Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
json
Sub-tasks:
document-retrieval
Languages:
English
Size:
< 1K
Tags:
text-retrieval
query-id
stringlengths 5
5
| corpus-id
stringlengths 10
10
| score
float64 1
1
|
|---|---|---|
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AILA_casedocs
- Original link: https://zenodo.org/records/4063986
- The task is to retrieve the case document that most closely matches or is most relevant to the scenario described in the provided query.
- The query set comprises 50 queries, each describing a specific situation.
- The corpus set consists of case documents.
Usage
import datasets
# Download the dataset
queries = datasets.load_dataset("mteb/AILA_casedocs", "queries")
documents = datasets.load_dataset("mteb/AILA_casedocs", "corpus")
pair_labels = datasets.load_dataset("mteb/AILA_casedocs", "default")
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