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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 3 new columns ({'GyroX', 'GyroZ', 'GyroY'}) and 3 missing columns ({'AcclZ', 'AcclX', 'AcclY'}).
This happened while the csv dataset builder was generating data using
hf://datasets/awsaf49/epic_kitchens_100/P01/meta_data/P01_101-gyro.csv (at revision c5e573b9295c06bd6d14bd5a9b9c7b178f00d7b1)
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
Milliseconds: double
GyroX: double
GyroY: double
GyroZ: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 721
to
{'Milliseconds': Value(dtype='float64', id=None), 'AcclX': Value(dtype='float64', id=None), 'AcclY': Value(dtype='float64', id=None), 'AcclZ': 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 1412, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 988, in stream_convert_to_parquet
builder._prepare_split(
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 3 new columns ({'GyroX', 'GyroZ', 'GyroY'}) and 3 missing columns ({'AcclZ', 'AcclX', 'AcclY'}).
This happened while the csv dataset builder was generating data using
hf://datasets/awsaf49/epic_kitchens_100/P01/meta_data/P01_101-gyro.csv (at revision c5e573b9295c06bd6d14bd5a9b9c7b178f00d7b1)
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.
Milliseconds
float64 | AcclX
float64 | AcclY
float64 | AcclZ
float64 |
|---|---|---|---|
0 | 8.055024 | -0.389952 | 5.576555 |
5.128205 | 7.997608 | -0.313397 | 5.586124 |
10.25641 | 7.988038 | -0.313397 | 5.566986 |
15.384615 | 8.007177 | -0.313397 | 5.614833 |
20.512821 | 8.045455 | -0.313397 | 5.672249 |
25.641026 | 8.160287 | -0.447368 | 5.767943 |
30.769231 | 8.255981 | -0.562201 | 5.80622 |
35.897436 | 8.332536 | -0.619617 | 5.815789 |
41.025641 | 8.342105 | -0.73445 | 5.825359 |
46.153846 | 8.26555 | -0.772727 | 5.815789 |
51.282051 | 8.227273 | -0.830144 | 5.882775 |
56.410256 | 8.255981 | -0.820574 | 5.892344 |
61.538462 | 8.208134 | -0.763158 | 5.873206 |
66.666667 | 8.255981 | -0.667464 | 5.988038 |
71.794872 | 8.236842 | -0.629187 | 5.997608 |
76.923077 | 8.227273 | -0.523923 | 5.988038 |
82.051282 | 8.055024 | -0.351675 | 5.940191 |
87.179487 | 8.016746 | -0.227273 | 5.892344 |
92.307692 | 7.882775 | -0.102871 | 5.863636 |
97.435897 | 7.863636 | 0.007177 | 5.873206 |
102.564103 | 7.844498 | 0.169856 | 5.825359 |
107.692308 | 7.815789 | 0.236842 | 5.873206 |
112.820513 | 7.834928 | 0.255981 | 5.834928 |
117.948718 | 7.80622 | 0.322967 | 5.873206 |
123.076923 | 7.863636 | 0.351675 | 5.930622 |
128.205128 | 7.901914 | 0.370813 | 5.988038 |
133.333333 | 8.045455 | 0.351675 | 6.055024 |
138.461538 | 8.160287 | 0.351675 | 6.131579 |
143.589744 | 8.284689 | 0.361244 | 6.198565 |
148.717949 | 8.294258 | 0.41866 | 6.179426 |
153.846154 | 8.313397 | 0.495215 | 6.141148 |
158.974359 | 8.179426 | 0.648325 | 5.95933 |
164.102564 | 8.102871 | 0.73445 | 5.873206 |
169.230769 | 8.026316 | 0.801435 | 5.796651 |
174.358974 | 7.921053 | 0.925837 | 5.691388 |
179.487179 | 7.854067 | 1.021531 | 5.614833 |
184.615385 | 7.834928 | 1.078947 | 5.605263 |
189.74359 | 7.854067 | 1.107656 | 5.576555 |
194.871795 | 7.901914 | 1.155502 | 5.566986 |
200 | 7.930622 | 1.232057 | 5.614833 |
205.128205 | 8.055024 | 1.212919 | 5.595694 |
210.25641 | 8.026316 | 1.212919 | 5.576555 |
215.384615 | 8.064593 | 1.212919 | 5.643541 |
220.512821 | 8.074163 | 1.19378 | 5.633971 |
225.641026 | 8.074163 | 1.19378 | 5.595694 |
230.769231 | 8.055024 | 1.155502 | 5.614833 |
235.897436 | 8.045455 | 1.117225 | 5.566986 |
241.025641 | 8.093301 | 1.078947 | 5.566986 |
246.153846 | 8.11244 | 1.021531 | 5.557416 |
251.282051 | 8.102871 | 0.954545 | 5.547847 |
256.410256 | 8.169856 | 0.906699 | 5.490431 |
261.538462 | 8.141148 | 0.830144 | 5.413876 |
266.666667 | 8.12201 | 0.858852 | 5.413876 |
271.794872 | 8.074163 | 0.87799 | 5.356459 |
276.923077 | 7.978469 | 0.830144 | 5.279904 |
282.051282 | 7.911483 | 0.830144 | 5.251196 |
287.179487 | 7.921053 | 0.830144 | 5.270335 |
292.307692 | 7.978469 | 0.811005 | 5.279904 |
297.435897 | 7.949761 | 0.744019 | 5.203349 |
302.564103 | 7.949761 | 0.715311 | 5.232057 |
307.692308 | 8.007177 | 0.686603 | 5.222488 |
312.820513 | 7.95933 | 0.657895 | 5.251196 |
317.948718 | 8.016746 | 0.638756 | 5.260766 |
323.076923 | 8.026316 | 0.629187 | 5.241627 |
328.205128 | 8.026316 | 0.610048 | 5.19378 |
333.333333 | 8.055024 | 0.57177 | 5.251196 |
338.461538 | 7.997608 | 0.552632 | 5.222488 |
343.589744 | 8.007177 | 0.552632 | 5.19378 |
348.717949 | 7.978469 | 0.523923 | 5.165072 |
353.846154 | 7.844498 | 0.543062 | 5.098086 |
358.974359 | 7.815789 | 0.476077 | 5.0311 |
364.102564 | 7.777512 | 0.504785 | 5.002392 |
369.230769 | 7.767943 | 0.485646 | 4.954545 |
374.358974 | 7.748804 | 0.380383 | 4.897129 |
379.487179 | 7.710526 | 0.370813 | 4.87799 |
384.615385 | 7.739234 | 0.294258 | 4.839713 |
389.74359 | 7.748804 | 0.246411 | 4.849282 |
394.871795 | 7.787081 | 0.055024 | 4.858852 |
400 | 7.834928 | 0.035885 | 4.849282 |
405.128205 | 7.873206 | 0 | 4.820574 |
410.25641 | 7.815789 | -0.045455 | 4.944976 |
415.384615 | 7.825359 | -0.093301 | 4.983254 |
420.512821 | 7.767943 | -0.093301 | 5.078947 |
425.641026 | 7.758373 | -0.083732 | 5.232057 |
430.769231 | 7.892344 | -0.11244 | 5.557416 |
435.897436 | 7.911483 | -0.093301 | 5.691388 |
441.025641 | 8.026316 | -0.083732 | 5.901914 |
446.153846 | 8.160287 | -0.064593 | 6.045455 |
451.282051 | 8.27512 | -0.045455 | 6.236842 |
456.410256 | 8.27512 | -0.035885 | 6.284689 |
461.538462 | 8.246411 | -0.045455 | 6.313397 |
466.666667 | 8.208134 | -0.074163 | 6.313397 |
471.794872 | 8.131579 | -0.150718 | 6.227273 |
476.923077 | 8.160287 | -0.198565 | 6.236842 |
482.051282 | 8.179426 | -0.246411 | 6.27512 |
487.179487 | 8.303828 | -0.322967 | 6.322967 |
492.307692 | 8.41866 | -0.351675 | 6.389952 |
497.435897 | 8.437799 | -0.351675 | 6.42823 |
502.564103 | 8.562201 | -0.399522 | 6.41866 |
507.692308 | 8.696172 | -0.504785 | 6.447368 |
End of preview.
Motivation
The actual download link is very slow, including the academic torrent. Therefore, to spare fellow community members from this misery, I am uploading the dataset here.
Source
You can fnd the original source to download the dataset: https://github.com/epic-kitchens/epic-kitchens-download-scripts
Citation
@INPROCEEDINGS{Damen2018EPICKITCHENS,
title={Scaling Egocentric Vision: The EPIC-KITCHENS Dataset},
author={Damen, Dima and Doughty, Hazel and Farinella, Giovanni Maria and Fidler, Sanja and
Furnari, Antonino and Kazakos, Evangelos and Moltisanti, Davide and Munro, Jonathan
and Perrett, Toby and Price, Will and Wray, Michael},
booktitle={European Conference on Computer Vision (ECCV)},
year={2018}
}
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