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Datasets:
julien-c
/
reactiongif

Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
sentiment-classification
Languages:
English
Size:
10K<n<100K
ArXiv:
License:
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ReactionGIF

From https://github.com/bshmueli/ReactionGIF

gif

Excerpt from original repo readme

ReactionGIF is a unique, first-of-its-kind dataset of 30K sarcastic tweets and their GIF reactions.

To find out more about ReactionGIF, check out our ACL 2021 paper:

Citation

If you use our dataset, kindly cite the paper using the following BibTex entry:

@misc{shmueli2021happy,
      title={Happy Dance, Slow Clap: Using Reaction {GIFs} to Predict Induced Affect on {Twitter}}, 
      author={Boaz Shmueli and Soumya Ray and Lun-Wei Ku},
      year={2021},
      eprint={2105.09967},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
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