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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
prompt: string
category: string
difficulty: string
n_constraints: int64
constraints: list<item: string>
  child 0, item: string
tokens: int64
text: string
-- schema metadata --
huggingface: '{"info": {"features": {"prompt": {"dtype": "string", "_type' + 352
to
{'prompt': Value('string'), 'category': Value('string'), 'concepts': List(Value('string')), 'tokens': Value('int64'), 'text': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/arrow/arrow.py", line 74, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/arrow/arrow.py", line 54, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              prompt: string
              category: string
              difficulty: string
              n_constraints: int64
              constraints: list<item: string>
                child 0, item: string
              tokens: int64
              text: string
              -- schema metadata --
              huggingface: '{"info": {"features": {"prompt": {"dtype": "string", "_type' + 352
              to
              {'prompt': Value('string'), 'category': Value('string'), 'concepts': List(Value('string')), 'tokens': Value('int64'), 'text': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              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 1683, 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 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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prompt string	category string	concepts list	tokens int64	text string
A small 1970s kitchen with avocado-green cabinets, a checkerboard floor, a round table set for two, and no windows anywhere on the walls.	negation	[ "interior", "kitchen", "1970s", "absence", "no windows" ]	31	A small 1970s kitchen with avocado-green cabinets, a checkerboard floor, a round table set for two, and no windows anywhere on the walls.
A medieval stone bridge over a narrow river at sunrise, with three pedestrians crossing and no horses, carts, or boats visible.	negation	[ "medieval", "bridge", "river", "absence", "no vehicles" ]	28	A medieval stone bridge over a narrow river at sunrise, with three pedestrians crossing and no horses, carts, or boats visible.
A modern subway platform with a yellow safety line, four waiting passengers, a route map on the wall, and no train in the station.	negation	[ "subway", "urban", "public transit", "absence", "no train" ]	32	A modern subway platform with a yellow safety line, four waiting passengers, a route map on the wall, and no train in the station.
A tidy child's bedroom with a bunk bed, a striped rug, six stuffed animals on shelves, and no toys on the floor.	negation	[ "bedroom", "child room", "interior", "absence", "clean floor" ]	29	A tidy child's bedroom with a bunk bed, a striped rug, six stuffed animals on shelves, and no toys on the floor.
A desert campsite at night with two tents, a small unlit fire pit, a telescope on a tripod, and no people present.	negation	[ "desert", "camping", "night", "absence", "no people" ]	29	A desert campsite at night with two tents, a small unlit fire pit, a telescope on a tripod, and no people present.
A Japanese tea room with tatami mats, one low table, a hanging scroll, a single teapot, and no chairs.	negation	[ "Japanese interior", "tea room", "tatami", "absence", "no chairs" ]	25	A Japanese tea room with tatami mats, one low table, a hanging scroll, a single teapot, and no chairs.
A snow-covered village street with colorful wooden houses, footprints in the snow, and no cars or bicycles parked anywhere.	negation	[ "winter", "village", "street", "absence", "no vehicles" ]	25	A snow-covered village street with colorful wooden houses, footprints in the snow, and no cars or bicycles parked anywhere.
A science classroom with a chalkboard showing a labeled water cycle diagram, twelve empty stools, glass beakers on benches, and no students.	negation	[ "classroom", "science", "education", "absence", "no students" ]	29	A science classroom with a chalkboard showing a labeled water cycle diagram, twelve empty stools, glass beakers on benches, and no students.
A Roman market stall displaying olives, bread, figs, and clay jars, attended by a vendor who is not wearing sandals.	negation	[ "ancient Rome", "market", "vendor", "constraint", "barefoot or shoes" ]	27	A Roman market stall displaying olives, bread, figs, and clay jars, attended by a vendor who is not wearing sandals.
A Victorian parlor with floral wallpaper, a fireplace, two armchairs, a gramophone, and no electric lamps or visible wires.	negation	[ "Victorian", "parlor", "historical", "absence", "no electricity" ]	25	A Victorian parlor with floral wallpaper, a fireplace, two armchairs, a gramophone, and no electric lamps or visible wires.
A quiet airport baggage claim with two rotating carousels, many suitcases on one carousel, and no travelers standing nearby.	negation	[ "airport", "baggage claim", "absence", "no people" ]	25	A quiet airport baggage claim with two rotating carousels, many suitcases on one carousel, and no travelers standing nearby.
A bakery display case filled with croissants, cupcakes, and baguettes, with price labels, but no cakes of any kind.	negation	[ "bakery", "food display", "absence", "no cake" ]	25	A bakery display case filled with croissants, cupcakes, and baguettes, with price labels, but no cakes of any kind.
A pirate captain standing on a wooden ship deck, holding a rolled map, wearing a long coat, and not wearing an eye patch.	negation	[ "pirate", "ship", "costume", "constraint", "no eye patch" ]	31	A pirate captain standing on a wooden ship deck, holding a rolled map, wearing a long coat, and not wearing an eye patch.
A greenhouse full of potted herbs in neat rows, a watering can on a bench, glass walls, and no flowers blooming.	negation	[ "greenhouse", "plants", "herbs", "absence", "no flowers" ]	28	A greenhouse full of potted herbs in neat rows, a watering can on a bench, glass walls, and no flowers blooming.
A city rooftop garden with tomato plants, solar panels, a bench, a water tank, and no satellite dishes.	negation	[ "rooftop", "garden", "city", "absence", "no satellite dishes" ]	24	A city rooftop garden with tomato plants, solar panels, a bench, a water tank, and no satellite dishes.
A school bus interior viewed from the aisle, with blue seats, backpacks on three seats, and no driver visible at the front.	negation	[ "bus interior", "school bus", "absence", "no driver" ]	29	A school bus interior viewed from the aisle, with blue seats, backpacks on three seats, and no driver visible at the front.
A Renaissance painter's studio with an easel, jars of pigment, a plaster bust, daylight from one window, and no finished paintings on the walls.	negation	[ "Renaissance", "artist studio", "historical", "absence", "no paintings" ]	32	A Renaissance painter's studio with an easel, jars of pigment, a plaster bust, daylight from one window, and no finished paintings on the walls.
A Korean street food stall at dusk with tteokbokki trays, skewers, paper cups, a red canopy, and no customers.	negation	[ "Korean street food", "market stall", "absence", "no customers" ]	25	A Korean street food stall at dusk with tteokbokki trays, skewers, paper cups, a red canopy, and no customers.
A library reading room with tall shelves, green desk lamps, open books on tables, and no clocks anywhere in the room.	negation	[ "library", "reading room", "absence", "no clocks" ]	28	A library reading room with tall shelves, green desk lamps, open books on tables, and no clocks anywhere in the room.
A fishing pier extending into a calm lake, with three fishing rods leaning on the rail, a tackle box, and no fish visible.	negation	[ "fishing pier", "lake", "absence", "no fish" ]	31	A fishing pier extending into a calm lake, with three fishing rods leaning on the rail, a tackle box, and no fish visible.
A space station corridor with white panels, warning stripes, a floating wrench, two portholes showing Earth, and no astronauts.	negation	[ "space station", "corridor", "sci-fi", "absence", "no astronauts" ]	25	A space station corridor with white panels, warning stripes, a floating wrench, two portholes showing Earth, and no astronauts.
A farmer's market vegetable stand with carrots, onions, lettuce, and peppers in wooden crates, and no fruit displayed.	negation	[ "farmers market", "vegetables", "absence", "no fruit" ]	24	A farmer's market vegetable stand with carrots, onions, lettuce, and peppers in wooden crates, and no fruit displayed.
A ballet rehearsal studio with mirrored walls, a piano, five pairs of ballet slippers lined up, and no dancers.	negation	[ "ballet studio", "rehearsal", "absence", "no dancers" ]	25	A ballet rehearsal studio with mirrored walls, a piano, five pairs of ballet slippers lined up, and no dancers.
A coastal lighthouse on a rocky cliff, white waves below, a red door, gulls in the sky, and no boats on the water.	negation	[ "lighthouse", "coast", "seascape", "absence", "no boats" ]	31	A coastal lighthouse on a rocky cliff, white waves below, a red door, gulls in the sky, and no boats on the water.
A busy-looking office cubicle area with monitors, keyboards, sticky notes, rolling chairs, and no people in any chair or aisle.	negation	[ "office", "cubicles", "workplace", "absence", "no people" ]	27	A busy-looking office cubicle area with monitors, keyboards, sticky notes, rolling chairs, and no people in any chair or aisle.
A royal banquet table in a castle hall with golden plates, goblets, candles, roasted vegetables, and no meat dishes.	negation	[ "castle", "banquet", "food", "absence", "no meat" ]	25	A royal banquet table in a castle hall with golden plates, goblets, candles, roasted vegetables, and no meat dishes.
A Moroccan courtyard with blue tile walls, a central fountain, potted palms, arched doorways, and no rugs on the floor.	negation	[ "Moroccan courtyard", "architecture", "absence", "no rugs" ]	27	A Moroccan courtyard with blue tile walls, a central fountain, potted palms, arched doorways, and no rugs on the floor.
A steampunk workshop with brass gears, pressure gauges, leather tool belts, a wooden workbench, and no digital screens.	negation	[ "steampunk", "workshop", "absence", "no screens" ]	24	A steampunk workshop with brass gears, pressure gauges, leather tool belts, a wooden workbench, and no digital screens.
A basketball court in an empty gym, with two hoops, polished wood floor, a scoreboard showing 00:00, and no ball.	negation	[ "gym", "basketball court", "absence", "no ball" ]	27	A basketball court in an empty gym, with two hoops, polished wood floor, a scoreboard showing 00:00, and no ball.
A rural train crossing with red signal lights, striped gates lowered, gravel road, pine trees, and no train visible on the tracks.	negation	[ "train crossing", "rural", "absence", "no train" ]	29	A rural train crossing with red signal lights, striped gates lowered, gravel road, pine trees, and no train visible on the tracks.
An underwater coral reef scene with orange coral, seaweed, three sea turtles, and no fish anywhere in the water.	negation	[ "underwater", "coral reef", "sea turtles", "absence", "no fish" ]	25	An underwater coral reef scene with orange coral, seaweed, three sea turtles, and no fish anywhere in the water.
A minimalist bathroom with white tile, a sink, a mirror, a shower curtain, folded towels, and no bathtub.	negation	[ "bathroom", "minimalist", "interior", "absence", "no bathtub" ]	24	A minimalist bathroom with white tile, a sink, a mirror, a shower curtain, folded towels, and no bathtub.
An empty two-lane desert road stretching toward red cliffs, with painted center lines and wooden power poles, but no cars, trucks, bicycles, or people visible.	negation	[ "landscape", "road", "desert", "no vehicles" ]	33	An empty two-lane desert road stretching toward red cliffs, with painted center lines and wooden power poles, but no cars, trucks, bicycles, or people visible.
A Victorian-era gentleman standing beside a wrought-iron park bench, wearing a dark coat and gloves, NOT wearing any hat, with a fountain behind him.	negation	[ "historical", "portrait", "park", "no hat" ]	32	A Victorian-era gentleman standing beside a wrought-iron park bench, wearing a dark coat and gloves, NOT wearing any hat, with a fountain behind him.
A modern classroom with twelve desks arranged in three rows, a chalkboard full of fractions, backpacks on chairs, and no students or teachers present.	negation	[ "school", "classroom", "counting", "empty room" ]	32	A modern classroom with twelve desks arranged in three rows, a chalkboard full of fractions, backpacks on chairs, and no students or teachers present.
A sushi counter with six plates of nigiri, chopsticks, soy sauce dishes, and a chef's knife on a wooden board, with no fish touching any other fish.	negation	[ "food", "sushi", "spatial separation", "constraint" ]	36	A sushi counter with six plates of nigiri, chopsticks, soy sauce dishes, and a chef's knife on a wooden board, with no fish touching any other fish.
A glass aquarium containing colorful gravel, three ceramic castles, and aquatic plants, but no fish, shrimp, snails, or other animals inside.	negation	[ "aquarium", "pets", "absence", "no animals" ]	28	A glass aquarium containing colorful gravel, three ceramic castles, and aquatic plants, but no fish, shrimp, snails, or other animals inside.
A laundromat with eight washing machines, a vending machine, folded towels on a bench, and no people or laundry baskets in view.	negation	[ "laundromat", "interior", "counting", "empty" ]	29	A laundromat with eight washing machines, a vending machine, folded towels on a bench, and no people or laundry baskets in view.
A botanical greenhouse aisle lined with potted ferns and orchids, misting pipes overhead, and no flowers colored red anywhere in the scene.	negation	[ "greenhouse", "plants", "color constraint", "no red flowers" ]	29	A botanical greenhouse aisle lined with potted ferns and orchids, misting pipes overhead, and no flowers colored red anywhere in the scene.
A pirate ship deck with coiled ropes, barrels, a wooden wheel, and a black flag, but no cannons and no visible weapons.	negation	[ "ship", "pirate", "deck", "no weapons" ]	29	A pirate ship deck with coiled ropes, barrels, a wooden wheel, and a black flag, but no cannons and no visible weapons.