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zh:notes:math_softwares [2026/08/24 10:15] pzczxs [Obtain Embedding from a Vector Model] |
zh:notes:math_softwares [2026/10/23 12:40] (当前版本) pzczxs [原始数据] |
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| 行 1: | 行 1: | ||
| ====== Math Software Dataset Construction ====== | ====== Math Software Dataset Construction ====== | ||
| ===== Citation Information ===== | ===== Citation Information ===== | ||
| - | - | + | -Shuo Xu, Lanzhi Li, Jiahao Li, Xin An, Jianhua Liu, and Xuegang Deng, 2026. Evaluation of Mathematical Software Impact based on Diversity Measures. (Under Review) |
| 行 104: | 行 104: | ||
| ==== text-embedding-v4 ==== | ==== text-embedding-v4 ==== | ||
| <code bash> | <code bash> | ||
| - | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/10/math_software -K 10 | + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 64 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/10/math_software -K 10 |
| - | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/20/math_software -K 20 | + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 64 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/20/math_software -K 20 |
| - | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/30/math_software -K 30 | + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 64 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/30/math_software -K 30 |
| - | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/40/math_software -K 40 | + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 64 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/40/math_software -K 40 |
| - | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/50/math_software -K 50 | + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 64 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/50/math_software -K 50 |
| - | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/60/math_software -K 60 | + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 64 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/60/math_software -K 60 |
| - | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/70/math_software -K 70 | + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 64 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/70/math_software -K 70 |
| - | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/80/math_software -K 80 | + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 64 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/80/math_software -K 80 |
| - | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/90/math_software -K 90 | + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 64 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/90/math_software -K 90 |
| - | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/100/math_software -K 100 | + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 64 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/100/math_software -K 100 |
| </code> | </code> | ||
| ===== Calculate Diversity Indicators ===== | ===== Calculate Diversity Indicators ===== | ||
| - | The following three diversity indicators are calculated: (1) Rao-Stirling ([[https://www.jstor.org/stable/25050293|Rao, 1982]]; [[https://doi.org/10.1098/rsif.2007.0213|Stirling, 2007]]), DIV ([[https://doi.org/10.1016/j.joi.2019.03.016|Leydesdorff et al., 2019]]), and Diversity ([[https://doi.org/10.1007/s11192-022-04336-3|Mutz, 2022]]). | + | The following three diversity indicators are calculated: (1) Rao-Stirling ([[https://www.jstor.org/stable/25050293|Rao, 1982]]; [[https://doi.org/10.1098/rsif.2007.0213|Stirling, 2007]]), DIV ([[https://doi.org/10.1016/j.joi.2019.03.016|Leydesdorff et al., 2019]]), and div<sub>e</sub>([[https://doi.org/10.1007/s11192-022-04336-3|Mutz, 2022]]). |
| + | |||
| + | ==== 原始数据 ==== | ||
| + | *<color blue>00software_new.csv</color>:id(软件编号),swmath_id(swmath编号),name(软件名称),description(软件描述) | ||
| + | *<color blue>00article.csv</color>:id(论文编号),title(论文标题),abst(论文摘要),doi(doi号),publication_year(出版时间),type(论文类型),language_code(语言) | ||
| + | *<color blue>00software_article.csv</color>:software_id(软件编号),article_id(论文编号),flag(0:软件论文,1:论文);注意:一个软件对应一篇或多篇论文 | ||
| + | *<color blue>00category.csv:id(类别id)</color>,name(类别名称) | ||
| + | *<color blue>00article_category.csv</color>:article_id(论文编号),category_id(类别id);注意:一篇论文对应一个或多个类别 | ||
| + | |||
| + | ==== 构建software_article_category关系表 ==== | ||
| + | *筛选条件: | ||
| + | *flag为1 | ||
| + | *language_code为en | ||
| + | *type为以下任意一种:“Article”, “Article; Book Chapter”, “Article; Early Access”, “Article; Proceedings Paper”, “Letter”, “Proceedings Paper”, “Review” or “Review; Book Chapter” | ||
| + | *title和abst不能为空 | ||
| + | *代码:<color blue>01构建software_article_category.py</color> | ||
| + | *结果:<color blue>01software_article_category.csv</color> | ||
| + | |||
| + | ==== 统计每个软件对应的无重复论文数量和类别数量 ==== | ||
| + | *代码:<color blue>统计02software_num_articles_categories.py</color> | ||
| + | *结果:<color blue>02software_num_articles_categories.csv</color> | ||