{"url":"/dataset/masac-erc","name":"MaSaC_ERC","full_name":null,"description_markdown":"The E-MASAC Dataset is a collection of code-mixed conversations sourced from an Indian TV series, focusing on Hindi-English interactions. It was derived from the MASAC dataset and specifically annotated for Emotion Recognition in Conversations (ERC) tasks. The dataset comprises 8,607 dialogues with 11,440 utterances, containing instances of sarcasm and humor. Emotions such as anger, fear, joy, sadness, surprise, contempt, and neutral are annotated for each utterance by three fluent English and Hindi-speaking linguists, ensuring a high inter-annotator agreement of 0.85.","description_withheld":null,"homepage":"https://github.com/LCS2-IIITD/EMNLP-COFFEE","introduced_date":"2023-10-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/from-multilingual-complexity-to-emotional","title":"From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues","first_author":"Shivani Kumar","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Emotion Recognition","url":"/task/emotion-recognition","datasets_with_task":"/datasets/task/emotion-recognition"},{"name":"Emotion Recognition in Conversation","url":"/task/emotion-recognition-in-conversation","datasets_with_task":"/datasets/task/emotion-recognition-in-conversation"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Hindi","url":"/datasets/language/hindi"}],"variants":["MaSaC_ERC"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/emotion-recognition-on-masac-erc","task":"Emotion Recognition","dataset_variant":"MaSaC_ERC","rows":1,"metrics":["F1-score (Weighted)"],"first_row_in_archive_order":{"model":"MaSaC-ERC-Z","paper":"/paper/feedforward-at-semeval-2024-task-10-trigger","metrics":{"F1-score (Weighted)":"51.17"},"code_links":[{"title":"Zuhashaik/Multi-Party-DialoZ","url":"https://github.com/Zuhashaik/Multi-Party-DialoZ"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/feedforward-at-semeval-2024-task-10-trigger","title":"FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversations","date":"2024-06-20","rows_on_this_dataset":1,"code_links":1,"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."}