electricsheepafrica/africa-ghg-emissions

GHG Emissions数据集包含非洲多个国家次国家级行政单位的2020年温室气体排放数据，重点关注30%树木覆盖密度的排放情况。数据集由Global Forest Watch发布，Electric Sheep Africa整理为适合机器学习的格式。数据集包含136行数据，分为训练集（108行）和测试集（27行）。数据列包括地理信息（如乌干达地区）、元数据（如数据来源和处理日期）和温室气体排放量（数值范围2191.0–4477593.0）。数据集存在一定的局限性，如温室气体排放量列有58.8%的缺失值，且原始数据未经过独立验证。

The GHG Emissions dataset contains 2020 greenhouse gas emissions data for subnational administrative units across multiple African countries, focusing on areas with 30% tree cover density. Published by Global Forest Watch and curated into ML-ready Parquet format by Electric Sheep Africa, the dataset consists of 136 rows split into training (108 rows) and test (27 rows) sets. It includes geographic variables (e.g., districts in Uganda), metadata (e.g., data source and processing date), and GHG emissions values (ranging from 2191.0 to 4477593.0). Key limitations include 58.8% missing values in the emissions column and lack of independent validation of original data.