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Published August 25, 2021 | Version v1

TREC

Authors/Creators

Description

TREC with 5,952 documents (i.e. questions), is a question classification dataset in which the task is classify a question into 6 main subject categories: such as human, location, entity, abbreviation, description and numeric value.

The files:
texts.txt: Document set (text). One per line.
score.txt: Document class whose index is associated with texts.txt
split_<k>.pkl:  pandas DataFrame with k-cross validation partition

Files

score.txt

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md5:d98b1b794ec93f8434b477964b931da4
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