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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
generated_at: timestamp[s]
search: struct<origins: struct<LBA: string, MAN: string, NCL: string, MME: string, HUY: string, EMA: string, (... 227 chars omitted)
child 0, origins: struct<LBA: string, MAN: string, NCL: string, MME: string, HUY: string, EMA: string, BHX: string, LP (... 75 chars omitted)
child 0, LBA: string
child 1, MAN: string
child 2, NCL: string
child 3, MME: string
child 4, HUY: string
child 5, EMA: string
child 6, BHX: string
child 7, LPL: string
child 8, LHR: string
child 9, LGW: string
child 10, STN: string
child 11, LTN: string
child 12, LCY: string
child 1, destinations: struct<HAN: string, SGN: string>
child 0, HAN: string
child 1, SGN: string
child 2, dates: list<item: timestamp[s]>
child 0, item: timestamp[s]
child 3, adults: int64
child 4, checked_bags: int64
child 5, currency: string
sources: struct<momondo: struct<status: string, count: int64, seconds: int64, error: null, carried: int64>, s (... 374 chars omitted)
child 0, momondo: struct<status: string, count: int64, seconds: int64, error: null, carried: int64>
child 0, status: string
child 1, count: int64
child 2, seconds: int64
child 3, error: null
child 4, carried: int64
child 1, split_tickets: struct<status: string, count: int64, seconds: int64, error: null, carried: int64>
child 0, status: string
child 1, count: int64
child 2, seconds
...
46, Turkish Airlines: int64
child 47, Lufthansa: int64
child 48, Air India: int64
child 49, China Airlines: int64
child 50, SWISS: int64
child 51, Juneyao Airlines: int64
child 52, Egyptair: int64
child 53, Condor: int64
child 54, China Southern: int64
child 55, World Tour Store: int64
child 56, Ethiopian Air: int64
child 57, LOT: int64
child 58, Gate1.co.uk: int64
child 7, legs: list<item: struct<from: string, to: string, price: double, url: string, site: string>>
child 0, item: struct<from: string, to: string, price: double, url: string, site: string>
child 0, from: string
child 1, to: string
child 2, price: double
child 3, url: string
child 4, site: string
points: list<item: struct<scraped_on: timestamp[s], origin: string, destination: string, date: timestamp[s], (... 36 chars omitted)
child 0, item: struct<scraped_on: timestamp[s], origin: string, destination: string, date: timestamp[s], source: st (... 24 chars omitted)
child 0, scraped_on: timestamp[s]
child 1, origin: string
child 2, destination: string
child 3, date: timestamp[s]
child 4, source: string
child 5, min_price: double
to
{'points': List({'scraped_on': Value('timestamp[s]'), 'origin': Value('string'), 'destination': Value('string'), 'date': Value('timestamp[s]'), 'source': Value('string'), 'min_price': Value('float64')})}
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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
generated_at: timestamp[s]
search: struct<origins: struct<LBA: string, MAN: string, NCL: string, MME: string, HUY: string, EMA: string, (... 227 chars omitted)
child 0, origins: struct<LBA: string, MAN: string, NCL: string, MME: string, HUY: string, EMA: string, BHX: string, LP (... 75 chars omitted)
child 0, LBA: string
child 1, MAN: string
child 2, NCL: string
child 3, MME: string
child 4, HUY: string
child 5, EMA: string
child 6, BHX: string
child 7, LPL: string
child 8, LHR: string
child 9, LGW: string
child 10, STN: string
child 11, LTN: string
child 12, LCY: string
child 1, destinations: struct<HAN: string, SGN: string>
child 0, HAN: string
child 1, SGN: string
child 2, dates: list<item: timestamp[s]>
child 0, item: timestamp[s]
child 3, adults: int64
child 4, checked_bags: int64
child 5, currency: string
sources: struct<momondo: struct<status: string, count: int64, seconds: int64, error: null, carried: int64>, s (... 374 chars omitted)
child 0, momondo: struct<status: string, count: int64, seconds: int64, error: null, carried: int64>
child 0, status: string
child 1, count: int64
child 2, seconds: int64
child 3, error: null
child 4, carried: int64
child 1, split_tickets: struct<status: string, count: int64, seconds: int64, error: null, carried: int64>
child 0, status: string
child 1, count: int64
child 2, seconds
...
46, Turkish Airlines: int64
child 47, Lufthansa: int64
child 48, Air India: int64
child 49, China Airlines: int64
child 50, SWISS: int64
child 51, Juneyao Airlines: int64
child 52, Egyptair: int64
child 53, Condor: int64
child 54, China Southern: int64
child 55, World Tour Store: int64
child 56, Ethiopian Air: int64
child 57, LOT: int64
child 58, Gate1.co.uk: int64
child 7, legs: list<item: struct<from: string, to: string, price: double, url: string, site: string>>
child 0, item: struct<from: string, to: string, price: double, url: string, site: string>
child 0, from: string
child 1, to: string
child 2, price: double
child 3, url: string
child 4, site: string
points: list<item: struct<scraped_on: timestamp[s], origin: string, destination: string, date: timestamp[s], (... 36 chars omitted)
child 0, item: struct<scraped_on: timestamp[s], origin: string, destination: string, date: timestamp[s], source: st (... 24 chars omitted)
child 0, scraped_on: timestamp[s]
child 1, origin: string
child 2, destination: string
child 3, date: timestamp[s]
child 4, source: string
child 5, min_price: double
to
{'points': List({'scraped_on': Value('timestamp[s]'), 'origin': Value('string'), 'destination': Value('string'), 'date': Value('timestamp[s]'), 'source': Value('string'), 'min_price': Value('float64')})}
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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