

## ReactionGIF

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

![gif](https://huggingface.co/datasets/julien-c/reactiongif/resolve/main/hug.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:

* Shmueli, Ray and Ku, [Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter](https://arxiv.org/abs/2105.09967)


## Citation

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

```bibtex
@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}
}
```


task_categories:text-classification task_ids:sentiment-classification annotations_creators:crowdsourced language_creators:crowdsourced multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:en license:unknown arxiv:2105.09967 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "paperswithcode_id": "reactiongif"}
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-unknown #arxiv-2105.09967 #region-us 



## ReactionGIF

> From URL

!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:

* Shmueli, Ray and Ku, Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter


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




## ReactionGIF

> From URL

!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:

* Shmueli, Ray and Ku, Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter


If you use our dataset, kindly cite the paper using the following BibTex entry:
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-unknown #arxiv-2105.09967 #region-us 
 ## ReactionGIF

> From URL

!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:

* Shmueli, Ray and Ku, Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter


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