Chem Prop Pred: Processed Chemical Property Prediction Data

Processed data from the Chem-prop-pred GitHub repository, hosted on Hugging Face by author eamag. The dataset was last updated on January 4, 2026. Platform tags indicate it is likely used for property prediction tasks in chemistry and graph machine learning.

Use Cases

• Predicting chemical properties based on molecular features mentioned in the description
• Training graph neural networks for chemistry tasks based on the 'Graph Ml' platform tags
• Benchmarking machine learning models on tabular chemical data
• Developing property prediction pipelines for materials or drug discovery

Strengths

• Data is processed and ready for use, sourced from a dedicated GitHub repository
• Platform tags indicate support for multiple data libraries (polars, pandas, datasets)
• Last updated on 2026-01-04, suggesting recent maintenance

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download
• 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

https://github.com/learningmatter-mit/Chem-prop-pred

Collection Method

Processed data from a GitHub repository; exact collection method is unknown.

Time Range

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Freshness

Last updated 2026-01-04 20:22:23

Geography

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