awsaf49/persona-chat
Dataset Card for PersonaChat Dataset Description PersonaChat is a multi-turn dialogue dataset introduced by Zhang et al. (2018) for training and evaluating persona-grounded conversational agents. Each conversation is between two crowdworkers, each assigned a randomly selected persona consisting of several simple facts. The dataset aims to assess whether models can maintain consistent character traits throughout a conversation. Original Paper: Personalizing… See the full description on the dataset page: https://huggingface.co/datasets/awsaf49/persona-chat.
| Author / organization | awsaf49 |
|---|---|
| License (as declared) | mit |
| Downloads | 397 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 25 June 2025 |
| Last updated at source | 25 June 2025 |
Popularity, last 2 days
397 now (+6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Dataset Card for PersonaChat Dataset Description PersonaChat is a multi-turn dialogue dataset introduced by Zhang et al. (2018) for training and evaluating persona-grounded conversational agents. Each conversation is between two crowdworker → Dataset Card for PersonaChat Dataset Description PersonaChat is a multi-turn dialogue dataset introduced by Zhang et al. (2018) for training and evaluating persona-grounded conversational agents. Each conversation is between two crowdworker
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