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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 3 new columns ({'5.251324033751283', '4.664376647227626', '1.8996041801047872'}) and 3 missing columns ({'4.712389610993979', '4.949927594937442', '4.47485032059602'}).
This happened while the csv dataset builder was generating data using
hf://datasets/tech0713/qasm_d_dataset/1.csv (at revision aed030eb8b31e71cf9c2adb88063759d027a8198)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
4.664376647227626: double
5.251324033751283: double
1.8996041801047872: double
Unnamed: 3: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 791
to
{'4.949927594937442': Value('float64'), '4.712389610993979': Value('float64'), '4.47485032059602': Value('float64'), 'Unnamed: 3': 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 1451, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, 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 1833, 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 3 new columns ({'5.251324033751283', '4.664376647227626', '1.8996041801047872'}) and 3 missing columns ({'4.712389610993979', '4.949927594937442', '4.47485032059602'}).
This happened while the csv dataset builder was generating data using
hf://datasets/tech0713/qasm_d_dataset/1.csv (at revision aed030eb8b31e71cf9c2adb88063759d027a8198)
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.
4.949927594937442
float64 | 4.712389610993979
float64 | 4.47485032059602
float64 | Unnamed: 3
null |
|---|---|---|---|
3.257253
| 0.074511
| 4.598512
| null |
1.570796
| -1.017668
| 1.570796
| null |
3.170682
| 1.568781
| 6.254096
| null |
1.405468
| 5.688992
| 3.141592
| null |
-0.300246
| 4.604752
| 1.472106
| null |
1.517067
| 3.193247
| 0.765
| null |
5.011663
| 2.200878
| 3.107414
| null |
0.19201
| 3.005269
| 2.556162
| null |
4.974971
| 6.283189
| -0.262581
| null |
4.712389
| 5.627073
| 3.141593
| null |
0.231791
| 6.283185
| 3.564969
| null |
5.514126
| 4.998954
| 0.15141
| null |
4.621647
| 5.576424
| 1.892723
| null |
4.40687
| 3.66064
| 3.141592
| null |
2.155771
| 5.914126
| 4.798951
| null |
6.349249
| -0.548156
| 4.586107
| null |
2.17855
| 1.570796
| 4.712389
| null |
3.774974
| 0.486405
| 0.583922
| null |
2.38955
| 5.96032
| 5.217288
| null |
6.54512
| 4.499303
| 3.198228
| null |
0.340365
| 5.075835
| 3.928893
| null |
6.428399
| 4.71239
| -1.570796
| null |
2.268103
| 4.166658
| 4.090994
| null |
-0.298089
| 5.23325
| 3.694721
| null |
5.212172
| 3.141593
| 2.07058
| null |
3.011207
| 0
| 4.712389
| null |
-0
| 2.553473
| 3.141593
| null |
3.180686
| 5.083372
| 1.706286
| null |
2.349568
| 0.085013
| 3.141174
| null |
0.28102
| 1.90465
| 4.446143
| null |
-0.002977
| 1.570796
| 7.853982
| null |
4.854445
| 2.765889
| 1.199134
| null |
3.906531
| 1.366484
| 3.141593
| null |
2.962198
| 6.5902
| 5.628031
| null |
4.597004
| 5.238492
| 6.149955
| null |
6.323199
| -0.000003
| -1.859052
| null |
1.28829
| 2.011562
| 0.973362
| null |
6.284807
| 3.128319
| 1.572418
| null |
2.428764
| 5.891
| 4.296094
| null |
3.746606
| 4.06513
| 1.709862
| null |
2.174018
| 3.125886
| 4.765672
| null |
3.697508
| 0.069572
| 3.098431
| null |
4.712389
| 0.281193
| 1.570795
| null |
1.570796
| 3.298596
| 3.141593
| null |
3.156272
| 2.473188
| 6.283185
| null |
2.825056
| 4.712388
| 4.395853
| null |
3.152153
| 2.372027
| 4.713676
| null |
3.610654
| 4.924144
| 1.963932
| null |
6.128468
| 4.577134
| 0.712899
| null |
2.331279
| 2.287905
| 5.60109
| null |
5.333964
| 4.712389
| 2.520017
| null |
-0.246067
| 1.570791
| 5.139331
| null |
6.32869
| 3.423175
| 2.770341
| null |
2.166503
| 5.622636
| 7.144622
| null |
-0.324826
| 2.845026
| 2.798377
| null |
4.227345
| 4.712389
| 3.141593
| null |
1.438123
| -0.405673
| 4.765008
| null |
4.488391
| 7.153374
| 4.004568
| null |
1.523173
| 5.712318
| 3.935795
| null |
6.283186
| 6.236744
| 0.000001
| null |
1.015081
| 4.290528
| 4.351886
| null |
4.160986
| 2.661646
| 4.830496
| null |
2.091147
| 6.622077
| 2.650287
| null |
3.800011
| 1.570797
| 0.878424
| null |
0.127986
| -1.570761
| 1.394243
| null |
2.578026
| 5.991425
| 5.683742
| null |
2.263586
| 3.141594
| -1.570797
| null |
4.333279
| 0.603108
| 1.288365
| null |
3.848321
| 0.013667
| 3.129924
| null |
4.740392
| 1.562048
| 0.231427
| null |
-1.33653
| -0.460169
| -3.141593
| null |
1.876377
| -1.570792
| 1.265216
| null |
4.712384
| 0.670558
| 4.712394
| null |
4.76961
| 7.808478
| 5.383502
| null |
6.283185
| 6.876271
| 6.283185
| null |
2.200894
| 2.537209
| 1.686426
| null |
0.592127
| 0
| 5.016161
| null |
3.942049
| 3.079435
| 5.650345
| null |
2.076136
| 1.570796
| 0.505341
| null |
3.141593
| 6.032723
| 4.712389
| null |
1.570807
| 1.330813
| 1.570785
| null |
5.888151
| 1.489288
| 2.100166
| null |
5.446905
| 1.570796
| 4.712388
| null |
2.313602
| 4.494433
| 1.641991
| null |
3.701495
| -0.830723
| 1.570797
| null |
4.712389
| 0.950765
| 1.570796
| null |
4.641284
| 1.214312
| 7.660038
| null |
1.471551
| -0.12158
| 2.50771
| null |
3.198418
| 2.215761
| 4.489851
| null |
2.492255
| 0.517644
| 0.447234
| null |
2.682093
| 2.256855
| 0.94802
| null |
-0
| 1.299868
| 4.712389
| null |
2.094974
| 4.292045
| 0.564508
| null |
1.316529
| 7.055115
| 3.393384
| null |
4.81071
| 1.573916
| 1.70133
| null |
5.097024
| 0.962639
| 5.049418
| null |
-0.023917
| 1.570796
| 4.865949
| null |
2.101007
| 1.85021
| 0.531029
| null |
4.085317
| 3.694927
| 3.141593
| null |
5.95015
| 4.71239
| 1.455235
| null |
End of preview.
QASM Dataset
This dataset contains quantum circuit simulation data with 64 CSV files (0.csv to 63.csv).
Dataset Structure
- Files: 64 CSV files numbered from 0 to 63
- Size: ~57GB total
- Rows per file: ~16.7M rows
- Format: Comma-separated numerical values
Usage
from datasets import load_dataset
# Load individual files
dataset = load_dataset("tech0713/qasm_d_dataset", data_files="0.csv")
# Load all files
dataset = load_dataset("tech0713/qasm_d_dataset")
Data Description
The dataset appears to contain numerical simulation results, possibly from quantum circuit simulations (QASM format). Each row contains comma-separated floating-point values.
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