| {"cakiki--emotion-with-length": { | |
| "description": "Emotion is a dataset of English Twitter messages with six basic emotions: anger, fear, joy, love, sadness, and surprise. For more detailed information please refer to the paper.\n", | |
| "citation": "@inproceedings{saravia-etal-2018-carer,\n title = \"{CARER}: Contextualized Affect Representations for Emotion Recognition\",\n author = \"Saravia, Elvis and\n Liu, Hsien-Chi Toby and\n Huang, Yen-Hao and\n Wu, Junlin and\n Chen, Yi-Shin\",\n booktitle = \"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing\",\n month = oct # \"-\" # nov,\n year = \"2018\",\n address = \"Brussels, Belgium\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/D18-1404\",\n doi = \"10.18653/v1/D18-1404\",\n pages = \"3687--3697\",\n abstract = \"Emotions are expressed in nuanced ways, which varies by collective or individual experiences, knowledge, and beliefs. Therefore, to understand emotion, as conveyed through text, a robust mechanism capable of capturing and modeling different linguistic nuances and phenomena is needed. We propose a semi-supervised, graph-based algorithm to produce rich structural descriptors which serve as the building blocks for constructing contextualized affect representations from text. The pattern-based representations are further enriched with word embeddings and evaluated through several emotion recognition tasks. Our experimental results demonstrate that the proposed method outperforms state-of-the-art techniques on emotion recognition tasks.\",\n}\n", | |
| "homepage": "https://github.com/dair-ai/emotion_dataset", | |
| "license": "", | |
| "features": { | |
| "text": { | |
| "dtype": "string", | |
| "id": null, | |
| "_type": "Value" | |
| }, | |
| "label": { | |
| "num_classes": 6, | |
| "names": [ | |
| "sadness", | |
| "joy", | |
| "love", | |
| "anger", | |
| "fear", | |
| "surprise" | |
| ], | |
| "id": null, | |
| "_type": "ClassLabel" | |
| }, | |
| "tweet_length": { | |
| "dtype": "int64", | |
| "id": null, | |
| "_type": "Value" | |
| } | |
| }, | |
| "post_processed": null, | |
| "supervised_keys": { | |
| "input": "text", | |
| "output": "label" | |
| }, | |
| "task_templates": [ | |
| { | |
| "task": "text-classification", | |
| "text_column": "text", | |
| "label_column": "label" | |
| } | |
| ], | |
| "builder_name": "emotion", | |
| "config_name": "default", | |
| "version": { | |
| "version_str": "0.0.0", | |
| "description": null, | |
| "major": 0, | |
| "minor": 0, | |
| "patch": 0 | |
| }, | |
| "splits": { | |
| "train": { | |
| "name": "train", | |
| "num_bytes": 1869533, | |
| "num_examples": 16000, | |
| "dataset_name": "emotion-with-length" | |
| } | |
| }, | |
| "download_checksums": null, | |
| "download_size": 1026123, | |
| "post_processing_size": null, | |
| "dataset_size": 1869533, | |
| "size_in_bytes": 2895656 | |
| }} |