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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 2 new columns ({'age_hours', 'demand_proxy'}) and 1 missing columns ({'stall'}).
This happened while the csv dataset builder was generating data using
hf://datasets/KB-Infinity-Tech/AIMSRICHackatonDay1DatasetSample/sales_history.csv (at revision c76ba97fc730e0f7669a9883ee1604291cf33b23), [/tmp/hf-datasets-cache/medium/datasets/68307046933587-config-parquet-and-info-KB-Infinity-Tech-AIMSRICH-61cd6756/hub/datasets--KB-Infinity-Tech--AIMSRICHackatonDay1DatasetSample/snapshots/c76ba97fc730e0f7669a9883ee1604291cf33b23/competitor_prices.csv (origin=hf://datasets/KB-Infinity-Tech/AIMSRICHackatonDay1DatasetSample@c76ba97fc730e0f7669a9883ee1604291cf33b23/competitor_prices.csv), /tmp/hf-datasets-cache/medium/datasets/68307046933587-config-parquet-and-info-KB-Infinity-Tech-AIMSRICH-61cd6756/hub/datasets--KB-Infinity-Tech--AIMSRICHackatonDay1DatasetSample/snapshots/c76ba97fc730e0f7669a9883ee1604291cf33b23/sales_history.csv (origin=hf://datasets/KB-Infinity-Tech/AIMSRICHackatonDay1DatasetSample@c76ba97fc730e0f7669a9883ee1604291cf33b23/sales_history.csv), /tmp/hf-datasets-cache/medium/datasets/68307046933587-config-parquet-and-info-KB-Infinity-Tech-AIMSRICH-61cd6756/hub/datasets--KB-Infinity-Tech--AIMSRICHackatonDay1DatasetSample/snapshots/c76ba97fc730e0f7669a9883ee1604291cf33b23/stock.csv (origin=hf://datasets/KB-Infinity-Tech/AIMSRICHackatonDay1DatasetSample@c76ba97fc730e0f7669a9883ee1604291cf33b23/stock.csv), /tmp/hf-datasets-cache/medium/datasets/68307046933587-config-parquet-and-info-KB-Infinity-Tech-AIMSRICH-61cd6756/hub/datasets--KB-Infinity-Tech--AIMSRICHackatonDay1DatasetSample/snapshots/c76ba97fc730e0f7669a9883ee1604291cf33b23/synthetic_perishable_market.csv (origin=hf://datasets/KB-Infinity-Tech/AIMSRICHackatonDay1DatasetSample@c76ba97fc730e0f7669a9883ee1604291cf33b23/synthetic_perishable_market.csv)]
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 1893, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
timestamp: string
product: string
price: double
age_hours: double
demand_proxy: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 849
to
{'timestamp': Value('string'), 'stall': Value('string'), 'product': Value('string'), 'price': Value('float64')}
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 1347, 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 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1895, 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 2 new columns ({'age_hours', 'demand_proxy'}) and 1 missing columns ({'stall'}).
This happened while the csv dataset builder was generating data using
hf://datasets/KB-Infinity-Tech/AIMSRICHackatonDay1DatasetSample/sales_history.csv (at revision c76ba97fc730e0f7669a9883ee1604291cf33b23), [/tmp/hf-datasets-cache/medium/datasets/68307046933587-config-parquet-and-info-KB-Infinity-Tech-AIMSRICH-61cd6756/hub/datasets--KB-Infinity-Tech--AIMSRICHackatonDay1DatasetSample/snapshots/c76ba97fc730e0f7669a9883ee1604291cf33b23/competitor_prices.csv (origin=hf://datasets/KB-Infinity-Tech/AIMSRICHackatonDay1DatasetSample@c76ba97fc730e0f7669a9883ee1604291cf33b23/competitor_prices.csv), /tmp/hf-datasets-cache/medium/datasets/68307046933587-config-parquet-and-info-KB-Infinity-Tech-AIMSRICH-61cd6756/hub/datasets--KB-Infinity-Tech--AIMSRICHackatonDay1DatasetSample/snapshots/c76ba97fc730e0f7669a9883ee1604291cf33b23/sales_history.csv (origin=hf://datasets/KB-Infinity-Tech/AIMSRICHackatonDay1DatasetSample@c76ba97fc730e0f7669a9883ee1604291cf33b23/sales_history.csv), /tmp/hf-datasets-cache/medium/datasets/68307046933587-config-parquet-and-info-KB-Infinity-Tech-AIMSRICH-61cd6756/hub/datasets--KB-Infinity-Tech--AIMSRICHackatonDay1DatasetSample/snapshots/c76ba97fc730e0f7669a9883ee1604291cf33b23/stock.csv (origin=hf://datasets/KB-Infinity-Tech/AIMSRICHackatonDay1DatasetSample@c76ba97fc730e0f7669a9883ee1604291cf33b23/stock.csv), /tmp/hf-datasets-cache/medium/datasets/68307046933587-config-parquet-and-info-KB-Infinity-Tech-AIMSRICH-61cd6756/hub/datasets--KB-Infinity-Tech--AIMSRICHackatonDay1DatasetSample/snapshots/c76ba97fc730e0f7669a9883ee1604291cf33b23/synthetic_perishable_market.csv (origin=hf://datasets/KB-Infinity-Tech/AIMSRICHackatonDay1DatasetSample@c76ba97fc730e0f7669a9883ee1604291cf33b23/synthetic_perishable_market.csv)]
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.
timestamp string | stall string | product string | price float64 |
|---|---|---|---|
2026-01-01 00:00:00 | stall_0 | tomato | 2,235.785215 |
2026-01-01 00:00:00 | stall_0 | milk | 2,403.102495 |
2026-01-01 00:00:00 | stall_0 | tilapia | 1,609.740144 |
2026-01-01 00:00:00 | stall_0 | banana | 2,721.883002 |
2026-01-01 00:00:00 | stall_1 | tomato | 2,019.748097 |
2026-01-01 00:00:00 | stall_1 | milk | 1,200.646964 |
2026-01-01 00:00:00 | stall_1 | tilapia | 1,616.962017 |
2026-01-01 00:00:00 | stall_1 | banana | 1,109.209715 |
2026-01-01 00:00:00 | stall_2 | tomato | 3,146.205729 |
2026-01-01 00:00:00 | stall_2 | milk | 1,866.305009 |
2026-01-01 00:00:00 | stall_2 | tilapia | 2,733.904508 |
2026-01-01 00:00:00 | stall_2 | banana | 1,300.483447 |
2026-01-01 00:00:00 | stall_3 | tomato | 2,961.718853 |
2026-01-01 00:00:00 | stall_3 | milk | 2,478.125595 |
2026-01-01 00:00:00 | stall_3 | tilapia | 1,943.440061 |
2026-01-01 00:00:00 | stall_3 | banana | 2,336.239044 |
2026-01-01 00:00:00 | stall_4 | tomato | 826.208742 |
2026-01-01 00:00:00 | stall_4 | milk | 2,960.83937 |
2026-01-01 00:00:00 | stall_4 | tilapia | 1,162.853373 |
2026-01-01 00:00:00 | stall_4 | banana | 1,868.870164 |
2026-01-01 00:00:00 | stall_5 | tomato | 2,921.903103 |
2026-01-01 00:00:00 | stall_5 | milk | 1,784.332111 |
2026-01-01 00:00:00 | stall_5 | tilapia | 1,214.974227 |
2026-01-01 00:00:00 | stall_5 | banana | 2,956.063323 |
2026-01-01 00:00:00 | stall_6 | tomato | 3,446.259493 |
2026-01-01 00:00:00 | stall_6 | milk | 2,185.113464 |
2026-01-01 00:00:00 | stall_6 | tilapia | 3,180.420995 |
2026-01-01 00:00:00 | stall_6 | banana | 1,324.222759 |
2026-01-01 00:00:00 | stall_7 | tomato | 1,231.828637 |
2026-01-01 00:00:00 | stall_7 | milk | 1,959.895169 |
2026-01-01 00:00:00 | stall_7 | tilapia | 2,358.461185 |
2026-01-01 00:00:00 | stall_7 | banana | 1,403.861688 |
2026-01-01 00:00:00 | stall_8 | tomato | 2,291.33603 |
2026-01-01 00:00:00 | stall_8 | milk | 2,514.217646 |
2026-01-01 00:00:00 | stall_8 | tilapia | 2,716.451414 |
2026-01-01 00:00:00 | stall_8 | banana | 2,263.904745 |
2026-01-01 00:00:00 | stall_9 | tomato | 1,502.364695 |
2026-01-01 00:00:00 | stall_9 | milk | 929.401561 |
2026-01-01 00:00:00 | stall_9 | tilapia | 2,297.211293 |
2026-01-01 00:00:00 | stall_9 | banana | 1,130.140013 |
2026-01-01 00:00:00 | stall_10 | tomato | 794.704997 |
2026-01-01 00:00:00 | stall_10 | milk | 2,030.003167 |
2026-01-01 00:00:00 | stall_10 | tilapia | 1,976.137049 |
2026-01-01 00:00:00 | stall_10 | banana | 1,572.734969 |
2026-01-01 00:00:00 | stall_11 | tomato | 2,445.697686 |
2026-01-01 00:00:00 | stall_11 | milk | 2,404.336316 |
2026-01-01 00:00:00 | stall_11 | tilapia | 2,583.069742 |
2026-01-01 00:00:00 | stall_11 | banana | 2,831.779422 |
2026-01-01 01:00:00 | stall_0 | tomato | 1,351.365281 |
2026-01-01 01:00:00 | stall_0 | milk | 2,949.525233 |
2026-01-01 01:00:00 | stall_0 | tilapia | 1,584.21454 |
2026-01-01 01:00:00 | stall_0 | banana | 1,159.303548 |
2026-01-01 01:00:00 | stall_1 | tomato | 962.627739 |
2026-01-01 01:00:00 | stall_1 | milk | 1,011.294784 |
2026-01-01 01:00:00 | stall_1 | tilapia | 1,999.018146 |
2026-01-01 01:00:00 | stall_1 | banana | 1,746.220711 |
2026-01-01 01:00:00 | stall_2 | tomato | 1,935.343987 |
2026-01-01 01:00:00 | stall_2 | milk | 1,070.256768 |
2026-01-01 01:00:00 | stall_2 | tilapia | 801.525461 |
2026-01-01 01:00:00 | stall_2 | banana | 1,275.993301 |
2026-01-01 01:00:00 | stall_3 | tomato | 881.888814 |
2026-01-01 01:00:00 | stall_3 | milk | 1,653.925358 |
2026-01-01 01:00:00 | stall_3 | tilapia | 1,603.035413 |
2026-01-01 01:00:00 | stall_3 | banana | 1,998.386236 |
2026-01-01 01:00:00 | stall_4 | tomato | 2,656.880606 |
2026-01-01 01:00:00 | stall_4 | milk | 1,089.687402 |
2026-01-01 01:00:00 | stall_4 | tilapia | 2,453.811804 |
2026-01-01 01:00:00 | stall_4 | banana | 1,538.574125 |
2026-01-01 01:00:00 | stall_5 | tomato | 2,214.656629 |
2026-01-01 01:00:00 | stall_5 | milk | 1,211.584875 |
2026-01-01 01:00:00 | stall_5 | tilapia | 1,932.147835 |
2026-01-01 01:00:00 | stall_5 | banana | 1,593.496179 |
2026-01-01 01:00:00 | stall_6 | tomato | 2,104.671578 |
2026-01-01 01:00:00 | stall_6 | milk | 1,442.111008 |
2026-01-01 01:00:00 | stall_6 | tilapia | 2,779.157088 |
2026-01-01 01:00:00 | stall_6 | banana | 1,738.411764 |
2026-01-01 01:00:00 | stall_7 | tomato | 1,801.766974 |
2026-01-01 01:00:00 | stall_7 | milk | 1,241.125355 |
2026-01-01 01:00:00 | stall_7 | tilapia | 1,395.336352 |
2026-01-01 01:00:00 | stall_7 | banana | 1,377.98354 |
2026-01-01 01:00:00 | stall_8 | tomato | 1,347.049336 |
2026-01-01 01:00:00 | stall_8 | milk | 2,836.630984 |
2026-01-01 01:00:00 | stall_8 | tilapia | 2,493.034926 |
2026-01-01 01:00:00 | stall_8 | banana | 1,661.542109 |
2026-01-01 01:00:00 | stall_9 | tomato | 2,033.260596 |
2026-01-01 01:00:00 | stall_9 | milk | 2,389.942311 |
2026-01-01 01:00:00 | stall_9 | tilapia | 1,010.576166 |
2026-01-01 01:00:00 | stall_9 | banana | 1,668.767968 |
2026-01-01 01:00:00 | stall_10 | tomato | 1,966.965152 |
2026-01-01 01:00:00 | stall_10 | milk | 3,064.589496 |
2026-01-01 01:00:00 | stall_10 | tilapia | 1,163.977943 |
2026-01-01 01:00:00 | stall_10 | banana | 1,049.69039 |
2026-01-01 01:00:00 | stall_11 | tomato | 1,045.035632 |
2026-01-01 01:00:00 | stall_11 | milk | 1,287.360091 |
2026-01-01 01:00:00 | stall_11 | tilapia | 2,423.695003 |
2026-01-01 01:00:00 | stall_11 | banana | 1,901.401692 |
2026-01-01 02:00:00 | stall_0 | tomato | 2,616.58 |
2026-01-01 02:00:00 | stall_0 | milk | 1,911.230973 |
2026-01-01 02:00:00 | stall_0 | tilapia | 2,961.335544 |
2026-01-01 02:00:00 | stall_0 | banana | 1,232.379086 |
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