conda create -n polymertl python
source activate polymertl
pip install -r requirements.txt
Details about the datasets are listed below. Preprocessing will be implemented later to clean the data.
Property | Size |
---|---|
EA and IP | 90954 |
Tg | 131 |
EA vs SHE and IP vs SHE | 43377 |
File | Representation | Polymer Type | Tg | EA | IP | EA vs SHE | IP vs SHE | Size |
---|---|---|---|---|---|---|---|---|
figotj dataset 1 | single trimer | conjugated binary Homopolymer | y | y | 47988 | |||
figotj dataset 2 | graphs with 19F NMR | Six monomer types | y | y | 411 | |||
figotj dataset 3 | 2 Monomers with ratio | random and block polyhydroxyalkanoate copolymers | y | 131 | ||||
JACS | 2 Monomers w/o ratio | AB alternating co-polymers | 6345 | |||||
diblock-phrase | Diblock Copolymers | |||||||
Vipea | 2 Monomers with ratio | Block/alternating | y | y | y | y | y | 42966 |
Fullerene Exp. | 1203 | |||||||
MTL_Khazana | Single Smile | Homopolymer | y | y | 6264(comb.) | |||
PolymerGasMembraneML | Single Smile | Homopolymer | 776 |
To download and extract the collected dataset summarized above, use the get_data_collect.sh
script provided in the repository. Follow these steps:
#Grant execute permissions to the script:
chmod +x get_data_collect.sh
#run the script
./get_data_collect.sh