rifqiakram/project-scoring
Tabular Classification
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Updated
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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
|
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