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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 2 new columns ({'tasks', 'length'}) and 8 missing columns ({'frame_index', 'index', 'next.done', 'task_index', 'next.reward', 'observation.clock.clock', 'timestamp', 'next.success'}).
This happened while the json dataset builder was generating data using
hf://datasets/Sraghvi/subset-0-universal-lerobot/meta/episodes.json (at revision fda049139c831e7d83045d4e4511190a5e702a52)
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
episode_index: int64
tasks: list<item: int64>
child 0, item: int64
length: int64
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 439
to
{'index': Value('int64'), 'episode_index': Value('int64'), 'frame_index': Value('int64'), 'timestamp': Value('float64'), 'next.done': Value('bool'), 'next.reward': Value('int64'), 'next.success': Value('bool'), 'task_index': Value('int64'), 'observation.clock.clock': 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 2 new columns ({'tasks', 'length'}) and 8 missing columns ({'frame_index', 'index', 'next.done', 'task_index', 'next.reward', 'observation.clock.clock', 'timestamp', 'next.success'}).
This happened while the json dataset builder was generating data using
hf://datasets/Sraghvi/subset-0-universal-lerobot/meta/episodes.json (at revision fda049139c831e7d83045d4e4511190a5e702a52)
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 | episode_index int64 | frame_index int64 | timestamp float64 | next.done bool | next.reward int64 | next.success bool | task_index int64 | observation.clock.clock int64 |
|---|---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | false | 0 | false | 0 | 0 |
1 | 0 | 1 | 0.1 | false | 0 | false | 0 | 0 |
2 | 0 | 2 | 0.2 | false | 0 | false | 0 | 0 |
3 | 0 | 3 | 0.3 | false | 0 | false | 0 | 0 |
4 | 0 | 4 | 0.4 | false | 0 | false | 0 | 0 |
5 | 0 | 5 | 0.5 | false | 0 | false | 0 | 0 |
6 | 0 | 6 | 0.6 | false | 0 | false | 0 | 0 |
7 | 0 | 7 | 0.7 | false | 0 | false | 0 | 0 |
8 | 0 | 8 | 0.8 | false | 0 | false | 0 | 0 |
9 | 0 | 9 | 0.9 | false | 0 | false | 0 | 0 |
10 | 0 | 10 | 1 | false | 0 | false | 0 | 0 |
11 | 0 | 11 | 1.1 | false | 0 | false | 0 | 0 |
12 | 0 | 12 | 1.2 | false | 0 | false | 0 | 0 |
13 | 0 | 13 | 1.3 | false | 0 | false | 0 | 0 |
14 | 0 | 14 | 1.4 | false | 0 | false | 0 | 0 |
15 | 0 | 15 | 1.5 | false | 0 | false | 0 | 0 |
16 | 0 | 16 | 1.6 | false | 0 | false | 0 | 0 |
17 | 0 | 17 | 1.7 | false | 0 | false | 0 | 0 |
18 | 0 | 18 | 1.8 | false | 0 | false | 0 | 0 |
19 | 0 | 19 | 1.9 | false | 0 | false | 0 | 0 |
20 | 0 | 20 | 2 | false | 0 | false | 0 | 0 |
21 | 0 | 21 | 2.1 | false | 0 | false | 0 | 0 |
22 | 0 | 22 | 2.2 | false | 0 | false | 0 | 0 |
23 | 0 | 23 | 2.3 | false | 0 | false | 0 | 0 |
24 | 0 | 24 | 2.4 | false | 0 | false | 0 | 0 |
25 | 0 | 25 | 2.5 | false | 0 | false | 0 | 0 |
26 | 0 | 26 | 2.6 | false | 0 | false | 0 | 0 |
27 | 0 | 27 | 2.7 | false | 0 | false | 0 | 0 |
28 | 0 | 28 | 2.8 | false | 0 | false | 0 | 0 |
29 | 0 | 29 | 2.9 | false | 0 | false | 0 | 0 |
30 | 0 | 30 | 3 | false | 0 | false | 0 | 0 |
31 | 0 | 31 | 3.1 | false | 0 | false | 0 | 0 |
32 | 0 | 32 | 3.2 | false | 0 | false | 0 | 0 |
33 | 0 | 33 | 3.3 | false | 0 | false | 0 | 0 |
34 | 0 | 34 | 3.4 | false | 0 | false | 0 | 0 |
35 | 0 | 35 | 3.5 | false | 0 | false | 0 | 0 |
36 | 0 | 36 | 3.6 | false | 0 | false | 0 | 0 |
37 | 0 | 37 | 3.7 | false | 0 | false | 0 | 0 |
38 | 0 | 38 | 3.8 | false | 0 | false | 0 | 0 |
39 | 0 | 39 | 3.9 | false | 0 | false | 0 | 0 |
40 | 0 | 40 | 4 | false | 0 | false | 0 | 0 |
41 | 0 | 41 | 4.1 | false | 0 | false | 0 | 0 |
42 | 0 | 42 | 4.2 | false | 0 | false | 0 | 0 |
43 | 0 | 43 | 4.3 | false | 0 | false | 0 | 0 |
44 | 0 | 44 | 4.4 | false | 0 | false | 0 | 0 |
45 | 0 | 45 | 4.5 | false | 0 | false | 0 | 0 |
46 | 0 | 46 | 4.6 | false | 0 | false | 0 | 0 |
47 | 0 | 47 | 4.7 | false | 0 | false | 0 | 0 |
48 | 0 | 48 | 4.8 | false | 0 | false | 0 | 0 |
49 | 0 | 49 | 4.9 | false | 0 | false | 0 | 0 |
50 | 0 | 50 | 5 | false | 0 | false | 0 | 0 |
51 | 0 | 51 | 5.1 | false | 0 | false | 0 | 0 |
52 | 0 | 52 | 5.2 | false | 0 | false | 0 | 0 |
53 | 0 | 53 | 5.3 | false | 0 | false | 0 | 0 |
54 | 0 | 54 | 5.4 | false | 0 | false | 0 | 0 |
55 | 0 | 55 | 5.5 | false | 0 | false | 0 | 0 |
56 | 0 | 56 | 5.6 | false | 0 | false | 0 | 0 |
57 | 0 | 57 | 5.7 | false | 0 | false | 0 | 0 |
58 | 0 | 58 | 5.8 | false | 0 | false | 0 | 0 |
59 | 0 | 59 | 5.9 | false | 0 | false | 0 | 0 |
60 | 0 | 60 | 6 | false | 0 | false | 0 | 0 |
61 | 0 | 61 | 6.1 | false | 0 | false | 0 | 0 |
62 | 0 | 62 | 6.2 | false | 0 | false | 0 | 0 |
63 | 0 | 63 | 6.3 | false | 0 | false | 0 | 0 |
64 | 0 | 64 | 6.4 | false | 0 | false | 0 | 0 |
65 | 0 | 65 | 6.5 | false | 0 | false | 0 | 0 |
66 | 0 | 66 | 6.6 | false | 0 | false | 0 | 0 |
67 | 0 | 67 | 6.7 | false | 0 | false | 0 | 0 |
68 | 0 | 68 | 6.8 | false | 0 | false | 0 | 0 |
69 | 0 | 69 | 6.9 | false | 0 | false | 0 | 0 |
70 | 0 | 70 | 7 | false | 0 | false | 0 | 0 |
71 | 0 | 71 | 7.1 | false | 0 | false | 0 | 0 |
72 | 0 | 72 | 7.2 | false | 0 | false | 0 | 0 |
73 | 0 | 73 | 7.3 | false | 0 | false | 0 | 0 |
74 | 0 | 74 | 7.4 | false | 0 | false | 0 | 0 |
75 | 0 | 75 | 7.5 | false | 0 | false | 0 | 0 |
76 | 0 | 76 | 7.6 | false | 0 | false | 0 | 0 |
77 | 0 | 77 | 7.7 | false | 0 | false | 0 | 0 |
78 | 0 | 78 | 7.8 | false | 0 | false | 0 | 0 |
79 | 0 | 79 | 7.9 | false | 0 | false | 0 | 0 |
80 | 0 | 80 | 8 | false | 0 | false | 0 | 0 |
81 | 0 | 81 | 8.1 | false | 0 | false | 0 | 0 |
82 | 0 | 82 | 8.2 | false | 0 | false | 0 | 0 |
83 | 0 | 83 | 8.3 | false | 0 | false | 0 | 0 |
84 | 0 | 84 | 8.4 | false | 0 | false | 0 | 0 |
85 | 0 | 85 | 8.5 | false | 0 | false | 0 | 0 |
86 | 0 | 86 | 8.6 | false | 0 | false | 0 | 0 |
87 | 0 | 87 | 8.7 | false | 0 | false | 0 | 0 |
88 | 0 | 88 | 8.8 | false | 0 | false | 0 | 0 |
89 | 0 | 89 | 8.9 | false | 0 | false | 0 | 0 |
90 | 0 | 90 | 9 | false | 0 | false | 0 | 0 |
91 | 0 | 91 | 9.1 | false | 0 | false | 0 | 0 |
92 | 0 | 92 | 9.2 | false | 0 | false | 0 | 0 |
93 | 0 | 93 | 9.3 | false | 0 | false | 0 | 0 |
94 | 0 | 94 | 9.4 | false | 0 | false | 0 | 0 |
95 | 0 | 95 | 9.5 | false | 0 | false | 0 | 0 |
96 | 0 | 96 | 9.6 | false | 0 | false | 0 | 0 |
97 | 0 | 97 | 9.7 | false | 0 | false | 0 | 0 |
98 | 0 | 98 | 9.8 | false | 0 | false | 0 | 0 |
99 | 0 | 99 | 9.9 | false | 0 | false | 0 | 0 |
End of preview.