Datasets:

jeffnyman
/

emotions

- {"description": "\nEmotions is a dataset of English Twitter messages with six basic emotions:\nanger, fear, joy, love, sadness, and surprise. For more detailed information\nplease 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://huggingface.co/datasets/jeffnyman/emotions", "license": "cc-by-sa-4.0", "features": {"text": {"dtype": "string", "_type": "Value"}, "label": {"names": ["sadness", "joy", "love", "anger", "fear", "surprise"], "_type": "ClassLabel"}}, "supervised_keys": {"input": "text", "output": "label"}, "task_templates": [{"task": "text-classification", "label_column": "label"}], "builder_name": "emotions", "dataset_name": "emotions", "config_name": "split", "version": {"version_str": "1.0.0", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1741533, "num_examples": 16000, "dataset_name": "emotions"}, "validation": {"name": "validation", "num_bytes": 214695, "num_examples": 2000, "dataset_name": "emotions"}, "test": {"name": "test", "num_bytes": 217173, "num_examples": 2000, "dataset_name": "emotions"}}, "download_checksums": {"data/train.jsonl.gz": {"num_bytes": 591930, "checksum": null}, "data/validation.jsonl.gz": {"num_bytes": 74018, "checksum": null}, "data/test.jsonl.gz": {"num_bytes": 74935, "checksum": null}}, "download_size": 740883, "dataset_size": 2173401, "size_in_bytes": 2914284}