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ChemPile chemistry pretraining corpus

ChemPile is a multimodal chemistry corpus containing text, molecular captions, images, code, papers, and structured chemical records. This repository provides eight original components, totaling about 193 GB, for chemistry language and multimodal modeling.

Part of the Molecular Datasets collection.

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Original files are available in their native formats.

Where the data comes from

Files and modalities

Modality Where Content
source files files/caption/ 12 original files; 3.23 GB
source files files/code/ 91 original files; 15.64 GB
source files files/education/ 15 original files; 0.26 GB
source files files/instruction/ 14 original files; 0.61 GB
source files files/lift/ 503 original files; 18.49 GB
source files files/mlift/ 1,809 original files; 123.40 GB
source files files/paper/ 145 original files; 31.58 GB
source files files/reasoning/ 66 original files; 0.12 GB

Download an individual file:

from huggingface_hub import hf_hub_download
path = hf_hub_download("liuganghuggingface/moldata-chempile", "files/caption/data/test-00000-of-00001.parquet", repo_type="dataset")

Dataset notes

  • Component licenses are listed individually. The paper component uses a no-derivatives license.
  • Image/text pairs follow each component’s record relationships; components use separate identifier systems.
  • The corpus contains heterogeneous chemistry data rather than one universal SMILES/property prediction task.

License

Mixed component licenses: CC BY-NC-SA 4.0; CC BY-NC-ND 4.0; CC BY-SA 4.0; CC BY 4.0; AGPL-3.0 and original per-record code licenses

Component License Source
education cc-by-nc-sa-4.0 Original component
paper cc-by-nc-nd-4.0 Original component
mlift cc-by-nc-sa-4.0 Original component
reasoning cc-by-sa-4.0 Original component
code agpl-3.0 Original component
caption cc-by-nc-sa-4.0 Original component
lift cc-by-nc-sa-4.0 Original component
instruction cc-by-4.0 Original component

Citation

Cite the original study and data source:

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