Luigi/

dinercall-intent

DinerCall Intent is a fully synthesized intent classification dataset composed of answering machine messages from a diner restaurant. The transcriptions simulate ASR outputs (with typical speech-to-text errors). Over 80% of the messages are in Taiwan Chinese, with the remainder in English. The dataset was generated using OpenAI ChatGPT. Format: CSVColumns:

text: ASR-style transcription of the diner’s answering machine message.
intent: The call’s intent… See the full description on the dataset page: https://huggingface.co/datasets/Luigi/dinercall-intent.