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  1. Upload tf_regulatory_range.pickle⁠

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  2. replace tf reg range labels with target dicts

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  3. replace n1 labels with target dicts

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  4. replace n1 labels with target dicts

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  5. Delete example_input_files/gene_classification/notch1_network/n1_network_gene_labels.csv

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  6. replace biv labels with target dicts

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  7. Delete example_input_files/gene_classification/bivalent_promoters/no_methylation_gene_labels.txt

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  8. replace biv labels with target dicts

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  9. replace biv labels with target dicts

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  1. Replace dosage-sensitive tfs w/ target dict (upload dict pickle)

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  2. Replace dosage-sensitive tfs w/ target dict (remove csv)

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  3. upload 50k subsample of gc-30M

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  4. Update readme for dosage-sensitive tf example

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  1. add gata4 and tbx5 targets list

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  1. update tf regulatory range example

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  2. update n1 network example

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  3. Update n1 network example

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  4. Add N1 network example data

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  1. Update manuscript link to SharedIt

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  2. Update manuscript link in dataset card to ShareIt

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  1. Remove unused example data

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  1. Add unsorted genecorpus_30M_2048_lengths.pkl

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  1. Updated model card

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  1. Update dataset card with license Apache 2.0

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  1. Add disease classification example input dataset

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  2. Add information about example input files for fine-tuning

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  3. Upload example fine-tuning datasets

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  1. Update token dictionary to be consistent with model hub token dictionary

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  1. Add token_dictionary.pkl

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  2. Add genecorpus_30M_2048_sorted_lengths.pkl

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  3. Delete token_dictionary.pickle

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  4. Create Dataset card

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  1. add token dictionary

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  1. add Genecorpus-30M size 2048

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  1. initial commit

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