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Dataset: squadshifts 🏷
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How to load this dataset directly with the πŸ€—/nlp library:

				
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from nlp import load_dataset dataset = load_dataset("squadshifts")

Description

SquadShifts consists of four new test sets for the Stanford Question Answering Dataset (SQuAD) from four different domains: Wikipedia articles, New York \ Times articles, Reddit comments, and Amazon product reviews. Each dataset was generated using the same data generating pipeline, Amazon Mechanical Turk interface, and data cleaning code as the original SQuAD v1.1 dataset. The "new-wikipedia" dataset measures overfitting on the original SQuAD v1.1 dataset. The "new-york-times", "reddit", and "amazon" datasets measure robustness to natural distribution shifts. We encourage SQuAD model developers to also evaluate their methods on these new datasets! \

Citation

@inproceedings{miller2020effect,
  author = {J. Miller and K. Krauth and B. Recht and L. Schmidt},
  booktitle = {International Conference on Machine Learning (ICML)},
  title = {The Effect of Natural Distribution Shift on Question Answering Models},
  year = {2020},
}

Models trained or fine-tuned on squadshifts

None yet. Start fine-tuning now =)