Dataset Preview
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 10 new columns ({'gx', 'ay', 'timestamp', 'az', 'Label3', 'Label2', 'Label1', 'ax', 'gy', 'gz'}) and 5 missing columns ({'2023-05-12 23:09:08 +0530.1', '110', '2023-05-12 23:12:26 +0530', '2023-05-12 23:09:08 +0530', 'count/min'}).
This happened while the csv dataset builder was generating data using
hf://datasets/chughgarvit/NeuroMotion/code with dataset/imu/P1.csv (at revision 780633d0a7f658456b10b8fae2123b6897d788a6)
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 643, 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
timestamp: double
ax: int64
ay: int64
az: int64
gx: int64
gy: int64
gz: int64
Label1: int64
Label2: int64
Label3: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1315
to
{'count/min': Value(dtype='string', id=None), '2023-05-12 23:12:26 +0530': Value(dtype='string', id=None), '2023-05-12 23:09:08 +0530': Value(dtype='string', id=None), '2023-05-12 23:09:08 +0530.1': Value(dtype='string', id=None), '110': Value(dtype='float64', 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 1433, 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 10 new columns ({'gx', 'ay', 'timestamp', 'az', 'Label3', 'Label2', 'Label1', 'ax', 'gy', 'gz'}) and 5 missing columns ({'2023-05-12 23:09:08 +0530.1', '110', '2023-05-12 23:12:26 +0530', '2023-05-12 23:09:08 +0530', 'count/min'}).
This happened while the csv dataset builder was generating data using
hf://datasets/chughgarvit/NeuroMotion/code with dataset/imu/P1.csv (at revision 780633d0a7f658456b10b8fae2123b6897d788a6)
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.
count/min string | 2023-05-12 23:12:26 +0530 string | 2023-05-12 23:09:08 +0530 string | 2023-05-12 23:09:08 +0530.1 string | 110 float64 |
|---|---|---|---|---|
count/min | 2023-05-12 23:16:53 +0530 | 2023-05-12 23:11:21 +0530 | 2023-05-12 23:11:21 +0530 | 120 |
count/min | 2023-05-13 00:28:51 +0530 | 2023-05-13 00:14:28 +0530 | 2023-05-13 00:14:28 +0530 | 68 |
count/min | 2023-05-13 02:40:36 +0530 | 2023-05-13 02:40:35 +0530 | 2023-05-13 02:40:35 +0530 | 74 |
count/min | 2023-05-13 02:40:41 +0530 | 2023-05-13 02:40:40 +0530 | 2023-05-13 02:40:40 +0530 | 73 |
count/min | 2023-05-13 02:40:46 +0530 | 2023-05-13 02:40:44 +0530 | 2023-05-13 02:40:44 +0530 | 72 |
count/min | 2023-05-13 02:40:51 +0530 | 2023-05-13 02:40:47 +0530 | 2023-05-13 02:40:47 +0530 | 72 |
count/min | 2023-05-13 02:40:56 +0530 | 2023-05-13 02:40:51 +0530 | 2023-05-13 02:40:51 +0530 | 73 |
count/min | 2023-05-13 02:41:01 +0530 | 2023-05-13 02:40:56 +0530 | 2023-05-13 02:40:56 +0530 | 73 |
count/min | 2023-05-13 02:41:06 +0530 | 2023-05-13 02:41:03 +0530 | 2023-05-13 02:41:03 +0530 | 74 |
count/min | 2023-05-13 02:41:11 +0530 | 2023-05-13 02:41:10 +0530 | 2023-05-13 02:41:10 +0530 | 75 |
count/min | 2023-05-13 02:41:16 +0530 | 2023-05-13 02:41:13 +0530 | 2023-05-13 02:41:13 +0530 | 75 |
count/min | 2023-05-13 02:41:21 +0530 | 2023-05-13 02:41:20 +0530 | 2023-05-13 02:41:20 +0530 | 75 |
count/min | 2023-05-13 02:41:26 +0530 | 2023-05-13 02:41:23 +0530 | 2023-05-13 02:41:23 +0530 | 75 |
count/min | 2023-05-13 02:41:31 +0530 | 2023-05-13 02:41:29 +0530 | 2023-05-13 02:41:29 +0530 | 76 |
count/min | 2023-05-13 02:41:36 +0530 | 2023-05-13 02:41:34 +0530 | 2023-05-13 02:41:34 +0530 | 77 |
count/min | 2023-05-13 02:41:41 +0530 | 2023-05-13 02:41:39 +0530 | 2023-05-13 02:41:39 +0530 | 77 |
count/min | 2023-05-13 02:41:46 +0530 | 2023-05-13 02:41:44 +0530 | 2023-05-13 02:41:44 +0530 | 76 |
count/min | 2023-05-13 02:41:51 +0530 | 2023-05-13 02:41:50 +0530 | 2023-05-13 02:41:50 +0530 | 75 |
count/min | 2023-05-13 02:41:56 +0530 | 2023-05-13 02:41:54 +0530 | 2023-05-13 02:41:54 +0530 | 75 |
count/min | 2023-05-13 02:42:01 +0530 | 2023-05-13 02:42:00 +0530 | 2023-05-13 02:42:00 +0530 | 75 |
count/min | 2023-05-13 02:42:06 +0530 | 2023-05-13 02:42:01 +0530 | 2023-05-13 02:42:01 +0530 | 75 |
count/min | 2023-05-13 02:42:11 +0530 | 2023-05-13 02:42:06 +0530 | 2023-05-13 02:42:06 +0530 | 75 |
count/min | 2023-05-13 02:42:16 +0530 | 2023-05-13 02:42:15 +0530 | 2023-05-13 02:42:15 +0530 | 76 |
count/min | 2023-05-13 02:42:21 +0530 | 2023-05-13 02:42:18 +0530 | 2023-05-13 02:42:18 +0530 | 75 |
count/min | 2023-05-13 02:42:26 +0530 | 2023-05-13 02:42:24 +0530 | 2023-05-13 02:42:24 +0530 | 76 |
count/min | 2023-05-13 02:42:31 +0530 | 2023-05-13 02:42:29 +0530 | 2023-05-13 02:42:29 +0530 | 75 |
count/min | 2023-05-13 02:42:36 +0530 | 2023-05-13 02:42:35 +0530 | 2023-05-13 02:42:35 +0530 | 73 |
count/min | 2023-05-13 02:42:41 +0530 | 2023-05-13 02:42:39 +0530 | 2023-05-13 02:42:39 +0530 | 74 |
count/min | 2023-05-13 02:42:46 +0530 | 2023-05-13 02:42:43 +0530 | 2023-05-13 02:42:43 +0530 | 74 |
count/min | 2023-05-13 02:42:51 +0530 | 2023-05-13 02:42:50 +0530 | 2023-05-13 02:42:50 +0530 | 75 |
count/min | 2023-05-13 02:42:57 +0530 | 2023-05-13 02:42:56 +0530 | 2023-05-13 02:42:56 +0530 | 75 |
count/min | 2023-05-13 02:43:02 +0530 | 2023-05-13 02:42:58 +0530 | 2023-05-13 02:42:58 +0530 | 75 |
count/min | 2023-05-13 02:43:07 +0530 | 2023-05-13 02:43:05 +0530 | 2023-05-13 02:43:05 +0530 | 74 |
count/min | 2023-05-13 02:43:12 +0530 | 2023-05-13 02:43:11 +0530 | 2023-05-13 02:43:11 +0530 | 73 |
count/min | 2023-05-13 02:43:17 +0530 | 2023-05-13 02:43:16 +0530 | 2023-05-13 02:43:16 +0530 | 73 |
count/min | 2023-05-13 02:43:20 +0530 | 2023-05-13 02:43:20 +0530 | 2023-05-13 02:43:20 +0530 | 73 |
count/min | 2023-05-13 02:43:23 +0530 | 2023-05-13 02:43:18 +0530 | 2023-05-13 02:43:18 +0530 | 73 |
count/min | 2023-05-13 02:43:28 +0530 | 2023-05-13 02:43:23 +0530 | 2023-05-13 02:43:23 +0530 | 73 |
count/min | 2023-05-13 02:44:01 +0530 | 2023-05-13 02:39:54 +0530 | 2023-05-13 02:39:54 +0530 | 73 |
count/min | 2023-05-13 02:45:50 +0530 | 2023-05-13 02:45:49 +0530 | 2023-05-13 02:45:49 +0530 | 75 |
count/min | 2023-05-13 02:45:53 +0530 | 2023-05-13 02:44:41 +0530 | 2023-05-13 02:44:41 +0530 | 71.7778 |
count/min | 2023-05-13 02:45:55 +0530 | 2023-05-13 02:45:54 +0530 | 2023-05-13 02:45:54 +0530 | 73 |
count/min | 2023-05-13 02:46:00 +0530 | 2023-05-13 02:45:59 +0530 | 2023-05-13 02:45:59 +0530 | 72 |
count/min | 2023-05-13 02:46:05 +0530 | 2023-05-13 02:46:00 +0530 | 2023-05-13 02:46:00 +0530 | 72 |
count/min | 2023-05-13 02:46:10 +0530 | 2023-05-13 02:46:06 +0530 | 2023-05-13 02:46:06 +0530 | 72 |
count/min | 2023-05-13 02:46:15 +0530 | 2023-05-13 02:46:14 +0530 | 2023-05-13 02:46:14 +0530 | 73 |
count/min | 2023-05-13 02:46:20 +0530 | 2023-05-13 02:46:19 +0530 | 2023-05-13 02:46:19 +0530 | 73 |
count/min | 2023-05-13 02:46:25 +0530 | 2023-05-13 02:46:24 +0530 | 2023-05-13 02:46:24 +0530 | 72 |
count/min | 2023-05-13 02:46:30 +0530 | 2023-05-13 02:46:25 +0530 | 2023-05-13 02:46:25 +0530 | 72 |
count/min | 2023-05-13 02:46:35 +0530 | 2023-05-13 02:46:31 +0530 | 2023-05-13 02:46:31 +0530 | 73 |
count/min | 2023-05-13 02:46:40 +0530 | 2023-05-13 02:46:39 +0530 | 2023-05-13 02:46:39 +0530 | 74 |
count/min | 2023-05-13 02:46:45 +0530 | 2023-05-13 02:46:43 +0530 | 2023-05-13 02:46:43 +0530 | 74 |
count/min | 2023-05-13 02:46:50 +0530 | 2023-05-13 02:46:45 +0530 | 2023-05-13 02:46:45 +0530 | 74 |
count/min | 2023-05-13 02:46:55 +0530 | 2023-05-13 02:46:54 +0530 | 2023-05-13 02:46:54 +0530 | 73 |
count/min | 2023-05-13 02:47:00 +0530 | 2023-05-13 02:46:56 +0530 | 2023-05-13 02:46:56 +0530 | 73 |
count/min | 2023-05-13 02:47:05 +0530 | 2023-05-13 02:47:00 +0530 | 2023-05-13 02:47:00 +0530 | 73 |
count/min | 2023-05-13 02:47:10 +0530 | 2023-05-13 02:47:06 +0530 | 2023-05-13 02:47:06 +0530 | 72 |
count/min | 2023-05-13 02:47:15 +0530 | 2023-05-13 02:47:10 +0530 | 2023-05-13 02:47:10 +0530 | 75 |
count/min | 2023-05-13 02:47:20 +0530 | 2023-05-13 02:47:19 +0530 | 2023-05-13 02:47:19 +0530 | 101 |
count/min | 2023-05-13 02:47:25 +0530 | 2023-05-13 02:47:22 +0530 | 2023-05-13 02:47:22 +0530 | 105 |
count/min | 2023-05-13 02:47:30 +0530 | 2023-05-13 02:47:26 +0530 | 2023-05-13 02:47:26 +0530 | 98 |
count/min | 2023-05-13 02:47:35 +0530 | 2023-05-13 02:47:34 +0530 | 2023-05-13 02:47:34 +0530 | 81 |
count/min | 2023-05-13 02:47:40 +0530 | 2023-05-13 02:47:39 +0530 | 2023-05-13 02:47:39 +0530 | 80 |
count/min | 2023-05-13 02:47:45 +0530 | 2023-05-13 02:47:43 +0530 | 2023-05-13 02:47:43 +0530 | 78 |
count/min | 2023-05-13 02:47:50 +0530 | 2023-05-13 02:47:49 +0530 | 2023-05-13 02:47:49 +0530 | 77 |
count/min | 2023-05-13 02:47:55 +0530 | 2023-05-13 02:47:50 +0530 | 2023-05-13 02:47:50 +0530 | 77 |
count/min | 2023-05-13 02:48:00 +0530 | 2023-05-13 02:47:59 +0530 | 2023-05-13 02:47:59 +0530 | 82 |
count/min | 2023-05-13 02:48:05 +0530 | 2023-05-13 02:48:03 +0530 | 2023-05-13 02:48:03 +0530 | 80 |
count/min | 2023-05-13 02:48:10 +0530 | 2023-05-13 02:48:08 +0530 | 2023-05-13 02:48:08 +0530 | 79 |
count/min | 2023-05-13 02:48:15 +0530 | 2023-05-13 02:48:10 +0530 | 2023-05-13 02:48:10 +0530 | 79 |
count/min | 2023-05-13 02:48:20 +0530 | 2023-05-13 02:48:19 +0530 | 2023-05-13 02:48:19 +0530 | 75 |
count/min | 2023-05-13 02:48:25 +0530 | 2023-05-13 02:48:20 +0530 | 2023-05-13 02:48:20 +0530 | 75 |
count/min | 2023-05-13 02:48:30 +0530 | 2023-05-13 02:48:29 +0530 | 2023-05-13 02:48:29 +0530 | 81 |
count/min | 2023-05-13 02:48:35 +0530 | 2023-05-13 02:48:30 +0530 | 2023-05-13 02:48:30 +0530 | 81 |
count/min | 2023-05-13 02:48:40 +0530 | 2023-05-13 02:48:38 +0530 | 2023-05-13 02:48:38 +0530 | 79 |
count/min | 2023-05-13 02:49:05 +0530 | 2023-05-13 02:44:48 +0530 | 2023-05-13 02:44:48 +0530 | 72 |
count/min | 2023-05-13 02:52:00 +0530 | 2023-05-13 02:49:09 +0530 | 2023-05-13 02:49:09 +0530 | 73 |
count/min | 2023-05-13 02:54:17 +0530 | 2023-05-13 02:53:15 +0530 | 2023-05-13 02:53:15 +0530 | 67.293 |
count/min | 2023-05-13 02:56:37 +0530 | 2023-05-13 02:54:26 +0530 | 2023-05-13 02:54:26 +0530 | 68 |
count/min | 2023-05-13 03:01:25 +0530 | 2023-05-13 02:59:22 +0530 | 2023-05-13 02:59:22 +0530 | 69 |
count/min | 2023-05-13 03:06:25 +0530 | 2023-05-13 03:01:19 +0530 | 2023-05-13 03:01:19 +0530 | 71 |
count/min | 2023-05-13 03:11:25 +0530 | 2023-05-13 03:07:18 +0530 | 2023-05-13 03:07:18 +0530 | 67 |
count/min | 2023-05-13 03:16:24 +0530 | 2023-05-13 03:15:23 +0530 | 2023-05-13 03:15:23 +0530 | 71 |
count/min | 2023-05-13 03:21:21 +0530 | 2023-05-13 03:17:56 +0530 | 2023-05-13 03:17:56 +0530 | 68 |
count/min | 2023-05-13 03:27:39 +0530 | 2023-05-13 03:21:24 +0530 | 2023-05-13 03:21:24 +0530 | 68 |
count/min | 2023-05-13 03:31:27 +0530 | 2023-05-13 03:28:27 +0530 | 2023-05-13 03:28:27 +0530 | 71 |
count/min | 2023-05-13 03:36:27 +0530 | 2023-05-13 03:34:25 +0530 | 2023-05-13 03:34:25 +0530 | 67 |
count/min | 2023-05-13 03:41:25 +0530 | 2023-05-13 03:37:30 +0530 | 2023-05-13 03:37:30 +0530 | 67 |
count/min | 2023-05-13 03:46:25 +0530 | 2023-05-13 03:43:21 +0530 | 2023-05-13 03:43:21 +0530 | 68 |
count/min | 2023-05-13 03:51:27 +0530 | 2023-05-13 03:47:16 +0530 | 2023-05-13 03:47:16 +0530 | 67 |
count/min | 2023-05-13 03:56:27 +0530 | 2023-05-13 03:52:40 +0530 | 2023-05-13 03:52:40 +0530 | 67 |
count/min | 2023-05-13 04:01:27 +0530 | 2023-05-13 03:59:47 +0530 | 2023-05-13 03:59:47 +0530 | 66 |
count/min | 2023-05-13 04:06:27 +0530 | 2023-05-13 04:01:21 +0530 | 2023-05-13 04:01:21 +0530 | 66 |
count/min | 2023-05-13 04:11:25 +0530 | 2023-05-13 04:07:56 +0530 | 2023-05-13 04:07:56 +0530 | 69 |
count/min | 2023-05-13 04:16:35 +0530 | 2023-05-13 04:15:28 +0530 | 2023-05-13 04:15:28 +0530 | 68 |
count/min | 2023-05-13 04:21:26 +0530 | 2023-05-13 04:16:51 +0530 | 2023-05-13 04:16:51 +0530 | 68 |
count/min | 2023-05-13 04:26:24 +0530 | 2023-05-13 04:22:04 +0530 | 2023-05-13 04:22:04 +0530 | 64 |
count/min | 2023-05-13 04:31:24 +0530 | 2023-05-13 04:26:18 +0530 | 2023-05-13 04:26:18 +0530 | 63 |
count/min | 2023-05-13 04:36:25 +0530 | 2023-05-13 04:32:45 +0530 | 2023-05-13 04:32:45 +0530 | 63 |
count/min | 2023-05-13 04:41:28 +0530 | 2023-05-13 04:37:27 +0530 | 2023-05-13 04:37:27 +0530 | 60 |
End of preview.
README.md exists but content is empty.
- Downloads last month
- 29