Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
json
Sub-tasks:
document-retrieval
Languages:
German
Size:
10K - 100K
Tags:
text-retrieval
query-id
stringlengths 5
5
| corpus-id
stringlengths 10
10
| score
float64 1
1
|
|---|---|---|
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GerDaLIRSmall
- Original link: https://github.com/lavis-nlp/GerDaLIR
- The dataset consists of documents, passages and relevance labels in German.
- The corpus set consists of a collection of legal documents. In contrast to the original dataset, only documents that have corresponding queries in the query set are chosen to create a smaller corpus for evaluation purposes.
- The query set comprises passages that refer to one or more documents within the corpus set.
Usage
import datasets
# Download the dataset
queries = datasets.load_dataset("mteb/GerDaLIRSmall", "queries")
documents = datasets.load_dataset("mteb/GerDaLIRSmall", "corpus")
pair_labels = datasets.load_dataset("mteb/GerDaLIRSmall", "default")
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