Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
json
Sub-tasks:
document-retrieval
Size:
1K - 10K
Tags:
text-retrieval
Dataset Viewer
query-id
stringlengths 5
5
| corpus-id
stringlengths 10
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| score
float64 1
1
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|---|---|---|
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| 1 |
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|
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| 1 |
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| 1 |
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|
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| 1 |
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|
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| 1 |
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| 1 |
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|
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| 1 |
End of preview. Expand
in Data Studio
The dataset comprises 446 pairs of legal text excerpts and their corresponding plain English summaries, sourced from reputable websites dedicated to clarifying legal documents. The summaries have been manually reviewed for quality, ensuring that the data is clean and suitable for evaluating legal retrieval.
Usage
import datasets
# Download the dataset
queries = datasets.load_dataset("embedding-benchmark/LegalSummarization", "queries")
documents = datasets.load_dataset("embedding-benchmark/LegalSummarization", "corpus")
pair_labels = datasets.load_dataset("embedding-benchmark/LegalSummarization", "default")
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