Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
json
Sub-tasks:
document-retrieval
Languages:
Chinese
Size:
1K - 10K
Tags:
text-retrieval
query-id
stringclasses 159
values | corpus-id
stringlengths 10
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float64 1
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|
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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")
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