Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-label-classification
Languages:
Polish
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
CHANGED
@@ -57,6 +57,8 @@ tags:
|
|
57 |
task_ids:
|
58 |
- multi-label-classification
|
59 |
license: cc-by-4.0
|
|
|
|
|
60 |
---
|
61 |
|
62 |
## Dataset
|
@@ -112,4 +114,39 @@ and the review as a whole, starting from "Była to pierwsza wizyta ale moze i os
|
|
112 |
## References
|
113 |
<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>
|
114 |
|
115 |
-
<span id="ref-2">2. Kocoń, Jan, et al. "ChatGPT: Jack of all trades, master of none." Information Fusion (2023): 101861.</span>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
57 |
task_ids:
|
58 |
- multi-label-classification
|
59 |
license: cc-by-4.0
|
60 |
+
size_categories:
|
61 |
+
- n<1K
|
62 |
---
|
63 |
|
64 |
## Dataset
|
|
|
114 |
## References
|
115 |
<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>
|
116 |
|
117 |
+
<span id="ref-2">2. Kocoń, Jan, et al. "ChatGPT: Jack of all trades, master of none." Information Fusion (2023): 101861.</span>
|
118 |
+
|
119 |
+
## Licensing information
|
120 |
+
|
121 |
+
CC BY 4.0
|
122 |
+
|
123 |
+
## Citation information
|
124 |
+
|
125 |
+
```
|
126 |
+
@article{kocon2023chatgpt,
|
127 |
+
title={ChatGPT: Jack of all trades, master of none},
|
128 |
+
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},
|
129 |
+
journal={Information Fusion},
|
130 |
+
volume={99},
|
131 |
+
pages={101861},
|
132 |
+
year={2023},
|
133 |
+
publisher={Elsevier}
|
134 |
+
}
|
135 |
+
|
136 |
+
@inproceedings{koptyra2023clarin,
|
137 |
+
title={Clarin-Emo: Training emotion recognition models using human annotation and ChatGPT},
|
138 |
+
author={Koptyra, Bart{\l}omiej and Ngo, Anh and Radli{'n}ski, {\L}ukasz and Koco{'n}, Jan},
|
139 |
+
booktitle={International Conference on Computational Science},
|
140 |
+
pages={365--379},
|
141 |
+
year={2023},
|
142 |
+
organization={Springer}
|
143 |
+
}
|
144 |
+
|
145 |
+
@inproceedings{koptyra2024poleval,
|
146 |
+
title={PolEval 2024 Task 2: Emotion and Sentiment Recognition},
|
147 |
+
author={Koptyra, Bart{\l}omiej and Koco{'n}, Jan},
|
148 |
+
booktitle={Proceedings of the PolEval 2024 Workshop},
|
149 |
+
year={2024},
|
150 |
+
organization={Institute of Computer Science, Polish Academy of Sciences}
|
151 |
+
}
|
152 |
+
```
|