SUPERChem: A Multimodal Reasoning Benchmark in Chemistry

SUPERChem is a multimodal reasoning benchmark dataset for chemistry. The dataset was created by ZehuaZhao and was last updated on March 31,我们发现了一个问题，请稍后再试。

Use Cases

• Benchmarking multimodal AI models based on the chemistry reasoning tasks described.
• Training models for chemical problem-solving based on the multimodal nature of the data.
• Evaluating model performance on tasks requiring integration of different data types in chemistry.

Strengths

• Designed as a benchmark for multimodal reasoning, a specific and relevant task.
• Adopted by named AI models (MiroThinker-1.7 and ByteDance's Seed-2.0), suggesting industry relevance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license are unknown, which may limit suitability assessment.

Provenance

Source

ZehuaZhao on Hugging Face.

Collection Method

Likely curated for benchmarking purposes; specific gathering method is unknown.

Time Range

Temporal coverage is unknown.

Freshness

Last updated 2026-03-31 09:33:34; freshness should be verified.

Geography

Spatial coverage is unknown.