Datasets:

mphielipp
/

CombinedCandyDataset

Dataset card Data Studio Files Files and versions Community

Dataset Preview

Split (1)

train

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 15 new columns ({'total_tasks', 'total_chunks', 'fps', 'features', 'total_frames', 'total_episodes', 'video_path', 'description', 'citation', 'data_path', 'codebase_version', 'total_videos', 'robot_type', 'chunks_size', 'splits'}) and 4 missing columns ({'episode_index', 'tasks', 'length', 'task_index'}).

This happened while the json dataset builder was generating data using

hf://datasets/mphielipp/CombinedCandyDataset/meta/info.json (at revision f7cc7b2a9daca982e5346900d1f7d64df47d3ba9)

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 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, 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 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, 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.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>, action: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>, observation.image.head: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>, observation.image.wrist_right: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>, timestamp: struct<dtype: string, shape: list<item: int64>, names: null>, frame_index: struct<dtype: string, shape: list<item: int64>, names: null>, episode_index: 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.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: list<item: string>
                        child 0, item: string
                child 1, action: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, it
              ...
              ist<item: int64>
                        child 0, item: int64
                    child 2, names: list<item: string>
                        child 0, item: string
                child 3, observation.image.wrist_right: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: list<item: string>
                        child 0, item: string
                child 4, 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 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, 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 7, 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, 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
              description: string
              citation: string
              to
              {'episode_index': Value(dtype='int64', id=None), 'tasks': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'length': Value(dtype='int64', id=None), 'task_index': 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 1438, 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 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 15 new columns ({'total_tasks', 'total_chunks', 'fps', 'features', 'total_frames', 'total_episodes', 'video_path', 'description', 'citation', 'data_path', 'codebase_version', 'total_videos', 'robot_type', 'chunks_size', 'splits'}) and 4 missing columns ({'episode_index', 'tasks', 'length', 'task_index'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/mphielipp/CombinedCandyDataset/meta/info.json (at revision f7cc7b2a9daca982e5346900d1f7d64df47d3ba9)
              
              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	task_index null
0	[ "2025_04_21-10_26_19" ]	272	null
1	[ "2025_04_21-10_27_41" ]	252	null
2	[ "2025_04_21-10_28_31" ]	213	null
3	[ "2025_04_21-10_29_12" ]	198	null
4	[ "2025_04_21-10_29_45" ]	216	null
5	[ "2025_04_21-10_30_19" ]	239	null
6	[ "2025_04_21-10_30_57" ]	204	null
7	[ "2025_04_21-10_31_33" ]	209	null
8	[ "2025_04_21-10_32_09" ]	263	null
9	[ "2025_04_21-10_32_42" ]	235	null
10	[ "2025_04_21-10_33_17" ]	251	null
11	[ "2025_04_21-10_33_56" ]	262	null
12	[ "2025_04_21-10_34_30" ]	265	null
13	[ "2025_04_21-10_35_24" ]	235	null
14	[ "2025_04_21-10_36_00" ]	280	null
15	[ "2025_04_21-10_36_32" ]	247	null
16	[ "2025_04_21-10_37_13" ]	284	null
17	[ "2025_04_21-10_37_53" ]	419	null
18	[ "2025_04_21-10_39_27" ]	292	null
19	[ "2025_04_21-10_41_57" ]	245	null
20	[ "2025_04_21-10_42_34" ]	237	null
21	[ "2025_04_21-10_43_15" ]	257	null
22	[ "2025_04_21-10_43_52" ]	242	null
23	[ "2025_04_21-10_44_31" ]	234	null
24	[ "2025_04_21-10_44_58" ]	264	null
25	[ "2025_04_21-10_45_39" ]	248	null
26	[ "2025_04_21-10_47_11" ]	285	null
27	[ "2025_04_21-10_47_48" ]	257	null
28	[ "2025_04_21-10_48_40" ]	232	null
29	[ "2025_04_21-10_49_17" ]	274	null
30	[ "2025_04_21-10_50_05" ]	247	null
31	[ "2025_04_21-10_50_49" ]	294	null
32	[ "2025_04_21-10_52_05" ]	290	null
33	[ "2025_04_21-10_52_47" ]	274	null
34	[ "2025_04_21-10_53_54" ]	299	null
35	[ "2025_04_21-10_54_31" ]	297	null
36	[ "2025_04_21-10_55_21" ]	308	null
37	[ "2025_04_21-10_55_58" ]	312	null
38	[ "2025_04_21-10_59_39" ]	284	null
39	[ "2025_04_21-11_00_19" ]	256	null
40	[ "2025_04_21-11_00_49" ]	296	null
41	[ "2025_04_21-11_01_27" ]	270	null
42	[ "2025_04_21-11_02_16" ]	231	null
43	[ "2025_04_21-11_03_11" ]	238	null
44	[ "2025_04_21-11_03_51" ]	254	null
45	[ "2025_04_21-11_04_21" ]	311	null
46	[ "2025_04_21-11_05_47" ]	281	null
47	[ "2025_04_21-11_06_37" ]	287	null
48	[ "2025_04_21-11_07_20" ]	306	null
49	[ "2025_04_21-11_09_06" ]	300	null
50	[ "2025_04_21-11_09_54" ]	299	null
51	[ "2025_04_21-11_10_32" ]	278	null
52	[ "2025_04_21-11_11_13" ]	334	null
53	[ "2025_04_21-11_12_04" ]	317	null
54	[ "2025_04_21-11_12_44" ]	314	null
55	[ "2025_04_21-11_13_22" ]	318	null
56	[ "2025_04_21-11_14_07" ]	300	null
57	[ "2025_04_21-11_18_29" ]	310	null
58	[ "2025_04_21-11_20_18" ]	243	null
59	[ "2025_04_21-11_20_52" ]	245	null
60	[ "2025_04_21-11_21_26" ]	280	null
61	[ "2025_04_21-11_22_25" ]	281	null
62	[ "2025_04_21-11_23_05" ]	246	null
63	[ "2025_04_21-11_23_37" ]	228	null
64	[ "2025_04_21-11_24_10" ]	257	null
65	[ "2025_04_21-11_26_13" ]	278	null
66	[ "2025_04_21-11_26_42" ]	273	null
67	[ "2025_04_21-11_27_13" ]	257	null
68	[ "2025_04_21-11_27_48" ]	265	null
69	[ "2025_04_21-11_28_25" ]	252	null
70	[ "2025_04_21-11_29_27" ]	275	null
71	[ "2025_04_21-11_30_02" ]	286	null
72	[ "2025_04_21-11_30_33" ]	281	null
73	[ "2025_04_21-11_31_05" ]	285	null
74	[ "2025_04_21-11_31_43" ]	301	null
75	[ "2025_04_21-11_32_18" ]	297	null
76	[ "2025_04_21-11_35_22" ]	257	null
77	[ "2025_04_21-11_36_08" ]	264	null
78	[ "2025_04_21-11_36_40" ]	271	null
79	[ "2025_04_21-11_37_56" ]	250	null
80	[ "2025_04_21-11_38_27" ]	257	null
81	[ "2025_04_21-11_39_00" ]	249	null
82	[ "2025_04_21-11_39_29" ]	227	null
83	[ "2025_04_21-11_40_01" ]	242	null
84	[ "2025_04_21-11_41_11" ]	239	null
85	[ "2025_04_21-11_41_51" ]	267	null
86	[ "2025_04_21-11_42_24" ]	263	null
87	[ "2025_04_21-11_43_23" ]	298	null
88	[ "2025_04_21-11_44_03" ]	290	null
89	[ "2025_04_21-11_44_47" ]	265	null
90	[ "2025_04_21-11_45_25" ]	253	null
91	[ "2025_04_21-11_46_15" ]	295	null
92	[ "2025_04_21-11_46_51" ]	266	null
93	[ "2025_04_21-11_47_22" ]	264	null
94	[ "2025_04_21-11_47_52" ]	281	null
95	[ "2025_04_21-11_50_55" ]	295	null
96	[ "2025_04_21-11_52_21" ]	232	null
97	[ "2025_04_21-11_52_55" ]	259	null
98	[ "2025_04_21-11_53_23" ]	265	null
99	[ "2025_04_21-11_53_54" ]	221	null

End of preview.

No dataset card yet

Downloads last month: 31