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Text · dataset · 2022

OGB/ogbg-molhiv

Listed in Hugging Face Datasets

Dataset Card for ogbg-molhiv Dataset

Description

Summary

The ogbg-molhiv dataset is a small molecular property prediction dataset, adapted from MoleculeNet by teams at Stanford, to be a part of the Open Graph Benchmark. Supported Tasks and Leaderboards ogbg-molhiv should be used for molecular property prediction (aiming to predict whether molecules inhibit HIV or not), a binary classification task. The score used is ROC-AUC.

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The associated leaderboards are here: OGB… See the full description on the dataset page: huggingface.co/datasets/OGB/ogbg-molhiv.

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Where it is published

Catalogue records · 1

Topics

Stated by source
graph ml
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsOGB/ogbg-molhiv13 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:graph-mlsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0