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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 ({'validation_accuracy', 'validation_loss'}) and 2 missing columns ({'test_accuracy', 'test_loss'}).
This happened while the csv dataset builder was generating data using
hf://datasets/cmpatino/uq_decision_making/predictions/init_scores_fitzpatrick_clean/training_history.csv (at revision e75122a6ecbbd9c9e96bc188932bee8bbf4d4882)
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
epoch: int64
train_loss: double
train_accuracy: double
validation_loss: double
validation_accuracy: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 888
to
{'epoch': Value(dtype='int64', id=None), 'train_loss': Value(dtype='float64', id=None), 'train_accuracy': Value(dtype='float64', id=None), 'test_loss': Value(dtype='float64', id=None), 'test_accuracy': 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 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 2 new columns ({'validation_accuracy', 'validation_loss'}) and 2 missing columns ({'test_accuracy', 'test_loss'}).
This happened while the csv dataset builder was generating data using
hf://datasets/cmpatino/uq_decision_making/predictions/init_scores_fitzpatrick_clean/training_history.csv (at revision e75122a6ecbbd9c9e96bc188932bee8bbf4d4882)
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.
epoch
int64 | train_loss
float64 | train_accuracy
float64 | test_loss
float64 | test_accuracy
float64 |
|---|---|---|---|---|
1 | 595.325968 | 5.417471 | 552.028407 | 10.519966 |
2 | 501.10113 | 16.167954 | 499.326718 | 16.576185 |
3 | 437.632304 | 23.962355 | 463.950199 | 20.822777 |
4 | 389.79 | 31.129344 | 441.117239 | 23.730245 |
5 | 349.728316 | 37.451737 | 424.106453 | 26.22753 |
6 | 315.88144 | 42.531371 | 412.076531 | 28.097479 |
7 | 287.781658 | 47.502413 | 401.174088 | 29.882977 |
8 | 260.141856 | 52.014961 | 395.997913 | 30.43793 |
9 | 235.547169 | 56.973938 | 393.955987 | 30.5827 |
10 | 213.562271 | 60.617761 | 390.706867 | 31.90976 |
1 | 133.801872 | 3.360151 | null | null |
2 | 125.553545 | 8.613346 | null | null |
3 | 116.96189 | 14.978703 | null | null |
4 | 108.179788 | 19.995267 | null | null |
5 | 102.87344 | 24.420256 | null | null |
6 | 97.689906 | 27.472788 | null | null |
7 | 92.967923 | 31.566493 | null | null |
8 | 89.155752 | 33.577851 | null | null |
9 | 85.984746 | 37.363938 | null | null |
10 | 81.931191 | 40.534785 | null | null |
11 | 76.995569 | 42.262186 | null | null |
12 | 75.01795 | 44.557501 | null | null |
13 | 72.448126 | 47.539044 | null | null |
14 | 68.595883 | 48.509229 | null | null |
15 | 66.416163 | 50.828206 | null | null |
16 | 63.667105 | 53.880738 | null | null |
17 | 62.006703 | 54.212021 | null | null |
18 | 60.254217 | 55.91576 | null | null |
19 | 56.724343 | 58.660672 | null | null |
20 | 54.743819 | 59.867487 | null | null |
21 | 53.419657 | 62.920019 | null | null |
22 | 52.36443 | 62.233791 | null | null |
23 | 49.635847 | 63.700899 | null | null |
24 | 47.049807 | 66.800757 | null | null |
25 | 46.975302 | 67.108377 | null | null |
26 | 44.042832 | 68.480833 | null | null |
27 | 42.916278 | 68.646474 | null | null |
28 | 42.465645 | 70.373876 | null | null |
29 | 41.795201 | 71.225745 | null | null |
30 | 40.333278 | 72.598202 | null | null |
31 | 37.956334 | 74.017984 | null | null |
32 | 36.145035 | 74.988168 | null | null |
33 | 36.753283 | 75.485092 | null | null |
34 | 35.513207 | 76.975864 | null | null |
35 | 33.035108 | 77.543777 | null | null |
36 | 31.764158 | 78.916233 | null | null |
37 | 30.14708 | 79.271178 | null | null |
38 | 30.413381 | 80.312352 | null | null |
39 | 30.805808 | 81.3062 | null | null |
40 | 29.680489 | 81.992428 | null | null |
41 | 27.048874 | 82.418363 | null | null |
42 | 26.591944 | 83.435873 | null | null |
43 | 26.754056 | 84.145764 | null | null |
44 | 24.531927 | 84.548036 | null | null |
45 | 23.926651 | 84.808329 | null | null |
46 | 23.797109 | 85.967818 | null | null |
47 | 22.404961 | 86.06247 | null | null |
48 | 23.198922 | 87.032655 | null | null |
49 | 21.414986 | 87.340274 | null | null |
50 | 21.943857 | 88.405111 | null | null |
51 | 18.218208 | 89.162328 | null | null |
52 | 20.297129 | 88.334122 | null | null |
53 | 20.91536 | 89.446285 | null | null |
54 | 18.249564 | 89.848557 | null | null |
55 | 17.86312 | 90.298154 | null | null |
56 | 19.909599 | 90.10885 | null | null |
57 | 17.329793 | 91.339328 | null | null |
58 | 16.944728 | 91.102698 | null | null |
59 | 16.093946 | 90.937056 | null | null |
60 | 16.95721 | 91.575958 | null | null |
61 | 16.381983 | 92.333176 | null | null |
62 | 15.162214 | 91.907241 | null | null |
63 | 15.09941 | 93.232371 | null | null |
64 | 14.136049 | 92.640795 | null | null |
65 | 14.924829 | 92.924752 | null | null |
66 | 12.456906 | 93.279697 | null | null |
67 | 12.111853 | 93.800284 | null | null |
68 | 11.298331 | 93.989588 | null | null |
69 | 13.613881 | 94.131566 | null | null |
70 | 13.652822 | 93.776621 | null | null |
71 | 13.010067 | 93.681969 | null | null |
72 | 13.260865 | 93.871273 | null | null |
73 | 13.143745 | 94.439186 | null | null |
74 | 11.528584 | 95.007099 | null | null |
75 | 10.253374 | 95.669664 | null | null |
76 | 11.624322 | 94.62849 | null | null |
77 | 10.737632 | 95.007099 | null | null |
78 | 10.334126 | 94.841458 | null | null |
79 | 9.423328 | 95.622338 | null | null |
80 | 10.593757 | 95.787979 | null | null |
81 | 9.927815 | 95.669664 | null | null |
82 | 13.137595 | 95.527686 | null | null |
83 | 10.111153 | 95.929957 | null | null |
84 | 8.756556 | 96.284903 | null | null |
85 | 9.300085 | 96.190251 | null | null |
86 | 11.512818 | 96.355892 | null | null |
87 | 9.422899 | 96.332229 | null | null |
88 | 8.10851 | 96.474207 | null | null |
89 | 9.445977 | 96.521533 | null | null |
90 | 9.752863 | 96.190251 | null | null |
End of preview.
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