AI Challanges
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8 items • Updated • 42
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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
board: string
systems: struct<hub_1x2_U4: struct<lattice: list<item: int64>, U_over_t: double, t: double, n_sites: int64, n (... 1020 chars omitted)
child 0, hub_1x2_U4: struct<lattice: list<item: int64>, U_over_t: double, t: double, n_sites: int64, n_qubits: int64, bou (... 45 chars omitted)
child 0, lattice: list<item: int64>
child 0, item: int64
child 1, U_over_t: double
child 2, t: double
child 3, n_sites: int64
child 4, n_qubits: int64
child 5, boundary: string
child 6, filling: string
child 7, task: string
child 1, hub_1x3_U4: struct<lattice: list<item: int64>, U_over_t: double, t: double, n_sites: int64, n_qubits: int64, bou (... 45 chars omitted)
child 0, lattice: list<item: int64>
child 0, item: int64
child 1, U_over_t: double
child 2, t: double
child 3, n_sites: int64
child 4, n_qubits: int64
child 5, boundary: string
child 6, filling: string
child 7, task: string
child 2, hub_2x2_U4: struct<lattice: list<item: int64>, U_over_t: double, t: double, n_sites: int64, n_qubits: int64, bou (... 45 chars omitted)
child 0, lattice: list<item: int64>
child 0, item: int64
child 1, U_over_t: double
child 2, t: double
child 3, n_sites: int64
child 4, n_qubits: int64
child 5, boundary: string
child 6, filling: string
child 7, task: string
child 3, hub_2x2_U8: struct<lattice: list<item: int64>, U_over
...
child 0, lattice: list<item: int64>
child 0, item: int64
child 1, U_over_t: double
child 2, t: double
child 3, n_sites: int64
child 4, n_qubits: int64
child 5, boundary: string
child 6, filling: string
child 7, task: string
child 5, hub_2x3_U4: struct<lattice: list<item: int64>, U_over_t: double, t: double, n_sites: int64, n_qubits: int64, bou (... 45 chars omitted)
child 0, lattice: list<item: int64>
child 0, item: int64
child 1, U_over_t: double
child 2, t: double
child 3, n_sites: int64
child 4, n_qubits: int64
child 5, boundary: string
child 6, filling: string
child 7, task: string
child 6, hub_2x2_U12: struct<lattice: list<item: int64>, U_over_t: double, t: double, n_sites: int64, n_qubits: int64, bou (... 45 chars omitted)
child 0, lattice: list<item: int64>
child 0, item: int64
child 1, U_over_t: double
child 2, t: double
child 3, n_sites: int64
child 4, n_qubits: int64
child 5, boundary: string
child 6, filling: string
child 7, task: string
metric: string
submit_format: struct<predictions: struct<<system_id>: string>, hf_user: string, method: string>
child 0, predictions: struct<<system_id>: string>
child 0, <system_id>: string
child 1, hf_user: string
child 2, method: string
files: struct<detectors.npy: string, dem.txt: string>
child 0, detectors.npy: string
child 1, dem.txt: string
to
{'board': Value('string'), 'files': {'detectors.npy': Value('string'), 'dem.txt': Value('string')}, 'metric': Value('string'), 'submit_format': {'predictions': {'shot_<i:05d>': Value('string')}, 'hf_user': Value('string'), 'method': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 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
board: string
systems: struct<hub_1x2_U4: struct<lattice: list<item: int64>, U_over_t: double, t: double, n_sites: int64, n (... 1020 chars omitted)
child 0, hub_1x2_U4: struct<lattice: list<item: int64>, U_over_t: double, t: double, n_sites: int64, n_qubits: int64, bou (... 45 chars omitted)
child 0, lattice: list<item: int64>
child 0, item: int64
child 1, U_over_t: double
child 2, t: double
child 3, n_sites: int64
child 4, n_qubits: int64
child 5, boundary: string
child 6, filling: string
child 7, task: string
child 1, hub_1x3_U4: struct<lattice: list<item: int64>, U_over_t: double, t: double, n_sites: int64, n_qubits: int64, bou (... 45 chars omitted)
child 0, lattice: list<item: int64>
child 0, item: int64
child 1, U_over_t: double
child 2, t: double
child 3, n_sites: int64
child 4, n_qubits: int64
child 5, boundary: string
child 6, filling: string
child 7, task: string
child 2, hub_2x2_U4: struct<lattice: list<item: int64>, U_over_t: double, t: double, n_sites: int64, n_qubits: int64, bou (... 45 chars omitted)
child 0, lattice: list<item: int64>
child 0, item: int64
child 1, U_over_t: double
child 2, t: double
child 3, n_sites: int64
child 4, n_qubits: int64
child 5, boundary: string
child 6, filling: string
child 7, task: string
child 3, hub_2x2_U8: struct<lattice: list<item: int64>, U_over
...
child 0, lattice: list<item: int64>
child 0, item: int64
child 1, U_over_t: double
child 2, t: double
child 3, n_sites: int64
child 4, n_qubits: int64
child 5, boundary: string
child 6, filling: string
child 7, task: string
child 5, hub_2x3_U4: struct<lattice: list<item: int64>, U_over_t: double, t: double, n_sites: int64, n_qubits: int64, bou (... 45 chars omitted)
child 0, lattice: list<item: int64>
child 0, item: int64
child 1, U_over_t: double
child 2, t: double
child 3, n_sites: int64
child 4, n_qubits: int64
child 5, boundary: string
child 6, filling: string
child 7, task: string
child 6, hub_2x2_U12: struct<lattice: list<item: int64>, U_over_t: double, t: double, n_sites: int64, n_qubits: int64, bou (... 45 chars omitted)
child 0, lattice: list<item: int64>
child 0, item: int64
child 1, U_over_t: double
child 2, t: double
child 3, n_sites: int64
child 4, n_qubits: int64
child 5, boundary: string
child 6, filling: string
child 7, task: string
metric: string
submit_format: struct<predictions: struct<<system_id>: string>, hf_user: string, method: string>
child 0, predictions: struct<<system_id>: string>
child 0, <system_id>: string
child 1, hf_user: string
child 2, method: string
files: struct<detectors.npy: string, dem.txt: string>
child 0, detectors.npy: string
child 1, dem.txt: string
to
{'board': Value('string'), 'files': {'detectors.npy': Value('string'), 'dem.txt': Value('string')}, 'metric': Value('string'), 'submit_format': {'predictions': {'shot_<i:05d>': Value('string')}, 'hf_user': Value('string'), 'method': 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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