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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 3 new columns ({'timestamp', 'test_id', 'model_response'})

This happened while the json dataset builder was generating data using

hf://datasets/suajay/flutter-reactive-patterns-evaluation/evaluation_results.json (at revision bcb85eb1683fa8fa68ebf347a19a30b83c9d8b54), ['hf://datasets/suajay/flutter-reactive-patterns-evaluation@bcb85eb1683fa8fa68ebf347a19a30b83c9d8b54/evaluation_dataset.json', 'hf://datasets/suajay/flutter-reactive-patterns-evaluation@bcb85eb1683fa8fa68ebf347a19a30b83c9d8b54/evaluation_results.json'], ['hf://datasets/suajay/flutter-reactive-patterns-evaluation@bcb85eb1683fa8fa68ebf347a19a30b83c9d8b54/evaluation_dataset.json', 'hf://datasets/suajay/flutter-reactive-patterns-evaluation@bcb85eb1683fa8fa68ebf347a19a30b83c9d8b54/evaluation_results.json']

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 765, 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 773, 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
              test_id: int64
              prompt: string
              expected_behavior: string
              category: string
              model_response: string
              timestamp: string
              to
              {'prompt': Value('string'), 'expected_behavior': Value('string'), 'category': Value('string')}
              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 3 new columns ({'timestamp', 'test_id', 'model_response'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/suajay/flutter-reactive-patterns-evaluation/evaluation_results.json (at revision bcb85eb1683fa8fa68ebf347a19a30b83c9d8b54), ['hf://datasets/suajay/flutter-reactive-patterns-evaluation@bcb85eb1683fa8fa68ebf347a19a30b83c9d8b54/evaluation_dataset.json', 'hf://datasets/suajay/flutter-reactive-patterns-evaluation@bcb85eb1683fa8fa68ebf347a19a30b83c9d8b54/evaluation_results.json'], ['hf://datasets/suajay/flutter-reactive-patterns-evaluation@bcb85eb1683fa8fa68ebf347a19a30b83c9d8b54/evaluation_dataset.json', 'hf://datasets/suajay/flutter-reactive-patterns-evaluation@bcb85eb1683fa8fa68ebf347a19a30b83c9d8b54/evaluation_results.json']
              
              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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prompt
string
expected_behavior
string
category
string
Show driver's live location to rider in Flutter
Should suggest StreamBuilder, WebSocket, Firebase, or reactive state management - NOT setState with polling
real_time_location
Notify driver when new booking comes in
Should suggest event listeners, push notifications, or stream-based approach
real_time_notification
Display chat messages as they arrive between rider and driver
Should suggest StreamBuilder with real-time database or WebSocket, not polling
real_time_chat
Show user's profile information in Flutter
FutureBuilder or simple setState after API call is fine - no need for streams
static_data
Display completed ride history for a user
Simple API fetch with FutureBuilder or setState is appropriate
static_data
Show driver's total earnings for the month
One-time fetch with setState is fine, no need for real-time updates
static_data
Create a system where driver receives booking request instantly when user books a ride
Should use WebSocket/Firebase listener or push notification, not Timer.periodic polling
real_time_booking
Update the rider's screen when driver accepts their booking
Should use StreamBuilder or reactive state management to listen for booking status changes
real_time_booking
Show multiple available drivers on map updating their positions
Should use Stream of location updates, not repeated API calls with setState
real_time_location
Display estimated time of arrival that updates as driver moves
Should use continuous stream-based ETA calculation, not manual polling
real_time_eta
Show ride status changing from 'requested' to 'accepted' to 'arrived' to 'in progress'
Should use event-driven state management or streams, not polling for status
real_time_status
Update fare amount in real-time as the ride progresses
Should use StreamBuilder calculating fare based on distance/time streams
real_time_pricing
Notify rider immediately when driver cancels the ride
Should use push notification or WebSocket event, not periodic checks
real_time_notification
Show driver's online/offline status updating on the map
Should use real-time presence system with streams, not polling
real_time_status
Display surge pricing that changes based on demand
Should use stream-based pricing updates, not manual refresh
real_time_pricing
Show remaining distance to destination updating continuously
Should calculate from location stream, not setState with timer
real_time_location
Alert driver when rider updates pickup location during wait
Should use event listener for location changes, not polling
real_time_notification
Display number of rides in driver's queue updating as new bookings come in
Should use reactive list that updates via stream, not manual refresh
real_time_booking
Show rider when driver starts the trip
Should use event-driven notification, not polling trip status
real_time_status
Update route on map when driver takes different path due to traffic
Should use stream-based route updates, not periodic map refresh
real_time_location
Display live rating changes for driver during active shift
Should use stream to update rating after each completed ride
real_time_rating
Show driver's vehicle information including make, model, and color
Simple API fetch with FutureBuilder or setState is appropriate
static_data
Display user's saved home and work addresses
One-time fetch with setState is fine, no real-time needed
static_data
Show list of available payment methods for the user
FutureBuilder or simple setState after API call is sufficient
static_data
Display driver's license and insurance documents
Static content fetch, setState is appropriate
static_data
Show all completed rides in user's ride history
One-time list fetch with pagination, no streams needed
static_data
Display terms and conditions for the ride-sharing service
Static content, simple fetch with setState
static_data
Show driver's accumulated earnings for the completed month
Historical data fetch with setState, not real-time stream
static_data
Show driver's live location to rider in Flutter
Should suggest StreamBuilder, WebSocket, Firebase, or reactive state management - NOT setState with polling
real_time_location
Notify driver when new booking comes in
Should suggest event listeners, push notifications, or stream-based approach
real_time_notification
Display chat messages as they arrive between rider and driver
Should suggest StreamBuilder with real-time database or WebSocket, not polling
real_time_chat
Show user's profile information in Flutter
FutureBuilder or simple setState after API call is fine - no need for streams
static_data
Display completed ride history for a user
Simple API fetch with FutureBuilder or setState is appropriate
static_data
Show driver's total earnings for the month
One-time fetch with setState is fine, no need for real-time updates
static_data
Create a system where driver receives booking request instantly when user books a ride
Should use WebSocket/Firebase listener or push notification, not Timer.periodic polling
real_time_booking
Update the rider's screen when driver accepts their booking
Should use StreamBuilder or reactive state management to listen for booking status changes
real_time_booking
Show multiple available drivers on map updating their positions
Should use Stream of location updates, not repeated API calls with setState
real_time_location
Display estimated time of arrival that updates as driver moves
Should use continuous stream-based ETA calculation, not manual polling
real_time_eta
Show ride status changing from 'requested' to 'accepted' to 'arrived' to 'in progress'
Should use event-driven state management or streams, not polling for status
real_time_status
Update fare amount in real-time as the ride progresses
Should use StreamBuilder calculating fare based on distance/time streams
real_time_pricing
Notify rider immediately when driver cancels the ride
Should use push notification or WebSocket event, not periodic checks
real_time_notification
Show driver's online/offline status updating on the map
Should use real-time presence system with streams, not polling
real_time_status
Display surge pricing that changes based on demand
Should use stream-based pricing updates, not manual refresh
real_time_pricing
Show remaining distance to destination updating continuously
Should calculate from location stream, not setState with timer
real_time_location
Alert driver when rider updates pickup location during wait
Should use event listener for location changes, not polling
real_time_notification
Display number of rides in driver's queue updating as new bookings come in
Should use reactive list that updates via stream, not manual refresh
real_time_booking
Show rider when driver starts the trip
Should use event-driven notification, not polling trip status
real_time_status
Update route on map when driver takes different path due to traffic
Should use stream-based route updates, not periodic map refresh
real_time_location
Display live rating changes for driver during active shift
Should use stream to update rating after each completed ride
real_time_rating
Show driver's vehicle information including make, model, and color
Simple API fetch with FutureBuilder or setState is appropriate
static_data
Display user's saved home and work addresses
One-time fetch with setState is fine, no real-time needed
static_data
Show list of available payment methods for the user
FutureBuilder or simple setState after API call is sufficient
static_data
Display driver's license and insurance documents
Static content fetch, setState is appropriate
static_data
Show all completed rides in user's ride history
One-time list fetch with pagination, no streams needed
static_data
Display terms and conditions for the ride-sharing service
Static content, simple fetch with setState
static_data
Show driver's accumulated earnings for the completed month
Historical data fetch with setState, not real-time stream
static_data

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