All datasets / nkazi
nkazi/MohlerASAG
The declared licence (cc-by-4.0) is classified as permissive.
- Declared licence
- cc-by-4.0, from the tagEvidence: README.md at dac0673
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at dac0673
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
In addition to citing **Mohler et al. (2011)**, we kindly request that
a footnote be included referencing the Hugging Face page of this dataset
([https://huggingface.co/datasets/nkazi/MohlerASAG](https://huggingface.co/datasets/nkazi/MohlerASAG))
in order to inform the community of this readily usable version.
```tex
@inproceedings{mohler2011learning,
title = {Learning to Grade Short Answer Questions using Semantic
Similarity Measures and Dependency Graph Alignments},
author = {Mohler, Michael and Bunescu, Razvan and Mihalcea, Rada},
year = 2011,
month = jun,
booktitle = {Proceedings of the 49th Annual Meeting of the Association
for Computational Linguistics: Human Language Technologies},
pages = {752--762},
editor = {Lin, Dekang and Matsumoto, Yuji and Mihalcea, Rada},
publisher = {Association for Computational Linguistics},
address = {Portland, Oregon, USA},
url = {https://aclanthology.org/P11-1076},
}
```
The same facts for your agent
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dataset_licence({ "id": "nkazi/MohlerASAG" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0