[Dataset requests] New datasets for Text Classification

We are missing a few datasets for Text Classification which is an important field.

Namely, it would be really nice to add:

• TREC-6 dataset (see here for instance: https://pytorchnlp.readthedocs.io/en/latest/source/torchnlp.datasets.html#torchnlp.datasets.trec_dataset) [done]
  • #386
• Yelp-5
  • #1315
• Movie review (Movie Review (MR) dataset [156]) [done (same as rotten_tomatoes)]
• SST (Stanford Sentiment Treebank) [include in glue]
  • #1934
• Multi-Perspective Question Answering (MPQA) dataset [require authentication (indeed manual download)]
• Amazon. This is a popular corpus of product reviews collected from the Amazon website [159]. It contains labels for both binary classification and multi-class (5-class) classification
  • #791
  • #1389
• 20 Newsgroups. The 20 Newsgroups dataset [done]
  • #410
• Sogou News dataset [done]
  • #450
• Reuters news. The Reuters-21578 dataset [165] [done]
  • #471
• DBpedia. The DBpedia dataset [170]
  • #1116
• Ohsumed. The Ohsumed collection [171] is a subset of the MEDLINE database
• EUR-Lex. The EUR-Lex dataset
• WOS. The Web Of Science (WOS) dataset [done]
  • #424
• PubMed. PubMed [173]
• TREC-QA: TREC-6 + TREC-50
  • See above: TREC-6 dataset
• Quora. The Quora dataset [180]
  • #366

All these datasets are cited in https://arxiv.org/abs/2004.03705