一个电子产品的碳足迹数据集,用于回答问题
Kaiwen Zhao1, Ajesh Koyatan Chathoth2, Bharathan Balaji3
1University of Pittsburgh, Pittsburgh, PA, USA. kaz81@pitt.edu.
Scientific data
|January 14, 2026
概括
本研究引入了一个新的数据集,从各种计算产品碳报告中提取温室气体排放数据. 这使得信息和通信技术 (ICT) 系统能够进行自动化分析和标准化,以有针对性地减少环境损害.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
背景情况:
- 计算系统中嵌入的碳是温室气体 (GHG) 排放的主要来源.
- 公司在可持续发展报告中报告产品的碳足迹,但格式是无结构的 (PDF,文本,表格,图表).
- 缺乏标准化阻碍了数据提取,比较评估和有针对性的减排.
研究的目的:
- 开发一个碳问题答案 (QA) 数据集,用于从计算产品碳报告中提取和分析数据.
- 为了促进信息和通信技术 (ICT) 系统的排放数据的自动聚合和标准化.
- 为应对多样化和非结构化报告格式带来的挑战.
主要方法:
- 创建一个新的碳QA数据集.
- 包括注释的元数据,数值推理任务和结构化的导出.
- 数据集主要反映了PAIA (MIT) 模型报告实践 (约. 75% 的产品).
主要成果:
- 该数据集能够准确处理碳报告中的碎片化排放数据.
- 它提供了对行业方法 (如PAIA) 如何影响报告价值的见解.
- 建立了训练数据自动化高级语言模型的基础.
结论:
- 开发的质量控制数据集对于自动提取和标准化ICT系统排放数据至关重要.
- 这项工作通过改善数据的可访问性和可比性来支持环境倡议.
- 促进计算机产品的碳含量有针对性的减少.
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