A Multimodal Dataset for Large Language Model Applications in the Energy Domain
This paper presents the mAIEnergy dataset, an open-access, multimodal corpus developed to support Large Language Model (LLM) applications in the energy sector. The dataset integrates approximately 50,000 textual documents, 20,000 images, 25 million numerical time series records, and 2 million geospatial and relational data entries. It includes policy and regulatory texts, scientific articles and news articles, satellite and contextual imagery, electricity system measurements, weather observation
Record details
Published: 13 July 2026
Source: arXiv
Category: Research
Topics: Regulation · Environment
Retrieved: 14 July 2026
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ethics.ai (13 July 2026), “A Multimodal Dataset for Large Language Model Applications in the Energy Domain,” evidence record 10, https://ethics.ai/record/10 (originally published by arXiv).
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