Dataset · Hugging Face

mlburnham/Pol_NLI

Name: Pol_NLI
Creator: mlburnham
Keywords: task_categories:text-classification, task_categories:zero-shot-classification, language:en, size_categories:100K<n<1M, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2409.02078, region:us

Dataset Card for "Pol_NLI" More Information needed Citation To cite the paper introducing this dataset, please use: @misc{burnham2024politicaldebateefficientzeroshot, title={Political DEBATE: Efficient Zero-shot and Few-shot Classifiers for Political Text}, author={Michael Burnham and Kayla Kahn and Ryan Yank Wang and Rachel X. Peng}, year={2024}, eprint={2409.02078}, archivePrefix={arXiv}, primaryClass={cs.CL}… See the full description on the dataset page: https://huggingface.co/datasets/mlburnham/Pol_NLI.

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Author / organization	mlburnham
Downloads	177 (as reported by Hugging Face)
Likes	6
Created	22 July 2024
Last updated at source	5 September 2024

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mlburnham/Political_DEBATE_base_v1.0Model · used to train
mlburnham/Political_DEBATE_large_v1.0Model · used to train

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