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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 8 new columns ({'variants', 'typeName', 'subCategory', 'category', 'pipUrl', 'manualList', 'mainImageUrl', 'name'})
This happened while the json dataset builder was generating data using
hf://datasets/DavidZhang73/TDGVDatasets/iaw/train_v2.json (at revision 9f2032129e54fd02e581386fbc6356d966dd11f1)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: string
name: string
category: string
subCategory: string
typeName: string
pipUrl: string
mainImageUrl: string
variants: list<item: string>
child 0, item: string
manualList: list<item: struct<url: string>>
child 0, item: struct<url: string>
child 0, url: string
annotationList: list<item: struct<color: string, height: double, manual: int64, page: int64, step: int64, width: double, x: double, y: double>>
child 0, item: struct<color: string, height: double, manual: int64, page: int64, step: int64, width: double, x: double, y: double>
child 0, color: string
child 1, height: double
child 2, manual: int64
child 3, page: int64
child 4, step: int64
child 5, width: double
child 6, x: double
child 7, y: double
videoList: list<item: struct<annotation: list<item: struct<action: int64, end: double, start: double>>, duration: double, fps: int64, height: int64, is_fixed: string, is_indoor: string, people_count: string, person_view: string, title: string, url: string, width: int64>>
child 0, item: struct<annotation: list<item: struct<action: int64, end: double, start: double>>, duration: double, fps: int64, height: int64, is_fixed: string, is_indoor: string, people_count: string, person_view: string, title: string, url: string, width: int64>
child 0, annotation: list<item: struct<action: int64, end: double, start: double>>
child 0, item: struct<action: int64, end: double, start: double>
child 0, action: int64
child 1, end: double
child 2, start: double
child 1, duration: double
child 2, fps: int64
child 3, height: int64
child 4, is_fixed: string
child 5, is_indoor: string
child 6, people_count: string
child 7, person_view: string
child 8, title: string
child 9, url: string
child 10, width: int64
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1443
to
{'id': Value(dtype='string', id=None), 'annotationList': [{'sentence': Value(dtype='string', id=None), 'step': Value(dtype='int64', id=None)}], 'videoList': [{'annotation': [{'action': Value(dtype='int64', id=None), 'end': Value(dtype='float64', id=None), 'start': Value(dtype='float64', id=None)}], 'duration': Value(dtype='float64', id=None), 'url': Value(dtype='string', id=None)}]}
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 1412, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 988, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 8 new columns ({'variants', 'typeName', 'subCategory', 'category', 'pipUrl', 'manualList', 'mainImageUrl', 'name'})
This happened while the json dataset builder was generating data using
hf://datasets/DavidZhang73/TDGVDatasets/iaw/train_v2.json (at revision 9f2032129e54fd02e581386fbc6356d966dd11f1)
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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
id string | annotationList list | videoList list |
|---|---|---|
QOlSCBRmfWY | [
{
"sentence": "A young woman is seen standing in a room and leads into her dancing.",
"step": 0
},
{
"sentence": " The girl dances around the room while the camera captures her movements.",
"step": 1
},
{
"sentence": " She continues dancing around the room and ends by laying on the floor... | [
{
"annotation": [
{
"action": 0,
"end": 19.86,
"start": 0.8300000000000001
},
{
"action": 1,
"end": 60.81,
"start": 17.37
},
{
"action": 2,
"end": 79.42,
"start": 56.26
}
],
"duration": 82.73,
... |
ehGHCYKzyZ8 | [
{
"sentence": "The video starts with a title logo sequence.",
"step": 0
},
{
"sentence": " A man and woman are in a living room demonstrating exercises.",
"step": 1
},
{
"sentence": " The woman lays on the ground.",
"step": 2
},
{
"sentence": " The man starts pointing to diff... | [
{
"annotation": [
{
"action": 0,
"end": 2.7800000000000002,
"start": 0
},
{
"action": 1,
"end": 61.72,
"start": 3.09
},
{
"action": 2,
"end": 55.24,
"start": 15.43
},
{
"action": 3,
... |
nwznKOuZM7w | [
{
"sentence": "Two people are seen moving around a kitchen quickly performing various tasks and sitting down.",
"step": 0
},
{
"sentence": " They then wax down a ski in the kitchen while continuing to move around.",
"step": 1
}
] | [
{
"annotation": [
{
"action": 0,
"end": 15.51,
"start": 0
},
{
"action": 1,
"end": 31.65,
"start": 11.39
}
],
"duration": 31.65,
"url": "https://www.youtube.com/watch?v=nwznKOuZM7w"
}
] |
ogQozSI5V8U | [
{
"sentence": "We see a hallway with a wooden floor.",
"step": 0
},
{
"sentence": " A dog in socks walks slowly out onto the floor as a lady films him.",
"step": 1
},
{
"sentence": " The dog turns around and goes back to the other room.",
"step": 2
}
] | [
{
"annotation": [
{
"action": 0,
"end": 7.49,
"start": 0
},
{
"action": 1,
"end": 18.09,
"start": 7.49
},
{
"action": 2,
"end": 36.55,
"start": 19.37
}
],
"duration": 36.55,
"url": "https://ww... |
nHE7u40plD0 | [
{
"sentence": "A woman and a man are sitting on the sidewalk playing music.",
"step": 0
},
{
"sentence": " People stand next to them and watch them play.",
"step": 1
},
{
"sentence": " A little boy holding a yellow ball walks by.",
"step": 2
},
{
"sentence": " A man poses for... | [
{
"annotation": [
{
"action": 0,
"end": 145.56,
"start": 0
},
{
"action": 1,
"end": 72.78,
"start": 67.68
},
{
"action": 2,
"end": 87.33,
"start": 82.97
},
{
"action": 3,
"end": 103.... |
69IsHpmRyfk | [
{
"sentence": "A young girl is seen sitting in a chair with a person standing next to her.",
"step": 0
},
{
"sentence": " The person next to her then piercing one ear followed by the other.",
"step": 1
},
{
"sentence": " The person rubs lotion on the piercings afterwards.",
"step": 2... | [
{
"annotation": [
{
"action": 0,
"end": 31.26,
"start": 1.8900000000000001
},
{
"action": 1,
"end": 71.51,
"start": 29.36
},
{
"action": 2,
"end": 91.4,
"start": 55.41
}
],
"duration": 94.72,
... |
D18b2IZpxk0 | [
{
"sentence": "A woman is shown riding a camel past pyramids in Egypt.",
"step": 0
},
{
"sentence": " The camel walks as the woman leans forward.",
"step": 1
},
{
"sentence": " And hand covers the lens as the harness is shown.",
"step": 2
}
] | [
{
"annotation": [
{
"action": 0,
"end": 17.7,
"start": 0
},
{
"action": 1,
"end": 88.01,
"start": 19.61
},
{
"action": 2,
"end": 95.67,
"start": 90.88
}
],
"duration": 95.67,
"url": "https://w... |
pizl41xmw7k | [
{
"sentence": "A child mops the floor of a hallway in a house.",
"step": 0
},
{
"sentence": " The child sets the mop down and plays with her family member.",
"step": 1
},
{
"sentence": " The child walks into the bedroom area and continues to mop the floor.",
"step": 2
}
] | [
{
"annotation": [
{
"action": 0,
"end": 85.18,
"start": 0
},
{
"action": 1,
"end": 43.02,
"start": 27.53
},
{
"action": 2,
"end": 168.64,
"start": 86.04
}
],
"duration": 172.07999999999998,
"u... |
oP77DgsbhKQ | [
{
"sentence": "A man is seen kneeling down on the floor speaking to the camera.",
"step": 0
},
{
"sentence": " The man mixes up various ingredients and begins laying plaster on the floor.",
"step": 1
},
{
"sentence": " He measures the floor and tiles and cuts out a piece of tile to lay o... | [
{
"annotation": [
{
"action": 0,
"end": 40.77,
"start": 0
},
{
"action": 1,
"end": 119.1,
"start": 41.85
},
{
"action": 2,
"end": 170.61,
"start": 96.57
},
{
"action": 3,
"end": 214.... |
fzp5ooc727c | [
{
"sentence": "Two lines of young men are walking side by side down a road.",
"step": 0
},
{
"sentence": "Then one man stands in a field holding a wooden object and begins twisting it.",
"step": 1
},
{
"sentence": "He then bends down and grabs a ball.",
"step": 2
},
{
"senten... | [
{
"annotation": [
{
"action": 0,
"end": 14.83,
"start": 0
},
{
"action": 1,
"end": 32.63,
"start": 15.57
},
{
"action": 2,
"end": 44.5,
"start": 32.63
},
{
"action": 3,
"end": 65.26,... |
LNKdVrX-0Fg | [
{
"sentence": "A woman wearing overalls is talking to the camera.",
"step": 0
},
{
"sentence": " She lays out wrapping paper, showing how to wrap a toy in it.",
"step": 1
},
{
"sentence": " She wraps it around the toy, then tapes it up.",
"step": 2
}
] | [
{
"annotation": [
{
"action": 0,
"end": 22.67,
"start": 0
},
{
"action": 1,
"end": 179.11,
"start": 22.67
},
{
"action": 2,
"end": 226.72,
"start": 182.51
}
],
"duration": 226.72,
"url": "http... |
t0ajvfx6dgA | [
{
"sentence": "A man in a suit is sitting behind a desk.",
"step": 0
},
{
"sentence": " People are playing lacrosse on a field of grass.",
"step": 1
},
{
"sentence": " A person in a yellow uniform is standing in front of a net blocking balls.",
"step": 2
}
] | [
{
"annotation": [
{
"action": 0,
"end": 10.31,
"start": 0
},
{
"action": 1,
"end": 137.69,
"start": 17.67
},
{
"action": 2,
"end": 125.17,
"start": 120.02
}
],
"duration": 147.26,
"url": "http... |
IoiDAHNryTk | [
{
"sentence": "A girl is seen climbing across a set of monkey bars followed by her waving to the camera.",
"step": 0
},
{
"sentence": " She climbs her way back on the bars and jumps down mid way through.",
"step": 1
}
] | [
{
"annotation": [
{
"action": 0,
"end": 19.29,
"start": 0
},
{
"action": 1,
"end": 47.04,
"start": 19.99
}
],
"duration": 47.04,
"url": "https://www.youtube.com/watch?v=IoiDAHNryTk"
}
] |
-yWADgOFxP0 | [
{
"sentence": "A camera pans over a snowy area and leads into a man standing on a snowboard and riding down a mountain.",
"step": 0
},
{
"sentence": " The man zooms in on himself riding down the hill and ends with him turning off the camera.",
"step": 1
}
] | [
{
"annotation": [
{
"action": 0,
"end": 75.09,
"start": 0
},
{
"action": 1,
"end": 238.38,
"start": 75.09
}
],
"duration": 238.38,
"url": "https://www.youtube.com/watch?v=_yWADgOFxP0"
}
] |
AGgJVF3nT6I | [
{
"sentence": "A playroom is seen followed by a young boy sliding down a slide and climbing back up again.",
"step": 0
},
{
"sentence": " He slides down again, this time landing on his back, and continues to slide down several more times.",
"step": 1
}
] | [
{
"annotation": [
{
"action": 0,
"end": 14.31,
"start": 0
},
{
"action": 1,
"end": 65.04,
"start": 14.31
}
],
"duration": 65.04,
"url": "https://www.youtube.com/watch?v=AGgJVF3nT6I"
}
] |
XD3yFrJHiv8 | [
{
"sentence": "A man and woman are sitting on red couches with sports jerseys hanging on the wall and a blue screen on the wall behind them in the middle of them.",
"step": 0
},
{
"sentence": "The woman picks up a clipboard next to her and smooths out the papers that are on top of it while smiling, ... | [
{
"annotation": [
{
"action": 0,
"end": 157.32,
"start": 0
},
{
"action": 1,
"end": 16.52,
"start": 0
},
{
"action": 2,
"end": 29.89,
"start": 0
},
{
"action": 3,
"end": 152.6,
... |
lZKrd84QElk | [
{
"sentence": "The former president is seen walking in a large field next to a woman and surrounded by a large crowd.",
"step": 0
},
{
"sentence": " The man gives a speech while people cheering and he shakes hands with others.",
"step": 1
},
{
"sentence": " The man then shares a beer wit... | [
{
"annotation": [
{
"action": 0,
"end": 18.76,
"start": 0.66
},
{
"action": 1,
"end": 56.94,
"start": 16.79
},
{
"action": 2,
"end": 65.17,
"start": 45.75
}
],
"duration": 65.83,
"url": "https... |
6lYTHj9vImo | [
{
"sentence": "Four kids are outside in the beach playing in the sand,two boys on the left and two girls on the right.",
"step": 0
},
{
"sentence": "The girls have about six sand castles and a large circle surrounding it filled with water.",
"step": 1
},
{
"sentence": "They then take off... | [
{
"annotation": [
{
"action": 0,
"end": 15.33,
"start": 0
},
{
"action": 1,
"end": 34.27,
"start": 15.93
},
{
"action": 2,
"end": 49.6,
"start": 34.57
},
{
"action": 3,
"end": 60.12,... |
E3QtX6r9QX0 | [
{
"sentence": "A large pile of leaves are seen being blown around with shots of a blower being shown.",
"step": 0
},
{
"sentence": " the leaves continue to be shown blowing around as well as a machine sitting off in the distance.",
"step": 1
}
] | [
{
"annotation": [
{
"action": 0,
"end": 36.18,
"start": 0
},
{
"action": 1,
"end": 103.37,
"start": 19.12
}
],
"duration": 103.37,
"url": "https://www.youtube.com/watch?v=E3QtX6r9QX0"
}
] |
iYxj8a1TPYk | [
{
"sentence": "A basketball player is seen dribbling a ball in various shots for the camera and leads into the player making baskets over and over again.",
"step": 0
},
{
"sentence": " The man is then seen speaking to the camera and transitions into him scoring several more baskets.",
"step": 1
... | [
{
"annotation": [
{
"action": 0,
"end": 84.21,
"start": 0
},
{
"action": 1,
"end": 157.41,
"start": 83.43
}
],
"duration": 157.41,
"url": "https://www.youtube.com/watch?v=iYxj8a1TPYk"
}
] |
cp52LdlmlUk | [
{
"sentence": "People are standing in a room working out.",
"step": 0
},
{
"sentence": " They are stepping up and down on small stepping stools.",
"step": 1
},
{
"sentence": " They continue working out in the room.",
"step": 2
}
] | [
{
"annotation": [
{
"action": 0,
"end": 129.96,
"start": 0
},
{
"action": 1,
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"start": 5.2
},
{
"action": 2,
"end": 129.96,
"start": 17.55
}
],
"duration": 129.96,
"url": "https:... |
bpg2PC2neQM | [
{
"sentence": "A black and white video is being played of people playing lacrosse on a field.",
"step": 0
},
{
"sentence": " It then turns back to color and splits into multiple frames and speeds.",
"step": 1
},
{
"sentence": " The video includes numerous clips of players in lacrosse gam... | [
{
"annotation": [
{
"action": 0,
"end": 32.8,
"start": 0
},
{
"action": 1,
"end": 83.11,
"start": 38.27
},
{
"action": 2,
"end": 218.7,
"start": 88.57
}
],
"duration": 218.7,
"url": "https://w... |
RgzbNJPchqc | [
{
"sentence": "A man is playing the bagpipes in front of people.",
"step": 0
},
{
"sentence": " The people on the couch in front of him start laughing.",
"step": 1
}
] | [
{
"annotation": [
{
"action": 0,
"end": 69.24,
"start": 0
},
{
"action": 1,
"end": 60.59,
"start": 38.08
}
],
"duration": 69.24,
"url": "https://www.youtube.com/watch?v=RgzbNJPchqc"
}
] |
-zHSfEhEqkU | [
{
"sentence": "A man is seen padding a canoe along the water while the camera captures him from several angles.",
"step": 0
},
{
"sentence": " The man continues riding around followed by performing several ways to turn the canoe around.",
"step": 1
}
] | [
{
"annotation": [
{
"action": 0,
"end": 64.14,
"start": 0
},
{
"action": 1,
"end": 194.35,
"start": 55.39
}
],
"duration": 194.35,
"url": "https://www.youtube.com/watch?v=_zHSfEhEqkU"
}
] |
dAjhBWalWRM | [
{
"sentence": "A group of people stand in front of a blackjack table.",
"step": 0
},
{
"sentence": " The blackjack attendant places cards on the table.",
"step": 1
}
] | [
{
"annotation": [
{
"action": 0,
"end": 32.09,
"start": 0
},
{
"action": 1,
"end": 30.81,
"start": 0.8
}
],
"duration": 32.09,
"url": "https://www.youtube.com/watch?v=dAjhBWalWRM"
}
] |
zihMznAYlV0 | [
{
"sentence": "Two men in padded sumo costumes are pulled along a tug rope on a ski slope.",
"step": 0
},
{
"sentence": " Two men in yellow padded sumo costumes do jumps on their snowboard on a downhill course.",
"step": 1
},
{
"sentence": " A filmer waives to the camera.",
"step": 2... | [
{
"annotation": [
{
"action": 0,
"end": 4.73,
"start": 1.46
},
{
"action": 1,
"end": 72.8,
"start": 6.19
},
{
"action": 2,
"end": 40.4,
"start": 38.95
},
{
"action": 3,
"end": 51.32,... |
---9CpRcKoU | [
{
"sentence": "A man was sitting inside a room.",
"step": 0
},
{
"sentence": " He is holding a bowl of noodles and broth.",
"step": 1
},
{
"sentence": " He is drinking the broth from a bowl.",
"step": 2
}
] | [
{
"annotation": [
{
"action": 0,
"end": 1.62,
"start": 0
},
{
"action": 1,
"end": 8.58,
"start": 1.76
},
{
"action": 2,
"end": 14.07,
"start": 8.87
}
],
"duration": 14.07,
"url": "https://www.... |
epqnpUCVLK8 | [
{
"sentence": "A little boy is laying on an exercise ball.",
"step": 0
},
{
"sentence": " The boy falls of and gets back on the ball before he falls off again.",
"step": 1
},
{
"sentence": " He tries to sit on the ball but the ball rolls away.",
"step": 2
},
{
"sentence": " H... | [
{
"annotation": [
{
"action": 0,
"end": 5.07,
"start": 0
},
{
"action": 1,
"end": 13.61,
"start": 5.07
},
{
"action": 2,
"end": 24.38,
"start": 13.61
},
{
"action": 3,
"end": 61.74,
... |
GFE2wAi9fjo | [
{
"sentence": "A woman puts a pair of shoes on while sitting in an office chair.",
"step": 0
},
{
"sentence": " The woman buckles her shoes.",
"step": 1
}
] | [
{
"annotation": [
{
"action": 0,
"end": 17.15,
"start": 0
},
{
"action": 1,
"end": 17.15,
"start": 6.6
}
],
"duration": 17.15,
"url": "https://www.youtube.com/watch?v=GFE2wAi9fjo"
}
] |
W19-fYOO9sg | [
{
"sentence": "A close up of a bike wheel is seen that leads into a person's hands pushing on the tire.",
"step": 0
},
{
"sentence": " The person uses a tool along the tire to help move it along.",
"step": 1
},
{
"sentence": " The person finally pushes the tire along it's sides.",
"s... | [
{
"annotation": [
{
"action": 0,
"end": 32.88,
"start": 0
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End of preview.
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