Buchwald-Hartwig
Yields
Dataset Description
Ahneman et al. performed high-throughput experiments on Pd-catalysed Buchwald–Hartwig C-N cross coupling reactions, measuring the yields for each reaction.
Task Description
Given reactant and product set X, predict the yields Y.
Dataset Statistics
55,370 reactions.
Available Splits
Random Split
Usage Example
from tdc_ml.single_pred import Yields data = Yields(name='Buchwald-Hartwig') # Access the data df = data.get_data() print(df.head()) # Get train/val/test splits split = data.get_split() print(split)
References
- [1] Sandfort et al. “A structure-based platform for predicting chemical reactivity.” Chem (2020).
- [2] Ahneman et al. “Predicting reaction performance in C–N cross-coupling using machine learning.” Science 360.6385 (2018): 186-190.
- [3] Schwaller, Philippe, et al. “Prediction of Chemical Reaction Yields using Deep Learning.” (2020). ChemRxiv.
License
This dataset is licensed under CC BY 4.0.