The NEG-1500-SIMP-TEMP is the extension of NEG-136-SIMP. It is created using a template derived from original papers.

 If this dataset is useful to you please cite our work

 @article{shivagunde2023larger,
  title={Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning},
  author={Shivagunde, Namrata and Lialin, Vladislav and Rumshisky, Anna},
  journal={arXiv preprint arXiv:2303.16445},
  year={2023}
}
size_categories:1K<n<10K language:en license:mit region:us
{"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"]}
TAGS
#size_categories-1K<n<10K #language-English #license-mit #region-us 

The NEG-1500-SIMP-TEMP is the extension of NEG-136-SIMP. It is created using a template derived from original papers.

 If this dataset is useful to you please cite our work

 @article{shivagunde2023larger,
  title={Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning},
  author={Shivagunde, Namrata and Lialin, Vladislav and Rumshisky, Anna},
  journal={arXiv preprint arXiv:2303.16445},
  year={2023}
}
TAGS
#size_categories-1K<n<10K #language-English #license-mit #region-us 

passage: TAGS
#size_categories-1K<n<10K #language-English #license-mit #region-us 
