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squarefk
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fractal

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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 13 new columns ({'total_episodes', 'total_videos', 'codebase_version', 'video_path', 'chunks_size', 'total_chunks', 'total_tasks', 'features', 'splits', 'robot_type', 'total_frames', 'data_path', 'fps'}) and 3 missing columns ({'length', 'episode_index', 'tasks'}).

This happened while the json dataset builder was generating data using

hf://datasets/squarefk/fractal/meta/info.json (at revision 23650adfd388550959daf16d48f007ec0228d31d)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              codebase_version: string
              robot_type: string
              total_episodes: int64
              total_frames: int64
              total_tasks: int64
              total_videos: int64
              total_chunks: int64
              chunks_size: int64
              fps: int64
              splits: struct<train: string>
                child 0, train: string
              data_path: string
              video_path: string
              features: struct<observation.images.image_3: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, info: struct<video.fps: double, video.height: int64, video.width: int64, video.channels: int64, video.codec: string, video.pix_fmt: string, video.is_depth_map: bool, has_audio: bool>>, observation.images.image_2: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, info: struct<video.fps: double, video.height: int64, video.width: int64, video.channels: int64, video.codec: string, video.pix_fmt: string, video.is_depth_map: bool, has_audio: bool>>, observation.images.image_1: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, info: struct<video.fps: double, video.height: int64, video.width: int64, video.channels: int64, video.codec: string, video.pix_fmt: string, video.is_depth_map: bool, has_audio: bool>>, observation.images.image_0: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, info: struct<video.fps: double, video.height: int64, video.width: int64, video.channels: int64, video.codec: string, video.pix_fmt: string, video.is_depth_map: bool, has_audio: bool>>, observation.state: struct<dtype: string, shape: list<item: int64
              ...
              <item: string>>
                        child 0, motors: list<item: string>
                            child 0, item: string
                child 5, action: struct<dtype: string, shape: list<item: int64>, names: struct<motors: list<item: string>>>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: struct<motors: list<item: string>>
                        child 0, motors: list<item: string>
                            child 0, item: string
                child 6, timestamp: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
                child 7, frame_index: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
                child 8, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
                child 9, index: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
                child 10, task_index: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
              to
              {'episode_index': Value('int64'), 'tasks': List(Value('string')), 'length': Value('int64')}
              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 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, 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 1833, 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 13 new columns ({'total_episodes', 'total_videos', 'codebase_version', 'video_path', 'chunks_size', 'total_chunks', 'total_tasks', 'features', 'splits', 'robot_type', 'total_frames', 'data_path', 'fps'}) and 3 missing columns ({'length', 'episode_index', 'tasks'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/squarefk/fractal/meta/info.json (at revision 23650adfd388550959daf16d48f007ec0228d31d)
              
              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.

episode_index
int64
tasks
list
length
int64
0
[ "put small spoon from basket to tray" ]
26
1
[ "put the blue cube on the right side of the table on top of the rectangular block" ]
45
2
[ "put the red object into the pot" ]
45
3
[ "put the rectangle block on top of the red arch and yellow block" ]
46
4
[ "" ]
47
5
[ "take broccoli out of pan" ]
25
6
[ "Picked the piece of chocolate and put it into the drawer" ]
45
7
[ "Move the blue fork to the lower right burner" ]
31
8
[ "open the drawer" ]
32
9
[ "Move the can in the middle bottom of the table" ]
23
10
[ "end effector reaching pot or pan" ]
16
11
[ "bmbfbbfgjjg" ]
42
12
[ "" ]
47
13
[ "" ]
47
14
[ "move the silver pot to the lower right burner" ]
56
15
[ "sweep into pile" ]
87
16
[ "" ]
23
17
[ "" ]
46
18
[ "" ]
32
19
[ "move the pot put on the purple cloth" ]
37
20
[ "fold the cloth from bottom left to top right" ]
41
21
[ "end effector reaching stuffedrabbit" ]
16
22
[ "Put a hollow cylinder through a cylinder" ]
26
23
[ "fold from left to the right" ]
27
24
[ "" ]
47
25
[ "put broccoli in pot" ]
28
26
[ "take the yellow cube and move in to the left" ]
46
27
[ "" ]
23
28
[ "put a black figure on the top left corner of the cloth" ]
32
29
[ "Move the silver container and place it on the blue cloth." ]
36
30
[ "Put the blue fork on top of the napkin" ]
38
31
[ "" ]
32
32
[ "" ]
36
33
[ "" ]
47
34
[ "put clothes in laundry machine" ]
36
35
[ "move the triangular to right side of the table from the block." ]
45
36
[ "sweep into pile" ]
74
37
[ "move the silver pan to the burner on the bottom left" ]
35
38
[ "put spatula on cutting board" ]
29
39
[ "Put the yellow cloth to the left of the pot." ]
46
40
[ "close oven" ]
30
41
[ "" ]
31
42
[ "" ]
47
43
[ "" ]
47
44
[ "Place the pot on the blue cloth." ]
25
45
[ "fold the cloth from bottom left to top right" ]
43
46
[ "" ]
47
47
[ "close microwave" ]
36
48
[ "move green spoon on the bottom of the table" ]
46
49
[ "" ]
47
50
[ "take lid off pot" ]
36
51
[ "move the yellow brush to the right burner" ]
43
52
[ "open oven" ]
36
53
[ "Move the stirring spoon to the edge of the table." ]
46
54
[ "unfold the cloth from bottom to top" ]
30
55
[ "take broccoli out of pan" ]
36
56
[ "fold the cloth from bottom left to top right" ]
33
57
[ "the robotic arm did not move" ]
45
58
[ "put cup from anywhere into sink" ]
21
59
[ "end effector transition from object to object" ]
16
60
[ "open microwave" ]
36
61
[ "" ]
47
62
[ "put pot or pan on stove and put potato in pot or pan" ]
76
63
[ "Move the towel to the bottom left just under the pot" ]
29
64
[ "close microwave" ]
29
65
[ "moved the cloth to the top edge of the table" ]
26
66
[ "" ]
47
67
[ "" ]
47
68
[ "take broccoli out of pan" ]
36
69
[ "" ]
47
70
[ "" ]
48
71
[ "" ]
47
72
[ "" ]
47
73
[ "unfold the cloth from right to left" ]
39
74
[ "" ]
32
75
[ "" ]
42
76
[ "Open the drawer" ]
45
77
[ "move the cloth from bottom to top" ]
22
78
[ "put the rectangle block on top of the written rectangle block" ]
43
79
[ "fold the cloth from top left to bottom right" ]
36
80
[ "" ]
35
81
[ "put spatula in pan" ]
21
82
[ "" ]
47
83
[ "Put the potato inside the pot" ]
27
84
[ "move the silver pot to the upper right edge of the stove." ]
37
85
[ "Pick up the brush and place it on the left of the red fruit" ]
34
86
[ "fold the cloth from bottom left to top right" ]
33
87
[ "" ]
20
88
[ "put pear in bowl" ]
17
89
[ "move the orange cloth to the upper right of the table" ]
31
90
[ "" ]
47
91
[ "" ]
30
92
[ "Placed the orange object on top of the purple towel" ]
32
93
[ "remove yellow cube from the tower and place it on the table" ]
33
94
[ "" ]
31
95
[ "" ]
38
96
[ "put sushi on plate" ]
21
97
[ "Pick up the broccoli and place it on the blue cloth" ]
36
98
[ "close microwave" ]
36
99
[ "pick up the white object" ]
43
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