - config_name: qrels-rat2rev-en
+    data_files:
+      - split: train
+        path: qrels-rat2rev-en/train.jsonl
+      - split: validation
+        path: qrels-rat2rev-en/validation.jsonl
+      - split: test
+        path: qrels-rat2rev-en/test.jsonl
+  - config_name: qrels-rat2rev-ja
+    data_files:
+      - split: train
+        path: qrels-rat2rev-ja/train.jsonl
+      - split: validation
+        path: qrels-rat2rev-ja/validation.jsonl
+      - split: test
+        path: qrels-rat2rev-ja/test.jsonl
+  - config_name: qrels-rev2rev-en
+    data_files:
+      - split: train
+        path: qrels-rev2rev-en/train.jsonl
+      - split: validation
+        path: qrels-rev2rev-en/validation.jsonl
+      - split: test
+        path: qrels-rev2rev-en/test.jsonl
+  - config_name: qrels-rev2rev-ja
+    data_files:
+      - split: train
+        path: qrels-rev2rev-ja/train.jsonl
+      - split: validation
+        path: qrels-rev2rev-ja/validation.jsonl
+      - split: test
+        path: qrels-rev2rev-ja/test.jsonl
+  - config_name: metadata-en
+    data_files:
+      - split: metadata
+        path: metadata-en/dataset.jsonl
+  - config_name: metadata-ja
+    data_files:
+      - split: metadata
+        path: metadata-ja/dataset.jsonl
+---
+
+# ReCaRe — A Bilingual Legal Benchmark for Revision Candidate Retrieval
+
+ReCaRe (pronounced "re-care") is a bilingual legal IR benchmark grounded in EU and Japanese statutory amendments. It supports two **Revision Candidate Retrieval (RCR)** tasks over a shared per-language corpus:
+
+- **Rat2Rev** — given an amendment's textual rationale, retrieve the articles modified by the amendment.
+- **Rev2Rev** — given one already-revised article, retrieve other articles revised in the same legislative event.
+
+## Configurations
+
+| Config name | What it is | Records |
+|---|---|---|
+| `corpus-en` / `corpus-ja` | Per-language article corpus (BEIR canonical: `_id`, `text`) | 91,361 / 90,170 |
+| `queries-rat2rev-{en,ja}` | Rat2Rev queries (rationale text) | 340 / 363 |
+| `queries-rev2rev-{en,ja}` | Rev2Rev queries (pre-update article text) | 1,509 / 1,653 |
+| `qrels-rat2rev-{en,ja}` | Rat2Rev relevance judgments (JSONL: query-id, corpus-id, score) | 6,091 / 9,124 (train+val+test) |
+| `qrels-rev2rev-{en,ja}` | Rev2Rev relevance judgments | 28,433 / 43,498 |
+| `metadata-{en,ja}` | Verbatim construction-pipeline output (article-level provenance with before/after text and `type_of_change`) | 91,361 / 90,170 |
+
+
+
+## Quick start
+
+```python
+from datasets import load_dataset
+
+corpus  = load_dataset("kasys/ReCaRe", "corpus-en", split="corpus")
+queries = load_dataset("kasys/ReCaRe", "queries-rat2rev-en", split="queries")
+qrels   = load_dataset("kasys/ReCaRe", "qrels-rat2rev-en")  # train/validation/test
+```
+
+
+### Convert qrels to `trec_eval` format
+
+```python
+from datasets import load_dataset
+import pandas as pd
+ds = load_dataset("kasys/ReCaRe", "qrels-rat2rev-en", split="test")
+df = pd.DataFrame(ds).assign(iter=0)
+df[["query-id", "iter", "corpus-id", "score"]].to_csv(
+    "qrels.trec", sep=" ", header=False, index=False)
+```
+
+## Splits
+
+Train / validation / test split at amendment-event granularity (~1/3 each, inherited from the underlying construction pipeline). Same-event queries from both tasks are guaranteed to be in the same split.
+
+## Licenses
+
+- **EU subset**: CC BY 4.0 (EUR-Lex)
+- **JP subset**: CC BY 4.0 / CC0 (e-Gov 法令検索, 日本法令索引, 衆議院議案ページ)
+
+Source identifiers (CELEX numbers, 法令履歴 IDs) are preserved in `_id` fields so each record is traceable to its origin.
+

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