Create README.md

README.md

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+---
+tags:
+- chemistry
+size_categories:
+- 1M<n<10M
+configs:
+- config_name: default
+  data_files: allmolgen.tar.xz
+---
+
+Downloaded using PyTDC (https://tdcommons.ai/).
+
+Contains the unique canonicalized SMILES molecules from MOSES, ZINC-250K, and ChEMBL-29, done with RDKit.
+
+Distribution of tokenized SMILES sequence lengths below. The following regex string was used 
+to split the SMILES molecule into tokens: (\[[^\]]+]|Br?|Cl?|N|O|S|P|F|I|b|c|n|o|s|p|\(|\)|\.|=|#|-|\+|\\|\/|:|~|@|\?|>>?|\*|\$|\%[0-9]{2}|[0-9])
+
+<img src="violin_allmolgen_cano.png" width=50% height=50%>
+Included in the .csv (after extracting the .tar.xz file) is a column "smi_len". 
+If using the same SMILES tokenization regex string as above, you can simply filter using the values in this column ("smi_len"). 
+I'd recommend post-processing since clearly a majority of the sequences are of a much shorter length than the highest, which is above 1400 (using my regex string).