ESGenius is an EMNLP 2025 Main Conference Oral benchmark for evaluating large language models on Environmental, Social, and Governance (ESG) and sustainability knowledge. The paper was nominated for the EMNLP 2025 Resource and Theme Paper Awards, Top 1%. It was authored by cy0307 and last updated on June 15, 2026.
Use Cases
- Benchmarking LLM performance on ESG knowledge based on the described evaluation tasks
- Assessing model reasoning on sustainability topics based on the benchmark structure
- Training or fine-tuning models for ESG-related question answering based on the dataset content
Strengths
- Benchmark was nominated for EMNLP 2025 Resource and Theme Paper Awards, Top 1%
- Dataset is associated with a peer-reviewed EMNLP 2025 Main Conference Oral paper
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- huggingface
- Freshness
- Last updated 2026-06-15 15:06:20