The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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)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.
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.