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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 ({'Sales', 'Product', 'Profit'}) and 6 missing columns ({'Quantity', 'Unit Price', 'Reorder Status', 'Stock Value', 'Product Name', 'Product ID'}).
This happened while the csv dataset builder was generating data using
hf://datasets/DhineshKumaar/osworld_tasks_files/Rework3/quarterly_sales.csv (at revision 4cd6edc4f27c082da1ad699ed5458d3f37f736f3)
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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Product: string
Sales: double
Profit: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 598
to
{'Product ID': Value('string'), 'Product Name': Value('string'), 'Quantity': Value('int64'), 'Unit Price': Value('float64'), 'Stock Value': Value('string'), 'Reorder Status': Value('string')}
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 1339, 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 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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 ({'Sales', 'Product', 'Profit'}) and 6 missing columns ({'Quantity', 'Unit Price', 'Reorder Status', 'Stock Value', 'Product Name', 'Product ID'}).
This happened while the csv dataset builder was generating data using
hf://datasets/DhineshKumaar/osworld_tasks_files/Rework3/quarterly_sales.csv (at revision 4cd6edc4f27c082da1ad699ed5458d3f37f736f3)
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.
Product ID string | Product Name string | Quantity int64 | Unit Price float64 | Stock Value string | Reorder Status string |
|---|---|---|---|---|---|
PID_001 | Product_1 | 63 | 91.08 | ?5,738.04 | OK |
PID_002 | Product_2 | 150 | 75.51 | ?11,326.50 | OK |
PID_003 | Product_3 | 108 | 75.97 | ?8,204.76 | OK |
PID_004 | Product_4 | 122 | 65.91 | ?8,041.02 | OK |
PID_005 | Product_5 | 55 | 14.41 | ?792.55 | OK |
PID_006 | Product_6 | 199 | 98.51 | ?19,603.49 | OK |
PID_007 | Product_7 | 164 | 82.73 | ?13,567.72 | OK |
PID_008 | Product_8 | 105 | 22.27 | ?2,338.35 | OK |
PID_009 | Product_9 | 88 | 88.36 | ?7,775.68 | OK |
PID_010 | Product_10 | 131 | 41.28 | ?5,407.68 | OK |
PID_011 | Product_11 | 51 | 71.86 | ?3,664.86 | OK |
PID_012 | Product_12 | 7 | 69.68 | ?487.76 | REORDER NOW |
PID_013 | Product_13 | 40 | 86.48 | ?3,459.20 | OK |
PID_014 | Product_14 | 22 | 63.15 | ?1,389.30 | OK |
PID_015 | Product_15 | 178 | 49.02 | ?8,725.56 | OK |
PID_016 | Product_16 | 26 | 80.03 | ?2,080.78 | OK |
PID_017 | Product_17 | 150 | 56.41 | ?8,461.50 | OK |
PID_018 | Product_18 | 165 | 86.59 | ?14,287.35 | OK |
PID_019 | Product_19 | 199 | 29.61 | ?5,892.39 | OK |
PID_020 | Product_20 | 27 | 70.01 | ?1,890.27 | OK |
PID_021 | Product_21 | 15 | 52.78 | ?791.70 | REORDER NOW |
PID_022 | Product_22 | 171 | 81.32 | ?13,905.72 | OK |
PID_023 | Product_23 | 117 | 51.59 | ?6,036.03 | OK |
PID_024 | Product_24 | 181 | 19.65 | ?3,556.65 | OK |
PID_025 | Product_25 | 74 | 72.96 | ?5,399.04 | OK |
PID_026 | Product_26 | 92 | 80.17 | ?7,375.64 | OK |
PID_027 | Product_27 | 163 | 91.68 | ?14,943.84 | OK |
PID_028 | Product_28 | 188 | 8.68 | ?1,631.84 | OK |
PID_029 | Product_29 | 31 | 97.1 | ?3,010.10 | OK |
PID_030 | Product_30 | 194 | 53.06 | ?10,293.64 | OK |
PID_031 | Product_31 | 39 | 30.67 | ?1,196.13 | OK |
PID_032 | Product_32 | 104 | 13.41 | ?1,394.64 | OK |
PID_033 | Product_33 | 142 | 55.38 | ?7,863.96 | OK |
PID_034 | Product_34 | 168 | 87.21 | ?14,651.28 | OK |
PID_035 | Product_35 | 76 | 56.41 | ?4,287.16 | OK |
PID_036 | Product_36 | 111 | 84.47 | ?9,376.17 | OK |
PID_037 | Product_37 | 158 | 99.51 | ?15,722.58 | OK |
PID_038 | Product_38 | 61 | 73.49 | ?4,482.89 | OK |
PID_039 | Product_39 | 147 | 77.35 | ?11,370.45 | OK |
PID_040 | Product_40 | 71 | 31.27 | ?2,220.17 | OK |
PID_041 | Product_41 | 191 | 68.9 | ?13,159.90 | OK |
PID_042 | Product_42 | 169 | 90.02 | ?15,213.38 | OK |
PID_043 | Product_43 | 158 | 38.48 | ?6,079.84 | OK |
PID_044 | Product_44 | 34 | 89.98 | ?3,059.32 | OK |
PID_045 | Product_45 | 84 | 38.76 | ?3,255.84 | OK |
PID_046 | Product_46 | 195 | 28.48 | ?5,553.60 | OK |
PID_047 | Product_47 | 146 | 41.25 | ?6,022.50 | OK |
PID_048 | Product_48 | 19 | 91.79 | ?1,744.01 | REORDER NOW |
PID_049 | Product_49 | 145 | 64.15 | ?9,301.75 | OK |
PID_050 | Product_50 | 164 | 74.16 | ?12,162.24 | OK |
PID_051 | Product_51 | 76 | 87.81 | ?6,673.56 | OK |
PID_052 | Product_52 | 21 | 31.83 | ?668.43 | OK |
PID_053 | Product_53 | 194 | 79.56 | ?15,434.64 | OK |
PID_054 | Product_54 | 49 | 25.61 | ?1,254.89 | OK |
PID_055 | Product_55 | 49 | 76.12 | ?3,729.88 | OK |
PID_056 | Product_56 | 14 | 43.45 | ?608.30 | REORDER NOW |
PID_057 | Product_57 | 9 | 17.03 | ?153.27 | REORDER NOW |
PID_058 | Product_58 | 157 | 11.44 | ?1,796.08 | OK |
PID_059 | Product_59 | 191 | 28.35 | ?5,414.85 | OK |
PID_060 | Product_60 | 185 | 35.03 | ?6,480.55 | OK |
PID_061 | Product_61 | 151 | 79.51 | ?12,006.01 | OK |
PID_062 | Product_62 | 93 | 23.63 | ?2,197.59 | OK |
PID_063 | Product_63 | 147 | 81.46 | ?11,974.62 | OK |
PID_064 | Product_64 | 196 | 32.63 | ?6,395.48 | OK |
PID_065 | Product_65 | 45 | 40.88 | ?1,839.60 | OK |
PID_066 | Product_66 | 181 | 26.01 | ?4,707.81 | OK |
PID_067 | Product_67 | 85 | 14.04 | ?1,193.40 | OK |
PID_068 | Product_68 | 163 | 13.18 | ?2,148.34 | OK |
PID_069 | Product_69 | 129 | 46.82 | ?6,039.78 | OK |
PID_070 | Product_70 | 178 | 9.1 | ?1,619.80 | OK |
PID_071 | Product_71 | 64 | 33.29 | ?2,130.56 | OK |
PID_072 | Product_72 | 119 | 70.25 | ?8,359.75 | OK |
PID_073 | Product_73 | 43 | 94.03 | ?4,043.29 | OK |
PID_074 | Product_74 | 62 | 74.03 | ?4,589.86 | OK |
PID_075 | Product_75 | 20 | 76.76 | ?1,535.20 | OK |
PID_076 | Product_76 | 91 | 75.73 | ?6,891.43 | OK |
PID_077 | Product_77 | 136 | 23.57 | ?3,205.52 | OK |
PID_078 | Product_78 | 176 | 98.77 | ?17,383.52 | OK |
PID_079 | Product_79 | 91 | 56.37 | ?5,129.67 | OK |
PID_080 | Product_80 | 10 | 76.26 | ?762.60 | REORDER NOW |
PID_081 | Product_81 | 170 | 12.94 | ?2,199.80 | OK |
PID_082 | Product_82 | 24 | 3.06 | ?73.44 | OK |
PID_083 | Product_83 | 28 | 78.12 | ?2,187.36 | OK |
PID_084 | Product_84 | 2 | 7.4 | ?14.80 | REORDER NOW |
PID_085 | Product_85 | 94 | 70.23 | ?6,601.62 | OK |
PID_086 | Product_86 | 22 | 55.67 | ?1,224.74 | OK |
PID_087 | Product_87 | 164 | 48.7 | ?7,986.80 | OK |
PID_088 | Product_88 | 76 | 10.07 | ?765.32 | OK |
PID_089 | Product_89 | 22 | 14.69 | ?323.18 | OK |
PID_090 | Product_90 | 51 | 67.57 | ?3,446.07 | OK |
PID_091 | Product_91 | 198 | 97.07 | ?19,219.86 | OK |
PID_092 | Product_92 | 107 | 79.55 | ?8,511.85 | OK |
PID_093 | Product_93 | 104 | 49.88 | ?5,187.52 | OK |
PID_094 | Product_94 | 144 | 68.97 | ?9,931.68 | OK |
PID_095 | Product_95 | 125 | 94.05 | ?11,756.25 | OK |
PID_096 | Product_96 | 42 | 65.47 | ?2,749.74 | OK |
PID_097 | Product_97 | 109 | 81.85 | ?8,921.65 | OK |
PID_098 | Product_98 | 159 | 16.7 | ?2,655.30 | OK |
PID_099 | Product_99 | 23 | 63.78 | ?1,466.94 | OK |
PID_100 | Product_100 | 122 | 50.13 | ?6,115.86 | OK |
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