Datasets:
Ring-opening polymerization enthalpy
polyVERSE polymer data for ring-opening polymerization enthalpy. Records retain polymer representations, source property names, and available composition or measurement conditions.
Part of the Molecular Datasets collection.
Get started
from datasets import load_dataset
dataset = load_dataset("liuganghuggingface/moldata-polyverse_rop_enthalpy", "000_data")
Where the data comes from
- Original data: https://github.com/Ramprasad-Group/polyVERSE/tree/main/Other/ROP_enthalpy
- Original study: Ring-opening polymerization enthalpy
- Original study: Accelerated Scheme to Predict Ring-Opening Polymerization Enthalpy: Simulation-Experimental Data Fusion and Multitask Machine Learning
Tables
| Config | Splits | Rows | Targets |
|---|---|---|---|
000_data |
full | 459 | roe_kj/mol (regression; kJ/mol) |
data/ contains rows with readable molecular structures; identical observations are collapsed. observations/ contains all source rows.
Source label columns are text, including values such as <10. SMILES_original retains the input representation; SMILES_canonical provides a canonical representation. structure_key groups molecular components, and structure_status records parsing outcomes.
Data quality
- many sources: Compiled from several labs or papers, whose protocols differ.
- all structures readable: All 459 SMILES were read with RDKit.
- 4 extreme values: 4 of 459 values lie more than 6 robust standard deviations from the median of their target (on a log scale when values span 1,000-fold or more). They are often typing or unit mistakes, and sometimes real; look at them before training.
- 189 labeled molecules: 189 molecules have a label. Results on fewer than 1,000 molecules vary a lot between splits.
- no source split: Make your own split. A random split puts near-identical molecules in both training and test sets, so results look better than they will on new compounds. Splitting by scaffold, or by date when dates are given, gives a more realistic estimate.
Dataset notes
- Repeated structures at different conditions or compositions are not duplicate measurements.
- Repository code license does not supersede the GTRC data terms.
License
GTRC General Public Use License Agreement; noncommercial resale restrictions; retain complete license
Citation
Cite the original study and data source:
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