--- 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: 30305716 num_examples: 13269 download_size: 3700795 dataset_size: 30305716 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). ```