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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 9 new columns ({'macs', 'phase', 'strategy', 'accuracy', 'params', 'seed', 'sparsity', 'model', 'dataset'}) and 3 missing columns ({'val_accuracy', 'epoch', 'best_accuracy'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Shanmuk4622/heaip-cifar100/results_ablation_full_cifar100.csv (at revision fe9784e1d4c140226ec9dc02a8a3469558d759a0), ['hf://datasets/Shanmuk4622/heaip-cifar100@fe9784e1d4c140226ec9dc02a8a3469558d759a0/cifar100/baselines/mobilenetv3/history.csv', 'hf://datasets/Shanmuk4622/heaip-cifar100@fe9784e1d4c140226ec9dc02a8a3469558d759a0/cifar100/baselines/resnet18/history.csv', 'hf://datasets/Shanmuk4622/heaip-cifar100@fe9784e1d4c140226ec9dc02a8a3469558d759a0/cifar100/baselines/vgg16/history.csv', 'hf://datasets/Shanmuk4622/heaip-cifar100@fe9784e1d4c140226ec9dc02a8a3469558d759a0/results_ablation_full_cifar100.csv', 'hf://datasets/Shanmuk4622/heaip-cifar100@fe9784e1d4c140226ec9dc02a8a3469558d759a0/results_ftepochs_cifar100.csv', 'hf://datasets/Shanmuk4622/heaip-cifar100@fe9784e1d4c140226ec9dc02a8a3469558d759a0/results_hparam_cifar100.csv']
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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
phase: string
dataset: string
model: string
strategy: string
sparsity: int64
seed: int64
accuracy: double
macs: int64
params: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1276
to
{'epoch': Value('int64'), 'val_accuracy': Value('float64'), 'best_accuracy': Value('float64')}
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 9 new columns ({'macs', 'phase', 'strategy', 'accuracy', 'params', 'seed', 'sparsity', 'model', 'dataset'}) and 3 missing columns ({'val_accuracy', 'epoch', 'best_accuracy'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Shanmuk4622/heaip-cifar100/results_ablation_full_cifar100.csv (at revision fe9784e1d4c140226ec9dc02a8a3469558d759a0), ['hf://datasets/Shanmuk4622/heaip-cifar100@fe9784e1d4c140226ec9dc02a8a3469558d759a0/cifar100/baselines/mobilenetv3/history.csv', 'hf://datasets/Shanmuk4622/heaip-cifar100@fe9784e1d4c140226ec9dc02a8a3469558d759a0/cifar100/baselines/resnet18/history.csv', 'hf://datasets/Shanmuk4622/heaip-cifar100@fe9784e1d4c140226ec9dc02a8a3469558d759a0/cifar100/baselines/vgg16/history.csv', 'hf://datasets/Shanmuk4622/heaip-cifar100@fe9784e1d4c140226ec9dc02a8a3469558d759a0/results_ablation_full_cifar100.csv', 'hf://datasets/Shanmuk4622/heaip-cifar100@fe9784e1d4c140226ec9dc02a8a3469558d759a0/results_ftepochs_cifar100.csv', 'hf://datasets/Shanmuk4622/heaip-cifar100@fe9784e1d4c140226ec9dc02a8a3469558d759a0/results_hparam_cifar100.csv']
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 | val_accuracy float64 | best_accuracy float64 |
|---|---|---|
0 | 1 | 1 |
1 | 1.04 | 1.04 |
2 | 7.5 | 7.5 |
3 | 20.9 | 20.9 |
4 | 24.91 | 24.91 |
5 | 23.95 | 24.91 |
6 | 29.79 | 29.79 |
7 | 31.88 | 31.88 |
8 | 33.51 | 33.51 |
9 | 33.62 | 33.62 |
10 | 37.2 | 37.2 |
11 | 41.66 | 41.66 |
12 | 40.75 | 41.66 |
13 | 39.05 | 41.66 |
14 | 43.8 | 43.8 |
15 | 43.04 | 43.8 |
16 | 44.29 | 44.29 |
17 | 45.64 | 45.64 |
18 | 46.66 | 46.66 |
19 | 51.17 | 51.17 |
20 | 47.26 | 51.17 |
21 | 49.85 | 51.17 |
22 | 50.03 | 51.17 |
23 | 53.74 | 53.74 |
24 | 54.29 | 54.29 |
25 | 54.16 | 54.29 |
26 | 52.81 | 54.29 |
27 | 55.11 | 55.11 |
28 | 56.89 | 56.89 |
29 | 58.24 | 58.24 |
30 | 56.78 | 58.24 |
31 | 58.43 | 58.43 |
32 | 59.07 | 59.07 |
33 | 59.45 | 59.45 |
34 | 59.13 | 59.45 |
35 | 61.32 | 61.32 |
36 | 62.1 | 62.1 |
37 | 63.34 | 63.34 |
38 | 63.72 | 63.72 |
39 | 63.88 | 63.88 |
40 | 63.71 | 63.88 |
41 | 64.53 | 64.53 |
42 | 65.21 | 65.21 |
43 | 65.38 | 65.38 |
44 | 66.03 | 66.03 |
45 | 66.06 | 66.06 |
46 | 66.29 | 66.29 |
47 | 66.39 | 66.39 |
48 | 66.53 | 66.53 |
49 | 66.54 | 66.54 |
0 | 13.82 | 13.82 |
1 | 28.98 | 28.98 |
2 | 37.5 | 37.5 |
3 | 36.17 | 37.5 |
4 | 42.66 | 42.66 |
5 | 47.51 | 47.51 |
6 | 50.22 | 50.22 |
7 | 50.25 | 50.25 |
8 | 56.83 | 56.83 |
9 | 53.94 | 56.83 |
10 | 52.81 | 56.83 |
11 | 59.23 | 59.23 |
12 | 57.31 | 59.23 |
13 | 56.93 | 59.23 |
14 | 58.62 | 59.23 |
15 | 60.53 | 60.53 |
16 | 61.56 | 61.56 |
17 | 59.84 | 61.56 |
18 | 62.27 | 62.27 |
19 | 62.91 | 62.91 |
20 | 63.44 | 63.44 |
21 | 62.24 | 63.44 |
22 | 63.16 | 63.44 |
23 | 61.84 | 63.44 |
24 | 65.52 | 65.52 |
25 | 65.46 | 65.52 |
26 | 65.11 | 65.52 |
27 | 68.28 | 68.28 |
28 | 68.3 | 68.3 |
29 | 68.21 | 68.3 |
30 | 69.44 | 69.44 |
31 | 69.04 | 69.44 |
32 | 70.14 | 70.14 |
33 | 71.3 | 71.3 |
34 | 72.15 | 72.15 |
35 | 73.06 | 73.06 |
36 | 73.84 | 73.84 |
37 | 73.69 | 73.84 |
38 | 74.64 | 74.64 |
39 | 74.44 | 74.64 |
40 | 74.58 | 74.64 |
41 | 74.87 | 74.87 |
42 | 75.32 | 75.32 |
43 | 75.13 | 75.32 |
44 | 75.38 | 75.38 |
45 | 75.33 | 75.38 |
46 | 75.38 | 75.38 |
47 | 75.29 | 75.38 |
48 | 75.44 | 75.44 |
49 | 75.4 | 75.44 |
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