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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 ({'project_id'})
This happened while the csv dataset builder was generating data using
hf://datasets/rifqiakram/project-scoring-dataset/dummy_project_fix.csv (at revision de3da3331715531b1e66ff2499e8c76ecebb64e4)
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
project_id: int64
variety: string
planting_period: string
completion_rate: double
complete_time: int64
profit: int64
harvest: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1098
to
{'variety': Value(dtype='string', id=None), 'planting_period': Value(dtype='string', id=None), 'completion_rate': Value(dtype='float64', id=None), 'complete_time': Value(dtype='int64', id=None), 'profit': Value(dtype='int64', id=None), 'harvest': Value(dtype='int64', 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 1321, 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 935, 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 ({'project_id'})
This happened while the csv dataset builder was generating data using
hf://datasets/rifqiakram/project-scoring-dataset/dummy_project_fix.csv (at revision de3da3331715531b1e66ff2499e8c76ecebb64e4)
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.
variety
string | planting_period
string | completion_rate
float64 | complete_time
int64 | profit
int64 | harvest
int64 |
|---|---|---|---|---|---|
Hibrida | MT2 | 59.93 | 9 | 1,493,907 | 9,067 |
Hibrida | MT2 | 96.69 | 9 | 1,784,091 | 7,847 |
Hibrida | MT2 | 93.7 | 10 | 4,787,861 | 9,049 |
Umum | MT3 | 85.05 | 10 | 3,504,909 | 2,545 |
Umum | MT1 | 93.1 | 7 | 1,704,650 | 1,997 |
Hibrida | MT3 | 85.05 | 10 | 3,504,909 | 4,091 |
Hibrida | MT1 | 93.1 | 7 | 1,704,650 | 2,995 |
Hibrida | MT1 | 81.74 | 1 | 1,786,378 | 2,968 |
Hibrida | MT3 | 61.32 | 8 | 4,123,635 | 3,028 |
Hibrida | MT2 | 80.68 | 3 | 1,004,880 | 4,329 |
Hibrida | MT1 | 74.93 | 4 | 4,483,517 | 4,533 |
Hibrida | MT1 | 59 | 8 | 2,435,042 | 3,260 |
Hibrida | MT1 | 71.33 | 9 | 333,169 | 1,712 |
Hibrida | MT3 | 92.46 | 8 | 2,250,064 | 2,603 |
Hibrida | MT1 | 73.95 | 1 | 2,509,369 | 4,446 |
Hibrida | MT3 | 73.68 | 6 | -20,410 | 4,541 |
Hibrida | MT3 | 91.28 | 4 | 1,117,297 | 4,576 |
Hibrida | MT3 | 59.08 | 8 | 4,451,760 | 3,885 |
Hibrida | MT1 | 95.64 | 2 | 3,556,127 | 2,779 |
Hibrida | MT3 | 81.16 | 3 | 3,671,936 | 1,076 |
Hibrida | MT2 | 77.3 | 4 | 4,660,660 | 3,095 |
Hibrida | MT1 | 62.07 | 10 | 4,866,315 | 2,364 |
Hibrida | MT1 | 82.79 | 2 | 973,057 | 4,784 |
Hibrida | MT1 | 85.68 | 6 | 2,669,776 | 4,125 |
Hibrida | MT1 | 76.73 | 1 | 4,332,404 | 2,419 |
Hibrida | MT1 | 54.18 | 7 | 2,946,865 | 2,617 |
Hibrida | MT3 | 68.8 | 6 | 4,826,800 | 4,783 |
Hibrida | MT3 | 73.85 | 3 | 3,961,980 | 1,893 |
Hibrida | MT1 | 67.86 | 8 | 222,958 | 1,971 |
Hibrida | MT3 | 72.4 | 6 | 65,690 | 4,754 |
Hibrida | MT1 | 61.44 | 8 | -220,722 | 3,633 |
Hibrida | MT3 | 75.69 | 1 | 901,075 | 3,367 |
Hibrida | MT3 | 70.91 | 0 | -204,273 | 4,521 |
Hibrida | MT3 | 86.83 | 2 | 413,664 | 1,656 |
Hibrida | MT3 | 95.65 | 9 | 3,114,186 | 1,940 |
Hibrida | MT2 | 78 | 0 | -474,285 | 2,606 |
Hibrida | MT1 | 81.07 | 1 | 3,957,061 | 4,973 |
Hibrida | MT2 | 55.74 | 5 | 4,340,242 | 3,855 |
Hibrida | MT3 | 60.25 | 9 | -337,609 | 3,564 |
Hibrida | MT2 | 66.4 | 10 | 1,265,187 | 4,164 |
Hibrida | MT1 | 69.91 | 3 | 413,322 | 2,103 |
Hibrida | MT1 | 70.17 | 8 | 1,454,514 | 3,789 |
Hibrida | MT3 | 67.19 | 6 | 2,831,825 | 3,471 |
Hibrida | MT2 | 57.38 | 0 | 3,609,111 | 4,241 |
Hibrida | MT2 | 75.98 | 6 | -217,376 | 3,718 |
Hibrida | MT2 | 73 | 6 | 628,257 | 1,161 |
Hibrida | MT1 | 67.09 | 6 | 3,110,810 | 2,041 |
Hibrida | MT1 | 61.21 | 1 | 4,952,034 | 4,892 |
Hibrida | MT2 | 62.38 | 2 | 2,516,773 | 4,323 |
Hibrida | MT1 | 90.31 | 6 | 123,657 | 1,362 |
Hibrida | MT1 | 89.01 | 9 | 3,296,212 | 4,561 |
Hibrida | MT2 | 78.06 | 4 | 88,407 | 4,084 |
Hibrida | MT1 | 71.21 | 4 | 2,886,871 | 4,366 |
Hibrida | MT2 | 53.34 | 1 | -17,765 | 4,602 |
Hibrida | MT2 | 98.58 | 10 | 833,208 | 4,982 |
Hibrida | MT3 | 94.92 | 3 | -96,960 | 3,561 |
Hibrida | MT2 | 66.97 | 9 | -429,274 | 4,674 |
Hibrida | MT1 | 83.71 | 1 | 3,179,263 | 3,789 |
Hibrida | MT3 | 93.25 | 2 | 3,527,513 | 2,121 |
Hibrida | MT2 | 76.31 | 6 | 2,518,478 | 3,521 |
Hibrida | MT3 | 81.05 | 9 | 501,353 | 3,856 |
Hibrida | MT1 | 86.93 | 0 | 3,743,455 | 3,416 |
Hibrida | MT2 | 84.57 | 8 | 1,747,735 | 2,129 |
Hibrida | MT1 | 87.46 | 1 | 4,868,608 | 3,978 |
Hibrida | MT3 | 78.57 | 6 | 2,892,682 | 1,055 |
Hibrida | MT2 | 92.4 | 4 | 2,524,132 | 3,186 |
Hibrida | MT3 | 88.72 | 8 | 1,200,674 | 2,197 |
Hibrida | MT3 | 64.16 | 10 | 1,030,277 | 2,070 |
Hibrida | MT2 | 75.84 | 1 | 1,093,088 | 4,713 |
Hibrida | MT3 | 78.71 | 2 | 2,775,686 | 4,895 |
Hibrida | MT1 | 80.51 | 10 | -220,038 | 3,285 |
Hibrida | MT3 | 92.91 | 4 | 1,594,345 | 2,762 |
Hibrida | MT1 | 98.66 | 4 | 891,892 | 3,921 |
Hibrida | MT1 | 59.83 | 9 | 2,681,317 | 2,073 |
Hibrida | MT3 | 56.5 | 2 | 696,016 | 4,497 |
Hibrida | MT1 | 73.34 | 9 | 4,636,706 | 2,094 |
Hibrida | MT2 | 66.86 | 5 | 3,463,511 | 2,213 |
Hibrida | MT1 | 63.55 | 1 | 4,829,033 | 3,615 |
Hibrida | MT1 | 50.81 | 1 | 4,130,553 | 3,648 |
Hibrida | MT1 | 66.41 | 5 | 2,399,129 | 1,580 |
Hibrida | MT2 | 67.93 | 4 | 3,585,067 | 4,988 |
Hibrida | MT2 | 52 | 4 | 3,787,409 | 4,864 |
Hibrida | MT2 | 90.15 | 3 | 1,247,607 | 4,094 |
Hibrida | MT3 | 81.68 | 9 | 4,557,458 | 4,828 |
Hibrida | MT2 | 87.68 | 4 | 669,863 | 4,935 |
Hibrida | MT1 | 96.28 | 4 | -243,183 | 4,146 |
Hibrida | MT2 | 63.77 | 8 | 1,169,238 | 1,925 |
Hibrida | MT2 | 60.39 | 7 | 2,031,653 | 1,999 |
Hibrida | MT1 | 90.04 | 5 | 1,287,475 | 4,064 |
Hibrida | MT3 | 77.69 | 10 | 2,484,111 | 2,705 |
Hibrida | MT2 | 80.96 | 3 | 4,120,206 | 1,900 |
Hibrida | MT3 | 66.18 | 5 | 520,751 | 1,739 |
Hibrida | MT3 | 65.54 | 0 | 4,844,660 | 2,064 |
Hibrida | MT3 | 63 | 6 | 542,817 | 2,062 |
Hibrida | MT1 | 78.28 | 8 | 1,622,587 | 1,413 |
Hibrida | MT3 | 56.26 | 9 | 813,872 | 4,434 |
Hibrida | MT3 | 86.23 | 6 | 1,605,624 | 1,060 |
Hibrida | MT1 | 74.08 | 5 | 4,842,726 | 3,745 |
Hibrida | MT3 | 78.87 | 9 | 3,801,355 | 4,676 |
Hibrida | MT3 | 99.37 | 1 | 2,266,013 | 1,238 |
End of preview.