Published April 22, 2026 | Version 2026-04-22

NPClassifier annotations for the PubChem CID-SMILES dump

Authors/Creators

  • 1. University of Fribourg

Description

NPClassifier predictions for the full PubChem CID-SMILES dump produced offline with recovered NPClassifier weights and a pinned legacy RDKit. This compact release contains row metadata, pathway vectors, superclass vectors, aggregate counts, and sparse class scores aligned to the emitted class ids.

Notes

Dense class vectors are intentionally omitted from the Zenodo package; use the Internet Archive release for the full class matrix.

Files

class-counts.csv

Files (18.4 GB)

Name Size
md5:756cced59452d356e58d7562e717e40d
22.6 kB Preview Download
md5:f8b1efb06f67851a34b200649488e982
62.6 kB Preview Download
md5:c293d27bb91b612d5e6a3f3367d2c845
100.2 MB Download
md5:ad8d90989ade636cf788931ab32c8ad1
652 Bytes Preview Download
md5:52355d995b8e6c8c5f5b65e07de30bdf
1.1 kB Download
md5:a1ff4630fdc05db808d21fe0eb239744
224 Bytes Preview Download
md5:a9c242d01256e27d3a4254e806c2f848
1.5 GB Download
md5:ac2db59f4be553d801b3802bd01f5ee1
6.8 kB Preview Download
md5:4795cd964329d26911096ba3bbdaf40f
2.2 GB Download
md5:e9a5704bfa29c78ab959efed647e5f2b
1.0 kB Preview Download
md5:fe8bb8c2ea5e903f9d52a1e8541301ff
2.1 kB Preview Download
md5:e14fb3ed0cf1e807f02b746629e93447
14.7 GB Download
md5:1c084298d77a8dabb584217e90f8dc75
23.0 kB Preview Download

Additional details

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