Instructions: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Input: We evaluated the proposed model using the publicly available LibriSpeech ASR corpus BIBREF23. The LibriSpeech dataset consists of 970 hours of audio data with corresponding text transcripts (around 10M word tokens) and an additional 800M word token text only dataset.
Question: How big is LibriSpeech dataset?
Output:
970 hours of audio data with corresponding text transcripts (around 10M word tokens) and an additional 800M word token text only dataset