The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 18961 new columns ({'60].6', 'date_captured:""}.157', '148.19', '113.17', '86.67', '93.8', 'iscrowd:0.316', '54.38', 'width:224.144', '204.10', 'id:297', '83.65', 'bbox:[64.1', 'area:1140', '144]].2', '{"segmentation":[[109.1', '139.81', 'license:0.75', 'file_name:"242.jpg"', 'date_captured:""}.83', 'iscrowd:0.321', '223.86', '159.49', '149.18', 'image_id:130.1', '144.25', 'iscrowd:0.54', '105].2', '83.31', 'license:0.139', 'iscrowd:0.234', '122.7', '196.12', '148.17', '133.62', '9.1', '167.12', '32.14', '11.11', '31.10', '125.23', '24.26', '87.79', '107.43', '82.60', '110.52', 'bbox:[77.1', '104.76', '67.11', '30.36', 'image_id:228.3', '51.7', '127.36', '141.55', '69.49', '16.14', '90.41', 'file_name:"10.jpg"', '104.4', '174.46', 'width:224.85', '{"id":282', 'date_captured:""}.117', 'license:0.289', 'license:0.95', 'width:224.242', '97.3', '144.45', '129.31', 'file_name:"65.jpg"', '166]]', '62.49', '{"id":31', '109.62', '103.39', '93.59', '222.65', '127.28', '92.21', 'image_id:219', '117.8', '134.16', '150.26', 'license:0.263', '125.51', '41.25', '118]]', 'image_id:236.1', '10.8', '23.20', '{"id":130', 'category_id:null}.38', '125.6', '73.13', '167.80', '131]', '107.5', '92]]', '13.3', '96.41', '114.39', '141.3', '36.23', '64.58', 'category_id:null}.376', '101.76', '132.2', '166.42', 'height:224.182', 'bbox:[56.3', 'date_captured:""}.113', '66.65', '0]]', '19.23', 'height:224.55', '123.31', 'image_id:49', '139.45', '213.26', '167.11', 'width:224.68', '127.87', '60.38', 'image_id:13', '131.42',
...
:""}.1', '148.12', '88.35', '3.9', '184.8', '29.36', '131].1', '32.19', '201.31', 'license:0.236', '153.27', '21.37', '67.9', '182.40', '211.12', '158.30', 'date_captured:""}.182', '203.13', '151.60', 'id:51', 'iscrowd:0.91', '51.6', '107.8', 'date_captured:""}]', '96.21', '95.42', '118.6', '192.34', 'date_captured:""}.22', 'height:224.3', '40.27', '100.9', '108.26', '127.56', '113.30', '128.100', 'bbox:[152.3', '33.16', '37].1', 'id:302', '81.24', '199.46', '14.19', '223.31', '105.59', 'category_id:null}.203', '183.12', '118.29', 'bbox:[207', '87.55', '214.31', '23.3', '85.34', '1.62', 'height:224.247', '119.17', '184.29', 'image_id:209', '222.76', '176.33', '129.11', '40.33', '114.49', '84.10', 'bbox:[9', '126.43', 'license:0.228', '{"id":103', '63.17', '159.41', 'file_name:"89.jpg"', '124.76', '104.36', '194.24', 'height:224.1', 'category_id:null}.28', '80.62', '164.7', '171.9', '15].1', 'category_id:null}.237', '68.74', '58.4', '1]].9', '68.66', '44.44', '95.67', 'date_captured:""}.155', '176.13', '185.37', '183.19', '171.47', '199.48', 'iscrowd:0.68', '{"segmentation":[[108.1', '123.19', '204.37', '80.13', '192.12', '53.23', '127.34', '196.33', '106.20', 'license:0.179', '130.11', '165.14', '148.41', '220.28', '220]]', '{"segmentation":[[94.1', '142.4', '96]]', '161.16', '202]].2', 'width:224.139', '125.49', '72.25', '{"segmentation":[[161', '81].3', '196.31', '198.30', 'id:328', '83.46', 'iscrowd:0.64', '159.47', '182.2', '190.35', 'area:170', 'width:224.274', '182.43'}) and 2 missing columns ({' Object', 'Index'}).
This happened while the csv dataset builder was generating data using
hf://datasets/IVUlab/pixmmvp/Segmentations.json (at revision 2d2a87856e057b3fe0b6daba73b8c66800b69a50), [/tmp/hf-datasets-cache/medium/datasets/66249055984868-config-parquet-and-info-IVUlab-pixmmvp-ed4e745b/hub/datasets--IVUlab--pixmmvp/snapshots/2d2a87856e057b3fe0b6daba73b8c66800b69a50/Objects.csv (origin=hf://datasets/IVUlab/pixmmvp@2d2a87856e057b3fe0b6daba73b8c66800b69a50/Objects.csv), /tmp/hf-datasets-cache/medium/datasets/66249055984868-config-parquet-and-info-IVUlab-pixmmvp-ed4e745b/hub/datasets--IVUlab--pixmmvp/snapshots/2d2a87856e057b3fe0b6daba73b8c66800b69a50/Segmentations.json (origin=hf://datasets/IVUlab/pixmmvp@2d2a87856e057b3fe0b6daba73b8c66800b69a50/Segmentations.json), /tmp/hf-datasets-cache/medium/datasets/66249055984868-config-parquet-and-info-IVUlab-pixmmvp-ed4e745b/hub/datasets--IVUlab--pixmmvp/snapshots/2d2a87856e057b3fe0b6daba73b8c66800b69a50/visual_patterns.csv (origin=hf://datasets/IVUlab/pixmmvp@2d2a87856e057b3fe0b6daba73b8c66800b69a50/visual_patterns.csv)]
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/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 674, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
{"info":{"year":2024: null
version:"1.0": null
description:"VIA project exported to COCO format using VGG Image Annotator (http://www.robots.ox.ac. (... 23 chars omitted): null
contributor:"": null
url:"http://www.robots.ox.ac.uk/~vgg/software/via/": null
date_created:"Sat Dec 07 2024 09:04:59 GMT-0500 (Eastern Standard Time)"}: null
images:[{"id":1: null
width:224: null
height:224: null
file_name:"1.jpg": null
license:0: null
date_captured:""}: null
{"id":2: null
width:224.1: null
height:224.1: null
file_name:"2.jpg": null
license:0.1: null
date_captured:""}.1: null
{"id":3: null
width:224.2: null
height:224.2: null
file_name:"3.jpg": null
license:0.2: null
date_captured:""}.2: null
{"id":4: null
width:224.3: null
height:224.3: null
file_name:"4.jpg": null
license:0.3: null
date_captured:""}.3: null
{"id":5: null
width:224.4: null
height:224.4: null
file_name:"5.jpg": null
license:0.4: null
date_captured:""}.4: null
{"id":6: null
width:224.5: null
height:224.5: null
file_name:"6.jpg": null
license:0.5: null
date_captured:""}.5: null
{"id":7: null
width:224.6: null
height:224.6: null
file_name:"7.jpg": null
license:0.6: null
date_captured:""}.6: null
{"id":8: null
width:224.7: null
height:224.7: null
file_name:"8.jpg": null
license:0.7: null
date_captured:""}.7: null
{"id":9: null
width:224.8: null
height:224.8: null
file_name:"9.jpg": null
license:0.8: null
date_captured:""}.8: null
{"id":10: null
width:224.9: null
height:224.9: null
file_name:"10.jpg": null
license:0.9: nul
...
29: null
66.73: null
222.87: null
138.93: null
214.31: null
143.82: null
222.88: null
158.64: null
220.30: null
173.67: null
220.31: null
188.42: null
216.37: null
197.35: null
211.33: null
207.33: null
201.42: null
211.34: null
188.43: null
216.38: null
173.68: null
216.39: null
161.63: null
210.44: null
153.58: null
200.53: null
146.64: null
214.32: null
128.101: null
222.89: null
105.86: null
222.90: null
75.69: null
217.27: null
61.52: null
200.54: null
54.44: null
184.50: null
53.67: null
173.69: null
45.43: null
187.61: null
34.55: null
192.46: null
16.22: null
192.47: null
1.107: null
185.48: null
2.46: null
126.96: null
6.21: null
115.77: null
19.23: null
111.84: null
25.27: null
108.76: null
24.30: null
99.52: null
19.24: null
80.86: null
19.25: null
68.79: null
28.31: null
54.45: null
39.36: null
45.44: null
59.65: null
43.48: null
70.81: null
44]].1: null
area:42370: null
bbox:[1.36: null
32.62: null
223.183: null
190].1: null
iscrowd:0.383: null
id:384: null
image_id:298: null
category_id:null}]: null
licenses:[{"id":0: null
name:"Unknown License": null
url:""}]: null
categories:[{"supercategory":"type": null
id:null: null
name:"Bird"}: null
{"supercategory":"type": null
id:null.1: null
name:"Human"}: null
{"supercategory":"type".1: null
id:null.2: null
name:"Cup (object)"}: null
{"supercategory":"type".2: null
id:null.3: null
name:"Unknown (object)"}]}: null
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2142241
to
{'Index': Value('int64'), ' Object': 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 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1889, 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 18961 new columns ({'60].6', 'date_captured:""}.157', '148.19', '113.17', '86.67', '93.8', 'iscrowd:0.316', '54.38', 'width:224.144', '204.10', 'id:297', '83.65', 'bbox:[64.1', 'area:1140', '144]].2', '{"segmentation":[[109.1', '139.81', 'license:0.75', 'file_name:"242.jpg"', 'date_captured:""}.83', 'iscrowd:0.321', '223.86', '159.49', '149.18', 'image_id:130.1', '144.25', 'iscrowd:0.54', '105].2', '83.31', 'license:0.139', 'iscrowd:0.234', '122.7', '196.12', '148.17', '133.62', '9.1', '167.12', '32.14', '11.11', '31.10', '125.23', '24.26', '87.79', '107.43', '82.60', '110.52', 'bbox:[77.1', '104.76', '67.11', '30.36', 'image_id:228.3', '51.7', '127.36', '141.55', '69.49', '16.14', '90.41', 'file_name:"10.jpg"', '104.4', '174.46', 'width:224.85', '{"id":282', 'date_captured:""}.117', 'license:0.289', 'license:0.95', 'width:224.242', '97.3', '144.45', '129.31', 'file_name:"65.jpg"', '166]]', '62.49', '{"id":31', '109.62', '103.39', '93.59', '222.65', '127.28', '92.21', 'image_id:219', '117.8', '134.16', '150.26', 'license:0.263', '125.51', '41.25', '118]]', 'image_id:236.1', '10.8', '23.20', '{"id":130', 'category_id:null}.38', '125.6', '73.13', '167.80', '131]', '107.5', '92]]', '13.3', '96.41', '114.39', '141.3', '36.23', '64.58', 'category_id:null}.376', '101.76', '132.2', '166.42', 'height:224.182', 'bbox:[56.3', 'date_captured:""}.113', '66.65', '0]]', '19.23', 'height:224.55', '123.31', 'image_id:49', '139.45', '213.26', '167.11', 'width:224.68', '127.87', '60.38', 'image_id:13', '131.42',
...
:""}.1', '148.12', '88.35', '3.9', '184.8', '29.36', '131].1', '32.19', '201.31', 'license:0.236', '153.27', '21.37', '67.9', '182.40', '211.12', '158.30', 'date_captured:""}.182', '203.13', '151.60', 'id:51', 'iscrowd:0.91', '51.6', '107.8', 'date_captured:""}]', '96.21', '95.42', '118.6', '192.34', 'date_captured:""}.22', 'height:224.3', '40.27', '100.9', '108.26', '127.56', '113.30', '128.100', 'bbox:[152.3', '33.16', '37].1', 'id:302', '81.24', '199.46', '14.19', '223.31', '105.59', 'category_id:null}.203', '183.12', '118.29', 'bbox:[207', '87.55', '214.31', '23.3', '85.34', '1.62', 'height:224.247', '119.17', '184.29', 'image_id:209', '222.76', '176.33', '129.11', '40.33', '114.49', '84.10', 'bbox:[9', '126.43', 'license:0.228', '{"id":103', '63.17', '159.41', 'file_name:"89.jpg"', '124.76', '104.36', '194.24', 'height:224.1', 'category_id:null}.28', '80.62', '164.7', '171.9', '15].1', 'category_id:null}.237', '68.74', '58.4', '1]].9', '68.66', '44.44', '95.67', 'date_captured:""}.155', '176.13', '185.37', '183.19', '171.47', '199.48', 'iscrowd:0.68', '{"segmentation":[[108.1', '123.19', '204.37', '80.13', '192.12', '53.23', '127.34', '196.33', '106.20', 'license:0.179', '130.11', '165.14', '148.41', '220.28', '220]]', '{"segmentation":[[94.1', '142.4', '96]]', '161.16', '202]].2', 'width:224.139', '125.49', '72.25', '{"segmentation":[[161', '81].3', '196.31', '198.30', 'id:328', '83.46', 'iscrowd:0.64', '159.47', '182.2', '190.35', 'area:170', 'width:224.274', '182.43'}) and 2 missing columns ({' Object', 'Index'}).
This happened while the csv dataset builder was generating data using
hf://datasets/IVUlab/pixmmvp/Segmentations.json (at revision 2d2a87856e057b3fe0b6daba73b8c66800b69a50), [/tmp/hf-datasets-cache/medium/datasets/66249055984868-config-parquet-and-info-IVUlab-pixmmvp-ed4e745b/hub/datasets--IVUlab--pixmmvp/snapshots/2d2a87856e057b3fe0b6daba73b8c66800b69a50/Objects.csv (origin=hf://datasets/IVUlab/pixmmvp@2d2a87856e057b3fe0b6daba73b8c66800b69a50/Objects.csv), /tmp/hf-datasets-cache/medium/datasets/66249055984868-config-parquet-and-info-IVUlab-pixmmvp-ed4e745b/hub/datasets--IVUlab--pixmmvp/snapshots/2d2a87856e057b3fe0b6daba73b8c66800b69a50/Segmentations.json (origin=hf://datasets/IVUlab/pixmmvp@2d2a87856e057b3fe0b6daba73b8c66800b69a50/Segmentations.json), /tmp/hf-datasets-cache/medium/datasets/66249055984868-config-parquet-and-info-IVUlab-pixmmvp-ed4e745b/hub/datasets--IVUlab--pixmmvp/snapshots/2d2a87856e057b3fe0b6daba73b8c66800b69a50/visual_patterns.csv (origin=hf://datasets/IVUlab/pixmmvp@2d2a87856e057b3fe0b6daba73b8c66800b69a50/visual_patterns.csv)]
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.
Index
int64 | Object
string |
|---|---|
1
|
the butterfly's wings
|
2
|
the butterfly's wings
|
3
|
the flame of the match
|
4
|
the flame of the match
|
5
|
the dog's face
|
6
|
the dog's face
|
7
|
the school bus
|
8
|
the school bus
|
9
|
the key ""Z""
|
10
|
the key ""Z""
|
11
|
the peacock's tail
|
12
|
the peacock's tail
|
13
|
an ear of corn
|
14
|
an ear of corn
|
15
|
a shadow on the flower
|
16
|
a shadow on the flower
|
17
|
the front of the school bus
|
18
|
the front of the school bus
|
19
|
the dorsal fin of the animal
|
20
|
the dorsal fin of the animal
|
21
|
the duck's entire beak
|
22
|
the duck's entire beak
|
23
|
None
|
24
|
None
|
25
|
the chicken's body
|
26
|
the chicken's body
|
27
|
the peacock's head
|
28
|
the peacock's head
|
29
|
the window on the school bus
|
30
|
the window on the school bus
|
31
|
the flag
|
32
|
the flag
|
33
|
the butterfly's abdomen
|
34
|
the butterfly's abdomen
|
35
|
the vegetables with spikes
|
36
|
the vegetables with spikes
|
37
|
the flowers in the background
|
38
|
the flowers in the background
|
39
|
the duck
|
40
|
the duck
|
41
|
the spider's legs
|
42
|
the spider's legs
|
43
|
the wheels of the school bus
|
44
|
the wheels of the school bus
|
45
|
the shark's belly
|
46
|
the shark's belly
|
47
|
the spots on the animal
|
48
|
the spots on the animal
|
49
|
the arrow keys
|
50
|
the arrow keys
|
51
|
the elephant's trunk
|
52
|
the elephant's trunk
|
53
|
the pills
|
54
|
the pills
|
55
|
the stems of bananas
|
56
|
the stems of bananas
|
57
|
the crocodile
|
58
|
the crocodile
|
59
|
the lock
|
60
|
the lock
|
61
|
the letter ""J""
|
62
|
the letter ""J""
|
63
|
one daisy that is under the shadow of a taller daisy
|
64
|
one daisy that is under the shadow of a taller daisy
|
65
|
the letter D
|
66
|
the letter D
|
67
|
the clouds
|
68
|
the clouds
|
69
|
the snake's tongue
|
70
|
the snake's tongue
|
71
|
the lock
|
72
|
the lock
|
73
|
the ground
|
74
|
the ground
|
75
|
the flower
|
76
|
the flower
|
77
|
the caudal fin of the shark
|
78
|
the caudal fin of the shark
|
79
|
the snake's head
|
80
|
the snake's head
|
81
|
a hammerhead shark
|
82
|
a hammerhead shark
|
83
|
the door of the truck cab
|
84
|
the door of the truck cab
|
85
|
the ears of the dog
|
86
|
the ears of the dog
|
87
|
a hand using the mouse
|
88
|
a hand using the mouse
|
89
|
people
|
90
|
people
|
91
|
words on the vehicle's lightbar
|
92
|
words on the vehicle's lightbar
|
93
|
accessory on the wrists
|
94
|
accessory on the wrists
|
95
|
the spider web
|
96
|
the spider web
|
97
|
the keyboard
|
98
|
the keyboard
|
99
|
the elephant's tusks
|
100
|
the elephant's tusks
|
End of preview.