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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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