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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 11 new columns ({'finetune_epochs', 'phase', 'compress_x', 'model', 'seed', 'strategy', 'dataset', 'macs_reduction', 'accuracy', 'params_reduction', 'sparsity'}) and 3 missing columns ({'epoch', 'best_accuracy', 'val_accuracy'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Shanmuk4622/heaip-cifar10/results_ablation_full_cifar10.csv (at revision 2c461daa0b68d15bb1e75533254268e93a28c974), ['hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/cifar10/baselines/efficientnetv2s/history.csv', 'hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/cifar10/baselines/mobilenetv3/history.csv', 'hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/cifar10/baselines/resnet18/history.csv', 'hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/cifar10/baselines/vgg16/history.csv', 'hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/results_ablation_full_cifar10.csv', 'hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/results_cifar10.csv', 'hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/results_ftepochs_cifar10.csv', 'hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/results_hparam_cifar10.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: double
              seed: int64
              finetune_epochs: int64
              accuracy: double
              compress_x: double
              macs_reduction: double
              params_reduction: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1577
              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 11 new columns ({'finetune_epochs', 'phase', 'compress_x', 'model', 'seed', 'strategy', 'dataset', 'macs_reduction', 'accuracy', 'params_reduction', 'sparsity'}) and 3 missing columns ({'epoch', 'best_accuracy', 'val_accuracy'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Shanmuk4622/heaip-cifar10/results_ablation_full_cifar10.csv (at revision 2c461daa0b68d15bb1e75533254268e93a28c974), ['hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/cifar10/baselines/efficientnetv2s/history.csv', 'hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/cifar10/baselines/mobilenetv3/history.csv', 'hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/cifar10/baselines/resnet18/history.csv', 'hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/cifar10/baselines/vgg16/history.csv', 'hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/results_ablation_full_cifar10.csv', 'hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/results_cifar10.csv', 'hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/results_ftepochs_cifar10.csv', 'hf://datasets/Shanmuk4622/heaip-cifar10@2c461daa0b68d15bb1e75533254268e93a28c974/results_hparam_cifar10.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)

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epoch int64	val_accuracy float64	best_accuracy float64
0	30.01	30.01
1	44.13	44.13
2	47.92	47.92
3	41.12	47.92
4	58.7	58.7
5	71.05	71.05
6	61.78	71.05
7	73.95	73.95
8	74.54	74.54
9	80.68	80.68
10	63.49	80.68
11	79.86	80.68
12	80.98	80.98
13	81.22	81.22
14	82.03	82.03
15	81.6	82.03
16	83.31	83.31
17	84.12	84.12
18	77.9	84.12
19	80.59	84.12
20	83.03	84.12
21	84.74	84.74
22	83.64	84.74
23	83.66	84.74
24	86.19	86.19
25	85.56	86.19
26	86.97	86.97
27	86.88	86.97
28	86.29	86.97
29	87.14	87.14
30	86.37	87.14
31	83.82	87.14
32	87.61	87.61
33	88.44	88.44
34	88.49	88.49
35	89.01	89.01
36	89.1	89.1
37	89.32	89.32
38	89.22	89.32
39	89.99	89.99
40	90.27	90.27
41	90.11	90.27
42	90.13	90.27
43	90.54	90.54
44	90.65	90.65
45	90.91	90.91
46	90.92	90.92
47	91.01	91.01
48	90.86	91.01
49	91.12	91.12
0	10	10
1	13.88	13.88
2	45.09	45.09
3	60.96	60.96
4	68.39	68.39
5	68.46	68.46
6	73.67	73.67
7	61.2	73.67
8	68.61	73.67
9	66.06	73.67
10	68.95	73.67
11	71.41	73.67
12	78.19	78.19
13	74.9	78.19
14	76.59	78.19
15	77.99	78.19
16	77.94	78.19
17	76.78	78.19
18	77.86	78.19
19	76.49	78.19
20	80.28	80.28
21	80.68	80.68
22	76.12	80.68
23	82.59	82.59
24	82.59	82.59
25	82.64	82.64
26	83.64	83.64
27	84.2	84.2
28	85.96	85.96
29	84.66	85.96
30	84.32	85.96
31	85.45	85.96
32	86.11	86.11
33	87.33	87.33
34	85.98	87.33
35	87.66	87.66
36	86.49	87.66
37	88.27	88.27
38	87.88	88.27
39	88.18	88.27
40	89.08	89.08
41	89.38	89.38
42	89.26	89.38
43	89.38	89.38
44	89.55	89.55
45	89.65	89.65
46	89.97	89.97
47	89.93	89.97
48	89.71	89.97
49	89.81	89.97

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