ishiki-labs/multi-party-dialogue
Dataset Card for Multi-Party Dialogue Dataset Details Dataset Description This dataset is designed for proactive decision prediction (SPEAK or REMAIN SILENT) in multi-party conversations: given a conversational context and a current utterance, the task is to predict whether a specific participant (the target speaker) will speak next (SPEAK) or remain silent (SILENT). Each sample captures a decision point in a conversation — a moment where the target… See the full description on the dataset page: https://huggingface.co/datasets/ishiki-labs/multi-party-dialogue.
| Author / organization | ishiki-labs |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 150 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 8 March 2026 |
| Last updated at source | 13 March 2026 |
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- 16 Oct 2026 Description: Dataset Card for Multi-Party Dialogue Dataset Details Dataset Description This dataset is designed for proactive decision prediction (SPEAK or REMAIN SILENT) in multi-party conversations: given a conversational context and a current utteran → Dataset Card for Multi-Party Dialogue Dataset Details Dataset Description This dataset is designed for proactive decision prediction (SPEAK or REMAIN SILENT) in multi-party conversations: given a conversational context and a current utteran
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