google-research-datasets/coached_conv_pref
A dataset consisting of 502 English dialogs with 12,000 annotated utterances between a user and an assistant discussing movie preferences in natural language. It was collected using a Wizard-of-Oz methodology between two paid crowd-workers, where one worker plays the role of an 'assistant', while the other plays the role of a 'user'. The 'assistant' elicits the 'user’s' preferences about movies following a Coached Conversational Preference Elicitation (CCPE) method. The assistant asks questions designed to minimize the bias in the terminology the 'user' employs to convey his or her preferences
| Author / organization | google-research-datasets |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 220 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 2 March 2022 |
| Last updated at source | 18 January 2024 |
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