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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: TypeError
Message: Couldn't cast array of type
struct<2N0IDShsTyc:NVDA:30: struct<score: double, verdict: string>>
to
{'qS3KT0XlM98:SPY:30': {'score': Value('float64'), 'verdict': Value('string')}, 'qS3KT0XlM98:TSLA:30': {'score': Value('float64'), 'verdict': Value('string')}, 'qS3KT0XlM98:PLTR:30': {'score': Value('float64'), 'verdict': Value('string')}, 'ieiugsjJweo:PLTR:30': {'score': Value('float64'), 'verdict': Value('string')}, 'ieiugsjJweo:QQQ:30': {'score': Value('float64'), 'verdict': Value('string')}, 'YzWgYZnG704:TSLA:30': {'score': Value('float64'), 'verdict': Value('string')}, 'YzWgYZnG704:PLTR:30': {'score': Value('float64'), 'verdict': Value('string')}, 'YzWgYZnG704:SPY:30': {'score': Value('float64'), 'verdict': Value('string')}, 'ayOwNwrCeHI:PLTR:30': {'score': Value('float64'), 'verdict': Value('string')}, 'uz6VBMDgMuc:AAPL:30': {'score': Value('float64'), 'verdict': Value('string')}, 'c1o78DTjMHM:TSLA:30': {'score': Value('float64'), 'verdict': Value('string')}, 'Tn4NNubggk0:TSLA:30': {'score': Value('float64'), 'verdict': Value('string')}, 's8KnOn_D6WE:SPY:30': {'score': Value('float64'), 'verdict': Value('string')}, 'BIhe0FXMl7s:SPY:30': {'score': Value('float64'), 'verdict': Value('string')}, '3EVwv-BudSg:TSLA:30': {'score': Value('float64'), 'verdict': Value('string')}, 'pBEFZG1Fep8:TSLA:30': {'score': Value('float64'), 'verdict': Value('string')}, 'yBgwdjj7UsA:SPY:30': {'score': Value('float64'), 'verdict': Value('string')}, 'kptUMuq7seA:SPY:30': {'score': Value('float64'), 'verdict': Value('string')}, 'bacaNM917i4:SPY:30': {'score': Value('float64'), 'verdict': Value
...
218wXCJRQ:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, 'k-5vEZ5qfnc:MCD:30': {'score': Value('float64'), 'verdict': Value('string')}, 'k-5vEZ5qfnc:SBUX:30': {'score': Value('float64'), 'verdict': Value('string')}, 'k-5vEZ5qfnc:DIS:30': {'score': Value('float64'), 'verdict': Value('string')}, 'k-5vEZ5qfnc:NFLX:30': {'score': Value('float64'), 'verdict': Value('string')}, 'bgEkzA-16yc:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, 'IeDJ9lQ-arU:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, '611PUt5dN2Q:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, 'RGDjmCsXbUw:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, 'ieiugsjJweo:ETH:30': {'score': Value('float64'), 'verdict': Value('string')}, 'nklCjJwP4fU:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, 'wLum4hE__aM:SOL:30': {'score': Value('float64'), 'verdict': Value('string')}, 'LhK2Rx9V7Bs:BYD:30': {'score': Value('float64'), 'verdict': Value('string')}, 'kp2Rs60SwTw:NANO:30': {'score': Value('float64'), 'verdict': Value('string')}, 'yCTl72Be2s4:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, 'Z7Df9A3BjHo:QS:30': {'score': Value('float64'), 'verdict': Value('string')}, 'Z7Df9A3BjHo:TSLA:30': {'score': Value('float64'), 'verdict': Value('string')}, 'E8eVSaldPc8:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, 'F_nLIRfglMI:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}}
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 478, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1852, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2149, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<2N0IDShsTyc:NVDA:30: struct<score: double, verdict: string>>
to
{'qS3KT0XlM98:SPY:30': {'score': Value('float64'), 'verdict': Value('string')}, 'qS3KT0XlM98:TSLA:30': {'score': Value('float64'), 'verdict': Value('string')}, 'qS3KT0XlM98:PLTR:30': {'score': Value('float64'), 'verdict': Value('string')}, 'ieiugsjJweo:PLTR:30': {'score': Value('float64'), 'verdict': Value('string')}, 'ieiugsjJweo:QQQ:30': {'score': Value('float64'), 'verdict': Value('string')}, 'YzWgYZnG704:TSLA:30': {'score': Value('float64'), 'verdict': Value('string')}, 'YzWgYZnG704:PLTR:30': {'score': Value('float64'), 'verdict': Value('string')}, 'YzWgYZnG704:SPY:30': {'score': Value('float64'), 'verdict': Value('string')}, 'ayOwNwrCeHI:PLTR:30': {'score': Value('float64'), 'verdict': Value('string')}, 'uz6VBMDgMuc:AAPL:30': {'score': Value('float64'), 'verdict': Value('string')}, 'c1o78DTjMHM:TSLA:30': {'score': Value('float64'), 'verdict': Value('string')}, 'Tn4NNubggk0:TSLA:30': {'score': Value('float64'), 'verdict': Value('string')}, 's8KnOn_D6WE:SPY:30': {'score': Value('float64'), 'verdict': Value('string')}, 'BIhe0FXMl7s:SPY:30': {'score': Value('float64'), 'verdict': Value('string')}, '3EVwv-BudSg:TSLA:30': {'score': Value('float64'), 'verdict': Value('string')}, 'pBEFZG1Fep8:TSLA:30': {'score': Value('float64'), 'verdict': Value('string')}, 'yBgwdjj7UsA:SPY:30': {'score': Value('float64'), 'verdict': Value('string')}, 'kptUMuq7seA:SPY:30': {'score': Value('float64'), 'verdict': Value('string')}, 'bacaNM917i4:SPY:30': {'score': Value('float64'), 'verdict': Value
...
218wXCJRQ:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, 'k-5vEZ5qfnc:MCD:30': {'score': Value('float64'), 'verdict': Value('string')}, 'k-5vEZ5qfnc:SBUX:30': {'score': Value('float64'), 'verdict': Value('string')}, 'k-5vEZ5qfnc:DIS:30': {'score': Value('float64'), 'verdict': Value('string')}, 'k-5vEZ5qfnc:NFLX:30': {'score': Value('float64'), 'verdict': Value('string')}, 'bgEkzA-16yc:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, 'IeDJ9lQ-arU:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, '611PUt5dN2Q:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, 'RGDjmCsXbUw:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, 'ieiugsjJweo:ETH:30': {'score': Value('float64'), 'verdict': Value('string')}, 'nklCjJwP4fU:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, 'wLum4hE__aM:SOL:30': {'score': Value('float64'), 'verdict': Value('string')}, 'LhK2Rx9V7Bs:BYD:30': {'score': Value('float64'), 'verdict': Value('string')}, 'kp2Rs60SwTw:NANO:30': {'score': Value('float64'), 'verdict': Value('string')}, 'yCTl72Be2s4:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, 'Z7Df9A3BjHo:QS:30': {'score': Value('float64'), 'verdict': Value('string')}, 'Z7Df9A3BjHo:TSLA:30': {'score': Value('float64'), 'verdict': Value('string')}, 'E8eVSaldPc8:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}, 'F_nLIRfglMI:BTC:30': {'score': Value('float64'), 'verdict': Value('string')}}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.
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