{"url":"/dataset/emotion","name":"CARER","full_name":"Contextualized Affect Representations for Emotion Recognition","description_markdown":"CARER is an emotion dataset collected through noisy labels, annotated via distant supervision as in (Go et al., 2009). \r\n\r\nThe subset of data provided here corresponds to the six emotions variant described in the paper. The six emotions are anger, fear, joy, love, sadness, and surprise.\r\n\r\nSource: [CARER: Contextualized Affect Representations for Emotion Recognition](/paper/carer-contextualized-affect-representations)","description_withheld":null,"homepage":"https://github.com/dair-ai/emotion_dataset","introduced_date":"2018-11-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/carer-contextualized-affect-representations","title":"CARER: Contextualized Affect Representations for Emotion Recognition","first_author":"Elvis Saravia","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Classification","url":"/task/text-classification","datasets_with_task":"/datasets/task/text-classification"},{"name":"Emotion Recognition","url":"/task/emotion-recognition","datasets_with_task":"/datasets/task/emotion-recognition"},{"name":"Semantic Textual Similarity","url":"/task/semantic-textual-similarity","datasets_with_task":"/datasets/task/semantic-textual-similarity"},{"name":"Multi Class Text Classification","url":"/task/multi-class-text-classification","datasets_with_task":"/datasets/task/multi-class-text-classification"},{"name":"Multi Label Text Classification","url":"/task/multi-label-text-classification-1","datasets_with_task":"/datasets/task/multi-label-text-classification-1"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CARER","emotion","tweet_eval","go_emotions"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/amaniabuzaid/emotion","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/emotion","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/philschmid/emotion","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/lewtun/autoevaluate_emotion","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/lewtun/autoevaluate__emotion","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/zbnsl/emoteModified","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/dair-ai/emotion","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/AdamCodd/emotion-balanced","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/dair-ai/emotion_dataset","url":"https://github.com/dair-ai/emotion_dataset","frameworks":[]}],"num_papers_in_archive":123,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/text-classification-on-emotion","task":"Text Classification","dataset_variant":"emotion","rows":0,"metrics":["Accuracy","F1","F1 Macro","F1 Micro","F1 Weighted","Precision Macro","Precision Micro","Precision Weighted","Recall Macro","Recall Micro","Recall Weighted","loss"],"first_row_in_archive_order":null,"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/text-classification-on-tweet-eval","task":"Text Classification","dataset_variant":"tweet_eval","rows":0,"metrics":["F1"],"first_row_in_archive_order":null,"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}