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Exploring and Verbalizing Academic Ideas by Concept Co-occurrence

Co-occurrence Citation Quintuple

It is the official Co-occurrence Citation Quintuple dataset of paper Exploring and Verbalizing Academic Ideas by Concept Co-occurrence.

We construct and release a dataset of co-occurrence citation quintuples, which is used to train text generation model for idea verbalization. The process of identifying and processing concepts is similar to constructing the concept co-occurrence graph. Heuristic rules are adopted to filter redundant and noisy sentences, further improving the quality of the quintuples used for idea generation. More details of co-occurrence citation quintuples can be found in Appendix B, C, and J.

In mid-2023, our DeepReport system underwent a major update, encompassing both data and model improvements. On the data front, we introduced a new version of the quintuple data (V202306), resulting in enhanced quality and a larger-scale dataset. The statistical summary of the new quintuple data (V202306) is presented as follows:

Discipline	Quintuple	Concept	Concept Pair	Total $p$	Total $p_1$ & $p_2$
Art	7,510	2,671	5,845	2,770	7,060
History	5,287	2,198	4,654	2,348	5,764
Philosophy	45,752	4,773	25,935	16,896	29,942
Sociology	16,017	4,054	12,796	7,066	16,416
Political Science	67,975	6,105	42,411	26,198	53,933
Business	205,297	9,608	99,329	62,332	112,736
Geography	191,958	12,029	118,563	42,317	112,909
Engineering	506,635	16,992	249,935	137,164	273,894
Geology	365,183	13,795	190,002	98,991	222,358
Medicine	168,697	13,014	114,104	42,535	138,973
Economics	227,530	9,461	113,527	68,607	131,387
Physics	267,532	10,831	133,079	84,824	176,741
Biology	224,722	15,119	145,088	59,210	189,281
Mathematics	312,670	17,751	190,734	95,951	218,697
Psychology	476,342	9,512	194,038	115,725	212,180
Computer Science	531,654	16,591	244,567	151,809	238,091
Environmental Science	583,466	11,002	226,671	94,474	201,330
Materials Science	573,032	17,098	249,251	145,068	313,657
Chemistry	565,307	13,858	231,062	108,637	286,593
Total	5,342,566	206,462	2,591,591	1,362,922	2,941,942

Note that each file is a list in the form of [[c_1, c_2, p, p_1, p_2], ...], the element of which is a quintuple. c_1 and c_2 are concepts, p is the target texts, i.e., the verbalized ideas.

Download with git

sudo apt-get install git-lfs
# OR
brew install git-lfs

git lfs install
git clone https://huggingface.co/datasets/Reacubeth/Co-occurrenceCitationQuintuple

Citation

If you use our work in your research or publication, please cite us as follows:

@inproceedings{xu2023exploring,
  title={Exploring and Verbalizing Academic Ideas by Concept Co-occurrence},
  author={Xu, Yi and Sheng, Shuqian and Xue, Bo and Fu, Luoyi and Wang, Xinbing and Zhou, Chenghu},
  booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)},
  year={2023}
}

Please let us know if you have any questions or feedback. Thank you for your interest in our work!