Catkamakura/ts-qa

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at cedb333
Licence files: No licence file at the top level of the repositoryEvidence: file list at cedb333
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

@inproceedings{liska2022streamingqa,
  title={StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models},
  author={Liska, Adam and Kocisky, Tomas and Gribovskaya, Elena and Terber, Tayfun and Shutova, Ekaterina and Glaese, Amelia},
  booktitle={International Conference on Machine Learning},
  pages={13604--13622},
  year={2022},
  organization={PMLR}
}

@inproceedings{chen2021timeqa,
  title={A Dataset for Answering Time-Sensitive Questions},
  author={Chen, Wenhu and Wang, Xinyi and Wang, William Yang},
  booktitle={NeurIPS 2021 Datasets and Benchmarks Track},
  year={2021}
}

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dataset_licence({ "id": "Catkamakura/ts-qa" })
signal: "permissive"
stated_licence: "mit"
sources: 0