{"url":"/dataset/empatheticdialogues","name":"EmpatheticDialogues","full_name":null,"description_markdown":"The **EmpatheticDialogues** dataset is a large-scale multi-turn empathetic dialogue dataset collected on the Amazon Mechanical Turk, containing 24,850 one-to-one open-domain conversations. Each conversation was obtained by pairing two crowd-workers: a speaker and a listener. The speaker is asked to talk about the personal emotional feelings. The listener infers the underlying emotion through what the speaker says and responds empathetically. The dataset provides 32 evenly distributed emotion labels.\r\n\r\nSource: [Empathetic Dialogue Generation viaKnowledge Enhancing and Emotion Dependency Modeling](https://arxiv.org/abs/2009.09708)\r\nImage Source: [Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset](https://arxiv.org/pdf/1811.00207.pdf)","description_withheld":null,"homepage":"https://github.com/facebookresearch/EmpatheticDialogues","introduced_date":"2019-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/i-know-the-feeling-learning-to-converse-with","title":"Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset","first_author":"Hannah Rashkin","url":null},"license":{"name":"Attribution-NonCommercial 4.0 International","url":"https://github.com/facebookresearch/EmpatheticDialogues/blob/master/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Dialog","url":"/datasets/modality/dialog"}],"tasks":[{"name":"Visual Dialog","url":"/task/visual-dialogue","datasets_with_task":"/datasets/task/visual-dialogue"},{"name":"Empathetic Response Generation","url":"/task/empathetic-response-generation","datasets_with_task":"/datasets/task/empathetic-response-generation"}],"languages":[],"variants":["EmpatheticDialogues"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/facebook/empathetic_dialogues","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/empathetic_dialogues","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/facebookresearch/ParlAI","url":"https://parl.ai/docs/tasks.html#empathetic-dialogues","frameworks":["pytorch"]},{"repo":"https://github.com/facebookresearch/EmpatheticDialogues","url":"https://github.com/facebookresearch/EmpatheticDialogues","frameworks":["pytorch"]}],"num_papers_in_archive":64,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/empathetic-response-generation-on","task":"Empathetic Response Generation","dataset_variant":"EmpatheticDialogues","rows":2,"metrics":["BLEU"],"first_row_in_archive_order":{"model":"Emotion-aware transformer encoder (Transformer-XL)","paper":null,"metrics":{"BLEU":"0.225"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/visual-dialog-on-empatheticdialogues","task":"Visual Dialog","dataset_variant":"EmpatheticDialogues","rows":1,"metrics":["BLEU-4","F1","ROUGE-L"],"first_row_in_archive_order":{"model":"Multi-Modal BlenderBot","paper":"/paper/multi-modal-open-domain-dialogue","metrics":{"BLEU-4":"1.5","F1":"19.2","ROUGE-L":"24.5"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/emotion-aware-transformer-encoder-for-1","title":"Emotion-Aware Transformer Encoder for Empathetic Dialogue Generation","date":"2022-04-24","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/multi-modal-open-domain-dialogue","title":"Multi-Modal Open-Domain Dialogue","date":"2020-10-02","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"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."}