Governance-Aligned ESG Indicators Dataset for Interpretable Sustainability Analytics (Astra Agro Lestari, 2022–2024)

This dataset contains structured Environmental, Social, and Governance (ESG) indicators derived from publicly available sustainability and annual reports of PT Astra Agro Lestari Tbk for the period 2022–2024. The data were manually extracted, standardized, and organized into a governance-aligned analytical framework to support interpretable sustainability analytics.

The dataset includes environmental indicators (including carbon intensity measures), financial performance variables, and governance disclosure metrics. It was prepared to demonstrate a proof-of-concept framework integrating lightweight machine learning and explainable artificial intelligence (SHAP) within an energy-efficient and governance-driven analytical architecture.

This dataset is intended for research and educational purposes in ESG analytics, sustainable computing, and interpretable machine learning applications.

本数据集包含经结构化处理的环境、社会和治理（Environmental, Social, and Governance，ESG）指标，数据源自PT Astra Agro Lestari Tbk 2022至2024年公开披露的可持续发展报告与年度报告。所有数据均经人工提取、标准化处理，并按照契合治理导向的分析框架进行整理，以支撑可解释性可持续发展分析。

本数据集涵盖环境指标（含碳强度测算指标）、财务绩效变量以及治理披露指标。本数据集旨在验证一款集成轻量级机器学习与可解释人工智能（SHapley Additive exPlanations，SHAP）的概念验证框架，该框架搭载于节能高效且以治理为驱动的分析架构之中。

本数据集仅用于环境、社会和治理分析、可持续计算以及可解释机器学习应用领域的研究与教学用途。