license: cc-by-nc-4.0
2DNMRGym
This dataset contains more than 22,000 2D HSQC spectrum for atom-level graph learning tasks.
Dataset Details
Dataset Description
HSQC is one important type of 2D NMR experiments, which is crucial in molecular discrimination and structure elucidation tasks. In 2DNMRGym, the train split is annotated by an established algorithm, which provides silver-standard labels for surrogated training. The evluation split is annotated by human experts with more than 10 years of training in organic chemistry, and provids high-quality gold-standard labels for model testing.
Dataset Sources [optional]
The raw data is sourced from HMDB and CH-NMR-NP.
- Repository: [https://github.com/siriusxiao62/Mol2DNMR]
Dataset Structure
Graph: dictionary presentation of pyg graph data. This is the molecular graph for each spectrum, containing node features and 3D coordinants.
C-peaks: the carbon chemical shift of the cross peaks in each HSQC spectrum, annotated to match the carbon indices in the molecular graph.
H-peaks: the proton chemical shifts of the cross peaks in each HSQC spectrum, annotated using the corresponding carbon indicies.
Who are the annotators?
Dr. Hao Xu - Harvard Medical School.
Dr. Wang Duosheng - Boston College.
Dr. Kumar Ambrish - University of Georgia.