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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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+ [![LabelSets LQS 85 / gold](https://labelsets.ai/badge/openbookqa.svg)](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.