Our method primarily relies on a rule-based strategy utilizing regular expressions and a small dictionary to capture the desired information. These approaches strike a balance between high accuracy obtained through manual extractions and reduced labor facilitated by automated tools. Furthermore, the rules in our pipeline are section-specific, meaning that we extract data from different sections of a paper that we deemed relevant for obtaining the desired information. This helps minimize incorrect extractions and improves the reliability of our approach. Additionally, when collecting numerical data, we utilize the chatGPT API to verify the obtained relation, rather than relying solely on human review.