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MaSaC_ERC

Introduced by Shivani Kumar et al. in From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues19 Oct 2023 archive 2025-07-28

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.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Emotion Recognition MaSaC_ERC MaSaC-ERC-Z F1-score (Weighted) 51.17 FeedForward at SemEval-2024 Task 10: Trigger and... Zuhashaik/Multi-Party-DialoZ 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 2. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • MaSaC_ERC

1 variant name, as the archive lists them.

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