CogComp/trec
The Text REtrieval Conference (TREC) Question Classification dataset contains 5500 labeled questions in training set and another 500 for test set. The dataset has 6 coarse class labels and 50 fine class labels. Average length of each sentence is 10, vocabulary size of 8700. Data are collected from four sources: 4,500 English questions published by USC (Hovy et al., 2001), about 500 manually constructed questions for a few rare classes, 894 TREC 8 and TREC 9 questions, and also 500 questions from TREC 10 which serves as the test set. These questions were manually labeled.
| Author / organization | CogComp |
|---|---|
| License (as declared) | unknown |
| Downloads | 20K (as reported by Hugging Face) |
| Likes | 49 |
| Created | 2 March 2022 |
| Last updated at source | 18 January 2024 |
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