Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-label-classification
Languages:
Polish
Size:
10K - 100K
License:
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README.md
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task_ids:
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- multi-label-classification
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license: cc-by-4.0
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---
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## Dataset
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## References
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<span id="ref-1">1. Koptyra, Bartłomiej, et al. "CLARIN-Emo: Training Emotion Recognition Models Using Human Annotation and ChatGPT." International Conference on Computational Science. Cham: Springer Nature Switzerland, 2023.</span>
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<span id="ref-2">2. Kocoń, Jan, et al. "ChatGPT: Jack of all trades, master of none." Information Fusion (2023): 101861.</span>
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task_ids:
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- multi-label-classification
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license: cc-by-4.0
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size_categories:
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- n<1K
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---
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## Dataset
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## References
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<span id="ref-1">1. Koptyra, Bartłomiej, et al. "CLARIN-Emo: Training Emotion Recognition Models Using Human Annotation and ChatGPT." International Conference on Computational Science. Cham: Springer Nature Switzerland, 2023.</span>
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<span id="ref-2">2. Kocoń, Jan, et al. "ChatGPT: Jack of all trades, master of none." Information Fusion (2023): 101861.</span>
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## Licensing information
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CC BY 4.0
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## Citation information
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```
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@article{kocon2023chatgpt,
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title={ChatGPT: Jack of all trades, master of none},
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author={Koco{'n}, Jan and Cichecki, Igor and Kaszyca, Oliwier and Kochanek, Mateusz and Szyd{\l}o, Dominika and Baran, Joanna and Bielaniewicz, Julita and Gruza, Marcin and Janz, Arkadiusz and Kanclerz, Kamil and others},
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journal={Information Fusion},
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volume={99},
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pages={101861},
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year={2023},
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publisher={Elsevier}
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}
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@inproceedings{koptyra2023clarin,
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title={Clarin-Emo: Training emotion recognition models using human annotation and ChatGPT},
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author={Koptyra, Bart{\l}omiej and Ngo, Anh and Radli{'n}ski, {\L}ukasz and Koco{'n}, Jan},
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booktitle={International Conference on Computational Science},
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pages={365--379},
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year={2023},
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organization={Springer}
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}
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@inproceedings{koptyra2024poleval,
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title={PolEval 2024 Task 2: Emotion and Sentiment Recognition},
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author={Koptyra, Bart{\l}omiej and Koco{'n}, Jan},
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booktitle={Proceedings of the PolEval 2024 Workshop},
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year={2024},
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organization={Institute of Computer Science, Polish Academy of Sciences}
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}
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```
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