Datasets:
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README.md
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# CCFQA
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CCFQA is a speech and text factuality evaluation benchmark that measures language models’ ability to answer short, fact-seeking questions and assess their cross-lingual and cross-modal consistency. It consists of speech and text in 8 languages, containing 1,800 n-way parallel sentences and a total of 14,000 speech samples.
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print(ccfqa)
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```
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## License
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All datasets are licensed under the [Creative Commons Attribution-NonCommercial license (CC-BY-NC)](https://creativecommons.org/licenses/), which allows use, sharing, and adaptation for **non-commercial** purposes only, with proper attribution.
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---
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license: cc-by-nc-sa-4.0
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task_categories:
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- question-answering
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language:
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- cmn
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- eng
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- fra
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- jpn
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- kor
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- rus
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- spa
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- yue
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pretty_name: CCFQA
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size_categories:
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- 10K<n<100K
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---
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# CCFQA
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CCFQA is a speech and text factuality evaluation benchmark that measures language models’ ability to answer short, fact-seeking questions and assess their cross-lingual and cross-modal consistency. It consists of speech and text in 8 languages, containing 1,800 n-way parallel sentences and a total of 14,000 speech samples.
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print(ccfqa)
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```
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## ⚖️ Evals
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please visit [github page](https://github.com/yxduir/ccfqa).
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## License
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All datasets are licensed under the [Creative Commons Attribution-NonCommercial license (CC-BY-NC)](https://creativecommons.org/licenses/), which allows use, sharing, and adaptation for **non-commercial** purposes only, with proper attribution.
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