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Interview: A Large-Scale Open-Source Corpus of Media Dialog
[article]
2020
arXiv
pre-print
Existing conversational datasets consist either of written proxies for dialog or small-scale transcriptions of natural speech. We introduce 'Interview': a large-scale (105K conversations) media dialog dataset collected from news interview transcripts. Compared to existing large-scale proxies for conversational data, language models trained on our dataset exhibit better zero-shot out-of-domain performance on existing spoken dialog datasets, demonstrating its usefulness in modeling real-world
arXiv:2004.03090v1
fatcat:3xpvcou6inhb3fiknjpkheocrq