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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
d_shared: int64
sensor_dims: struct<bloomz-560m--d0-250_L6--edfe77b7ac: int64, bloomz-560m--d0-500_L12--fbb450d24b: int64, bloomz (... 1338 chars omitted)
child 0, bloomz-560m--d0-250_L6--edfe77b7ac: int64
child 1, bloomz-560m--d0-500_L12--fbb450d24b: int64
child 2, bloomz-560m--d0-800_L19--49bd7e77ff: int64
child 3, dialogpt-medium--d0-250_L6--71af14573d: int64
child 4, dialogpt-medium--d0-500_L12--fe73eb8ba4: int64
child 5, dialogpt-medium--d0-800_L19--cb2777c28f: int64
child 6, granite33-2b--d0-250_L10--e937e61f2c: int64
child 7, granite33-2b--d0-500_L20--dba0325344: int64
child 8, granite33-2b--d0-800_L32--e9299109c2: int64
child 9, lfm2-1p2b--d0-250_L4--32c1f9488a: int64
child 10, lfm2-1p2b--d0-500_L8--327b5ddb5e: int64
child 11, lfm2-1p2b--d0-800_L12--f5e552466a: int64
child 12, llama32-3b--d0-250_L7--39b9ce8d1a: int64
child 13, llama32-3b--d0-500_L14--ff2f0f64a6: int64
child 14, llama32-3b--d0-800_L22--7a0a6c1bc8: int64
child 15, mamba-2p8b--d0-250_L16--c581391921: int64
child 16, mamba-2p8b--d0-500_L32--a4b0f52b45: int64
child 17, mamba-2p8b--d0-800_L51--1d7158d6c2: int64
child 18, mistral7b--d0-250_L8--b1627628cc: int64
child 19, mistral7b--d0-500_L16--da6e77e350: int64
child 20, mistral7b--d0-800_L25--cb184e6fe4: int64
child 21, olmo2-1b--d0-250_L4--5bf930ae4b: int64
child 22, olmo2-1b--d0-500_L8--9a29b42398: int64
child 23, olmo2-1b--d0-800_L12--5d99a6f65c: int64
child 24, phi35-mini--d0-250_L8--fa99e24925: int64
...
on: string
child 1, donor_tag: string
child 2, num_rows: int64
child 3, path: string
child 4, sha256: struct<activations.safetensors: string, metadata.jsonl: string>
child 0, activations.safetensors: string
child 1, metadata.jsonl: string
validation_split: string
position: string
heldout_capture: struct<capture_generation: string, donor_tag: string, num_rows: int64, path: string, sha256: struct< (... 57 chars omitted)
child 0, capture_generation: string
child 1, donor_tag: string
child 2, num_rows: int64
child 3, path: string
child 4, sha256: struct<activations.safetensors: string, metadata.jsonl: string>
child 0, activations.safetensors: string
child 1, metadata.jsonl: string
label_fields_read: list<item: null>
child 0, item: null
schema_version: string
label_free: bool
calibration: string
output_intent_adapters_sha256: string
fit_split: string
metadata_fields_read: list<item: string>
child 0, item: string
layer_calibrations: list<item: struct<anchor_layer: string, heldout_layer: string, sensor_key: string, train_fve: double (... 69 chars omitted)
child 0, item: struct<anchor_layer: string, heldout_layer: string, sensor_key: string, train_fve: double, train_row (... 57 chars omitted)
child 0, anchor_layer: string
child 1, heldout_layer: string
child 2, sensor_key: string
child 3, train_fve: double
child 4, train_rows: int64
child 5, validation_fve: double
child 6, validation_rows: int64
to
{'anchor_capture': {'capture_generation': Value('string'), 'donor_tag': Value('string'), 'num_rows': Value('int64'), 'path': Value('string'), 'sha256': {'activations.safetensors': Value('string'), 'metadata.jsonl': Value('string')}}, 'calibration': Value('string'), 'fit_split': Value('string'), 'heldout_capture': {'capture_generation': Value('string'), 'donor_tag': Value('string'), 'num_rows': Value('int64'), 'path': Value('string'), 'sha256': {'activations.safetensors': Value('string'), 'metadata.jsonl': Value('string')}}, 'label_fields_read': List(Value('null')), 'label_free': Value('bool'), 'layer_calibrations': List({'anchor_layer': Value('string'), 'heldout_layer': Value('string'), 'sensor_key': Value('string'), 'train_fve': Value('float64'), 'train_rows': Value('int64'), 'validation_fve': Value('float64'), 'validation_rows': Value('int64')}), 'metadata_fields_read': List(Value('string')), 'output_intent_adapters_sha256': Value('string'), 'position': Value('string'), 'schema_version': Value('string'), 'source_checkpoint': Value('string'), 'source_intent_adapters_sha256': Value('string'), 'validation_split': Value('string')}
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
d_shared: int64
sensor_dims: struct<bloomz-560m--d0-250_L6--edfe77b7ac: int64, bloomz-560m--d0-500_L12--fbb450d24b: int64, bloomz (... 1338 chars omitted)
child 0, bloomz-560m--d0-250_L6--edfe77b7ac: int64
child 1, bloomz-560m--d0-500_L12--fbb450d24b: int64
child 2, bloomz-560m--d0-800_L19--49bd7e77ff: int64
child 3, dialogpt-medium--d0-250_L6--71af14573d: int64
child 4, dialogpt-medium--d0-500_L12--fe73eb8ba4: int64
child 5, dialogpt-medium--d0-800_L19--cb2777c28f: int64
child 6, granite33-2b--d0-250_L10--e937e61f2c: int64
child 7, granite33-2b--d0-500_L20--dba0325344: int64
child 8, granite33-2b--d0-800_L32--e9299109c2: int64
child 9, lfm2-1p2b--d0-250_L4--32c1f9488a: int64
child 10, lfm2-1p2b--d0-500_L8--327b5ddb5e: int64
child 11, lfm2-1p2b--d0-800_L12--f5e552466a: int64
child 12, llama32-3b--d0-250_L7--39b9ce8d1a: int64
child 13, llama32-3b--d0-500_L14--ff2f0f64a6: int64
child 14, llama32-3b--d0-800_L22--7a0a6c1bc8: int64
child 15, mamba-2p8b--d0-250_L16--c581391921: int64
child 16, mamba-2p8b--d0-500_L32--a4b0f52b45: int64
child 17, mamba-2p8b--d0-800_L51--1d7158d6c2: int64
child 18, mistral7b--d0-250_L8--b1627628cc: int64
child 19, mistral7b--d0-500_L16--da6e77e350: int64
child 20, mistral7b--d0-800_L25--cb184e6fe4: int64
child 21, olmo2-1b--d0-250_L4--5bf930ae4b: int64
child 22, olmo2-1b--d0-500_L8--9a29b42398: int64
child 23, olmo2-1b--d0-800_L12--5d99a6f65c: int64
child 24, phi35-mini--d0-250_L8--fa99e24925: int64
...
on: string
child 1, donor_tag: string
child 2, num_rows: int64
child 3, path: string
child 4, sha256: struct<activations.safetensors: string, metadata.jsonl: string>
child 0, activations.safetensors: string
child 1, metadata.jsonl: string
validation_split: string
position: string
heldout_capture: struct<capture_generation: string, donor_tag: string, num_rows: int64, path: string, sha256: struct< (... 57 chars omitted)
child 0, capture_generation: string
child 1, donor_tag: string
child 2, num_rows: int64
child 3, path: string
child 4, sha256: struct<activations.safetensors: string, metadata.jsonl: string>
child 0, activations.safetensors: string
child 1, metadata.jsonl: string
label_fields_read: list<item: null>
child 0, item: null
schema_version: string
label_free: bool
calibration: string
output_intent_adapters_sha256: string
fit_split: string
metadata_fields_read: list<item: string>
child 0, item: string
layer_calibrations: list<item: struct<anchor_layer: string, heldout_layer: string, sensor_key: string, train_fve: double (... 69 chars omitted)
child 0, item: struct<anchor_layer: string, heldout_layer: string, sensor_key: string, train_fve: double, train_row (... 57 chars omitted)
child 0, anchor_layer: string
child 1, heldout_layer: string
child 2, sensor_key: string
child 3, train_fve: double
child 4, train_rows: int64
child 5, validation_fve: double
child 6, validation_rows: int64
to
{'anchor_capture': {'capture_generation': Value('string'), 'donor_tag': Value('string'), 'num_rows': Value('int64'), 'path': Value('string'), 'sha256': {'activations.safetensors': Value('string'), 'metadata.jsonl': Value('string')}}, 'calibration': Value('string'), 'fit_split': Value('string'), 'heldout_capture': {'capture_generation': Value('string'), 'donor_tag': Value('string'), 'num_rows': Value('int64'), 'path': Value('string'), 'sha256': {'activations.safetensors': Value('string'), 'metadata.jsonl': Value('string')}}, 'label_fields_read': List(Value('null')), 'label_free': Value('bool'), 'layer_calibrations': List({'anchor_layer': Value('string'), 'heldout_layer': Value('string'), 'sensor_key': Value('string'), 'train_fve': Value('float64'), 'train_rows': Value('int64'), 'validation_fve': Value('float64'), 'validation_rows': Value('int64')}), 'metadata_fields_read': List(Value('string')), 'output_intent_adapters_sha256': Value('string'), 'position': Value('string'), 'schema_version': Value('string'), 'source_checkpoint': Value('string'), 'source_intent_adapters_sha256': Value('string'), 'validation_split': Value('string')}
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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