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train

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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 7 new columns ({'score', 'protein', 'type', 's', 'p_len', 't', 'r_len'}) and 2 missing columns ({'label', 'pair_id'}).

This happened while the csv dataset builder was generating data using

hf://datasets/yuhuajiaotky/ProRiboGen-weights/generation/data/train.csv (at revision d453092ad78bb8637dfff469557d37c24603de08), ['hf://datasets/yuhuajiaotky/ProRiboGen-weights@d453092ad78bb8637dfff469557d37c24603de08/classifier/data/train_labeled.csv', 'hf://datasets/yuhuajiaotky/ProRiboGen-weights@d453092ad78bb8637dfff469557d37c24603de08/generation/data/train.csv']

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 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 784, 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 795, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              p_id: string
              protein: string
              rna: string
              r_id: string
              s: int64
              t: int64
              score: double
              type: string
              p_len: int64
              r_len: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1348
              to
              {'r_id': Value('string'), 'rna': Value('string'), 'p_id': Value('string'), 'label': Value('int64'), 'pair_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 1369, 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 948, 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 1694, 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 1850, 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 7 new columns ({'score', 'protein', 'type', 's', 'p_len', 't', 'r_len'}) and 2 missing columns ({'label', 'pair_id'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/yuhuajiaotky/ProRiboGen-weights/generation/data/train.csv (at revision d453092ad78bb8637dfff469557d37c24603de08), ['hf://datasets/yuhuajiaotky/ProRiboGen-weights@d453092ad78bb8637dfff469557d37c24603de08/classifier/data/train_labeled.csv', 'hf://datasets/yuhuajiaotky/ProRiboGen-weights@d453092ad78bb8637dfff469557d37c24603de08/generation/data/train.csv']
              
              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.

r_id string	rna string	p_id string	label int64	pair_id string
FBtr0346891	UGCAUUUUUUCCAUAUAAGGACAUUGUAAUCUAUUAGCAU	Fly-Pep	1	FBtr0346891::Fly-Pep
FBtr0346891_shuf0	UACGGUCCUACAUGAUAUUAAUCUGAUUCUAAUUUAUAGU	Fly-Pep	0	FBtr0346891::Fly-Pep
FBtr0346902	GCUUAAGACAGCAGGACGGUGAUCAUGGGAACAACUCACC	Fly-Pep	1	FBtr0346902::Fly-Pep
FBtr0346902_shuf0	GAGGAAGCUACGAACUGAUACCCGGCUGGAGAAACAUCCU	Fly-Pep	0	FBtr0346902::Fly-Pep
FBtr0081489	CCUGAGGUGCGGUUAUUGCUAGUUGAAAACUUUAACCAAU	Fly-Pep	1	FBtr0081489::Fly-Pep
FBtr0081489_shuf0	UGCAUUCUUUCGUUGAAAAUCCGUGUAACAUGAAGGCGUA	Fly-Pep	0	FBtr0081489::Fly-Pep
FBtr0346899	ACAAUUGUGGUUAGUACUGUACCUUUAUGUAUGUAAGCGU	Fly-Pep	1	FBtr0346899::Fly-Pep
FBtr0346899_shuf0	GAAAGUGCUAUUUCAGGCAAAUGUCAUGCUUGUUUUGUAU	Fly-Pep	0	FBtr0346899::Fly-Pep
FBti0019468-RA	AAGGAAUUUCUUAUCACUUU	Fly-Pep	1	FBti0019468-RA::Fly-Pep
FBti0019468-RA_shuf0	AGUCUUACUGAUAUUUACUA	Fly-Pep	0	FBti0019468-RA::Fly-Pep
FBtr0346899	CCCUAUCAACUUUUAAUGGU	Fly-Pep	1	FBtr0346899::Fly-Pep
FBtr0346899_shuf0	CCAUCUUUUAUCCUGAUGAA	Fly-Pep	0	FBtr0346899::Fly-Pep
FBtr0332373	AAUUAUCCACAAUAACCAUCAUUUUUGAAAAGGCAGGGUGCCCGGGUCUUUUACGGUCGU	Fly-Pep	1	FBtr0332373::Fly-Pep
FBtr0332373_shuf0	UUGCUCCUCACAUUGGUGGAUAAUAGCAUAUUAAAGAGGCGUCUUCGUAUCCGGAUAACC	Fly-Pep	0	FBtr0332373::Fly-Pep
FBtr0075199	CUGAGGUCGAGGAAGAUGGCGCCGGCCAGGACAACGGCGAAGAGGAGAUGGAAGCCCAGG	Fly-Pep	1	FBtr0075199::Fly-Pep
FBtr0075199_shuf0	GAAAGGAGGGGCGGGGCGAUAAAGGACGAGCAGGUCUGACCAACCGAGCCGAUGCGAGGC	Fly-Pep	0	FBtr0075199::Fly-Pep
FBtr0075199	GCAUUGAGGAGAGCUAUCGCCUCAAGGCCAACAUGAUCCGUCAGGAGGCUAAGAUCGCAG	Fly-Pep	1	FBtr0075199::Fly-Pep
FBtr0075199_shuf0	ACGUGGCAGAACUACACAGACAAACAUGGUGUUACGGCAGCUCUUGAGGGACCCUGGACG	Fly-Pep	0	FBtr0075199::Fly-Pep
FBtr0086355	UUAGUACUUAGAUGGGGGGCUUAGGAUGGGGCUUGGGAAC	Fly-Pep	1	FBtr0086355::Fly-Pep
FBtr0086355_shuf0	UGGAGGGAACCAAAUUGUGGCGAUGGGUGUUUUGGGAGCU	Fly-Pep	0	FBtr0086355::Fly-Pep
FBtr0114318	CGGGUAUGAAAUUCAAUGAU	Fly-Pep	1	FBtr0114318::Fly-Pep
FBtr0114318_shuf0	GGUAUAUAGAGACUAUAGUC	Fly-Pep	0	FBtr0114318::Fly-Pep
FBtr0452214	UUCAGUUGUGGAGCGAGAGCUUACGCAAUGGAGCGGAGUGAUGAGCACAUUAUCCGAGGCAAUUUUUUUAGUGCCUGGCCGCGAAAUGCCGCCGGGCCGU	Fly-Pep	1	FBtr0452214::Fly-Pep
FBtr0452214_shuf0	AAAUUAGCAUACUCGGUUACGUACGCGCGGGCGGUUUCCGUUUCCGAGGGGACUAUAUUCGAGCCGGCUUCCUGGAGCAGGGGCUAGACUGAAGGGUAUA	Fly-Pep	0	FBtr0452214::Fly-Pep
FBtr0300861	UGCGAGAUUGGUCUUACUGA	Fly-Pep	1	FBtr0300861::Fly-Pep
FBtr0300861_shuf0	GUUAAUUUUAAGCUGGCGCG	Fly-Pep	0	FBtr0300861::Fly-Pep
FBtr0114333	UAAAACCUUAAAAAUAAUAUCGACAUCGAAACAAAAAAAACUUGAUGAACCAUGAUAUUU	Fly-Pep	1	FBtr0114333::Fly-Pep
FBtr0114333_shuf0	AAGAAGAUAACAUAAACUCCAACUGAAUUAGAUAUAAAUAAUGCUUUAAUCAAUAACACA	Fly-Pep	0	FBtr0114333::Fly-Pep
FBtr0345082	UCAUGUUGAGACACUAUGUGUCCUGCAGUGCUGAGCUUCAAAAUCAACCAAAAGCCUUAU	Fly-Pep	1	FBtr0345082::Fly-Pep
FBtr0345082_shuf0	GAAGACUUAUCAUUAAUCUAGUCUUGACGACGCUCUCAACUAGACAAGCACCGUGAUGUU	Fly-Pep	0	FBtr0345082::Fly-Pep
FBtr0343000	CCUUUACUAGUUUACUUACU	Fly-Pep	1	FBtr0343000::Fly-Pep
FBtr0343000_shuf0	CUCGUUUAUUUUCACACUAU	Fly-Pep	0	FBtr0343000::Fly-Pep
FBtr0076635	UAAUUGAAAGUUCUUGAUAG	Fly-Pep	1	FBtr0076635::Fly-Pep
FBtr0076635_shuf0	AAGCUGAAUGAUAUUUAUUG	Fly-Pep	0	FBtr0076635::Fly-Pep
FBtr0332373	UGAUUUUAUUGUUGUUCUGGUAUUGUAUGGAUGUGGGUUUCGGUCGUAUUAUAUGGAUAUUUAAUAGCACGAGUCUAUUC	Fly-Pep	1	FBtr0332373::Fly-Pep
FBtr0332373_shuf0	GUUGGUGAGUGACGUAAUGUGAAUUUUGCUUGUGAGAUAUUCAUGAGUAGAUUGUCUUCUCUUUAUCUGUUUAAGUUGUU	Fly-Pep	0	FBtr0332373::Fly-Pep
FBtr0114303	CCCAACCAAUAUGUUACGACUUACGGGACAGCCUUGAAAACAUCUGAUCUC	Fly-Pep	1	FBtr0114303::Fly-Pep
FBtr0114303_shuf0	UGAAACCAACUAAUCCUGUUACAACCAUCUGCAGACCGACGUCGUUAGUCA	Fly-Pep	0	FBtr0114303::Fly-Pep
FBtr0346902	CAAUUCAUCAUUAAAAUUGUAAUAUUUAAAUAACAUUAUG	Fly-Pep	1	FBtr0346902::Fly-Pep
FBtr0346902_shuf0	UUUAAAUUAAAAAUUAUAACUGUCACUUAAUAGCUUAAUA	Fly-Pep	0	FBtr0346902::Fly-Pep
FBtr0332373	AUUCAACAUAAUUAUACCACACUUAUUUUUCGUAAUUUUGUGCAUACUACCUCAAUUUCGUUGAUGUACAAUACAAUGAUUGACGGUCUUGGUAUGAUUU	Fly-Pep	1	FBtr0332373::Fly-Pep
FBtr0332373_shuf0	UUGGGAAGCAGCAUUCUGUCCUAUUUGUAUAUCUCAAAAUUCCAUUUCACUUAAAUACAGAUUCAGAUUUAGAUUUAUUUGAUAGAUAUCCCUCAGUUUU	Fly-Pep	0	FBtr0332373::Fly-Pep
FBtr0091641	GGGAGCGGGGCUUCGAUGAUCGCUCGGUUUGAACGGAUAGAGCGAAUUCUGAGUGGU	Fly-Pep	1	FBtr0091641::Fly-Pep
FBtr0091641_shuf0	GAUGUGGUAAGGUCUGUUAUGGGGGUCAUGGCAACGCGGCACAAUUGGUGCGUGCGA	Fly-Pep	0	FBtr0091641::Fly-Pep
FBtr0345714	CCUCAGUUUUCAUUCAAAAGUCAUCUUUUCUUCGUUGGUCCCUGCUUGAGCUUGAAACAUUGUGCCAAGAAUUUUUUUCU	Fly-Pep	1	FBtr0345714::Fly-Pep
FBtr0345714_shuf0	UAGUUACUUUGCUGAUUAUUUUAUUGCACUCGCGCCCGCGAAUUUUCUUCGGUUAACAUUUGCUUCUAUCCUUCAUAGAA	Fly-Pep	0	FBtr0345714::Fly-Pep
FBtr0091929	UAUUCAGGUAACUGCAUCUGCUUAUCAGAUCUGUUCAGAGCCGACCCUCCGUCACACCUUUGUGUUUCCCAGUAAUUCUG	Fly-Pep	1	FBtr0091929::Fly-Pep
FBtr0091929_shuf0	AUCACUCCAUUGUCGAUCCGGCGUAUGUCUGACUCAUCUCGUAUACCCUGGAUCUCUACGUUAUCCGAGAUUAGCUAUCU	Fly-Pep	0	FBtr0091929::Fly-Pep
FBtr0091929	UCGUUCGGAUCGGCUUUCCGCUGCCUUCCACUGGAUGACGACGGGUUAUCCGGCGGUCGACGCACGGUCAUGCACCCCCGAUCCGUCGCCCCCACCACCC	Fly-Pep	1	FBtr0091929::Fly-Pep
FBtr0091929_shuf0	GCCCGCGGCUCAGCGUCCUGCCAAAGCUGGUCCCCUUUCGUCGUCUCGCAAGGUACCGAUCCAUGCGCCCCGAGAGCCUCGCAUUAUCCGCUCGGCGUCC	Fly-Pep	0	FBtr0091929::Fly-Pep
FBtr0346891	GAGGAAAAGAAACUAACAAGGAUUUUCUUAGUAGCGGCGA	Fly-Pep	1	FBtr0346891::Fly-Pep
FBtr0346891_shuf0	AAGGUACACCAGGAGAGCCGGUAUAUAUUAAAUGAAAUGG	Fly-Pep	0	FBtr0346891::Fly-Pep
FBtr0332373	ACAAAUCAACACUACGGACAUAACCAAUUUUCUGGCAAACUGCAAGUGCCCUAUAUAAUA	Fly-Pep	1	FBtr0332373::Fly-Pep
FBtr0332373_shuf0	UCUUCGCGGACCAUAAAACAUUGUUAACACUAACGCCACCAUAAGAACAUGACUUAAAUA	Fly-Pep	0	FBtr0332373::Fly-Pep
FBtr0070822	GCUUCUAAGAAGGAUCGCUUGUCUGGGCAAGAGGAUCAGGAUCGGGAUGGUCUUGAUUCUGCUGGAGGAGGAGGAGGAGA	Fly-Pep	1	FBtr0070822::Fly-Pep
FBtr0070822_shuf0	ACCAAAGGGUGAGGCUGUUUCGAGGAUUAAUGGGUGUAAGGCGGGACUGAGGGGGGUAAGCGCUUAAUUAGCCAUCGGUG	Fly-Pep	0	FBtr0070822::Fly-Pep
FBtr0334640	AAGAAGGUGCUAGUUACAUA	Fly-Pep	1	FBtr0334640::Fly-Pep
FBtr0334640_shuf0	GUUAGACAGUUGAGAAAUCA	Fly-Pep	0	FBtr0334640::Fly-Pep
FBtr0332373	UCAAAAAUCUGUCUUGCACU	Fly-Pep	1	FBtr0332373::Fly-Pep
FBtr0332373_shuf0	GUUAGACUUACUAACCUCAU	Fly-Pep	0	FBtr0332373::Fly-Pep
FBtr0070035	ACGGUAGAGCCCGAGAAUUA	Fly-Pep	1	FBtr0070035::Fly-Pep
FBtr0070035_shuf0	CGCGGAACCUAUAAUGGAGA	Fly-Pep	0	FBtr0070035::Fly-Pep
FBtr0346895	UCCAUAUAAGGACAUUGUAAUCUAUUAGCAUAUACCAAAU	Fly-Pep	1	FBtr0346895::Fly-Pep
FBtr0346895_shuf0	UUUUAAAUAGACUUCUACACAUGUACCGAUAAAUAAAGCU	Fly-Pep	0	FBtr0346895::Fly-Pep
FBtr0345714	AGUACUCAGAAAUCGCUCGAAAAGGGACAUUUUGAUUUUGCUUUGAUUUUGUGCCUUAGU	Fly-Pep	1	FBtr0345714::Fly-Pep
FBtr0345714_shuf0	CGUAAAAGCCCUUUUGGUUGGUACUAGUAAUACGUAGAUUUUAGUGCUUGCAUUCUUGAA	Fly-Pep	0	FBtr0345714::Fly-Pep
FBti0060358-RA	GUAGGGAAAGCGAAACAGCAGAGCACUUAAAAGAAAUUGG	Fly-Pep	1	FBti0060358-RA::Fly-Pep
FBti0060358-RA_shuf0	UAUGAAGAGAAGAAUGAACACAUCCAAGGAGGUGAAGACG	Fly-Pep	0	FBti0060358-RA::Fly-Pep
FBtr0075199	UACGAUCCAUCGGAAGCCACUGGCGAUGACGAGGACGUGGAGAUGGUGGAUGAUAAUGCU	Fly-Pep	1	FBtr0075199::Fly-Pep
FBtr0075199_shuf0	ACUUACGGAUGCGGGAUUGACAAAAGCAAACGGCGUUUGGUGAGACCUCGGGGUGAAUCG	Fly-Pep	0	FBtr0075199::Fly-Pep
FBtr0113504	GAUAAGUAAUUACCGUUUGAUAUCCGUGAUAUUAAACCCC	Fly-Pep	1	FBtr0113504::Fly-Pep
FBtr0113504_shuf0	CGGUUUAUUAGAAUCGACCAUCAUUCUAUAAAGAUCGAUC	Fly-Pep	0	FBtr0113504::Fly-Pep
FBtr0114331	UACUAGAAGAUUUAUGGUUAGAACACAUAUGAUUAACCGUGAUUAUCUCAACUAGGGCGG	Fly-Pep	1	FBtr0114331::Fly-Pep
FBtr0114331_shuf0	GCGUCCUUUUAUUACAGAAGAAGACUUCAGCUGAAAUGUUUGCACAAGAUUAAGGUAGAU	Fly-Pep	0	FBtr0114331::Fly-Pep
FBtr0070822	AACUACAAGAUGAAAAGAGCGGAACCACCUGCACACCAUCAUCAUUAUCAUCAUCGUUUUGGGCGCAUGUUGUGUGGUUC	Fly-Pep	1	FBtr0070822::Fly-Pep
FBtr0070822_shuf0	CAAAUAAUCUCGAAUCAAACAAAACCGUAGCCACACCCCAGACACUCUGGGGCGAGGUUGUUGUUUUAGUGUAUUUUCGG	Fly-Pep	0	FBtr0070822::Fly-Pep
FBtr0086851	UUAUCCCUGUCAUAAGAAUAAUUGAUGAUAAAAGUUGCUG	Fly-Pep	1	FBtr0086851::Fly-Pep
FBtr0086851_shuf0	AAAAUGCUUUGAAACCGCUUUUUAUUGGAUAAAAUGAUGC	Fly-Pep	0	FBtr0086851::Fly-Pep
FBtr0309788	UGCCAUAUUCCAUACGUCACAAAAAUGGAGGUAAUUUACGACUGAUAAGCCGUGAUCGAC	Fly-Pep	1	FBtr0309788::Fly-Pep
FBtr0309788_shuf0	GUAUUUAACUAGACGCCGUGGAAAUGUUCGGAAAAGGAUCAACAACCUUGUUACAACCCU	Fly-Pep	0	FBtr0309788::Fly-Pep
FBtr0079905	CGGUCGUGGCCGUGGACGCUGGGCCCGUGGACGUGGAAAG	Fly-Pep	1	FBtr0079905::Fly-Pep
FBtr0079905_shuf0	UAGCCGACGCGAGGCGUUGGGGGGGGUAGCACGCCCUGUG	Fly-Pep	0	FBtr0079905::Fly-Pep
FBtr0113506	UUAUCUAUUAACUUUCGUUCUACUGAGUGGUAAAUGCGGA	Fly-Pep	1	FBtr0113506::Fly-Pep
FBtr0113506_shuf0	GAUAUUUCUUGUUGUUAAUAUUACUUCCACAGGGUGGAAC	Fly-Pep	0	FBtr0113506::Fly-Pep
FBtr0075199	UCCCGGUCUGAUCUCCAAGCUGGAGUGCUAUGAGUGCUCG	Fly-Pep	1	FBtr0075199::Fly-Pep
FBtr0075199_shuf0	CUCGUUCCGGGUUUCUACGAACGUGUACUGCCGGUAGCGA	Fly-Pep	0	FBtr0075199::Fly-Pep
FBtr0343913	UUAGAAUAAAAACCAUAAAC	Fly-Pep	1	FBtr0343913::Fly-Pep
FBtr0343913_shuf0	UCUUAAAACGCUAAAAAAAA	Fly-Pep	0	FBtr0343913::Fly-Pep
FBtr0346801	CAAAAAAUAAAUUUCGAAACAUUUGCUCGUGAUAUUUUUA	Fly-Pep	1	FBtr0346801::Fly-Pep
FBtr0346801_shuf0	UAUUUUUACAGUUAUAUAGCCCUCAUAAGAGUAAAUAAAU	Fly-Pep	0	FBtr0346801::Fly-Pep
FBtr0309749	UUCCUGUUAUGGUUACACAUUU	Fly-Pep	1	FBtr0309749::Fly-Pep
FBtr0309749_shuf0	UAUUUCUCUAAGUCUGCUUGUA	Fly-Pep	0	FBtr0309749::Fly-Pep
FBtr0309749	ACACGACGCUAACUGUGCCAUAAGUGGACAACAUAAAAUCUGCAACCUAUGUUCGAAGUU	Fly-Pep	1	FBtr0309749::Fly-Pep
FBtr0309749_shuf0	GGAGCAACGGAUAUAACGAGACCAAUUUUAUAUUCAGACGAAAACUCGCAUAUGCUCCCU	Fly-Pep	0	FBtr0309749::Fly-Pep
FBtr0082700	UGCCUUUCCGUUUGCAACGAGUGUGCGCCUGUGCCUGUGU	Fly-Pep	1	FBtr0082700::Fly-Pep
FBtr0082700_shuf0	UGCUGCGCCUGUCGGGCGAUUGUGGUAAUUGCUUCUCCCU	Fly-Pep	0	FBtr0082700::Fly-Pep
FBtr0075199	GAGCAAGAGCCCGAACCUGAGCCAGCUCCAGUCCAAACUCCUGCCCCGGCUGAACCUGCACCACCAGCCAAGACCCCAGCCAAGACUCCGACCAAGGCAG	Fly-Pep	1	FBtr0075199::Fly-Pep
FBtr0075199_shuf0	GGACAGCCAAAACAAACGGCCCCUACCUCAAGCCCCCACCUAGCAGAAGGCCCACCGCCCUACAAGCUGGCAUGGCCCAGACGCGCCCCCAAUGGGCUAA	Fly-Pep	0	FBtr0075199::Fly-Pep
FBtr0332373	AUUUUUAAGAAAUCGGAAGUAUGUAGCAUGAAGGGGACCCCAACCGUAUUAACAUUCAACUACAAAAUUUAAAACAAAUU	Fly-Pep	1	FBtr0332373::Fly-Pep
FBtr0332373_shuf0	AAUAGGUAUCUAUUAAACACAUACUUAUCGAACAAAUAGAUUAUAGAACCACAGAGUCAUGUCUUGUAAACACAGUGAAG	Fly-Pep	0	FBtr0332373::Fly-Pep

End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Hugging Face upload pack (copies, not symlinks)

Upload this directory as-is. Paths match the GitHub repo.

Total ~2.9 GB.

generation/

File	Size	Role
`data/train.csv`	175 MB	generator train pairs
`data/test.csv`	25 MB	generator test pairs
`data/protein_embeddings.h5`	1.8 GB	protein embeddings
`checkpoints/generator.pt`	597 MB	released generator weights

generator.pt SHA256: 2b5dd15832c23444c07137dbc65863cacd38477c721a8525d661cc3f3b40d4cb

classifier/

File	Size	Role
`data/train_labeled.csv`	51 MB	classifier train table
`data/test_labeled.csv`	6.5 MB	classifier test table
`checkpoints/classifier.pt`	248 MB	released classifier weights

classifier.pt SHA256: 1d37ba04d2e6cc530b81cb01299c2197dd2e873fd5cbf78441301cab1b6359e7

Link into the code repo (pack can live anywhere)

bash /path/to/ProRiboGen/generation/scripts/link_local_data.sh /path/to/this/pack

Or copy:

cp -a generation/data/. /path/to/ProRiboGen/generation/data/
mkdir -p /path/to/ProRiboGen/generation/checkpoints \
         /path/to/ProRiboGen/classifier/data \
         /path/to/ProRiboGen/classifier/checkpoints
cp -a generation/checkpoints/. /path/to/ProRiboGen/generation/checkpoints/
cp -a classifier/data/. /path/to/ProRiboGen/classifier/data/
cp -a classifier/checkpoints/. /path/to/ProRiboGen/classifier/checkpoints/

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Total file size:

3.06 GB