Yahoo! Answers
Introduced by Zhang et al. in Character-level Convolutional Networks for Text Classification
The Yahoo! Answers topic classification dataset is constructed using 10 largest main categories. Each class contains 140,000 training samples and 6,000 testing samples. Therefore, the total number of training samples is 1,400,000 and testing samples 60,000 in this dataset. From all the answers and other meta-information, we only used the best answer content and the main category information.
Source: githubBenchmarks
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Yahoo! Answers
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BERT-ITPT-FiT
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Yahoo! Answers
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Lbl2TransformerVec
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Papers
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