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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 ({'ocr_data'}) This happened while the csv dataset builder was generating data using hf://datasets/minemaster01/amazonml-2024/dataset/final_train.csv (at revision b284359758b3bca16b64882559d35382b228499d) 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 1870, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast image_link: string group_id: int64 entity_name: string entity_value: string ocr_data: string -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 858 to {'image_link': Value(dtype='string', id=None), 'group_id': Value(dtype='int64', id=None), 'entity_name': Value(dtype='string', id=None), 'entity_value': Value(dtype='string', 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 1417, 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 1049, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 1741, 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 1872, 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 ({'ocr_data'}) This happened while the csv dataset builder was generating data using hf://datasets/minemaster01/amazonml-2024/dataset/final_train.csv (at revision b284359758b3bca16b64882559d35382b228499d) 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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image_link
string | group_id
int64 | entity_name
string | entity_value
string |
---|---|---|---|
748,919 | item_weight | 500.0 gram |
|
916,768 | item_volume | 1.0 cup |
|
459,516 | item_weight | 0.709 gram |
|
459,516 | item_weight | 0.709 gram |
|
731,432 | item_weight | 1400 milligram |
|
731,432 | item_weight | 1400 milligram |
|
731,432 | item_weight | 1400 milligram |
|
731,432 | item_weight | 1400 milligram |
|
731,432 | item_weight | 1400 milligram |
|
731,432 | item_weight | 1400 milligram |
|
149,159 | item_weight | 30.0 kilogram |
|
308,856 | item_weight | 10 kilogram to 15 kilogram |
|
281,678 | item_weight | 3.53 ounce |
|
281,678 | item_weight | 3.53 ounce |
|
281,678 | item_weight | 53 ounce |
|
281,678 | item_weight | 100 gram |
|
731,432 | item_weight | 200 gram |
|
731,432 | item_weight | 1 kilogram |
|
731,432 | item_weight | 200 gram |
|
731,432 | item_weight | 200 gram |
|
731,432 | item_weight | 200 gram |
|
252,585 | item_volume | 4.0 gallon |
|
299,791 | item_weight | 2.7 gram |
|
884,560 | item_weight | 112 gram |
|
179,080 | item_weight | 4.1 kilogram |
|
179,080 | voltage | 48.0 volt |
|
866,516 | item_weight | 158.0 gram |
|
866,516 | item_weight | 158.0 gram |
|
459,516 | item_weight | 5000 milligram |
|
524,635 | item_weight | 18.55 gram |
|
524,635 | item_weight | 18.55 gram |
|
524,635 | item_weight | 18.55 gram |
|
524,635 | item_weight | 18.55 gram |
|
524,635 | item_weight | 18.55 gram |
|
730,429 | item_weight | 50.0 gram |
|
881,883 | item_weight | 26.0 gram |
|
179,080 | wattage | 800.0 watt |
|
179,080 | voltage | 36.0 volt |
|
601,746 | item_weight | 330.0 pound |
|
487,566 | item_weight | 31.0 ounce |
|
794,161 | item_weight | 0.35 ounce |
|
639,090 | item_weight | 35.0 gram |
|
752,266 | wattage | 150.0 watt |
|
752,266 | wattage | 150.0 watt |
|
752,266 | wattage | 30.0 watt |
|
752,266 | wattage | 30.0 watt |
|
299,791 | item_weight | 15.5 gram |
|
237,000 | item_weight | 200.0 gram |
|
179,080 | wattage | 250.0 watt |
|
884,560 | item_volume | 10.0 ounce |
|
844,474 | item_weight | 0.8 kilogram |
|
709,627 | item_weight | 169.0 gram |
|
299,791 | item_weight | 10.0 gram |
|
523,149 | item_weight | 7.0 gram |
|
630,390 | item_weight | 750.0 gram |
|
810,266 | item_weight | 160.0 gram |
|
748,919 | item_weight | 270.0 gram |
|
993,359 | item_weight | 500 gram |
|
731,432 | item_weight | 1 kilogram |
|
731,432 | item_weight | 10 kilogram |
|
731,432 | item_weight | 1 kilogram |
|
731,432 | item_weight | 2.2 pound |
|
752,266 | wattage | 60.0 watt |
|
459,516 | item_volume | 30.0 millilitre |
|
459,516 | item_volume | 30.0 millilitre |
|
459,516 | item_volume | 30.0 millilitre |
|
459,516 | item_volume | 30.0 millilitre |
|
459,516 | item_volume | 30.0 millilitre |
|
529,606 | item_weight | 2 ounce |
|
299,791 | item_weight | 8.1 gram |
|
308,856 | item_weight | 2 kilogram |
|
308,856 | item_weight | 10 kilogram |
|
681,445 | item_weight | 500.0 kilogram |
|
365,637 | item_weight | 200.0 gram |
|
365,637 | item_weight | 200.0 gram |
|
365,637 | item_weight | 200.0 gram |
|
365,637 | item_weight | 200.0 gram |
|
365,637 | item_weight | 100.0 gram |
|
365,637 | item_weight | 200.0 gram |
|
487,566 | item_weight | 5.0 kilogram |
|
767,202 | item_weight | 60.0 pound |
|
369,753 | item_volume | 3.0 cubic foot |
|
731,432 | item_weight | 227 gram |
|
709,627 | item_weight | 100 gram |
|
639,090 | item_weight | 190.0 gram |
|
639,090 | item_weight | 100.0 gram |
|
459,516 | item_weight | 600 milligram |
|
630,869 | item_weight | 3.2 gram |
|
630,869 | item_weight | 6.5 gram |
|
881,883 | item_weight | 160.0 gram |
|
558,374 | item_weight | 42.0 gram |
|
601,746 | item_weight | 26.0 gram |
|
752,266 | wattage | 0.55 watt |
|
254,449 | item_weight | 50.0 milligram |
|
523,149 | item_weight | 10.0 kilogram |
|
416,664 | wattage | 49.0 watt |
|
459,516 | item_weight | 500 milligram |
|
459,516 | item_weight | 500 milligram |
|
241,608 | item_weight | 16.0 gram |
|
308,856 | item_weight | 8 kilogram |
End of preview.