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+corpus.jsonl filter=lfs diff=lfs merge=lfs -text
+queries.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+language:
+- zh
+multilinguality:
+- monolingual
+task_categories:
+- text-retrieval
+source_datasets:
+- https://github.com/THUIR/LeCaRDv2
+task_ids:
+- document-retrieval
+config_names:
+- corpus
+tags:
+- text-retrieval
+dataset_info:
+  - config_name: default
+    features:
+      - name: query-id
+        dtype: string
+      - name: corpus-id
+        dtype: string
+      - name: score
+        dtype: float64
+    splits:
+      - name: test
+        num_examples: 3896
+  - config_name: corpus
+    features:
+      - name: _id
+        dtype: string
+      - name: title
+        dtype: string
+      - name: text
+        dtype: string
+    splits:
+      - name: corpus
+        num_examples: 3795
+  - config_name: queries
+    features:
+      - name: _id
+        dtype: string
+      - name: text
+        dtype: string
+    splits:
+      - name: queries
+        num_examples: 159
+configs:
+  - config_name: default
+    data_files:
+      - split: test
+        path: qrels/test.jsonl
+  - config_name: corpus
+    data_files:
+      - split: corpus
+        path: corpus.jsonl
+  - config_name: queries
+    data_files:
+      - split: queries
+        path: queries.jsonl
+---
+
+**LeCaRDv2**
+
+- Original link: https://github.com/THUIR/LeCaRDv2
+- The task involves identifying and retrieving the case document that best matches or is most relevant to the scenario described in each of the provided queries.
+- The query set contains 159 queries, each outlining a distinct situation.
+- The corpus set includes 3795 candidate case documents.
+
+**Usage**
+```
+import datasets
+
+# Download the dataset
+queries = datasets.load_dataset("mteb/LeCaRDv2", "queries")
+documents = datasets.load_dataset("mteb/LeCaRDv2", "corpus")
+pair_labels = datasets.load_dataset("mteb/LeCaRDv2", "default")
+```

corpus.jsonl

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+size 153726855

queries.jsonl

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+oid sha256:a3007d1043f6b545a28583ae94a754f6091a5c57ba2356af922f7f73848b4aa7
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