Extracting Accurate Materials Data from Research Papers with Conversational Language Models and Prompt Engineering
收藏DataCite Commons2023-12-04 更新2024-08-18 收录
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https://figshare.com/articles/dataset/Using_conversational_AI_to_automatically_extract_data_from_research_papers_-_example_of_ChatGPT/22213747/4
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Data supporting the paper entitled "Extracting Accurate Materials Data from Research Papers with Conversational Language Models and Prompt Engineering" by Maciej P. Polak and Dane Morgan <br> https://arxiv.org/abs/2303.05352 <br> <br> ChatExtract_MPPolak_DMorgan.zip - These files contain the ChatExtract code with a short example and instructions. <br> CriticalCoolingRates_MGs_database_MPPolak_DMorgan.xlsx - a database of critical cooling rates of metallic glasses. The data is presented in three versions and (described in detail in the paper), i.e. "raw", "cleaned", and "standardized". The critical cooling rate additionally includes manually extracted data serving as ground truth for tests, in sheets labeled as "manual". <br> YieldStrength_HEAs_database_MPPolak_DMorgan.xlsx - a database of yield strengths in the context of high entropy alloys. The data is presented in three versions and (described in detail in the paper), i.e. "raw", "cleaned", and "standardized". In addition, a "standardized_HEA" database is included, which limits the results to HEAs only.
提供机构:
figshare
创建时间:
2023-07-19



