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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
id: string
source: string
prompt: string
video_path: null
frame_paths: list<item: string>
  child 0, item: string
image_path: string
meta: struct<traj: list<item: double>, speed: list<item: double>, angle: list<item: double>, cmd: int64, z (... 35 chars omitted)
  child 0, traj: list<item: double>
      child 0, item: double
  child 1, speed: list<item: double>
      child 0, item: double
  child 2, angle: list<item: double>
      child 0, item: double
  child 3, cmd: int64
  child 4, z: double
  child 5, goal: list<item: double>
      child 0, item: double
include: null
tag: string
exclude: list<item: struct<class: string, count: int64>>
  child 0, item: struct<class: string, count: int64>
      child 0, class: string
      child 1, count: int64
to
{'tag': Value('string'), 'include': List(Json(decode=True)), 'prompt': Value('string'), 'exclude': List({'class': Value('string'), 'count': Value('int64')})}
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/json/json.py", line 343, 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 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
              id: string
              source: string
              prompt: string
              video_path: null
              frame_paths: list<item: string>
                child 0, item: string
              image_path: string
              meta: struct<traj: list<item: double>, speed: list<item: double>, angle: list<item: double>, cmd: int64, z (... 35 chars omitted)
                child 0, traj: list<item: double>
                    child 0, item: double
                child 1, speed: list<item: double>
                    child 0, item: double
                child 2, angle: list<item: double>
                    child 0, item: double
                child 3, cmd: int64
                child 4, z: double
                child 5, goal: list<item: double>
                    child 0, item: double
              include: null
              tag: string
              exclude: list<item: struct<class: string, count: int64>>
                child 0, item: struct<class: string, count: int64>
                    child 0, class: string
                    child 1, count: int64
              to
              {'tag': Value('string'), 'include': List(Json(decode=True)), 'prompt': Value('string'), 'exclude': List({'class': Value('string'), 'count': Value('int64')})}
              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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tag
string
include
list
prompt
string
exclude
list
color_attr
[ { "class": "bus", "count": 1, "color": "yellow" }, { "class": "handbag", "count": 1, "color": "orange" } ]
a photo of a yellow bus and an orange handbag
null
colors
[ { "class": "dining table", "count": 1, "color": "pink" } ]
a photo of a pink dining table
null
position
[ { "class": "cat", "count": 1 }, { "class": "bus", "count": 1, "position": [ "below", 0 ] } ]
a photo of a bus below a cat
null
position
[ { "class": "scissors", "count": 1 }, { "class": "skateboard", "count": 1, "position": [ "below", 0 ] } ]
a photo of a skateboard below a scissors
null
counting
[ { "class": "surfboard", "count": 4 } ]
a photo of four surfboards
[ { "class": "surfboard", "count": 5 } ]
position
[ { "class": "elephant", "count": 1 }, { "class": "cell phone", "count": 1, "position": [ "right of", 0 ] } ]
a photo of a cell phone right of an elephant
null
position
[ { "class": "apple", "count": 1 }, { "class": "car", "count": 1, "position": [ "above", 0 ] } ]
a photo of a car above an apple
null
colors
[ { "class": "tennis racket", "count": 1, "color": "red" } ]
a photo of a red tennis racket
null
counting
[ { "class": "baseball bat", "count": 4 } ]
a photo of four baseball bats
[ { "class": "baseball bat", "count": 5 } ]
position
[ { "class": "motorcycle", "count": 1 }, { "class": "snowboard", "count": 1, "position": [ "above", 0 ] } ]
a photo of a snowboard above a motorcycle
null
position
[ { "class": "kite", "count": 1 }, { "class": "truck", "count": 1, "position": [ "right of", 0 ] } ]
a photo of a truck right of a kite
null
color_attr
[ { "class": "cat", "count": 1, "color": "black" }, { "class": "cell phone", "count": 1, "color": "red" } ]
a photo of a black cat and a red cell phone
null
counting
[ { "class": "sheep", "count": 4 } ]
a photo of four sheeps
[ { "class": "sheep", "count": 5 } ]
counting
[ { "class": "surfboard", "count": 2 } ]
a photo of two surfboards
[ { "class": "surfboard", "count": 3 } ]
counting
[ { "class": "toothbrush", "count": 4 } ]
a photo of four toothbrushs
[ { "class": "toothbrush", "count": 5 } ]
color_attr
[ { "class": "wine glass", "count": 1, "color": "blue" }, { "class": "cell phone", "count": 1, "color": "green" } ]
a photo of a blue wine glass and a green cell phone
null
counting
[ { "class": "cup", "count": 4 } ]
a photo of four cups
[ { "class": "cup", "count": 5 } ]
position
[ { "class": "tv", "count": 1 }, { "class": "bus", "count": 1, "position": [ "below", 0 ] } ]
a photo of a bus below a tv
null
position
[ { "class": "book", "count": 1 }, { "class": "bus", "count": 1, "position": [ "below", 0 ] } ]
a photo of a bus below a book
null
position
[ { "class": "fork", "count": 1 }, { "class": "skateboard", "count": 1, "position": [ "above", 0 ] } ]
a photo of a skateboard above a fork
null
position
[ { "class": "spoon", "count": 1 }, { "class": "baseball bat", "count": 1, "position": [ "below", 0 ] } ]
a photo of a baseball bat below a spoon
null
position
[ { "class": "snowboard", "count": 1 }, { "class": "zebra", "count": 1, "position": [ "left of", 0 ] } ]
a photo of a zebra left of a snowboard
null
position
[ { "class": "umbrella", "count": 1 }, { "class": "cat", "count": 1, "position": [ "left of", 0 ] } ]
a photo of a cat left of an umbrella
null
position
[ { "class": "baseball bat", "count": 1 }, { "class": "apple", "count": 1, "position": [ "above", 0 ] } ]
a photo of an apple above a baseball bat
null
position
[ { "class": "dining table", "count": 1 }, { "class": "banana", "count": 1, "position": [ "right of", 0 ] } ]
a photo of a banana right of a dining table
null
counting
[ { "class": "bottle", "count": 4 } ]
a photo of four bottles
[ { "class": "bottle", "count": 5 } ]
two_object
[ { "class": "carrot", "count": 1 }, { "class": "book", "count": 1 } ]
a photo of a carrot and a book
null
position
[ { "class": "airplane", "count": 1 }, { "class": "computer keyboard", "count": 1, "position": [ "below", 0 ] } ]
a photo of a computer keyboard below an airplane
null
counting
[ { "class": "car", "count": 4 } ]
a photo of four cars
[ { "class": "car", "count": 5 } ]
colors
[ { "class": "potted plant", "count": 1, "color": "orange" } ]
a photo of an orange potted plant
null
position
[ { "class": "fork", "count": 1 }, { "class": "sink", "count": 1, "position": [ "left of", 0 ] } ]
a photo of a sink left of a fork
null
counting
[ { "class": "skis", "count": 3 } ]
a photo of three skises
[ { "class": "skis", "count": 4 } ]
counting
[ { "class": "sink", "count": 2 } ]
a photo of two sinks
[ { "class": "sink", "count": 3 } ]
position
[ { "class": "cat", "count": 1 }, { "class": "sheep", "count": 1, "position": [ "below", 0 ] } ]
a photo of a sheep below a cat
null
position
[ { "class": "cat", "count": 1 }, { "class": "book", "count": 1, "position": [ "left of", 0 ] } ]
a photo of a book left of a cat
null
counting
[ { "class": "surfboard", "count": 4 } ]
a photo of four surfboards
[ { "class": "surfboard", "count": 5 } ]
color_attr
[ { "class": "tennis racket", "count": 1, "color": "purple" }, { "class": "cow", "count": 1, "color": "pink" } ]
a photo of a purple tennis racket and a pink cow
null
color_attr
[ { "class": "train", "count": 1, "color": "red" }, { "class": "wine glass", "count": 1, "color": "green" } ]
a photo of a red train and a green wine glass
null
color_attr
[ { "class": "fire hydrant", "count": 1, "color": "yellow" }, { "class": "traffic light", "count": 1, "color": "orange" } ]
a photo of a yellow fire hydrant and an orange traffic light
null
position
[ { "class": "giraffe", "count": 1 }, { "class": "bench", "count": 1, "position": [ "left of", 0 ] } ]
a photo of a bench left of a giraffe
null
color_attr
[ { "class": "giraffe", "count": 1, "color": "white" }, { "class": "apple", "count": 1, "color": "blue" } ]
a photo of a white giraffe and a blue apple
null
position
[ { "class": "backpack", "count": 1 }, { "class": "train", "count": 1, "position": [ "left of", 0 ] } ]
a photo of a train left of a backpack
null
position
[ { "class": "airplane", "count": 1 }, { "class": "sandwich", "count": 1, "position": [ "left of", 0 ] } ]
a photo of a sandwich left of an airplane
null
position
[ { "class": "person", "count": 1 }, { "class": "refrigerator", "count": 1, "position": [ "below", 0 ] } ]
a photo of a refrigerator below a person
null
counting
[ { "class": "scissors", "count": 4 } ]
a photo of four scissorses
[ { "class": "scissors", "count": 5 } ]
counting
[ { "class": "bicycle", "count": 4 } ]
a photo of four bicycles
[ { "class": "bicycle", "count": 5 } ]
position
[ { "class": "apple", "count": 1 }, { "class": "bench", "count": 1, "position": [ "above", 0 ] } ]
a photo of a bench above an apple
null
position
[ { "class": "zebra", "count": 1 }, { "class": "bicycle", "count": 1, "position": [ "below", 0 ] } ]
a photo of a bicycle below a zebra
null
position
[ { "class": "cake", "count": 1 }, { "class": "cow", "count": 1, "position": [ "right of", 0 ] } ]
a photo of a cow right of a cake
null
color_attr
[ { "class": "traffic light", "count": 1, "color": "brown" }, { "class": "backpack", "count": 1, "color": "purple" } ]
a photo of a brown traffic light and a purple backpack
null
position
[ { "class": "chair", "count": 1 }, { "class": "bear", "count": 1, "position": [ "above", 0 ] } ]
a photo of a bear above a chair
null
position
[ { "class": "stop sign", "count": 1 }, { "class": "traffic light", "count": 1, "position": [ "above", 0 ] } ]
a photo of a traffic light above a stop sign
null
position
[ { "class": "hair drier", "count": 1 }, { "class": "pizza", "count": 1, "position": [ "above", 0 ] } ]
a photo of a pizza above a hair drier
null
counting
[ { "class": "skis", "count": 3 } ]
a photo of three skises
[ { "class": "skis", "count": 4 } ]
counting
[ { "class": "traffic light", "count": 3 } ]
a photo of three traffic lights
[ { "class": "traffic light", "count": 4 } ]
position
[ { "class": "computer mouse", "count": 1 }, { "class": "kite", "count": 1, "position": [ "left of", 0 ] } ]
a photo of a kite left of a computer mouse
null
position
[ { "class": "stop sign", "count": 1 }, { "class": "skis", "count": 1, "position": [ "left of", 0 ] } ]
a photo of a skis left of a stop sign
null
position
[ { "class": "bowl", "count": 1 }, { "class": "microwave", "count": 1, "position": [ "above", 0 ] } ]
a photo of a microwave above a bowl
null
position
[ { "class": "stop sign", "count": 1 }, { "class": "banana", "count": 1, "position": [ "below", 0 ] } ]
a photo of a banana below a stop sign
null
two_object
[ { "class": "umbrella", "count": 1 }, { "class": "airplane", "count": 1 } ]
a photo of an umbrella and an airplane
null
position
[ { "class": "orange", "count": 1 }, { "class": "skis", "count": 1, "position": [ "right of", 0 ] } ]
a photo of a skis right of an orange
null
counting
[ { "class": "kite", "count": 2 } ]
a photo of two kites
[ { "class": "kite", "count": 3 } ]
counting
[ { "class": "airplane", "count": 4 } ]
a photo of four airplanes
[ { "class": "airplane", "count": 5 } ]
position
[ { "class": "skis", "count": 1 }, { "class": "backpack", "count": 1, "position": [ "below", 0 ] } ]
a photo of a backpack below a skis
null
two_object
[ { "class": "baseball glove", "count": 1 }, { "class": "fire hydrant", "count": 1 } ]
a photo of a baseball glove and a fire hydrant
null
counting
[ { "class": "orange", "count": 4 } ]
a photo of four oranges
[ { "class": "orange", "count": 5 } ]
counting
[ { "class": "cow", "count": 4 } ]
a photo of four cows
[ { "class": "cow", "count": 5 } ]
position
[ { "class": "dining table", "count": 1 }, { "class": "carrot", "count": 1, "position": [ "below", 0 ] } ]
a photo of a carrot below a dining table
null
position
[ { "class": "sheep", "count": 1 }, { "class": "couch", "count": 1, "position": [ "below", 0 ] } ]
a photo of a couch below a sheep
null
position
[ { "class": "toothbrush", "count": 1 }, { "class": "cup", "count": 1, "position": [ "above", 0 ] } ]
a photo of a cup above a toothbrush
null
counting
[ { "class": "spoon", "count": 3 } ]
a photo of three spoons
[ { "class": "spoon", "count": 4 } ]
counting
[ { "class": "stop sign", "count": 3 } ]
a photo of three stop signs
[ { "class": "stop sign", "count": 4 } ]
counting
[ { "class": "teddy bear", "count": 3 } ]
a photo of three teddy bears
[ { "class": "teddy bear", "count": 4 } ]
position
[ { "class": "bottle", "count": 1 }, { "class": "dog", "count": 1, "position": [ "right of", 0 ] } ]
a photo of a dog right of a bottle
null
counting
[ { "class": "airplane", "count": 3 } ]
a photo of three airplanes
[ { "class": "airplane", "count": 4 } ]
colors
[ { "class": "microwave", "count": 1, "color": "yellow" } ]
a photo of a yellow microwave
null
counting
[ { "class": "toilet", "count": 3 } ]
a photo of three toilets
[ { "class": "toilet", "count": 4 } ]
position
[ { "class": "bench", "count": 1 }, { "class": "cup", "count": 1, "position": [ "above", 0 ] } ]
a photo of a cup above a bench
null
counting
[ { "class": "toaster", "count": 2 } ]
a photo of two toasters
[ { "class": "toaster", "count": 3 } ]
counting
[ { "class": "cake", "count": 2 } ]
a photo of two cakes
[ { "class": "cake", "count": 3 } ]
position
[ { "class": "book", "count": 1 }, { "class": "hair drier", "count": 1, "position": [ "right of", 0 ] } ]
a photo of a hair drier right of a book
null
counting
[ { "class": "suitcase", "count": 2 } ]
a photo of two suitcases
[ { "class": "suitcase", "count": 3 } ]
counting
[ { "class": "fire hydrant", "count": 4 } ]
a photo of four fire hydrants
[ { "class": "fire hydrant", "count": 5 } ]
position
[ { "class": "bed", "count": 1 }, { "class": "car", "count": 1, "position": [ "above", 0 ] } ]
a photo of a car above a bed
null
position
[ { "class": "hot dog", "count": 1 }, { "class": "computer keyboard", "count": 1, "position": [ "above", 0 ] } ]
a photo of a computer keyboard above a hot dog
null
two_object
[ { "class": "parking meter", "count": 1 }, { "class": "toilet", "count": 1 } ]
a photo of a parking meter and a toilet
null
position
[ { "class": "zebra", "count": 1 }, { "class": "computer keyboard", "count": 1, "position": [ "above", 0 ] } ]
a photo of a computer keyboard above a zebra
null
position
[ { "class": "zebra", "count": 1 }, { "class": "car", "count": 1, "position": [ "below", 0 ] } ]
a photo of a car below a zebra
null
position
[ { "class": "bowl", "count": 1 }, { "class": "handbag", "count": 1, "position": [ "below", 0 ] } ]
a photo of a handbag below a bowl
null
color_attr
[ { "class": "skis", "count": 1, "color": "black" }, { "class": "traffic light", "count": 1, "color": "brown" } ]
a photo of a black skis and a brown traffic light
null
color_attr
[ { "class": "hair drier", "count": 1, "color": "white" }, { "class": "skateboard", "count": 1, "color": "pink" } ]
a photo of a white hair drier and a pink skateboard
null
two_object
[ { "class": "bicycle", "count": 1 }, { "class": "skis", "count": 1 } ]
a photo of a bicycle and a skis
null
counting
[ { "class": "horse", "count": 2 } ]
a photo of two horses
[ { "class": "horse", "count": 3 } ]
colors
[ { "class": "wine glass", "count": 1, "color": "black" } ]
a photo of a black wine glass
null
two_object
[ { "class": "baseball glove", "count": 1 }, { "class": "pizza", "count": 1 } ]
a photo of a baseball glove and a pizza
null
position
[ { "class": "bench", "count": 1 }, { "class": "fire hydrant", "count": 1, "position": [ "right of", 0 ] } ]
a photo of a fire hydrant right of a bench
null
position
[ { "class": "airplane", "count": 1 }, { "class": "bicycle", "count": 1, "position": [ "above", 0 ] } ]
a photo of a bicycle above an airplane
null
two_object
[ { "class": "apple", "count": 1 }, { "class": "book", "count": 1 } ]
a photo of an apple and a book
null
color_attr
[ { "class": "traffic light", "count": 1, "color": "white" }, { "class": "spoon", "count": 1, "color": "pink" } ]
a photo of a white traffic light and a pink spoon
null
counting
[ { "class": "bottle", "count": 2 } ]
a photo of two bottles
[ { "class": "bottle", "count": 3 } ]
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