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rifqiakram
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project-scoring-dataset

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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)

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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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rifqiakram/project-scoring

Tabular Classification • Updated Jan 17