kargaranamir/HengamCorpus

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at 10a1bc7
Licence files: No licence file at the top level of the repositoryEvidence: file list at 10a1bc7
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

If you use any part of this repository in your research, please cite it using the following BibTex entry.
```python
@inproceedings{mirzababaei-etal-2022-hengam,
	title        = {Hengam: An Adversarially Trained Transformer for {P}ersian Temporal Tagging},
	author       = {Mirzababaei, Sajad  and Kargaran, Amir Hossein  and Sch{\"u}tze, Hinrich  and Asgari, Ehsaneddin},
	year         = 2022,
	booktitle    = {Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing},
	publisher    = {Association for Computational Linguistics},
	address      = {Online only},
	pages        = {1013--1024},
	url          = {https://aclanthology.org/2022.aacl-main.74}
}
```

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dataset_licence({ "id": "kargaranamir/HengamCorpus" })
signal: "permissive"
stated_licence: "mit"
sources: 0