Expanding benchmark #584
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Expanding benchmark #584
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This PR adds the following 4 datasets as examples for using autolabel:
Craigslist bargains: Given a passage consisting of negotiation between a seller and buyer about sale of an item, classify the item into one of 'housing', 'furniture', 'bike', 'phone', 'car', 'electronics'.
Mathdatasets: Given a math question, classify it into algebra, arithmetic, measurement, numbers, and probability. The guidelines for each class are also provided in the instructions.
Lexical relation cogalexv: Given two words, classify the relationship between them into one of ANT, HYPER, PART_OF, SYN, RANDOM
Read-extract: Given a paragraph, extract the exact substring from the context which answers the question in the prompt.