{"url":"/dataset/resd","name":"RESD","full_name":"Russian Emotional Speech Dialogs with annotated text","description_markdown":"Russian dataset of emotional speech dialogues. This dataset was assembled from ~3.5 hours of live speech by actors who voiced pre-distributed emotions in the dialogue for ~3 minutes each. <br>\r\nEach sample of dataset contains name of part from the original dataset studio source, speech file (16000 or 44100Hz) of human voice, 1 of 7 labeled emotions and the speech-to-texted part of voice speech. <br>\r\n\r\nEmotions are represented in 7 states: **anger**, **disgust**, **fear**, **enthusiasm**, **happiness**, **neutral** and **sadness**.\r\n\r\nThis dataset was created by Artem Amentes, Nikita Davidchuk and Ilya Lubenets\r\n\r\n```\r\n@misc{Aniemore,\r\n  author = {Артем Аментес, Илья Лубенец, Никита Давидчук},\r\n  title = {Открытая библиотека искусственного интеллекта для анализа и выявления эмоциональных оттенков речи человека},\r\n  year = {2022},\r\n  publisher = {Hugging Face},\r\n  journal = {Hugging Face Hub},\r\n  howpublished = {\\url{https://huggingface.com/aniemore/Aniemore}},\r\n  email = {hello@socialcode.ru}\r\n}\r\n```","description_withheld":null,"homepage":"https://huggingface.co/datasets/Aniemore/resd_annotated","introduced_date":"2024-06-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/emobox-multilingual-multi-corpus-speech","title":"EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark","first_author":"Ziyang Ma","url":null},"license":{"name":"MIT","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Audio","url":"/datasets/modality/audio"},{"name":"Speech","url":"/datasets/modality/speech"}],"tasks":[{"name":"Speech Recognition","url":"/task/speech-recognition","datasets_with_task":"/datasets/task/speech-recognition"},{"name":"Text Classification","url":"/task/text-classification","datasets_with_task":"/datasets/task/text-classification"},{"name":"Speech Emotion Recognition","url":"/task/speech-emotion-recognition","datasets_with_task":"/datasets/task/speech-emotion-recognition"},{"name":"Multimodal Emotion Recognition","url":"/task/multimodal-emotion-recognition","datasets_with_task":"/datasets/task/multimodal-emotion-recognition"}],"languages":[{"name":"Russian","url":"/datasets/language/russian"}],"variants":["RESD"],"data_loaders":[{"repo":"https://github.com/aniemore/aniemore","url":"https://huggingface.co/datasets/Aniemore/resd_annotated","frameworks":["tf","pytorch"]}],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/speech-emotion-recognition-on-resd","task":"Speech Emotion Recognition","dataset_variant":"RESD","rows":3,"metrics":["Weighted Accuracy (WA)","Unweighted Accuracy (UA)","Weighted F1"],"first_row_in_archive_order":{"model":"emotion2vec+base","paper":"/paper/emotion2vec-self-supervised-pre-training-for","metrics":{"Unweighted Accuracy (UA)":"79.8","Weighted Accuracy (WA)":"79.4","Weighted F1":"79.4"},"code_links":[{"title":"alibaba-damo-academy/FunASR","url":"https://github.com/alibaba-damo-academy/FunASR"},{"title":"ddlBoJack/emotion2vec","url":"https://github.com/ddlBoJack/emotion2vec"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/emotion2vec-self-supervised-pre-training-for","title":"emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation","date":"2023-12-23","rows_on_this_dataset":3,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":20,"samples_ran":8,"samples_unverified":12,"pointer_only_for_licence":9,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":20,"samples_ran":8,"samples_unverified":12,"pointer_only_for_licence":9,"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."}