Datasets:

soda-lmu
/

tweet-annotation-sensitivity-2

Tasks:

Text Classification

Modalities:

Formats:

Sub-tasks:

sentiment-classification

hate-speech-detection

Languages:

Size:

Libraries:

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boleima commited on Sep 14, 2023

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@@ -80,5 +80,5 @@ We recruited US-based annotators from the crowdsourcing platform [Prolific](http
 ## Citation
-If you found the dataset useful, please cite our dataset page: [https://huggingface.co/datasets/soda-lmu/tweet-annotation-experiments](https://huggingface.co/datasets/soda-lmu/tweet-annotation-experiments).


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81	## Citation
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83	+ If you find the dataset useful, please cite our dataset page: [https://huggingface.co/datasets/soda-lmu/tweet-annotation-experiments](https://huggingface.co/datasets/soda-lmu/tweet-annotation-experiments).
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