| # 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. |