Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
| dataset_info: | |
| - config_name: simplified_ekman | |
| features: | |
| - name: text | |
| dtype: string | |
| - name: labels | |
| dtype: | |
| list: | |
| class_label: | |
| names: | |
| - admiration | |
| - amusement | |
| - anger | |
| - annoyance | |
| - approval | |
| - caring | |
| - confusion | |
| - curiosity | |
| - desire | |
| - disappointment | |
| - disapproval | |
| - disgust | |
| - embarrassment | |
| - excitement | |
| - fear | |
| - gratitude | |
| - grief | |
| - joy | |
| - love | |
| - nervousness | |
| - optimism | |
| - pride | |
| - realization | |
| - relief | |
| - remorse | |
| - sadness | |
| - surprise | |
| - neutral | |
| - name: labels_ekman | |
| dtype: | |
| list: | |
| class_label: | |
| names: | |
| - anger | |
| - disgust | |
| - fear | |
| - joy | |
| - sadness | |
| - surprise | |
| - neutral | |
| - name: id | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 10670621 | |
| num_examples: 43410 | |
| - name: validation | |
| num_bytes: 1330969 | |
| num_examples: 5426 | |
| - name: test | |
| num_bytes: 1323849 | |
| num_examples: 5427 | |
| download_size: 7683063 | |
| dataset_size: 13325439 | |
| configs: | |
| - config_name: simplified_ekman | |
| data_files: | |
| - split: train | |
| path: simplified_ekman/train-* | |
| - split: validation | |
| path: simplified_ekman/validation-* | |
| - split: test | |
| path: simplified_ekman/test-* | |
| license: apache-2.0 | |
| task_categories: | |
| - text-classification | |
| language: | |
| - en | |
| # GoEmotions dataset | |
| The original dataset: [GoEmotions](https://huggingface.co/datasets/google-research-datasets/go_emotions) ([paper](https://aclanthology.org/2020.acl-main.372/)). | |
| The derived dataset contains an additional `labels_ekman` column with emotion labels as per [Paul Ekman's theory](https://en.wikipedia.org/wiki/Emotion_classification). | |
| - The original 27 + `neutral` emotion labels (may contain more than one label per sample): | |
| ```yaml | |
| 0: admiration | |
| 1: amusement | |
| 2: anger | |
| 3: annoyance | |
| 4: approval | |
| 5: caring | |
| 6: confusion | |
| 7: curiosity | |
| 8: desire | |
| 9: disappointment | |
| 10: disapproval | |
| 11: disgust | |
| 12: embarrassment | |
| 13: excitement | |
| 14: fear | |
| 15: gratitude | |
| 16: grief | |
| 17: joy | |
| 18: love | |
| 19: nervousness | |
| 20: optimism | |
| 21: pride | |
| 22: realization | |
| 23: relief | |
| 24: remorse | |
| 25: sadness | |
| 26: surprise | |
| 27: neutral | |
| ``` | |
| - The basic 6 + `neutral` emotion labels (may contain more than one label per sample): | |
| ```yaml | |
| 0: anger | |
| 1: disgust | |
| 2: fear | |
| 3: joy | |
| 4: sadness | |
| 5: surprise | |
| 6: neutral | |
| ``` | |
| Mapping from the 27 fine-grained emotions to the 6 basic emotions: | |
| | GoEmotions | Ekman | | |
| |---|---| | |
| | admiration | joy | | |
| | amusement | joy | | |
| | anger | anger | | |
| | annoyance | anger | | |
| | approval | joy | | |
| | caring | joy | | |
| | confusion | surprise | | |
| | curiosity | surprise | | |
| | desire | joy | | |
| | disappointment | sadness | | |
| | disapproval | anger | | |
| | disgust | disgust | | |
| | embarrassment | sadness | | |
| | excitement | joy | | |
| | fear | fear | | |
| | gratitude | joy | | |
| | grief | sadness | | |
| | joy | joy | | |
| | love | joy | | |
| | nervousness | fear | | |
| | optimism | joy | | |
| | pride | joy | | |
| | realization | surprise | | |
| | relief | joy | | |
| | remorse | sadness | | |
| | sadness | sadness | | |
| | surprise | surprise | | |
| ## Acknowledgements | |
| This work was supported by the EU Recovery and Resilience Facility project [Language Technology Initiative](https://www.vti.lu.lv) (2.3.1.1.i.0/1/22/I/CFLA/002). |