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Zhouky
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DelePref-data

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The dataset generation failed because of a cast error

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 13 new columns ({'shard_id', 'num_full_proteins', 'source_impact_csv', 'status', 'source_candidate_csv', 'num_pairs', 'num_shortage_proteins', 'runtime_seconds', 'num_proteins', 'num_source_impacts', 'output_size_bytes', 'output_csv', 'num_source_candidates'}) and 9 missing columns ({'sequence_sha256', 'source', 'protein_id', 'deleted_length', 'split', 'wildtype_length', 'condition_id', 'pair_count', 'beta'}).

This happened while the csv dataset builder was generating data using

gzip://b20.csv::hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/metadata/indexes/b20.csv.gz, ['hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/metadata/condition_catalog/conditions.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/metadata/indexes/b20.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/metadata/indexes/base.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/metadata/proposal_validation/cold_start_reference.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/metadata/proposal_validation/proteins.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/metadata/splits/train_dev_manifest.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000000.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000001.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000002.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000003.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000004.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000005.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000006.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000007.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000008.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000009.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000010.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000011.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000012.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000013.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000014.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000015.csv.gz', 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'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000188.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000189.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000190.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000191.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000192.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000193.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000194.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000195.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000196.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000197.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000198.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000199.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000200.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000201.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000202.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000203.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000204.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000205.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000206.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000207.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000208.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000209.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000210.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000211.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000212.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000213.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000214.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000215.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000216.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000217.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000218.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000219.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000220.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000221.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000222.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000223.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000224.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000225.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000226.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000227.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000228.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000229.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000230.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000231.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000232.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000233.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000234.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000235.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000236.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000237.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000238.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000239.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000240.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000241.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000242.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000243.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000244.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000245.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000246.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000247.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000248.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000249.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000250.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000251.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000252.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000253.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000254.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000255.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000256.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000257.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000258.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000259.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000260.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000261.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000262.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000263.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000264.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000265.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000266.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000267.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000268.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000269.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000270.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000271.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000272.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000273.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000274.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000275.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000276.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000277.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000278.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000279.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000280.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000281.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000282.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000283.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000284.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000285.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000286.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000287.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000288.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000289.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000290.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000291.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000292.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000293.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000294.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000295.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000296.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000297.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000298.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/base/pair_v3_000299.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/sequences/formal_300k_manifest.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/sequences/formal_val_20k_manifest.csv.gz']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1856, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 822, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              shard_id: string
              shard_index: int64
              source_candidate_csv: string
              source_impact_csv: string
              output_csv: string
              num_source_candidates: int64
              num_source_impacts: int64
              num_proteins: int64
              num_pairs: int64
              num_full_proteins: int64
              num_shortage_proteins: int64
              status: string
              runtime_seconds: double
              output_size_bytes: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2060
              to
              {'source': Value('string'), 'shard_index': Value('int64'), 'protein_id': Value('string'), 'sequence_sha256': Value('string'), 'wildtype_length': Value('int64'), 'deleted_length': Value('int64'), 'beta': Value('float64'), 'split': Value('string'), 'pair_count': Value('int64'), 'condition_id': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 13 new columns ({'shard_id', 'num_full_proteins', 'source_impact_csv', 'status', 'source_candidate_csv', 'num_pairs', 'num_shortage_proteins', 'runtime_seconds', 'num_proteins', 'num_source_impacts', 'output_size_bytes', 'output_csv', 'num_source_candidates'}) and 9 missing columns ({'sequence_sha256', 'source', 'protein_id', 'deleted_length', 'split', 'wildtype_length', 'condition_id', 'pair_count', 'beta'}).
              
              This happened while the csv dataset builder was generating data using
              
              gzip://b20.csv::hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/metadata/indexes/b20.csv.gz, ['hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/metadata/condition_catalog/conditions.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/metadata/indexes/b20.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/metadata/indexes/base.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/metadata/proposal_validation/cold_start_reference.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/metadata/proposal_validation/proteins.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/metadata/splits/train_dev_manifest.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000000.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000001.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000002.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000003.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000004.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000005.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000006.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000007.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000008.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000009.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000010.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000011.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000012.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000013.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000014.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000015.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000016.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000017.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000018.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000019.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000020.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000021.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000022.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000023.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000024.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000025.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000026.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000027.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000028.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000029.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000030.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000031.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000032.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000033.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000034.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000035.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000036.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000037.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000038.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000039.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000040.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000041.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000042.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000043.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000044.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000045.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000046.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000047.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000048.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000049.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000050.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000051.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000052.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000053.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000054.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000055.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000056.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000057.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000058.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000059.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000060.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000061.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000062.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000063.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000064.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000065.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000066.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000067.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000068.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000069.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000070.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000071.csv.gz', 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'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000096.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000097.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000098.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000099.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000100.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000101.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000102.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/pairs/b20/pair_v3_000103.csv.gz', 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'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/sequences/formal_300k_manifest.csv.gz', 'hf://datasets/Zhouky/DelePref-data@634b96176b78988961535d30effbb23970748c7e/training/sequences/formal_val_20k_manifest.csv.gz']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

source string	protein_id string	sequence_sha256 string	wildtype_length int64	deleted_length int64	beta float64	split string	pair_count int64	condition_id string
b20	UniRef50_A0A010R832	1ef4662381ed1cb1b23bb0d65bdc56fef568060f91982b4a996d2ffb55358271	102	20	0.196078	train	27	f7a605a2e9f285260bd50d1cbe9b5115f49dd775b30a69316dbc40f5534aff28
b20	UniRef50_A0A016TM84	030bf89c582b54e822d14ea442853d4103fe3e83df04f48d6ea22fe6d6d8d305	90	18	0.2	dev	28	c89f23439a5bbd9f1ddab562dea1776ba451caf70e9cd9b73adcd17d99d56064
b20	UniRef50_A0A061FLL9	eae49fd5e0fff3adda17da0833116b7fd6f3999101939866a8862cdc5da0339d	98	20	0.204082	train	3	52ad6d244ae986d51a90aac1236a6a11868bfb7adefc65d03dc52a067e27d93a
b20	UniRef50_A0A068U007	a510d8afad7510122218902ac56f845128e9d7dbda46cec86a9f55f7a92ff8b3	90	18	0.2	train	28	2b861eae88d616d68bafaeb11c3d3c7ca566fd7bf16ffaafdbb98dac9445237f
b20	UniRef50_A0A072NF96	f5e42a07076464fcaafdc55078364c5a4570cd56c1fc26296fb80c0545e0dcbf	102	20	0.196078	train	3	df6e576c7d9e79498f6880af35f10e9aa43e1fe91fef59f38d6168b68773f000
b20	UniRef50_A0A077NDL4	dc3bfb16b51e38d7d9b3ebaa478b791d0962b810bde9b9786ff5bab70c21dc98	84	17	0.202381	train	28	508e43b04b1b304dd57101d4911a2434fc3b6e875b95adc8ecb4d823cc65c0f1
b20	UniRef50_A0A084VWR1	2d0e125f2324a0ef9fb712de7f52c4cb85c562724372fd682c8083b9ec723596	82	16	0.195122	train	27	45636562664f19e962edba73168673ba6ae7f7bb7334a52722c82ef6202c6bed
b20	UniRef50_A0A085LZ44	d99b6e83c2d72ab04d22700a0dee72250998cee662acbc2e26cefe384c79544f	84	17	0.202381	train	25	22c8fbdf1a9a6985e3d96f1918b844f85449d1815eb2b963ea949b1975828ec1
b20	UniRef50_A0A0A0Q3D2	c259ecb7924a766ae7a05b343dda3750d2a41dd2519fe0ff68dd4c2e672f796c	87	17	0.195402	dev	25	ce6066de53a34e6ef26e04fa76420948c8cfb79a49e48f43d32c73000af2d914
b20	UniRef50_A0A0A8YAG0	7891323163a03924351b9f842eef7ba5b3b1eee70a8b57fbcff89567a5d354f0	88	18	0.204545	train	27	8bd60bd4b9c11d36682a2c7aa7e6132bd9f5de4fb682613428657b2e4813ac2f
b20	UniRef50_A0A0A8ZJN1	05d03d4ed11d942372ac9a796acbb0e3808759bd78ecd59719c61fbe4ed93458	97	19	0.195876	train	6	8c72a8a936860c759d55e7b44bcead7fe8533659c5b798e378f1b93c826f07a8
b20	UniRef50_A0A0B6XXM4	0d3d805dedbaa7784d4a237eb047f73386037c232a644acd0bee959537163c24	90	18	0.2	train	9	42ce8c9ce53c976a4b6c80eafbfdfd6ed5f4b19a29552894af04bd5be3e5f738
b20	UniRef50_A0A0B6Y2P2	7b0a4bfa7d416d68627ff078d337ff8a5bd2dc3e0f145ca6d5bfa88c148d54d8	96	19	0.197917	train	1	9656f4e0cc9f632f36b34bfc52b22cae051f0fcf99a3e97f06135760e9550754
b20	UniRef50_A0A0C1TPC9	bea46d36cb1c23e7dc4b09ef1e0d25c067ecca89bf2b6449826e93b3b0d8f239	119	24	0.201681	train	6	78739bc0255de413c34dbbd68fa79e8c7911503d120dc78a726fbbd943e9bf34
b20	UniRef50_A0A0C1ZHH8	acf0f3ba8f546ccea9a170aac2b94921cb0366dc5e12ea55a32c845d2071a615	110	22	0.2	train	6	10bec70117371afa96ad1ea3a407e5a9a7795b3656e4cb2b4f55a9174e4b2486
b20	UniRef50_A0A0C2H8D7	d46800be3556e4a78121783f277661a932ae8cc447ec7ab45373ebad0e8d6757	84	17	0.202381	train	22	8bec7aa42c47c51b3d7eb4f9de246d9620be56baf92ce4939c2939f7467883ea
b20	UniRef50_A0A0C2SG58	77bcf97fc7491a4e69cbcf962d5ce5cbd43a86b1063ca0f1dc91a313b0c31423	127	25	0.19685	train	18	48a9f3e5971911fb3e101ceca99e8d31ef9178b88040c5657000fbecd31ec772
b20	UniRef50_A0A0C3PQP7	5e9153634953dc2837d2e5201db0bb8f913a3cf8c6aeb418867802eb3a51d7da	121	24	0.198347	train	3	d9fe0c4242413d317cc1ee71cd83693d2eacf503cf36c9de7f5581f9bc074a59
b20	UniRef50_A0A0D0C2Y5	900a45c593d599090755a8b132fc3170eb35bd0900e3da6bd5d975d69ca1d37a	127	25	0.19685	train	3	ae643840691916796b5eb6790e6a0344e4de2e775ddd9c6cb73fd5f1a86c5171
b20	UniRef50_A0A0D0E7G0	1356b116198bb4c43cc46c92a07ee49021d3d9d23f87fbd53d8cac8d578345bc	107	21	0.196262	train	9	4221f2c2b9b63d50a28a3b22a7f98aaedfd661e50ce79c1c14c50cf66cd5e267
b20	UniRef50_A0A0D2NDY1	3bc7a18883498652a2ade7e785bdad9dbeb2871002dc5de8285bfd24bbbfb225	80	16	0.2	train	3	6e9c3d80fc37ca0fdad9a20ddd2fda0361ce538110c5bddf925665a930afd4d6
b20	UniRef50_A0A0E3VUE0	54cabb39538a1afcd6dbfd31d7e99b4481fc46cda4324c9e535a47d0a70bf4e1	94	19	0.202128	train	2	433a544f3a52b43833a9dda45b21f95a2d47b61f874ce8ced51d7b5e5ea8daa2
b20	UniRef50_A0A0F0LYG5	77076cfe3a2dbdaea8e5a0e369305e41ac87bd620ec9ac6f1464c8b128b53578	99	20	0.20202	train	28	44b9a447c3916edc08024422589960b1ce62915cb04731fe1473c762800e432d
b20	UniRef50_A0A0F8YFB4	a38976bfc928a2845718e2595c5575439982d710c43641d9f178c92586c31227	103	21	0.203883	train	11	7d3eff7c6223f7e7e0f53ed8332173fcd73c27f962ac8e75030fb3debd1d21af
b20	UniRef50_A0A0F9CTU6	a0312ba42148bac4796a71f57ac389a408671bb43981a81fcc355f90630841c1	107	21	0.196262	train	27	1a2f3bd5f92af5870b4101b19f437105a49abdde0106cb8dff58718f3062cb2f
b20	UniRef50_A0A0F9EQ31	ec69af796936c7de0f18ed809908ff726c9692286dc764d56929142573ff7820	89	18	0.202247	train	28	178b0acb618ecfc4c0a9b388a33a71c644d9480cfbc93300c08f036aa20a8225
b20	UniRef50_A0A0F9J2D6	7dcb841c5316fe9df677871a4f95132d974e3e18ec3f309c3c29aa153faa13bc	113	23	0.20354	train	1	be44a3a19e1ce39c410f01f5e2db32bcd5ea445a97262e0cd68662c41c7e7a0e
b20	UniRef50_A0A0G0Z1S5	b2d9050a61d5351c73d1546b2efd6fedc49c7d9b54c53961d834e36dc2598621	96	19	0.197917	train	2	b0caecbadab27eaf3f6f3254870459deeda7bebb2cf771c534a2c71954a3b8eb
b20	UniRef50_A0A0G2A409	a320dc231a31dafce110063fc0a8a6ff09a7dd51d3640d83e67c9b6331f84f0f	124	25	0.201613	train	5	b71faad330a1926bb481f8dee9001af5df4662401c6e3b6341c72324c4f14a92
b20	UniRef50_A0A0J8G432	3fb3206ffe6f5dc0c6b088c21e705e3c02432a78f771ecd3bfbc5e2218dd412e	95	19	0.2	train	1	63777d5c5c25492200ed8a6e043cdfd58e4630b62998d45f036e0193a5962eae
b20	UniRef50_A0A0K0XED6	7dbf5072d796c95ef4402a3cccbce61373b9b40c9e447135885d19371f45d21b	89	18	0.202247	train	1	1dd44e02fed54bc74153b40eb9858d0b5897ae2a439fe3bbf1b91aee349767d6
b20	UniRef50_A0A0K2SR82	2b05f6906b47789496cf395af8083feda780beacc8d02e76bca3b2f96fda3a27	105	21	0.2	train	6	6c1892f438dc109d2a2851f3a30093de1f3a8d24fd1eef1996666b5328405823
b20	UniRef50_A0A0L7LCZ9	517ab8f8dc432bb6e2070fa64f84aef85139ceaead9414a79116203120ad8f89	124	25	0.201613	train	28	04d6561736fc49e4bd226897f3b2ad3c48ff71425150ca9a0e4ba294d387103f
b20	UniRef50_A0A0M3I332	a04ad5145e45f7f94f4ca90bb0c12832445d60ad02932305af97dce67a0aafa2	100	20	0.2	train	28	fe68c02516cb9e1d3240d04f64ddb809c31cfdb56b25123dc24ec906a8543669
b20	UniRef50_A0A0M3IJB6	187f794e95631d5bbdb2c0bfdc2086097b79d851259c8cb4b5383575bb48fba7	102	20	0.196078	train	27	454c7e4624909b1d9f5ff2fd545a46f874fed3e975a6b717b034cb73d72d51ee
b20	UniRef50_A0A0M8NZ63	d9ee82625ca794c88c2813b3d43f399a1b5841434f132e2c09ea5909189de8d7	105	21	0.2	train	28	648743facb1c5ece50db1feafa2b80e9c67a391cd3da1ad00f1b0272c2577f62
b20	UniRef50_A0A0M9U2Z6	7d79dc7d22e5809e388eb12b3747d6f6c4a0856b0762f32ec4993c8e779be246	107	21	0.196262	train	3	6dfce0389571673ebc22c480b3f7366b21dda87208c5d4338fbae95494578d55
b20	UniRef50_A0A0N8PN19	8a5414bc6fa7b0edcb392f076ad961b091ec8c8d20868e3b36ff569582453172	107	21	0.196262	train	1	311ad79ef03fca8c7fc0184d28cd0a1cc1f04f1c412d14a3a8488a6175b59a31
b20	UniRef50_A0A0P1BCX1	b609b27be759a304558e840fcf4de095051149814016a7e5eac67045140147d2	81	16	0.197531	train	20	31121d655b6a931f9d9a0b8a2ff0f161813cfd9f8d6e0531e35c19e4afc53b60
b20	UniRef50_A0A0P7GBY7	85350c5d1230764c2289a0a9aa7ad6502f8c6d2819dc9ef12cfbf6318309ea7d	111	22	0.198198	train	1	f28526be922a91818272fa958102c4a8a7cba9ecd78ce98f5ce2ae2ae8f19ab3
b20	UniRef50_A0A0P7ZJC5	427f48dc92d8145d3fa9351e2e6f32bc0de109d1a1838bd14ddb8995cd5d62ca	121	24	0.198347	train	6	dcdb1dc36469a15e4e9196349c5a75ba6807e2b4f5f04a8264ec6f36a9cacc82
b20	UniRef50_A0A0P9UEU5	aba6f4f210b943e1c773a9b577a014a9d19c79aff01cffe52f78249f2e200563	87	17	0.195402	train	3	3f1d28578186e004d5081188a2c9e0baae4bc671794860db675fabf4202453e4
b20	UniRef50_A0A0Q9WCV8	45f4a16bbed9d0f04f9fc63845db89665bb2d25607f15cd313327090a3591b34	112	22	0.196429	train	2	735a2061e8050d506070ea6716802a029211e0a126b714522d5c8b82d3aa1d35
b20	UniRef50_A0A0S3SPF6	0fe6f3ab2ded4eac169a6c734d3fc7bb55bedc1de783457cd755c577abac71e5	84	17	0.202381	train	25	118dfd5521ba27a150497050f06eae7afcae7e6b10ee3def081f12caa4d3980f
b20	UniRef50_A0A0V0TVJ8	d80931c3c81b6be670649c5292fd9dbcc6fc2083e9ddf9a79ef595b7f47f5ae2	106	21	0.198113	train	28	0e97c0e510d02a619883f844a703c1bdc2c92d3b47adfea96cc0e4eeb839efa6
b20	UniRef50_A0A0V1F615	3053a9f7d041120b3bbebb6f1715573d7c28810f43c90acfd7af5c504f3101ab	98	20	0.204082	train	28	3f881268d30f7069dbf45acb5bcbbf5a13018b28d3447c1c03a7eb3189450676
b20	UniRef50_A0A0V1H226	32b46a8c597dc0f4032f8ce05960343b716586a5d02714ba2d41093de148b84d	114	23	0.201754	train	28	ecb4b0d25dc3a7bf687b04fa0dd624a055aa9baef959d312080d7bec337874c5
b20	UniRef50_A0A108U6Z5	1ed81505c96308a5adce04ceaf7b2a857985e8d2333aa1f74bf555d720f2e90b	119	24	0.201681	train	3	c06e902488abccc1583b6395ee9f95d5f6165ae59a19fe05f98504ef94ec0631
b20	UniRef50_A0A133U569	2d3493e384b0bcfc00668b54b27f6da4e3d94bc7cff835f6500637239e987a2a	96	19	0.197917	train	14	472b40071eac89392061dad8ed456b4d978bd9397e05e24f455aa86bf4bb29bb
b20	UniRef50_A0A154PQ46	b6bbc2b6e92cd83af5bb6d76b9bdb9b190078029adb57959561cba32e9ef4174	81	16	0.197531	train	28	d6cd836cc4d96d7e2b51e6f08757f05b9365c764bfe84059e47ffb9c778deef1
b20	UniRef50_A0A164D370	74ab6916beec9721aad5c22e1f9fcc8791634bf4479d3f7ca7964a30da1f55d0	99	20	0.20202	train	2	3e7141c208cc57ac8020763637ec045ed17743d5293b5a2ea7a19833ae6f0796
b20	UniRef50_A0A173YLT0	59db2dc34f1bddf2d1314c3b78ed2600af1090e0a8944cf73b90cb1a0427b915	121	24	0.198347	train	1	96935f2e0397cc1d019feaaff064cea0139107ec9e52e9a71e13da460cd6ccca
b20	UniRef50_A0A177E7S9	9f5bbc715dcd8e6adfe796304c4fe65503fcca777147224896584d3c5b77683a	106	21	0.198113	train	3	52efc1c75a618ffe6fd168672035d0caaf8ebe6475de0da232529a9a2cef160e
b20	UniRef50_A0A177NS74	75c31c0a5b7c7448c85d4075500e7413d8630794697a554617beb6019e464a9d	89	18	0.202247	train	18	93c19e99ebcd15e1925e628748454b2dd642e84905e20a4c9bef75080a5dbb98
b20	UniRef50_A0A177T5K3	d805efca6a859c24a3617b65499046e331c691e1a6fcf75da77c2348c3338ab2	117	23	0.196581	train	28	1e2fae620ec9ee22a19098c4f21efc055b4e7aa6083484649d51f3c153447028
b20	UniRef50_A0A182SW46	63f54c488d99b9092ed3ee504a58fc9086769d15f5229fa80c5232656f26c51f	126	25	0.198413	train	10	3c8df9c4b895cc390cda9d15c427c4e28de4166b4c7024341d73ba6c71db92b6
b20	UniRef50_A0A183E005	65cf16ad6512a91a06208b6eefca5109a7041b6f908342dc08d731d27a305a5d	85	17	0.2	train	20	0fdbd5e3b38b159729bb4ecf9fafc4f1b4ecc84a394657890e81557664d249b0
b20	UniRef50_A0A183FKX8	89c19d4e22d0a56a002b8eae98e809a07362a989a4ca499cb71ed253920602b0	111	22	0.198198	train	18	41910860ddbdb0cd07e134e81cb85d8b1d1ff07f9ee81ebd9d9f6ee1cf198b82
b20	UniRef50_A0A183HXD2	2d9f9623bbcd20cc671115c150645567e0e7b85eab57f0f0d93b2f4546308d06	80	16	0.2	train	20	3f114cee66e7e6c454cf67a9aa67bb055b2885edd467280c6b7067e66a896a86
b20	UniRef50_A0A195CRP8	d654142ee3da5ecd3d636bfd35c2adc17935fb3a0c4370d0e21f7c03632b9d64	103	21	0.203883	train	28	3c3b8eab73263b640fe64faafaa47b9a5e1675280f13bab1e4154cff0c06c862
b20	UniRef50_A0A195F913	ecf23a0a16084445a26852f35cd1490d6d04c61a40c3ba2ecdd077d7b9b2305c	86	17	0.197674	train	28	eea93e602bd173a5f0599cddd478da705d6a788d858153cfc97b28fb0cc268ce
b20	UniRef50_A0A1A6GND3	76ed0993a0f1973b33d93a8b7cd39be66e3d50214a2ed6782343e428ed1da199	89	18	0.202247	train	20	06994bbc77d97da6649d95752032675bfa1ac235d23f60aa8903943dbcaa7be5
b20	UniRef50_A0A1A8SNK1	cd5928f005835f82ba7ef8808aa337793dababddbc6ca4f9e7348f9264ca2f30	97	19	0.195876	train	28	5789ad04d9dfa029fef1922641eb0ea94bf37ba08bea459d08fa9d2331a6f4c3
b20	UniRef50_A0A1B0GGP7	33649e215cfbc45169010faa729ffad6db5c1f0d818bcd26e4b16e87d0e9a0aa	119	24	0.201681	dev	28	205e9127e301890dec27fe63d65ff3299b7db0054085bdaedf3b587e8d9be07c
b20	UniRef50_A0A1B0ZF72	a9f57b7fa88e1c7048577e56b0d9dfee81ca824a1dd1dacdcf6e5a97e1416890	110	22	0.2	train	1	19b25f222aa237ce5da888d9bb9bbf7be005f8daaf918f2f8b003fea9b12ba1f
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b20	UniRef50_A0A1B6HTZ6	77fcea10928926eb4178189c6d52d0d5f616dc372f1f2eedd931cb47d9c93d94	106	21	0.198113	train	5	a1fcde01133933cd4ea2d987f9e295dd0415ff3b9031b7ff4e1feb7bca6ab828
b20	UniRef50_A0A1D1XZ01	0007cc409c741890cde397682b5c5aae51545ff4e4ba3b1b3c1081420d963643	121	24	0.198347	train	28	4a986ce65c478d71bc1b76c61e65e238bc543ea74b1aa74bfdc5aed714b4cb14
b20	UniRef50_A0A1E1LZA3	797dfe935df1509a49ea49443ce79acaa7d123fbe55a568cb234cc5239e31c48	91	18	0.197802	train	12	1236cac6562835c280adc1bd20ac0181f0cea6aaaac923a32d82add53b7c3015
b20	UniRef50_A0A1H2NRT0	8739351ced73eb0a0d7e81021fe2138506f264487b9371d25406596e57d1059a	94	19	0.202128	train	10	3b77ab26efaa870aa54c338a9b486b12a16a8a7d6e0f0c4a4ad13f3a329c988c
b20	UniRef50_A0A1H8V485	81f11b2372a40d86ff732d8e36b64d2e43ccc68dfaf2563dfb3acc93d1d16cf4	123	25	0.203252	train	3	cf0aed3a0f9c818a793251b5e248fd4fcfa169e3b27ffb4a17e38ba97526bcbe
b20	UniRef50_A0A1I1AJ65	42cf3dc3fcb4d2ee493d0409259353724cfb247350c954c2bd48d00140779040	114	23	0.201754	train	3	75c20efc0fb5c337be4b040f2acb96987b50ece77005a8f7c52c0880804d924c
b20	UniRef50_A0A1I1HP14	0b82613f27c3b612c63db397cbe8a53b956acb4b9ec21c9e355789bafb5f8c81	104	21	0.201923	train	10	c3f0444f48ff65e7969fc2a06a8f8562c9d2aa2bf92acc88c91151c5abf87603
b20	UniRef50_A0A1I4TT04	6467a14f257aeb84eaa79b9d21538b50c62abe1b9fcc63d55ceea503bb8c18dd	108	22	0.203704	train	2	cd8cbb15b3351bc8f825704e89d97b5da16df29ca310c3c4d92da92ada59582c
b20	UniRef50_A0A1I6S5W8	f8582a597d103d83d6371c617232a9ceedd03140e52cd9ded68cd9963f36285a	111	22	0.198198	train	5	98cc2d8d4036b3d9362f84f848f1d260690ae280536825fbc62df1020c73c267
b20	UniRef50_A0A1J3EQD4	c2d3cb9d84baa34fdf9a42c433ad886b6d6847b1fbfe16887279bc348053f9c5	111	22	0.198198	train	6	9dc884ff1adc20ca13107874da1638adc9b0d19af4c2d8c1fc0441ae604d8bd2
b20	UniRef50_A0A1J5SBD3	a6ef92a513cfbbb7a56e1ca83a186574748f1184eb980467c01ea251463ffe92	107	21	0.196262	train	5	8a037c691e5cfcb3e3d37e0ca314e3e09f634c77fca29ad7e3dfa8ea2f1ac026
b20	UniRef50_A0A1J5SWA7	7ca4b7c79ffb9c0ca3c5f6393a9e29d8ce6188fd5fb081c4d32211b6e6645c33	111	22	0.198198	dev	2	3c2bab3cd73474170ad53300dccd8c3d2ead86790012196ba520000e7cce0b24
b20	UniRef50_A0A1L9NJY7	71021d26aaaf126c7f21497d673510f5ed83528274edf3b83558f68729427ef2	112	22	0.196429	train	1	02276713e0edc30a62a7b0b4674d878319ba10120b1958b2a7bbbefefc815776
b20	UniRef50_A0A1M6XVW1	c62858166ba4fc21ec7805cdefe61852762de81870f79443d4a27e253a081f63	118	24	0.20339	train	12	f7bff670fc66627e7ad9523a2fe0ff5bd78093522206df47ba7ade584af93ce3
b20	UniRef50_A0A1R1PW21	1bc7f2d03787c7169edc0f99d11047f9e8861311f3fc6ae7eca345505f524ac4	81	16	0.197531	train	28	cd8758791116e8c7a3d6b6aeb81ab7f1bc73524e379bdf9d1e1f6467922660de
b20	UniRef50_A0A1S4ARX4	c7320a8938def7dfd5d67d5068d2ff8cf7377da4a046d855f5715eb29b1dc47c	104	21	0.201923	train	5	b10ce4ecc1b550781f18f164e9027a0a3604e26013e685e4f8cf3674b4f9b903
b20	UniRef50_A0A1S9SZE5	e9d4d3dd874082f5209b36bbac4a4717c78d97202247bdb2d456c068ace6efa9	127	25	0.19685	train	6	e2fb2ebb676bd69fb54f5dece901001e8a3f6eb6fd1fa7880b4d73c93b617333
b20	UniRef50_A0A1V4JV30	ae685b6b20d6614f3f2f4bccad77597d544e80d89fcae979994f4ad25fc92b70	119	24	0.201681	train	28	c9f87400e7498678cbffbe29c40a6d1b1b3de3ae549ff953fe669159944cbc47
b20	UniRef50_A0A1W1V5A4	591b4f55d075fe8ed73b46d5d25c12dd791effdf0a365d83436959cb19cf4953	81	16	0.197531	train	27	b0e2f64d5d715b354d4ae65c3684d8fa84d6dfafde8bf83250e06368514e12f8
b20	UniRef50_A0A1Y0B3D7	fb4c19bb1b2a93893c0a1391d4466d676a3922b4b63b4a23f4726dcaf5dbe2cf	112	22	0.196429	train	28	cd823b117da1f1b0e817d4185b464f0d03f70d231acb0b92f2422687a63092a8
b20	UniRef50_A0A212K276	2287b29ba6192dedba8349c9ef1cdc6174003ceda63b3c4fe3c5f3b2accda560	83	17	0.204819	train	3	d8971312e558ae29597e836b9ecc0bf90848eb1ea385b7746c8467baed0a9527
b20	UniRef50_A0A223D6K8	c485c24ace163daabfa86be5556441c400582d232d31bf81b0d464646a0168ee	92	18	0.195652	dev	5	27c4c84442dd3db32ba51e41d1a3ff435886421f1cc651109bf2ed3ea281eaf6
b20	UniRef50_A0A224ZA18	47a8514ddf857d9c8132fa5a4a32b1d0829d8a3c5e4b96300bf64bba3cf319df	80	16	0.2	train	28	863531013bec07bb95cd0c020ae252a05966ed8f136686c628bd5b3f907d78e7
b20	UniRef50_A0A225UZL1	6ba05f29a4b3673ebe0aea31ee4460ceeb3d4bcf94576b8120da5ec87310a82f	118	24	0.20339	train	1	b9ec1c9e2c6f0919c2c613a3efa28ef2877eb902d00e86081234dd532705b51a
b20	UniRef50_A0A232EE27	c8d1d000348ab706865e9e8fe8e96c8a138b569d7b1576c2aa5f97308e451b12	94	19	0.202128	train	22	c5024ffc867d81c673b409f2240836f1f631478f028d7b51d2a99d2496850ed7
b20	UniRef50_A0A235BXX3	6d9916bff68f62ff469ccf314c47e7935eaf12b4fa2a90d0888f1e38e123dfb5	114	23	0.201754	train	28	fa36c20b742c1534498462ddd6c9fa1703faca0a87935d53a726ed5e47a0fd45
b20	UniRef50_A0A239IKA4	087d4140ca5802b1c208075d06d2f9dd6458a4a1f69028341d486d77e064e229	111	22	0.198198	train	5	eebca4bfc1d328f72cccd8e1b6fff954b42db41ffd2a0fb73ac3676538e7519f
b20	UniRef50_A0A261BEY2	1d960d800004a46a58630c087907a4570e7ff169de66465dfeb614586ce43266	80	16	0.2	train	28	6ad7259b655d01967a813bacc823226845b35a7e25cd2f1db0498d191ed21371
b20	UniRef50_A0A271VJK0	781fc827d4cad345e74e27666a157d24a2799de75f4ab555706cb88564f17cce	125	25	0.2	train	13	7a608a2224377be908d7223da037ef93a6e8b4a8af5f80b2a617c370b6b538a1
b20	UniRef50_A0A2A4STQ7	20a0874d1a4048c185bbf0703bc6cfa993717fe4a2a9cf6e63e049846cada576	82	16	0.195122	train	4	67a2e95bf4f9707d4df905d4e331be3bae0a36971a02adfdd33f2b10676788aa
b20	UniRef50_A0A2D2AXE1	31cc76dce5e6cbdc50d40766f5c052e47e770c0e034f9856323892781edaeedb	119	24	0.201681	train	11	c14cb3c98b837f71e441f45b03b230916a06e91673ddc66c043165040a7482e9
b20	UniRef50_A0A2D4JZR0	a9ccde6722ecf73ee63196ada0d5c33ee5de4d286bf92a9bd390733347b913ea	117	23	0.196581	train	28	2f9ec12ef09a67549016bbe8773be2df2c93b28df5678e536c7521d194c1e182
b20	UniRef50_A0A2G8L8R4	25c1d043f9e6f653c52dbc06f20658de327dcd81e9f854b88731457ad1f9ddde	126	25	0.198413	dev	9	dca586a268f4d787aaba0cb846d7d9fb345bdf97da08f70129277b05c7a8e84a
b20	UniRef50_A0A2H0VBJ6	86922002dcf0fac8cb8a10cb690cc8e7f7412a25e67b46e94e40eadc0a13edf3	114	23	0.201754	train	1	49284f687c68db56bc4754b7748bf998d33b122ca28950a0a004d4706819edcd

End of preview.

DelePref paper data

This public dataset accompanies DelePref, a method for exact-budget protein shrinking. It provides the frozen preference pairs and selected sequence metadata, structural predictions, and evidence used in the reported analyses.

evidence/paper_evidence_v2.zip: the post-outcome five-draw completion comparison (including per-WT draws and 18 new prediction artifacts), and the deterministic exact-identity Raygun analysis for 140 outputs. Each archive includes a manifest with source SHA256 hashes. Original cluster-root paths in JSON are normalized to logical identifiers.
figures/: the three figure PDFs supplied in the manuscript project.
structures/primary-structures.tar.gz: 2,469 physical predictions and 240 normalized native-reference records, mapped to 3,474 logical measurement rows; the two failed prediction statuses remain in the manifest. SHA256: a50fb4c86196e69aac61830b0b71923d4608888774dc1724e509959e1c184676.
cas9/cas9-evidence-v1.zip: five full-length historical WT embeddings, sequences, profiles and selected plans, exported as safetensors; SHA256 a4339fb5ff80f41a10aabb70ffe6996434abbcd2ea64d11bdab7e9a890296d21. Complex predictions are provided separately in cas9/cas9-structures-v1.tar.gz (88 predictions and 18 reference files; SHA256 0a3bb74688a7fa73eac96d800d0d4e0231582245cf8ea1b0432569cc1baed8ba).
training/: 600 compressed preference-pair shards containing 24,386,017 pairs (36,013,051,774 bytes before compression), selected WT sequence manifests and condition, split and audit metadata. training_manifest.json records per-file hashes; its SHA256 is 8455b818140f8c7be73c344a8525b320c00109b24161fd782f8da22b68316e37.

The evidence supports reaggregation from frozen per-output measurements. It is not a new training, structure-prediction, or laboratory experiment. The earlier single-draw completion and alternative Raygun correspondence bounds are distinct historical analyses.

Sources and terms

The dataset combines author-produced results with material derived from UniProt/UniRef, PDB, CATH, M-CSA, ProteinGym, MaveDB, and external predictors/baselines. Source identifiers, references and license notices are maintained in the code repository's DATA_CARD.md and THIRD_PARTY_NOTICES.md. No blanket license is asserted for all third-party-derived material; follow the applicable upstream terms, including any noncommercial terms for third-party software and related artifacts. The code repository's MIT license applies to its author-written code and exported heads, not automatically to this dataset.

Reproduction

See the repository's README for training-data download and preparation commands, and docs/reproduction.md and benchmarks/manifest.json for methods, data versions and checksums. The original UniRef release identity is not fully recovered; selected WT sequences are provided for reuse of the frozen training pairs. The paper's structural measurements are computational predictions, not experimental activity measurements.

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DelePref paper data

Contents

Sources and terms

Reproduction