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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 1 new columns ({'text'}) and 11 missing columns ({'used_relation', 'width', 'fps', 'height', 'used_segment', 'subject/objects', 'captions', 'questions', 'temporal_gt', 'vid', 'frame_count'}).
This happened while the json dataset builder was generating data using
hf://datasets/k-nick/VidSTG/annotations/train_files.json (at revision 7bd5d172c530edc92a01574ab85d2d9c41647c68)
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 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
text: string
to
{'used_relation': {'begin_fid': Value(dtype='int64', id=None), 'end_fid': Value(dtype='int64', id=None), 'object_tid': Value(dtype='int64', id=None), 'predicate': Value(dtype='string', id=None), 'subject_tid': Value(dtype='int64', id=None)}, 'fps': Value(dtype='float64', id=None), 'used_segment': {'begin_fid': Value(dtype='int64', id=None), 'end_fid': Value(dtype='int64', id=None)}, 'vid': Value(dtype='string', id=None), 'height': Value(dtype='int64', id=None), 'subject/objects': [{'category': Value(dtype='string', id=None), 'tid': Value(dtype='int64', id=None)}], 'captions': [{'description': Value(dtype='string', id=None), 'target_id': Value(dtype='int64', id=None), 'type': Value(dtype='string', id=None)}], 'questions': [{'description': Value(dtype='string', id=None), 'target_id': Value(dtype='int64', id=None), 'type': Value(dtype='string', id=None)}], 'temporal_gt': {'begin_fid': Value(dtype='int64', id=None), 'end_fid': Value(dtype='int64', id=None)}, 'width': Value(dtype='int64', id=None), 'frame_count': Value(dtype='int64', 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 1316, in compute_config_parquet_and_info_response
parquet_operations, partial = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2013, 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 1 new columns ({'text'}) and 11 missing columns ({'used_relation', 'width', 'fps', 'height', 'used_segment', 'subject/objects', 'captions', 'questions', 'temporal_gt', 'vid', 'frame_count'}).
This happened while the json dataset builder was generating data using
hf://datasets/k-nick/VidSTG/annotations/train_files.json (at revision 7bd5d172c530edc92a01574ab85d2d9c41647c68)
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.
width
int64 | height
int64 | used_segment
dict | fps
float64 | used_relation
dict | captions
list | vid
string | frame_count
int64 | temporal_gt
dict | questions
list | subject/objects
list |
|---|---|---|---|---|---|---|---|---|---|---|
320 | 240 |
{
"begin_fid": 0,
"end_fid": 603
}
| 15 |
{
"begin_fid": 124,
"end_fid": 604,
"object_tid": 4,
"predicate": "hold",
"subject_tid": 1
}
|
[
{
"description": "an adult man in black holds a glass cup.",
"target_id": 1,
"type": "person"
}
] |
2727682922
| 604 |
{
"begin_fid": 124,
"end_fid": 604
}
|
[
{
"description": "what does the adult man in black hold?",
"target_id": 4,
"type": "object"
}
] |
[
{
"category": "adult",
"tid": 0
},
{
"category": "adult",
"tid": 1
},
{
"category": "cake",
"tid": 2
},
{
"category": "adult",
"tid": 3
},
{
"category": "cup",
"tid": 4
},
{
"category": "cup",
"tid": 5
}
] |
640 | 480 |
{
"begin_fid": 0,
"end_fid": 1724
}
| 29.97003 |
{
"begin_fid": 180,
"end_fid": 1710,
"object_tid": 2,
"predicate": "beneath",
"subject_tid": 5
}
|
[
{
"description": "there is a white horse beneath an adult man in black.",
"target_id": 5,
"type": "object"
}
] |
2769996915
| 1,725 |
{
"begin_fid": 180,
"end_fid": 1710
}
|
[
{
"description": "what is beneath the adult man in black?",
"target_id": 5,
"type": "object"
}
] |
[
{
"category": "adult",
"tid": 0
},
{
"category": "adult",
"tid": 1
},
{
"category": "adult",
"tid": 2
},
{
"category": "adult",
"tid": 3
},
{
"category": "horse",
"tid": 4
},
{
"category": "horse",
"tid": 5
},
{
"category": "horse",
"tid": 6
}
] |
640 | 360 |
{
"begin_fid": 569,
"end_fid": 1823
}
| 29.97003 |
{
"begin_fid": 869,
"end_fid": 1109,
"object_tid": 1,
"predicate": "towards",
"subject_tid": 5
}
|
[
{
"description": "a child wearing blue pants is towards an adult wearing a mask.",
"target_id": 5,
"type": "person"
}
] |
4655213495
| 1,824 |
{
"begin_fid": 869,
"end_fid": 1109
}
|
[
{
"description": "who is towards the adult wearing a mask?",
"target_id": 5,
"type": "person"
},
{
"description": "who is the child wearing blue pants towards to?",
"target_id": 1,
"type": "person"
}
] |
[
{
"category": "baby",
"tid": 0
},
{
"category": "adult",
"tid": 1
},
{
"category": "adult",
"tid": 2
},
{
"category": "child",
"tid": 3
},
{
"category": "backpack",
"tid": 4
},
{
"category": "child",
"tid": 5
},
{
"category": "child",
"tid": 6
}
] |
640 | 360 |
{
"begin_fid": 293,
"end_fid": 854
}
| 29.97003 |
{
"begin_fid": 515,
"end_fid": 569,
"object_tid": 7,
"predicate": "next_to",
"subject_tid": 1
}
|
[
{
"description": "a child is next to a toy on the ground.",
"target_id": 1,
"type": "person"
}
] |
4598213889
| 855 |
{
"begin_fid": 515,
"end_fid": 569
}
|
[
{
"description": "who is next to the toy on the ground?",
"target_id": 1,
"type": "person"
},
{
"description": "what is the child next to on the ground?",
"target_id": 7,
"type": "object"
}
] |
[
{
"category": "baby",
"tid": 0
},
{
"category": "child",
"tid": 1
},
{
"category": "child",
"tid": 2
},
{
"category": "adult",
"tid": 3
},
{
"category": "ball/sports_ball",
"tid": 4
},
{
"category": "bottle",
"tid": 5
},
{
"category": "toy",
"tid": 6
},
{
"category": "toy",
"tid": 7
},
{
"category": "toy",
"tid": 8
},
{
"category": "toy",
"tid": 9
}
] |
640 | 480 |
{
"begin_fid": 0,
"end_fid": 385
}
| 29.97003 |
{
"begin_fid": 252,
"end_fid": 359,
"object_tid": 0,
"predicate": "hug",
"subject_tid": 1
}
|
[
{
"description": "a child in white hugs another child in black in the room.",
"target_id": 1,
"type": "person"
}
] |
4284560730
| 386 |
{
"begin_fid": 252,
"end_fid": 359
}
|
[
{
"description": "who hugs the other child in black in the room?",
"target_id": 1,
"type": "person"
}
] |
[
{
"category": "child",
"tid": 0
},
{
"category": "child",
"tid": 1
},
{
"category": "adult",
"tid": 2
},
{
"category": "adult",
"tid": 3
},
{
"category": "chair",
"tid": 4
},
{
"category": "table",
"tid": 5
},
{
"category": "toy",
"tid": 6
}
] |
640 | 360 |
{
"begin_fid": 0,
"end_fid": 606
}
| 29.97003 |
{
"begin_fid": 420,
"end_fid": 570,
"object_tid": 1,
"predicate": "away",
"subject_tid": 0
}
|
[
{
"description": "a child wearing black pants is away from an adult.",
"target_id": 0,
"type": "person"
}
] |
6391532457
| 607 |
{
"begin_fid": 420,
"end_fid": 570
}
|
[
{
"description": "who is away from the adult?",
"target_id": 0,
"type": "person"
}
] |
[
{
"category": "child",
"tid": 0
},
{
"category": "adult",
"tid": 1
},
{
"category": "adult",
"tid": 2
},
{
"category": "adult",
"tid": 3
},
{
"category": "adult",
"tid": 4
},
{
"category": "ball/sports_ball",
"tid": 5
},
{
"category": "ball/sports_ball",
"tid": 6
},
{
"category": "table",
"tid": 7
},
{
"category": "cup",
"tid": 8
},
{
"category": "toy",
"tid": 9
},
{
"category": "sofa",
"tid": 10
},
{
"category": "sofa",
"tid": 11
},
{
"category": "toy",
"tid": 12
},
{
"category": "baby_seat",
"tid": 13
}
] |
320 | 240 |
{
"begin_fid": 0,
"end_fid": 835
}
| 29.97003 |
{
"begin_fid": 393,
"end_fid": 836,
"object_tid": 5,
"predicate": "hug",
"subject_tid": 1
}
|
[
{
"description": "a child in a hat hugs a toy.",
"target_id": 1,
"type": "person"
}
] |
2440057130
| 836 |
{
"begin_fid": 393,
"end_fid": 836
}
|
[
{
"description": "who hugs the toy?",
"target_id": 1,
"type": "person"
}
] |
[
{
"category": "adult",
"tid": 0
},
{
"category": "child",
"tid": 1
},
{
"category": "child",
"tid": 2
},
{
"category": "toy",
"tid": 3
},
{
"category": "toy",
"tid": 4
},
{
"category": "toy",
"tid": 5
},
{
"category": "handbag",
"tid": 6
}
] |
640 | 360 |
{
"begin_fid": 0,
"end_fid": 308
}
| 29.97003 |
{
"begin_fid": 0,
"end_fid": 270,
"object_tid": 1,
"predicate": "in_front_of",
"subject_tid": 0
}
|
[
{
"description": "a child in yellow clothes is in front of another child in black clothes.",
"target_id": 0,
"type": "person"
}
] |
6811523608
| 309 |
{
"begin_fid": 0,
"end_fid": 270
}
|
[
{
"description": "who is in front of the other child in black clothes?",
"target_id": 0,
"type": "person"
},
{
"description": "who is behind the child in yellow clothes?",
"target_id": 1,
"type": "person"
}
] |
[
{
"category": "child",
"tid": 0
},
{
"category": "child",
"tid": 1
}
] |
640 | 360 |
{
"begin_fid": 0,
"end_fid": 648
}
| 29.97003 |
{
"begin_fid": 207,
"end_fid": 253,
"object_tid": 3,
"predicate": "open",
"subject_tid": 1
}
|
[
{
"description": "an adult in green opens a bus outdoors.",
"target_id": 1,
"type": "person"
}
] |
7791533260
| 649 |
{
"begin_fid": 207,
"end_fid": 253
}
|
[
{
"description": "who opens the bus outdoors?",
"target_id": 1,
"type": "person"
}
] |
[
{
"category": "adult",
"tid": 0
},
{
"category": "adult",
"tid": 1
},
{
"category": "bus/truck",
"tid": 2
},
{
"category": "bus/truck",
"tid": 3
}
] |
640 | 360 |
{
"begin_fid": 0,
"end_fid": 1460
}
| 23.976024 |
{
"begin_fid": 1248,
"end_fid": 1316,
"object_tid": 1,
"predicate": "behind",
"subject_tid": 6
}
|
[
{
"description": "there is a black sofa behind a child in gray and white on the blanket.",
"target_id": 6,
"type": "object"
}
] |
8212773822
| 1,461 |
{
"begin_fid": 1248,
"end_fid": 1316
}
|
[
{
"description": "who is in front of the black sofa on the blanket?",
"target_id": 1,
"type": "person"
}
] |
[
{
"category": "screen/monitor",
"tid": 0
},
{
"category": "child",
"tid": 1
},
{
"category": "adult",
"tid": 2
},
{
"category": "adult",
"tid": 3
},
{
"category": "dog",
"tid": 4
},
{
"category": "sofa",
"tid": 5
},
{
"category": "sofa",
"tid": 6
},
{
"category": "cup",
"tid": 7
}
] |
640 | 480 |
{
"begin_fid": 0,
"end_fid": 510
}
| 25 |
{
"begin_fid": 0,
"end_fid": 511,
"object_tid": 6,
"predicate": "carry",
"subject_tid": 0
}
|
[
{
"description": "an adult in orange carries a black backpack in the snow.",
"target_id": 0,
"type": "person"
}
] |
3281490756
| 511 |
{
"begin_fid": 0,
"end_fid": 511
}
|
[
{
"description": "what does the adult in orange carry in the snow?",
"target_id": 6,
"type": "object"
}
] |
[
{
"category": "adult",
"tid": 0
},
{
"category": "ski",
"tid": 1
},
{
"category": "adult",
"tid": 2
},
{
"category": "ski",
"tid": 3
},
{
"category": "adult",
"tid": 4
},
{
"category": "ski",
"tid": 5
},
{
"category": "backpack",
"tid": 6
},
{
"category": "backpack",
"tid": 7
},
{
"category": "backpack",
"tid": 8
}
] |
640 | 426 |
{
"begin_fid": 0,
"end_fid": 174
}
| 29.97003 |
{
"begin_fid": 120,
"end_fid": 159,
"object_tid": 1,
"predicate": "inside",
"subject_tid": 2
}
|
[
{
"description": "an adult is inside a car on the road.",
"target_id": 2,
"type": "person"
}
] |
5643227230
| 175 |
{
"begin_fid": 120,
"end_fid": 159
}
|
[
{
"description": "who is inside the car on the road?",
"target_id": 2,
"type": "person"
}
] |
[
{
"category": "car",
"tid": 0
},
{
"category": "car",
"tid": 1
},
{
"category": "adult",
"tid": 2
}
] |
640 | 1,138 |
{
"begin_fid": 0,
"end_fid": 1727
}
| 29.97003 |
{
"begin_fid": 1531,
"end_fid": 1589,
"object_tid": 6,
"predicate": "away",
"subject_tid": 7
}
|
[
{
"description": "there is a dog away another dog in a room.",
"target_id": 7,
"type": "object"
}
] |
6341769390
| 1,728 |
{
"begin_fid": 1531,
"end_fid": 1589
}
|
[
{
"description": "what is away the other dog in the room?",
"target_id": 7,
"type": "object"
}
] |
[
{
"category": "dog",
"tid": 0
},
{
"category": "dog",
"tid": 1
},
{
"category": "dog",
"tid": 2
},
{
"category": "dog",
"tid": 3
},
{
"category": "dog",
"tid": 4
},
{
"category": "dog",
"tid": 5
},
{
"category": "dog",
"tid": 6
},
{
"category": "dog",
"tid": 7
},
{
"category": "dog",
"tid": 8
},
{
"category": "child",
"tid": 9
},
{
"category": "adult",
"tid": 10
}
] |
640 | 480 |
{
"begin_fid": 0,
"end_fid": 728
}
| 25 |
{
"begin_fid": 0,
"end_fid": 694,
"object_tid": 0,
"predicate": "next_to",
"subject_tid": 1
}
|
[
{
"description": "there is a gray cat next to a female adult.",
"target_id": 1,
"type": "object"
}
] |
3447876447
| 729 |
{
"begin_fid": 0,
"end_fid": 694
}
|
[
{
"description": "who is the gray cat next to?",
"target_id": 0,
"type": "person"
}
] |
[
{
"category": "adult",
"tid": 0
},
{
"category": "cat",
"tid": 1
},
{
"category": "adult",
"tid": 2
}
] |
640 | 360 |
{
"begin_fid": 0,
"end_fid": 701
}
| 29.97 |
{
"begin_fid": 600,
"end_fid": 690,
"object_tid": 2,
"predicate": "next_to",
"subject_tid": 6
}
|
[
{
"description": "a child in black is next to an adult in white on a sofa.",
"target_id": 6,
"type": "person"
}
] |
8890945814
| 702 |
{
"begin_fid": 600,
"end_fid": 690
}
|
[
{
"description": "who is next to the adult in white on the sofa?",
"target_id": 6,
"type": "person"
}
] |
[
{
"category": "adult",
"tid": 0
},
{
"category": "adult",
"tid": 1
},
{
"category": "adult",
"tid": 2
},
{
"category": "adult",
"tid": 3
},
{
"category": "sofa",
"tid": 4
},
{
"category": "adult",
"tid": 5
},
{
"category": "child",
"tid": 6
},
{
"category": "chair",
"tid": 7
},
{
"category": "adult",
"tid": 8
},
{
"category": "camera",
"tid": 9
}
] |
640 | 480 |
{
"begin_fid": 0,
"end_fid": 1592
}
| 29.97003 |
{
"begin_fid": 523,
"end_fid": 578,
"object_tid": 0,
"predicate": "hug",
"subject_tid": 5
}
|
[
{
"description": "a baby with blond-hair hugs a red toy.",
"target_id": 5,
"type": "person"
}
] |
6314288870
| 1,593 |
{
"begin_fid": 523,
"end_fid": 578
}
|
[
{
"description": "who hugs the red toy?",
"target_id": 5,
"type": "person"
},
{
"description": "what does the baby with blond-hair hug?",
"target_id": 0,
"type": "object"
}
] |
[
{
"category": "toy",
"tid": 0
},
{
"category": "child",
"tid": 1
},
{
"category": "child",
"tid": 2
},
{
"category": "child",
"tid": 3
},
{
"category": "adult",
"tid": 4
},
{
"category": "baby",
"tid": 5
},
{
"category": "adult",
"tid": 6
}
] |
640 | 360 |
{
"begin_fid": 0,
"end_fid": 332
}
| 29.97003 |
{
"begin_fid": 0,
"end_fid": 150,
"object_tid": 1,
"predicate": "beneath",
"subject_tid": 0
}
|
[
{
"description": "an adult is beneath another adult under the water.",
"target_id": 0,
"type": "person"
}
] |
3975461732
| 333 |
{
"begin_fid": 0,
"end_fid": 150
}
|
[
{
"description": "who is beneath the other adult under the water?",
"target_id": 0,
"type": "person"
},
{
"description": "who is above the adult under the water?",
"target_id": 1,
"type": "person"
}
] |
[
{
"category": "adult",
"tid": 0
},
{
"category": "adult",
"tid": 1
}
] |
640 | 362 |
{
"begin_fid": 0,
"end_fid": 958
}
| 25 |
{
"begin_fid": 925,
"end_fid": 959,
"object_tid": 5,
"predicate": "hug",
"subject_tid": 0
}
|
[
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640 | 360 |
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{
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640 | 360 |
{
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| 24 |
{
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[
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4748191834
| 798 |
{
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[
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{
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[
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640 | 360 |
{
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| 24 |
{
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[
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5561006511
| 530 |
{
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[
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{
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640 | 360 |
{
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| 29.97003 |
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[
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7368321214
| 90 |
{
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[
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640 | 480 |
{
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| 29.97003 |
{
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[
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8686935623
| 102 |
{
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640 | 480 |
{
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| 25 |
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8728461458
| 420 |
{
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[
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640 | 480 |
{
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| 29.97003 |
{
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[
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4807956569
| 906 |
{
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[
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] |
[
{
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568 | 320 |
{
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| 29.97003 |
{
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[
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4805511103
| 1,621 |
{
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[
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[
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{
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640 | 360 |
{
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| 29.97003 |
{
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[
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3190710669
| 1,064 |
{
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[
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] |
640 | 360 |
{
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| 23.976024 |
{
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[
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] |
8212773822
| 1,461 |
{
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[
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{
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640 | 480 |
{
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| 29.97003 |
{
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[
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] |
5220256786
| 2,100 |
{
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[
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[
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640 | 360 |
{
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| 29.97003 |
{
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|
[
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8577770314
| 2,644 |
{
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[
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] |
640 | 480 |
{
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| 23.976024 |
{
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[
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] |
2746688672
| 1,103 |
{
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|
[
{
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] |
[
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] |
480 | 272 |
{
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| 29.97003 |
{
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[
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] |
4930421543
| 794 |
{
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[
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[
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] |
640 | 360 |
{
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| 29.97003 |
{
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[
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] |
3152504882
| 2,403 |
{
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|
[
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[
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{
"category": "electric_fan",
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{
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}
] |
640 | 360 |
{
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| 29.97003 |
{
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|
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] |
3152504882
| 2,403 |
{
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[
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[
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{
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640 | 360 |
{
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| 29.97003 |
{
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[
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] |
3152504882
| 2,403 |
{
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[
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[
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{
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{
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] |
640 | 360 |
{
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| 29.97003 |
{
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[
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] |
3152504882
| 2,403 |
{
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|
[
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[
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{
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] |
640 | 360 |
{
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| 29.97003 |
{
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|
[
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3152504882
| 2,403 |
{
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|
[
{
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[
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{
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},
{
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{
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] |
640 | 360 |
{
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| 29.97003 |
{
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|
[
{
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}
] |
7499914046
| 1,760 |
{
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}
|
[
{
"description": "who caresses the black cat?",
"target_id": 0,
"type": "person"
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] |
[
{
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"tid": 0
},
{
"category": "cat",
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{
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}
] |
640 | 480 |
{
"begin_fid": 0,
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}
| 29.97003 |
{
"begin_fid": 0,
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|
[
{
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"type": "person"
}
] |
5076916325
| 315 |
{
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|
[
{
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"type": "person"
},
{
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"target_id": 1,
"type": "person"
}
] |
[
{
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},
{
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},
{
"category": "camera",
"tid": 2
},
{
"category": "adult",
"tid": 3
}
] |
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