google-research-datasets/go_emotions
Text ClassificationENBenchmarkapache-2.0
The google-research-datasets/go_emotions dataset is a EN text classification resource from google-research-datasets at 2022 comprising 265,488 examples. With 11.5K downloads and 262 likes, it is actively used by the community. It is released under the apache-2.0 license and is a 100K<n<1M-scale dataset.
📊 This dataset is used as an LLM benchmark. See model leaderboards →
About google-research-datasets/go_emotions
Dataset Card for GoEmotions
Dataset Summary
The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral.
The raw data is included as well as the smaller, simplified version of th...
Details
- Task
- Text Classification
- Language
- EN
- Format
- Parquet
- Rows / instances
- 265488
- Size
- 100K<n<1M
- Creator
- google-research-datasets
- Year
- 2022
- License
- apache-2.0
- Downloads
- 11467
- Likes
- 262