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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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