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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'eligible_taps', 'journeys'}) and 6 missing columns ({'route_id', 'mode', 'event_id', 'uncapped_fare_cents', 'tapped_at', 'journey_seq'}).

This happened while the csv dataset builder was generating data using

hf://datasets/SOTAagi2030/Spring-Transit-Fare-Close-253/reports/rider-daily.csv (at revision d92e1595d7f0dae17d07ca030082094075f23e26), ['hf://datasets/SOTAagi2030/Spring-Transit-Fare-Close-253@d92e1595d7f0dae17d07ca030082094075f23e26/data/tap-reconciliation.csv', 'hf://datasets/SOTAagi2030/Spring-Transit-Fare-Close-253@d92e1595d7f0dae17d07ca030082094075f23e26/reports/rider-daily.csv', 'hf://datasets/SOTAagi2030/Spring-Transit-Fare-Close-253@d92e1595d7f0dae17d07ca030082094075f23e26/reports/tap-audit.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 784, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, in _write_table
                  pa_table = table_cast(pa_table, self._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
              rider_id: string
              service_date: string
              eligible_taps: int64
              journeys: int64
              charged_cents: int64
              payable_cents: int64
              adjustment_cents: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1128
              to
              {'event_id': Value('string'), 'rider_id': Value('string'), 'service_date': Value('string'), 'tapped_at': Value('string'), 'mode': Value('string'), 'route_id': Value('string'), 'journey_seq': Value('int64'), 'charged_cents': Value('int64'), 'uncapped_fare_cents': Value('int64'), 'payable_cents': Value('int64'), 'adjustment_cents': Value('int64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({'eligible_taps', 'journeys'}) and 6 missing columns ({'route_id', 'mode', 'event_id', 'uncapped_fare_cents', 'tapped_at', 'journey_seq'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/SOTAagi2030/Spring-Transit-Fare-Close-253/reports/rider-daily.csv (at revision d92e1595d7f0dae17d07ca030082094075f23e26), ['hf://datasets/SOTAagi2030/Spring-Transit-Fare-Close-253@d92e1595d7f0dae17d07ca030082094075f23e26/data/tap-reconciliation.csv', 'hf://datasets/SOTAagi2030/Spring-Transit-Fare-Close-253@d92e1595d7f0dae17d07ca030082094075f23e26/reports/rider-daily.csv', 'hf://datasets/SOTAagi2030/Spring-Transit-Fare-Close-253@d92e1595d7f0dae17d07ca030082094075f23e26/reports/tap-audit.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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event_id
string
rider_id
string
service_date
string
tapped_at
string
mode
string
route_id
string
journey_seq
int64
charged_cents
int64
uncapped_fare_cents
int64
payable_cents
int64
adjustment_cents
int64
T09
R-17
2026-04-12
2026-04-12T08:00:00Z
bus
B7
1
275
275
275
0
T02
R-17
2026-04-12
2026-04-12T08:45:00Z
rail
L2
1
425
0
0
425
T01
R-03
2026-04-12
2026-04-12T09:00:00Z
rail
L4
1
425
425
425
0
T15
R-03
2026-04-12
2026-04-12T09:00:00Z
bus
B2
1
275
0
0
275
T14
R-17
2026-04-12
2026-04-12T10:10:00Z
bus
B9
2
275
275
275
0
T11
R-17
2026-04-12
2026-04-12T11:00:00Z
ferry
F1
2
500
0
0
500
T05
R-17
2026-04-12
2026-04-12T18:30:00Z
rail
L2
3
425
425
150
275
T07
R-03
2026-04-13
2026-04-13T09:00:00Z
ferry
F2
1
500
500
500
0
T03
R-03
2026-04-13
2026-04-13T10:20:00Z
bus
B2
2
275
275
200
75
T04
R-55
2026-04-20
2026-04-20T07:00:00Z
bus
E3
1
200
275
275
-75
T08
R-42
2026-04-29
2026-04-29T23:20:00Z
bus
N1
1
300
275
275
25
T12
R-42
2026-04-30
2026-04-30T00:10:00Z
bus
N1
1
275
275
275
0
null
R-03
2026-04-12
null
null
null
null
700
null
425
275
null
R-17
2026-04-12
null
null
null
null
1,900
null
700
1,200
null
R-03
2026-04-13
null
null
null
null
775
null
700
75
null
R-55
2026-04-20
null
null
null
null
200
null
275
-75
null
R-42
2026-04-29
null
null
null
null
300
null
275
25
null
R-42
2026-04-30
null
null
null
null
275
null
275
0
T09
R-17
null
null
null
null
null
null
null
null
null
T02
R-17
null
null
null
null
null
null
null
null
null
T14
R-17
null
null
null
null
null
null
null
null
null
T11
R-17
null
null
null
null
null
null
null
null
null
T05
R-17
null
null
null
null
null
null
null
null
null
T01
R-03
null
null
null
null
null
null
null
null
null
T15
R-03
null
null
null
null
null
null
null
null
null
T07
R-03
null
null
null
null
null
null
null
null
null
T03
R-03
null
null
null
null
null
null
null
null
null
T08
R-42
null
null
null
null
null
null
null
null
null
T12
R-42
null
null
null
null
null
null
null
null
null
T04
R-55
null
null
null
null
null
null
null
null
null
T06
R-99
null
null
null
null
null
null
null
null
null
T10
R-88
null
null
null
null
null
null
null
null
null
T13
R-55
null
null
null
null
null
null
null
null
null
T16
R-55
null
null
null
null
null
null
null
null
null
T17
R-55
null
null
null
null
null
null
null
null
null
T18
R-55
null
null
null
null
null
null
null
null
null

Spring transit fare close

Release: 2026Q1-CLOSE
Cutoff: 2026-04-30
Currency: USD

Measure Value
Physical taps 18
Eligible taps 12
Rejected taps 6
Rider-days 6
Journeys 9
Charged cents 4150
Payable cents 2650
Net adjustment cents 1500
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