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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 1 new columns ({'Epoch'}) and 2 missing columns ({'magnification', 'data size'}).
This happened while the csv dataset builder was generating data using
hf://datasets/zwang2/breakhis_lora_results/res_everything/train_loss_epoch_100_10%.csv (at revision bbdcc1f6f24c67baf0ca16d08c224f09d8464878)
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 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Epoch: int64
Ours: double
ResNet-50: double
ResNeXt-50: double
densenet121: double
AlexNet: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 955
to
{'data size': Value(dtype='int64', id=None), 'Ours': Value(dtype='float64', id=None), 'ResNet-50': Value(dtype='float64', id=None), 'ResNeXt-50': Value(dtype='float64', id=None), 'densenet121': Value(dtype='float64', id=None), 'AlexNet': Value(dtype='float64', id=None), 'magnification': Value(dtype='string', 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 1323, 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 938, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 1 new columns ({'Epoch'}) and 2 missing columns ({'magnification', 'data size'}).
This happened while the csv dataset builder was generating data using
hf://datasets/zwang2/breakhis_lora_results/res_everything/train_loss_epoch_100_10%.csv (at revision bbdcc1f6f24c67baf0ca16d08c224f09d8464878)
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.
data size
int64 | Ours
float64 | ResNet-50
float64 | ResNeXt-50
float64 | densenet121
float64 | AlexNet
float64 | magnification
string |
|---|---|---|---|---|---|---|
5
| 1
| 1
| 1
| 1
| 0.821705
|
high
|
5
| 1
| 1
| 1
| 1
| 1
|
low
|
5
| 1
| 1
| 1
| 1
| 0.992481
|
all
|
5
| 1
| 1
| 1
| 1
| 0.895522
|
40
|
5
| 1
| 1
| 1
| 1
| 1
|
100
|
5
| 1
| 1
| 1
| 1
| 1
|
200
|
5
| 1
| 1
| 1
| 1
| 0.967213
|
400
|
6
| 1
| 1
| 1
| 1
| 1
|
high
|
6
| 1
| 1
| 1
| 1
| 0.963636
|
low
|
6
| 1
| 1
| 1
| 1
| 0.99375
|
all
|
6
| 1
| 1
| 1
| 1
| 0.987654
|
40
|
6
| 1
| 1
| 1
| 1
| 1
|
100
|
6
| 1
| 1
| 1
| 1
| 1
|
200
|
6
| 1
| 1
| 1
| 1
| 0.72973
|
400
|
7
| 1
| 1
| 1
| 1
| 0.994475
|
high
|
7
| 1
| 1
| 1
| 1
| 1
|
low
|
7
| 1
| 1
| 1
| 1
| 0.975871
|
all
|
7
| 1
| 1
| 1
| 1
| 1
|
40
|
7
| 1
| 1
| 1
| 1
| 0.979592
|
100
|
7
| 1
| 1
| 1
| 1
| 1
|
200
|
7
| 1
| 1
| 1
| 1
| 1
|
400
|
8
| 1
| 1
| 1
| 1
| 0.941748
|
high
|
8
| 1
| 1
| 1
| 1
| 1
|
low
|
8
| 1
| 1
| 1
| 1
| 0.997647
|
all
|
8
| 1
| 1
| 1
| 1
| 0.953271
|
40
|
8
| 1
| 1
| 1
| 1
| 1
|
100
|
8
| 1
| 1
| 1
| 1
| 1
|
200
|
8
| 1
| 1
| 1
| 1
| 0.928571
|
400
|
9
| 1
| 1
| 1
| 1
| 0.99569
|
high
|
9
| 1
| 1
| 1
| 1
| 1
|
low
|
9
| 1
| 1
| 1
| 1
| 0.993737
|
all
|
9
| 1
| 1
| 1
| 1
| 0.677686
|
40
|
9
| 1
| 1
| 1
| 1
| 1
|
100
|
9
| 1
| 1
| 1
| 1
| 1
|
200
|
9
| 1
| 1
| 1
| 1
| 1
|
400
|
10
| 1
| 1
| 1
| 1
| 0.929961
|
high
|
10
| 1
| 1
| 1
| 1
| 1
|
low
|
10
| 1
| 1
| 1
| 1
| 0.992467
|
all
|
10
| 1
| 1
| 1
| 1
| 0.932836
|
40
|
10
| 1
| 1
| 1
| 1
| 1
|
100
|
10
| 1
| 1
| 1
| 1
| 1
|
200
|
10
| 1
| 1
| 1
| 1
| 1
|
400
|
11
| 1
| 1
| 1
| 1
| 0.957746
|
high
|
11
| 1
| 1
| 1
| 1
| 1
|
low
|
11
| 1
| 1
| 1
| 1
| 0.940273
|
all
|
11
| 1
| 1
| 1
| 1
| 0.993243
|
40
|
11
| 1
| 1
| 1
| 1
| 0.987013
|
100
|
11
| 1
| 1
| 1
| 1
| 1
|
200
|
11
| 1
| 1
| 1
| 1
| 1
|
400
|
12
| 1
| 1
| 1
| 1
| 1
|
high
|
12
| 1
| 1
| 1
| 1
| 0.984802
|
low
|
12
| 1
| 1
| 1
| 1
| 0.990596
|
all
|
12
| 1
| 1
| 1
| 1
| 0.900621
|
40
|
12
| 1
| 1
| 1
| 1
| 1
|
100
|
12
| 1
| 1
| 1
| 1
| 0.981481
|
200
|
12
| 1
| 1
| 1
| 1
| 0.952381
|
400
|
13
| 1
| 1
| 1
| 1
| 0.946269
|
high
|
13
| 1
| 1
| 1
| 1
| 0.985955
|
low
|
13
| 1
| 1
| 1
| 1
| 0.997106
|
all
|
13
| 1
| 1
| 1
| 1
| 0.971264
|
40
|
13
| 1
| 1
| 1
| 1
| 1
|
100
|
13
| 1
| 1
| 1
| 1
| 1
|
200
|
13
| 1
| 1
| 1
| 1
| 1
|
400
|
14
| 1
| 1
| 1
| 1
| 0.955556
|
high
|
14
| 1
| 1
| 1
| 1
| 0.997396
|
low
|
14
| 1
| 0.998656
| 1
| 1
| 0.997312
|
all
|
14
| 1
| 1
| 1
| 1
| 0.994681
|
40
|
14
| 1
| 1
| 1
| 1
| 0.979592
|
100
|
14
| 1
| 1
| 1
| 1
| 1
|
200
|
14
| 1
| 1
| 1
| 1
| 1
|
400
|
15
| 1
| 1
| 1
| 0.997409
| 0.96114
|
high
|
15
| 1
| 1
| 1
| 1
| 0.990268
|
low
|
15
| 1
| 1
| 1
| 1
| 0.993726
|
all
|
15
| 1
| 1
| 1
| 1
| 0.99005
|
40
|
15
| 1
| 1
| 1
| 1
| 1
|
100
|
15
| 1
| 1
| 1
| 1
| 1
|
200
|
15
| 1
| 1
| 1
| 1
| 0.967213
|
400
|
40
| 1
| 0.998696
| 0.998696
| 0.999027
| 0.987354
|
high
|
40
| 1
| 0.998774
| 0.999085
| 1
| 0.994511
|
low
|
40
| 1
| 0.998586
| 0.999057
| 0.999529
| 0.983027
|
all
|
40
| 1
| 1
| 1
| 1
| 0.998131
|
40
|
40
| 1
| 1
| 1
| 1
| 0.998208
|
100
|
40
| 1
| 1
| 1
| 1
| 0.994444
|
200
|
40
| 1
| 1
| 1
| 1
| 1
|
400
|
70
| 1
| 0.999444
| 1
| 1
| 0.991106
|
high
|
70
| 1
| 1
| 1
| 0.999477
| 0.997386
|
low
|
70
| 1
| 0.999192
| 0.999731
| 0.998922
| 0.978179
|
all
|
70
| 1
| 1
| 1
| 1
| 0.996795
|
40
|
70
| 1
| 1
| 1
| 1
| 0.994882
|
100
|
70
| 1
| 1
| 1
| 1
| 1
|
200
|
70
| 1
| 1
| 1
| 1
| 0.985948
|
400
|
100
| 1
| 0.999611
| 0.999611
| 0.999221
| 0.985208
|
high
|
100
| 1
| 0.999268
| 1
| 0.999268
| 0.995974
|
low
|
100
| 1
| 0.999057
| 0.999057
| 0.997548
| 0.934352
|
all
|
100
| 1
| 0.999252
| 1
| 1
| 0.997756
|
40
|
100
| 1
| 1
| 1
| 1
| 0.994982
|
100
|
100
| 1
| 0.999259
| 1
| 1
| 0.996294
|
200
|
100
| 1
| 0.99918
| 0.99918
| 0.99918
| 0.997541
|
400
|
null | 0.728711
| 4.482546
| 4.662845
| 6.603554
| 10.351462
| null |
null | 0.614477
| 2.32143
| 2.162864
| 2.322345
| 4.892124
| null |
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