BANKING77, unchanged, from PolyAI-LDN/task-specific-datasets. Licensed CC-BY-4.0.
Iñigo Casanueva, Tadas Temčinas, Daniela Gerz, Matthew Henderson and Ivan Vulić. 2020. Efficient Intent Detection with Dual Sentence Encoders. Proceedings of the 2nd Workshop on NLP for ConvAI. arXiv:2003.04807
| File | Rows | SHA-256 |
|---|---|---|
train.csv |
10,003 | b06e26ac675513959a63135f11b94ea7786ed02da65db93a5650d8838cbc664b |
test.csv |
3,080 | d12d6e3bc4c3103966ae786dc435913c0c563dfa328f5a3646d0e62cfeeb474d |
categories.json |
77 intents | 53261da888122daf2d120d925458631d9619e15d82e56052e7a42e535ce32b63 |
sortcode/data.py checks the row counts, the 40-per-intent test split and the
intent list every time it loads, so a changed file fails loudly instead of
quietly shifting the results.