size_categories:10K<n<100K format:parquet modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: instruction
    dtype: string
  - name: input
    dtype: string
  - name: output
    dtype: string
  - name: inst_number
    dtype: int64
  - name: task
    dtype: string
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: test
    num_bytes: 5820049
    num_examples: 13269
  download_size: 1530049
  dataset_size: 5820049
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
---
### Citation Information

```
Liu, Z., Yang, K., Xie, Q., Zhang, T., & Ananiadou, S. (2024, August). Emollms: A series of emotional large language models and annotation tools
 for comprehensive affective analysis. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 5487-5496).
```