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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 ({'codebase_version', 'fps', 'total_videos', 'total_frames', 'total_tasks', 'features', 'robot_type', 'chunks_size', 'splits', 'video_path', 'data_path', 'total_episodes', 'total_chunks'}) and 3 missing columns ({'episode_index', 'length', 'tasks'}).
This happened while the json dataset builder was generating data using
hf://datasets/phospho-ai/bobololo/info.json (at revision 79fec651a75a3e4ac4f56a4c325bbe9885c9e92e)
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
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.image: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, video_info: struct<video.fps: 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>, names: struct<motors: list<item: string>>>, action: struct<dtype: string, shape: list<item: int64>, names: struct<motors: list<item: string>>>, observation.action: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>, frame_index: struct<dtype: string, shape: list<item: int64>, names: null>, timestamp: struct<dtype: string, shape: list<item: int64>, names: null>, next.reward: struct<dtype: string, shape: list<item: int64>, names: null>, next.done: struct<dtype: string, shape: list<item: int64>, names: null>, next.success: struct<dtype: string, shape: list<item: int64>, names: null>, index: struct<dtype: string, shape: list<item: int64>, names: null>, task_index: struct<dtype: string, shape: list<item: int64>, names: null>>
child 0, observation.image: struct<dtype: string, shape: list<item: int64>, names: list<item: s
...
child 2, names: null
child 5, 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 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, next.reward: 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, next.done: 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, next.success: 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, 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 11, 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(dtype='int64', id=None), 'tasks': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'length': 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 1417, 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 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 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 13 new columns ({'codebase_version', 'fps', 'total_videos', 'total_frames', 'total_tasks', 'features', 'robot_type', 'chunks_size', 'splits', 'video_path', 'data_path', 'total_episodes', 'total_chunks'}) and 3 missing columns ({'episode_index', 'length', 'tasks'}).
This happened while the json dataset builder was generating data using
hf://datasets/phospho-ai/bobololo/info.json (at revision 79fec651a75a3e4ac4f56a4c325bbe9885c9e92e)
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
sequence | length
int64 | 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
dict | data_path
string | video_path
string | features
dict | observation.state
sequence | observation.joints_position
sequence | observation.image
sequence | next.reward
int64 | next.done
float64 | next.success
float64 | timestamp
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | [
null
] | 19 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | v2.0 | so-100 | 1 | 19 | 1 | 1 | 1 | 1,000 | 10 | {
"train": "0:206"
} | data/episode_{episode_index:06d}.parquet | videos/{video_key}/episode_{episode_index:06d}.mp4 | {
"observation.image": {
"dtype": "video",
"shape": [
224,
224,
3
],
"names": [
"height",
"width",
"channel"
],
"video_info": {
"video.fps": 10,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"has_audio": false
}
},
"observation.state": {
"dtype": "float32",
"shape": [
6
],
"names": {
"motors": [
"motor_0",
"motor_1",
"motor_2",
"motor_3",
"motor_4",
"motor_5"
]
}
},
"action": {
"dtype": "float32",
"shape": [
6
],
"names": {
"motors": [
"motor_0",
"motor_1",
"motor_2",
"motor_3",
"motor_4",
"motor_5"
]
}
},
"observation.action": {
"dtype": "float32",
"shape": [
7
],
"names": [
"x",
"y",
"z",
"rx",
"ry",
"rz",
"gripper"
]
},
"episode_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"frame_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"timestamp": {
"dtype": "float32",
"shape": [
1
],
"names": null
},
"next.reward": {
"dtype": "float32",
"shape": [
1
],
"names": null
},
"next.done": {
"dtype": "bool",
"shape": [
1
],
"names": null
},
"next.success": {
"dtype": "bool",
"shape": [
1
],
"names": null
},
"index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"task_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
}
} | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [0.36274477839469904,0.025095846503973,0.228017330169677,0.03573540155339,0.067881497247121,2.871816(...TRUNCATED) | [0.015496049358753,0.379697650905781,-0.354303197897956,0.07218178988276601,0.015095044927927001,1.4(...TRUNCATED) | [[[91.0,102.0,111.0],[91.0,102.0,111.0],[92.0,103.0,111.0],[92.0,104.0,113.0],[94.0,105.0,114.0],[95(...TRUNCATED) | 0 | 1 | 1 | 3.186313 |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [0.36122296515264,0.023405455543022,0.225509375333786,-0.037000817274891004,0.049563681274915006,2.8(...TRUNCATED) | [0.010161662226542,0.366956194692842,-0.374039629668141,-0.021693204443779,-0.02320678925472,1.47902(...TRUNCATED) | [[[89.05263157894737,100.84210526315789,108.89473684210526],[89.84210526315789,101.21052631578948,10(...TRUNCATED) | 0 | 0.052632 | 0.052632 | 1.628738 |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [0.359442472457885,0.022078081965446,0.21177899837493802,-0.050908946535130006,-0.044982477826564005(...TRUNCATED) | [0.0059536928031500005,0.348738256377425,-0.38750822518954003,-0.039946763801139006,-0.0325681381913(...TRUNCATED) | [[[87.0,100.0,107.0],[89.0,100.0,107.0],[90.0,101.0,109.0],[91.0,101.0,110.0],[91.0,102.0,111.0],[92(...TRUNCATED) | 0 | 0 | 0 | 0.0721 |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [0.00102347406708,0.0009743924954460001,0.004350440048415,0.022886437139734,0.031187343237768003,0.0(...TRUNCATED) | [0.0030837381097380003,0.009896612828052001,0.010742139599822,0.03207757943069,0.012511822156119,0.0(...TRUNCATED) | [[[0.9444399181540191,0.5860804592452651,1.25214497403898],[0.5860804592452651,0.6137844099837151,1.(...TRUNCATED) | 0 | 0.223297 | 0.223297 | 0.947659 |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
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