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| license: gpl-3.0 |
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| ## Homepage |
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| Exploring and Verbalizing Academic Ideas by Concept Co-occurrence |
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| [https://github.com/xyjigsaw/Kiscovery](https://github.com/xyjigsaw/Kiscovery) |
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| ## Co-occurrence Citation Quintuple |
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| It is the official **Co-occurrence Citation Quintuple** dataset of paper *Exploring and Verbalizing Academic Ideas by Concept Co-occurrence*. |
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| 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. |
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| 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: |
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| | 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 | |
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| 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. |
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| Download with git |
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| ```bash |
| sudo apt-get install git-lfs |
| # OR |
| brew install git-lfs |
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| git lfs install |
| git clone https://huggingface.co/datasets/Reacubeth/Co-occurrenceCitationQuintuple |
| ``` |
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| ## Citation |
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| If you use our work in your research or publication, please cite us as follows: |
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| ``` |
| @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} |
| } |
| ``` |
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| Please let us know if you have any questions or feedback. Thank you for your interest in our work! |
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