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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 ({'strand', 'start', 'gene_type', 'gene_id', 'end', 'tss', 'symbol'}) and 3 missing columns ({'pos', 'probe', 'island_context'}).
This happened while the csv dataset builder was generating data using
hf://datasets/TerryLi710/lung-methylation-silencing-data/lung-methylation-silencing/input/genes.tsv (at revision 6ba7419bdc40e343b920e99f2e6e81a900d840dd), ['hf://datasets/TerryLi710/lung-methylation-silencing-data@6ba7419bdc40e343b920e99f2e6e81a900d840dd/lung-methylation-silencing/input/cpg_annotation.tsv', 'hf://datasets/TerryLi710/lung-methylation-silencing-data@6ba7419bdc40e343b920e99f2e6e81a900d840dd/lung-methylation-silencing/input/genes.tsv', 'hf://datasets/TerryLi710/lung-methylation-silencing-data@6ba7419bdc40e343b920e99f2e6e81a900d840dd/lung-methylation-silencing/input/samples.tsv']
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
gene_id: string
symbol: string
gene_type: string
chrom: string
start: int64
end: int64
strand: string
tss: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1160
to
{'probe': Value('string'), 'chrom': Value('string'), 'pos': Value('int64'), 'island_context': 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 ({'strand', 'start', 'gene_type', 'gene_id', 'end', 'tss', 'symbol'}) and 3 missing columns ({'pos', 'probe', 'island_context'}).
This happened while the csv dataset builder was generating data using
hf://datasets/TerryLi710/lung-methylation-silencing-data/lung-methylation-silencing/input/genes.tsv (at revision 6ba7419bdc40e343b920e99f2e6e81a900d840dd), ['hf://datasets/TerryLi710/lung-methylation-silencing-data@6ba7419bdc40e343b920e99f2e6e81a900d840dd/lung-methylation-silencing/input/cpg_annotation.tsv', 'hf://datasets/TerryLi710/lung-methylation-silencing-data@6ba7419bdc40e343b920e99f2e6e81a900d840dd/lung-methylation-silencing/input/genes.tsv', 'hf://datasets/TerryLi710/lung-methylation-silencing-data@6ba7419bdc40e343b920e99f2e6e81a900d840dd/lung-methylation-silencing/input/samples.tsv']
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.
probe string | chrom string | pos int64 | island_context string |
|---|---|---|---|
cg00000292 | chr16 | 28,878,778 | shore |
cg00000321 | chr8 | 41,310,282 | shore |
cg00000540 | chr1 | 28,136,152 | open_sea |
cg00000622 | chr15 | 22,838,619 | island |
cg00000714 | chr19 | 54,191,826 | shore |
cg00000734 | chr3 | 129,183,533 | island |
cg00000769 | chr12 | 123,601,929 | island |
cg00001245 | chr3 | 15,065,202 | island |
cg00001446 | chr1 | 43,365,369 | shore |
cg00001582 | chr10 | 79,068,944 | island |
cg00001687 | chr16 | 89,695,252 | open_sea |
cg00001755 | chr17 | 50,869,428 | shore |
cg00001793 | chr12 | 11,752,455 | open_sea |
cg00001814 | chr2 | 31,298,093 | open_sea |
cg00001854 | chr16 | 46,974,579 | shore |
cg00001997 | chr11 | 108,116,184 | open_sea |
cg00002028 | chr1 | 20,633,516 | island |
cg00002080 | chr21 | 29,018,095 | shore |
cg00002116 | chr17 | 81,703,379 | island |
cg00002236 | chr18 | 70,205,824 | island |
cg00002398 | chr5 | 157,520,629 | open_sea |
cg00002406 | chr16 | 30,355,113 | island |
cg00002464 | chr8 | 119,416,177 | island |
cg00002473 | chr2 | 218,124,152 | open_sea |
cg00002490 | chr4 | 2,262,782 | island |
cg00002559 | chr19 | 34,428,753 | island |
cg00002591 | chr3 | 52,836,526 | open_sea |
cg00002593 | chr1 | 1,333,412 | island |
cg00002660 | chr12 | 56,189,825 | island |
cg00002837 | chr1 | 44,047,685 | open_sea |
cg00002907 | chr10 | 22,540,188 | open_sea |
cg00003091 | chr4 | 1,713,276 | shore |
cg00003173 | chr3 | 14,125,249 | island |
cg00003202 | chr1 | 151,347,035 | island |
cg00003287 | chr1 | 201,377,020 | open_sea |
cg00003345 | chr1 | 10,756,441 | open_sea |
cg00003407 | chr17 | 44,066,801 | shore |
cg00003513 | chr1 | 10,697,378 | shore |
cg00003555 | chr7 | 143,288,358 | island |
cg00003578 | chr1 | 12,540,502 | island |
cg00003784 | chr17 | 64,506,953 | island |
cg00003929 | chr5 | 67,189,004 | open_sea |
cg00003944 | chr18 | 80,036,249 | shore |
cg00003994 | chr7 | 15,686,236 | open_sea |
cg00004055 | chr16 | 66,552,841 | shore |
cg00004072 | chr19 | 39,407,374 | island |
cg00004082 | chr4 | 10,018,735 | shore |
cg00004089 | chr17 | 76,682,753 | open_sea |
cg00004207 | chr2 | 38,750,158 | shore |
cg00004608 | chr6 | 133,951,324 | shore |
cg00004723 | chr19 | 19,444,597 | open_sea |
cg00004818 | chr4 | 177,442,991 | shore |
cg00004883 | chr16 | 75,114,561 | island |
cg00004939 | chr14 | 68,794,943 | island |
cg00004979 | chr12 | 111,447,661 | open_sea |
cg00004996 | chr8 | 17,414,025 | shore |
cg00005010 | chr16 | 56,657,936 | island |
cg00005040 | chr6 | 127,118,060 | shore |
cg00005077 | chr10 | 45,672,787 | island |
cg00005083 | chr6 | 46,687,805 | island |
cg00005112 | chr16 | 69,924,936 | open_sea |
cg00005297 | chr4 | 3,463,639 | island |
cg00005306 | chr16 | 30,698,244 | island |
cg00005325 | chr1 | 201,715,838 | open_sea |
cg00005354 | chr8 | 27,856,209 | open_sea |
cg00005423 | chr7 | 150,801,991 | shore |
cg00005461 | chr3 | 46,089,987 | open_sea |
cg00005543 | chr6 | 169,751,535 | island |
cg00005597 | chr14 | 69,636,213 | open_sea |
cg00005734 | chr7 | 39,622,448 | shore |
cg00005893 | chr6 | 158,087,510 | shore |
cg00006032 | chr14 | 66,507,720 | island |
cg00006122 | chr12 | 52,069,531 | shore |
cg00006198 | chr1 | 154,503,829 | shore |
cg00006414 | chr7 | 149,125,744 | shore |
cg00006884 | chr7 | 23,597,410 | island |
cg00006899 | chr14 | 103,016,683 | open_sea |
cg00006948 | chr4 | 1,767,161 | island |
cg00007076 | chr8 | 66,430,364 | shore |
cg00007221 | chr1 | 43,533,348 | shore |
cg00007226 | chr14 | 105,315,028 | island |
cg00007266 | chr17 | 21,296,455 | open_sea |
cg00007269 | chr19 | 2,945,107 | island |
cg00007300 | chr14 | 24,052,224 | island |
cg00007540 | chr14 | 103,142,927 | shelf |
cg00007898 | chr1 | 205,211,498 | island |
cg00007932 | chr13 | 46,597,841 | open_sea |
cg00007981 | chr11 | 94,129,427 | island |
cg00007987 | chr19 | 55,645,063 | island |
cg00008033 | chr19 | 51,926,726 | open_sea |
cg00008254 | chr1 | 12,616,740 | shore |
cg00008364 | chr17 | 29,825,841 | open_sea |
cg00008369 | chr22 | 41,239,788 | shore |
cg00008387 | chr16 | 50,025,099 | island |
cg00008665 | chr3 | 43,105,287 | shore |
cg00008671 | chr10 | 84,328,204 | shore |
cg00008713 | chr18 | 11,980,953 | island |
cg00008795 | chr16 | 50,668,201 | open_sea |
cg00008956 | chr2 | 108,718,669 | shore |
cg00008971 | chr1 | 45,501,252 | shore |
lung-methylation-silencing: agent input data
Development copy of the agent-visible input of the Terminal-Bench Science task lung-methylation-silencing, hosted
here while the task is under review. Before merge it is mirrored to harborframework/terminal-bench-science-lfs under
the same prefix, and this copy is then deleted or made private.
Contents. lung-methylation-silencing/input/: methylation beta values, gene expression, sample table, probe and
gene annotation, and a chromatin-state map (6 files, 127 MB). The task image checks every file against
environment/data_checksums.sha256 in the task repository. No answers or grading data are stored here.
Source and terms. Derived from public data, with synthetic events added. Sources, citations and the full build
are documented in the task's README and authoring/ folder in the Terminal-Bench Science repository.
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