Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
alt: string
chrom: string
gene: string
label: string
label_group: string
pos: int64
ref: string
region: null
variant_id: string
continuous_score: double
counts: struct<n_input: int64, n_rows: int64, n_skipped: int64, n_variants: int64>
child 0, n_input: int64
child 1, n_rows: int64
child 2, n_skipped: int64
child 3, n_variants: int64
provenance: struct<encoder: struct<d_state: int64, dtype: string, model_id: string, normalize: bool, pool_family (... 68 chars omitted)
child 0, encoder: struct<d_state: int64, dtype: string, model_id: string, normalize: bool, pool_family: string, revisi (... 31 chars omitted)
child 0, d_state: int64
child 1, dtype: string
child 2, model_id: string
child 3, normalize: bool
child 4, pool_family: string
child 5, revision: string
child 6, state_layer: int64
child 1, git_commit: string
config: struct<batch_size: int64, dtype: string, limit: null, pool_radii: list<item: int64>, reference_fasta (... 79 chars omitted)
child 0, batch_size: int64
child 1, dtype: string
child 2, limit: null
child 3, pool_radii: list<item: int64>
child 0, item: int64
child 4, reference_fasta: string
child 5, resume: bool
child 6, state_layer: int64
child 7, variants: string
child 8, window_bp: int64
per_pool_radius: list<item: struct<cos_ref_alt: struct<mean: double, median: double, std: double>, n_by_label_group: (... 253 chars omitted)
child 0, item: struct<cos_ref_alt: struct<mean: double, median: double, std: double>, n_by_label_group: struct<brca (... 241 chars omitted)
child 0, cos_ref_alt: struct<mean: double, median: double, std: double>
child 0, mean: double
child 1, median: double
child 2, std: double
child 1, n_by_label_group: struct<brca2_sge: int64, clinvar_benign: int64, clinvar_path: int64>
child 0, brca2_sge: int64
child 1, clinvar_benign: int64
child 2, clinvar_path: int64
child 2, n_variants: int64
child 3, norm_s_ref: struct<mean: double, median: double, std: double>
child 0, mean: double
child 1, median: double
child 2, std: double
child 4, pool_radius: int64
child 5, pool_type: string
child 6, rel_delta: struct<mean: double, median: double, std: double>
child 0, mean: double
child 1, median: double
child 2, std: double
schema_version: string
generated_by: string
skips: struct<by_code: struct<>, records: list<item: null>>
child 0, by_code: struct<>
child 1, records: list<item: null>
child 0, item: null
to
{'config': {'batch_size': Value('int64'), 'dtype': Value('string'), 'limit': Value('null'), 'pool_radii': List(Value('int64')), 'reference_fasta': Value('string'), 'resume': Value('bool'), 'state_layer': Value('int64'), 'variants': Value('string'), 'window_bp': Value('int64')}, 'counts': {'n_input': Value('int64'), 'n_rows': Value('int64'), 'n_skipped': Value('int64'), 'n_variants': Value('int64')}, 'generated_by': Value('string'), 'per_pool_radius': List({'cos_ref_alt': {'mean': Value('float64'), 'median': Value('float64'), 'std': Value('float64')}, 'n_by_label_group': {'brca2_sge': Value('int64'), 'clinvar_benign': Value('int64'), 'clinvar_path': Value('int64')}, 'n_variants': Value('int64'), 'norm_s_ref': {'mean': Value('float64'), 'median': Value('float64'), 'std': Value('float64')}, 'pool_radius': Value('int64'), 'pool_type': Value('string'), 'rel_delta': {'mean': Value('float64'), 'median': Value('float64'), 'std': Value('float64')}}), 'provenance': {'encoder': {'d_state': Value('int64'), 'dtype': Value('string'), 'model_id': Value('string'), 'normalize': Value('bool'), 'pool_family': Value('string'), 'revision': Value('string'), 'state_layer': Value('int64')}, 'git_commit': Value('string')}, 'schema_version': Value('string'), 'skips': {'by_code': {}, 'records': List(Value('null'))}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
alt: string
chrom: string
gene: string
label: string
label_group: string
pos: int64
ref: string
region: null
variant_id: string
continuous_score: double
counts: struct<n_input: int64, n_rows: int64, n_skipped: int64, n_variants: int64>
child 0, n_input: int64
child 1, n_rows: int64
child 2, n_skipped: int64
child 3, n_variants: int64
provenance: struct<encoder: struct<d_state: int64, dtype: string, model_id: string, normalize: bool, pool_family (... 68 chars omitted)
child 0, encoder: struct<d_state: int64, dtype: string, model_id: string, normalize: bool, pool_family: string, revisi (... 31 chars omitted)
child 0, d_state: int64
child 1, dtype: string
child 2, model_id: string
child 3, normalize: bool
child 4, pool_family: string
child 5, revision: string
child 6, state_layer: int64
child 1, git_commit: string
config: struct<batch_size: int64, dtype: string, limit: null, pool_radii: list<item: int64>, reference_fasta (... 79 chars omitted)
child 0, batch_size: int64
child 1, dtype: string
child 2, limit: null
child 3, pool_radii: list<item: int64>
child 0, item: int64
child 4, reference_fasta: string
child 5, resume: bool
child 6, state_layer: int64
child 7, variants: string
child 8, window_bp: int64
per_pool_radius: list<item: struct<cos_ref_alt: struct<mean: double, median: double, std: double>, n_by_label_group: (... 253 chars omitted)
child 0, item: struct<cos_ref_alt: struct<mean: double, median: double, std: double>, n_by_label_group: struct<brca (... 241 chars omitted)
child 0, cos_ref_alt: struct<mean: double, median: double, std: double>
child 0, mean: double
child 1, median: double
child 2, std: double
child 1, n_by_label_group: struct<brca2_sge: int64, clinvar_benign: int64, clinvar_path: int64>
child 0, brca2_sge: int64
child 1, clinvar_benign: int64
child 2, clinvar_path: int64
child 2, n_variants: int64
child 3, norm_s_ref: struct<mean: double, median: double, std: double>
child 0, mean: double
child 1, median: double
child 2, std: double
child 4, pool_radius: int64
child 5, pool_type: string
child 6, rel_delta: struct<mean: double, median: double, std: double>
child 0, mean: double
child 1, median: double
child 2, std: double
schema_version: string
generated_by: string
skips: struct<by_code: struct<>, records: list<item: null>>
child 0, by_code: struct<>
child 1, records: list<item: null>
child 0, item: null
to
{'config': {'batch_size': Value('int64'), 'dtype': Value('string'), 'limit': Value('null'), 'pool_radii': List(Value('int64')), 'reference_fasta': Value('string'), 'resume': Value('bool'), 'state_layer': Value('int64'), 'variants': Value('string'), 'window_bp': Value('int64')}, 'counts': {'n_input': Value('int64'), 'n_rows': Value('int64'), 'n_skipped': Value('int64'), 'n_variants': Value('int64')}, 'generated_by': Value('string'), 'per_pool_radius': List({'cos_ref_alt': {'mean': Value('float64'), 'median': Value('float64'), 'std': Value('float64')}, 'n_by_label_group': {'brca2_sge': Value('int64'), 'clinvar_benign': Value('int64'), 'clinvar_path': Value('int64')}, 'n_variants': Value('int64'), 'norm_s_ref': {'mean': Value('float64'), 'median': Value('float64'), 'std': Value('float64')}, 'pool_radius': Value('int64'), 'pool_type': Value('string'), 'rel_delta': {'mean': Value('float64'), 'median': Value('float64'), 'std': Value('float64')}}), 'provenance': {'encoder': {'d_state': Value('int64'), 'dtype': Value('string'), 'model_id': Value('string'), 'normalize': Value('bool'), 'pool_family': Value('string'), 'revision': Value('string'), 'state_layer': Value('int64')}, 'git_commit': Value('string')}, 'schema_version': Value('string'), 'skips': {'by_code': {}, 'records': List(Value('null'))}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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