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Examples taken from the Winograd Schema Challenge modified to ensure that answers are a single word from the context.
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This Modified Winograd Schema Challenge (MWSC) ensures that scores are neither inflated nor deflated by oddities in phrasing.
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### Supported Tasks and Leaderboards
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Languages
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Dataset Structure
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### Data Instances
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|default| 80| 82| 100|
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## Dataset Creation
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### Curation Rationale
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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#### Who are the source language producers?
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Annotations
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#### Annotation process
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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#### Who are the annotators?
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Personal and Sensitive Information
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Discussion of Biases
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Other Known Limitations
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Additional Information
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### Dataset Curators
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Licensing Information
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Our code for running decaNLP has been open sourced under BSD-3-Clause.
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If you use this in your work, please cite:
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```
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@article{McCann2018decaNLP,
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title={The Natural Language Decathlon: Multitask Learning as Question Answering},
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author={Bryan McCann and Nitish Shirish Keskar and Caiming Xiong and Richard Socher},
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journal={arXiv preprint arXiv:1806.08730},
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year={2018}
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}
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```
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### Contributions
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Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@ghomasHudson](https://github.com/ghomasHudson), [@lhoestq](https://github.com/lhoestq) for adding this dataset.
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Examples taken from the Winograd Schema Challenge modified to ensure that answers are a single word from the context.
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This Modified Winograd Schema Challenge (MWSC) ensures that scores are neither inflated nor deflated by oddities in phrasing.
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## Dataset Structure
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### Data Instances
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|-------|----:|---------:|---:|
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|default| 80| 82| 100|
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### Licensing Information
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Our code for running decaNLP has been open sourced under BSD-3-Clause.
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If you use this in your work, please cite:
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```
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@inproceedings{10.5555/3031843.3031909,
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author = {Levesque, Hector J. and Davis, Ernest and Morgenstern, Leora},
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title = {The Winograd Schema Challenge},
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year = {2012},
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isbn = {9781577355601},
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publisher = {AAAI Press},
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abstract = {In this paper, we present an alternative to the Turing Test that has some conceptual and practical advantages. A Wino-grad schema is a pair of sentences that differ only in one or two words and that contain a referential ambiguity that is resolved in opposite directions in the two sentences. We have compiled a collection of Winograd schemas, designed so that the correct answer is obvious to the human reader, but cannot easily be found using selectional restrictions or statistical techniques over text corpora. A contestant in the Winograd Schema Challenge is presented with a collection of one sentence from each pair, and required to achieve human-level accuracy in choosing the correct disambiguation.},
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booktitle = {Proceedings of the Thirteenth International Conference on Principles of Knowledge Representation and Reasoning},
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pages = {552–561},
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numpages = {10},
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location = {Rome, Italy},
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series = {KR'12}
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}
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@article{McCann2018decaNLP,
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title={The Natural Language Decathlon: Multitask Learning as Question Answering},
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author={Bryan McCann and Nitish Shirish Keskar and Caiming Xiong and Richard Socher},
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journal={arXiv preprint arXiv:1806.08730},
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year={2018}
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}
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```
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