Aria AI — Supply Chain
Collection
Operations-research decision-support demos for inventory, routing, warehousing, and sourcing. • 18 items • Updated
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 7 new columns ({'capacity', 'lat', 'lon', 'fixed_cost', 'city', 'committed', 'name'}) and 4 missing columns ({'region_id', 'unit_cost', 'distance_km', 'travel_hours'}).
This happened while the csv dataset builder was generating data using
hf://datasets/AriaAICompany/aria-network-scenarios/data/facilities.csv (at revision de0ba9efe5fa63e04454165ff38e8014fce5e939), ['hf://datasets/AriaAICompany/aria-network-scenarios@de0ba9efe5fa63e04454165ff38e8014fce5e939/data/costs.csv', 'hf://datasets/AriaAICompany/aria-network-scenarios@de0ba9efe5fa63e04454165ff38e8014fce5e939/data/facilities.csv', 'hf://datasets/AriaAICompany/aria-network-scenarios@de0ba9efe5fa63e04454165ff38e8014fce5e939/data/regions.csv', 'hf://datasets/AriaAICompany/aria-network-scenarios@de0ba9efe5fa63e04454165ff38e8014fce5e939/data/settings.csv', 'hf://datasets/AriaAICompany/aria-network-scenarios@de0ba9efe5fa63e04454165ff38e8014fce5e939/data/units.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/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
facility_id: string
name: string
city: string
lat: double
lon: double
fixed_cost: double
capacity: double
committed: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1182
to
{'facility_id': Value('string'), 'region_id': Value('string'), 'distance_km': Value('float64'), 'travel_hours': Value('float64'), 'unit_cost': 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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 7 new columns ({'capacity', 'lat', 'lon', 'fixed_cost', 'city', 'committed', 'name'}) and 4 missing columns ({'region_id', 'unit_cost', 'distance_km', 'travel_hours'}).
This happened while the csv dataset builder was generating data using
hf://datasets/AriaAICompany/aria-network-scenarios/data/facilities.csv (at revision de0ba9efe5fa63e04454165ff38e8014fce5e939), ['hf://datasets/AriaAICompany/aria-network-scenarios@de0ba9efe5fa63e04454165ff38e8014fce5e939/data/costs.csv', 'hf://datasets/AriaAICompany/aria-network-scenarios@de0ba9efe5fa63e04454165ff38e8014fce5e939/data/facilities.csv', 'hf://datasets/AriaAICompany/aria-network-scenarios@de0ba9efe5fa63e04454165ff38e8014fce5e939/data/regions.csv', 'hf://datasets/AriaAICompany/aria-network-scenarios@de0ba9efe5fa63e04454165ff38e8014fce5e939/data/settings.csv', 'hf://datasets/AriaAICompany/aria-network-scenarios@de0ba9efe5fa63e04454165ff38e8014fce5e939/data/units.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.
facility_id string | region_id string | distance_km float64 | travel_hours float64 | unit_cost float64 |
|---|---|---|---|---|
F-TEH | R-KRJ | 43.92 | 0.7985 | 43.0816 |
F-TEH | R-QOM | 125.616 | 2.2839 | 82.2957 |
F-TEH | R-KAS | 189.508 | 3.4456 | 112.9638 |
F-TEH | R-QZV | 140.783 | 2.5597 | 89.5758 |
F-TEH | R-SAV | 119.504 | 2.1728 | 79.3619 |
F-TEH | R-ARK | 234.722 | 4.2677 | 134.6666 |
F-TEH | R-HMD | 279.148 | 5.0754 | 155.991 |
F-TEH | R-MLY | 280.303 | 5.0964 | 156.5454 |
F-TEH | R-KSH | 422.431 | 7.6806 | 224.7669 |
F-TEH | R-SNJ | 400.591 | 7.2835 | 214.2837 |
F-TEH | R-ILM | 508.198 | 9.24 | 265.935 |
F-TEH | R-KHO | 370.118 | 6.7294 | 199.6566 |
F-TEH | R-ZJN | 283.194 | 5.149 | 157.9331 |
F-TEH | R-ARD | 395.809 | 7.1965 | 211.9883 |
F-TEH | R-URM | 600.135 | 10.9115 | 310.0648 |
F-TEH | R-MRG | 497.482 | 9.0451 | 260.7914 |
F-TEH | R-GOR | 302.169 | 5.494 | 167.0411 |
F-TEH | R-SAR | 178.807 | 3.251 | 107.8274 |
F-TEH | R-GNB | 379.773 | 6.905 | 204.291 |
F-TEH | R-SMN | 181.746 | 3.3045 | 109.2381 |
F-TEH | R-YZD | 502.911 | 9.1438 | 263.3973 |
F-TEH | R-SKD | 377.126 | 6.8568 | 203.0205 |
F-TEH | R-YAS | 558.594 | 10.1563 | 290.1251 |
F-TEH | R-BUS | 754.214 | 13.713 | 384.0227 |
F-TEH | R-BND | 1,052.548 | 19.1372 | 527.223 |
F-TEH | R-QSH | 1,075.531 | 19.5551 | 538.2549 |
F-TEH | R-ZAH | 1,122.371 | 20.4067 | 560.7381 |
F-TEH | R-CHB | 1,455.341 | 26.4607 | 720.5637 |
F-TEH | R-BIR | 784.787 | 14.2689 | 398.6978 |
F-TEH | R-SBZ | 569.332 | 10.3515 | 295.2794 |
F-TEH | R-NSH | 669.124 | 12.1659 | 343.1795 |
F-TEH | R-BJN | 566.193 | 10.2944 | 293.7726 |
F-TEH | R-DEZ | 457.991 | 8.3271 | 241.8357 |
F-TEH | R-ABD | 660.196 | 12.0036 | 338.8941 |
F-TEH | R-NJF | 339.708 | 6.1765 | 185.0598 |
F-TEH | R-SHA | 315.186 | 5.7307 | 173.2893 |
F-ISF | R-KRJ | 360.477 | 6.5541 | 195.029 |
F-ISF | R-QOM | 232.617 | 4.2294 | 133.6562 |
F-ISF | R-KAS | 149.863 | 2.7248 | 93.9342 |
F-ISF | R-QZV | 430.941 | 7.8353 | 228.8517 |
F-ISF | R-SAV | 289.691 | 5.2671 | 161.0517 |
F-ISF | R-ARK | 242.919 | 4.4167 | 138.6011 |
F-ISF | R-HMD | 376.674 | 6.8486 | 202.8035 |
F-ISF | R-MLY | 320.831 | 5.8333 | 175.9989 |
F-ISF | R-KSH | 465.001 | 8.4546 | 245.2005 |
F-ISF | R-SNJ | 523.618 | 9.5203 | 273.3366 |
F-ISF | R-ILM | 500.359 | 9.0974 | 262.1723 |
F-ISF | R-KHO | 322.22 | 5.8585 | 176.6656 |
F-ISF | R-ZJN | 533.575 | 9.7014 | 278.116 |
F-ISF | R-ARD | 693.053 | 12.601 | 354.6654 |
F-ISF | R-URM | 809.667 | 14.7212 | 410.6402 |
F-ISF | R-MRG | 722.024 | 13.1277 | 368.5715 |
F-ISF | R-GOR | 530.289 | 9.6416 | 276.5387 |
F-ISF | R-SAR | 452.899 | 8.2345 | 239.3915 |
F-ISF | R-GNB | 602.218 | 10.9494 | 311.0646 |
F-ISF | R-SMN | 361.747 | 6.5772 | 195.6386 |
F-ISF | R-YZD | 266.436 | 4.8443 | 149.8893 |
F-ISF | R-SKD | 83.779 | 1.5233 | 62.2139 |
F-ISF | R-YAS | 220.985 | 4.0179 | 128.0728 |
F-ISF | R-BUS | 422.713 | 7.6857 | 224.9022 |
F-ISF | R-BND | 752.489 | 13.6816 | 383.1947 |
F-ISF | R-QSH | 773.43 | 14.0624 | 393.2464 |
F-ISF | R-ZAH | 943.043 | 17.1462 | 474.6606 |
F-ISF | R-CHB | 1,195.883 | 21.7433 | 596.0238 |
F-ISF | R-BIR | 706.519 | 12.8458 | 361.1291 |
F-ISF | R-SBZ | 678.528 | 12.3369 | 347.6934 |
F-ISF | R-NSH | 763.868 | 13.8885 | 388.6566 |
F-ISF | R-BJN | 743.145 | 13.5117 | 378.7096 |
F-ISF | R-DEZ | 305.681 | 5.5578 | 168.7269 |
F-ISF | R-ABD | 409.88 | 7.4524 | 218.7424 |
F-ISF | R-NJF | 28.46 | 0.5175 | 35.6608 |
F-ISF | R-SHA | 25.038 | 0.4552 | 34.0182 |
F-MHD | R-KRJ | 781.273 | 14.205 | 397.011 |
F-MHD | R-QOM | 811.645 | 14.7572 | 411.5896 |
F-MHD | R-KAS | 787.803 | 14.3237 | 400.1454 |
F-MHD | R-QZV | 861.35 | 15.6609 | 435.448 |
F-MHD | R-SAV | 847.734 | 15.4133 | 428.9123 |
F-MHD | R-ARK | 932.294 | 16.9508 | 469.5011 |
F-MHD | R-HMD | 1,017.121 | 18.4931 | 510.2181 |
F-MHD | R-MLY | 1,003.189 | 18.2398 | 503.5307 |
F-MHD | R-KSH | 1,158.748 | 21.0681 | 578.199 |
F-MHD | R-SNJ | 1,143.182 | 20.7851 | 570.7274 |
F-MHD | R-ILM | 1,236.306 | 22.4783 | 615.4269 |
F-MHD | R-KHO | 1,071.802 | 19.4873 | 536.465 |
F-MHD | R-ZJN | 996.499 | 18.1182 | 500.3195 |
F-MHD | R-ARD | 1,025.592 | 18.6471 | 514.2842 |
F-MHD | R-URM | 1,299.498 | 23.6272 | 645.759 |
F-MHD | R-MRG | 1,196.487 | 21.7543 | 596.3138 |
F-MHD | R-GOR | 466.966 | 8.4903 | 246.1437 |
F-MHD | R-SAR | 587.586 | 10.6834 | 304.0413 |
F-MHD | R-GNB | 411.351 | 7.4791 | 219.4485 |
F-MHD | R-SMN | 565.284 | 10.2779 | 293.3363 |
F-MHD | R-YZD | 685.367 | 12.4612 | 350.9762 |
F-MHD | R-SKD | 914.833 | 16.6333 | 461.1198 |
F-MHD | R-YAS | 969.554 | 17.6283 | 487.3859 |
F-MHD | R-BUS | 1,158.573 | 21.065 | 578.115 |
F-MHD | R-BND | 1,057.703 | 19.231 | 529.6974 |
F-MHD | R-QSH | 1,081.571 | 19.6649 | 541.1541 |
F-MHD | R-ZAH | 761.07 | 13.8376 | 387.3136 |
F-MHD | R-CHB | 1,223.562 | 22.2466 | 609.3098 |
Synthetic 8-candidate / 36-region distribution network used by the live AriaNetwork demo and the organization card.
Generated data, seed 24. Coordinates are approximate public city locations for the map only. fixed_cost and unit_cost are documented synthetic units. They are not rents, land prices, or quoted freight.
distance_km is haversine. travel_hours = distance_km / 55. unit_cost = 22 + 0.48 × distance_km. Rebuild the matrix if you move a coordinate.
CC-BY-4.0. Keep the synthetic-data label.