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# task-specific-datasets
*A collection of NLU datasets in constrained domains.*
**List of datasets:**
- [Banking](#banking): online banking queries annotated with their corresponding intents.
- [Span Extraction](#span-extraction): the data used for the SpanConvert paper.
- [NLU++](/nlupp): a challenging evaluation environment for dialogue NLU models (multi-domain, multi-label intents and slots).
- [EVI](https://github.com/PolyAI-LDN/evi-paper): a challenging multilingual dataset for knowledge-based enrolment, identification, and identification in spoken dialogue systems.
## Banking
Dataset composed of online banking queries annotated with their corresponding intents.
| Dataset statistics | |
| --- | --- |
| Train examples | 10003 |
| Test examples | 3080 |
| Number of intents | 77 |
| Example Query | Intent |
| --- | --- |
| Is there a way to know when my card will arrive?| card_arrival |
| I think my card is broken | card_not_working |
| I made a mistake and need to cancel a transaction | cancel_transfer |
| Is my card usable anywhere? | card_acceptance |
### Citations
When using the banking dataset in your work, please cite [Efficient Intent Detection with Dual Sentence Encoders](https://arxiv.org/abs/2003.04807).
```bibtex
@inproceedings{Casanueva2020,
author = {I{\~{n}}igo Casanueva and Tadas Temcinas and Daniela Gerz and Matthew Henderson and Ivan Vulic},
title = {Efficient Intent Detection with Dual Sentence Encoders},
year = {2020},
month = {mar},
note = {Data available at https://github.com/PolyAI-LDN/task-specific-datasets},
url = {https://arxiv.org/abs/2003.04807},
booktitle = {Proceedings of the 2nd Workshop on NLP for ConvAI - ACL 2020}
}
```
## License
The datasets shared on this repository are licensed under the license found in the LICENSE file. |