Datasets:
Tasks:
Question Answering
Formats:
parquet
Sub-tasks:
open-domain-qa
Languages:
English
Size:
10K - 100K
License:
Update README.md
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### Contributions
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Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset.
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### Contributions
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Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset.
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## Quality
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[](https://labelsets.ai/catalog/openbookqa)
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Independent quality score: **LQS 85 / 100** (tier: *gold*).
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Scored by [LabelSets](https://labelsets.ai) using LQS v3.1 — a 19-dimension dataset-quality
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methodology with multi-oracle consensus and contamination checks against 40+
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public eval benchmarks.
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- **Methodology:** https://labelsets.ai/index-methodology
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- **Full report:** https://labelsets.ai/catalog/openbookqa
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- **Open data:** https://labelsets.ai/api/lqs-index
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LabelSets is independent — no paid placement, no commercial relationship with
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the dataset maintainers. Scoring is reproducible from public metadata;
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methodology and source rules are open.
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