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Datasets:
mteb
/
XQuADRetrieval
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Massive Text Embedding Benchmark
1.21k
Tasks:
Text Retrieval
Question Answering
Modalities:
Text
Formats:
parquet
optimized-parquet
Sub-tasks:
multiple-choice-qa
Languages:
Standard Arabic
German
Modern Greek (1453-)
+ 9
Size:
10K - 100K
ArXiv:
arxiv:
1910.11856
arxiv:
2502.13595
arxiv:
2210.07316
Tags:
mteb
text
Libraries:
Datasets
pandas
Polars
+ 1
License:
cc-by-sa-4.0
Dataset card
Data Studio
Files
Files and versions
xet
Community
main
XQuADRetrieval
/
vi-queries
Commit History
Oct 21, 2025
10:59
Add vi-queries-queries
Samoed
Verified signature
3481fca
