instruction:
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.
question:
We draw on a recently released corpus of state speeches delivered during the annual UN General Debate that provides the first dataset of textual output from states that is recorded at regular time-series intervals and includes a sample of all countries that deliver speeches BIBREF11 .  
 Question: Which dataset do they use?
answer:
corpus of state speeches delivered during the annual UN General Debate


question:
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?
answer:
970 hours of audio data with corresponding text transcripts (around 10M word tokens) and an additional 800M word token text only dataset


question:
Experimental Setup 
 Question: which chinese datasets were used?
answer:

Answer with content missing: (Data section) Chinese with version 5.1 of the Chinese Penn Treebank (CTB)