| license: cc-by-4.0 | |
| language: | |
| - en | |
| configs: | |
| - config_name: hard | |
| data_files: | |
| - split: test | |
| path: | |
| - data/test_hard.jsonl | |
| default: true | |
| - config_name: easy | |
| data_files: | |
| - split: test | |
| path: | |
| - data/test_easy.jsonl | |
| tags: | |
| - aveni-bench | |
| - dialogue | |
| - finnlp | |
| # AveniBench: PolyAI NLU++ | |
| PolyAI NLU++ split used in the AveniBench. | |
| ## License | |
| This dataset is made available under the CC-BY-4.0 license. | |
| ## Citation | |
| AveniBench | |
| ```bibtex | |
| TDB | |
| ``` | |
| PolyAI NLU++ | |
| ```bibtex | |
| @inproceedings{casanueva-etal-2022-nlu, | |
| title = "{NLU}++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialogue", | |
| author = "Casanueva, Inigo and | |
| Vuli{\'c}, Ivan and | |
| Spithourakis, Georgios and | |
| Budzianowski, Pawe{\l}", | |
| booktitle = "Findings of the Association for Computational Linguistics: NAACL 2022", | |
| month = jul, | |
| year = "2022", | |
| address = "Seattle, United States", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/2022.findings-naacl.154/", | |
| doi = "10.18653/v1/2022.findings-naacl.154", | |
| pages = "1998--2013", | |
| } | |
| ``` | |