Aria AI — Supply Chain
Collection
Operations-research decision-support demos for inventory, routing, warehousing, and sourcing. • 18 items • Updated
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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 5 new columns ({'distance_type', 'minutes', 'km', 'to_id', 'from_id'}) and 11 missing columns ({'name', 'lat', 'lon', 'customer_id', 'weight_kg', 'mandatory', 'window_end', 'service_min', 'priority', 'volume_m3', 'window_start'}).
This happened while the csv dataset builder was generating data using
hf://datasets/AriaAICompany/aria-route-scenarios/data/travel_times.csv (at revision e74bbffd3b17845d1cdabdd3296aa0ed0596d610), ['hf://datasets/AriaAICompany/aria-route-scenarios@e74bbffd3b17845d1cdabdd3296aa0ed0596d610/data/customers.csv', 'hf://datasets/AriaAICompany/aria-route-scenarios@e74bbffd3b17845d1cdabdd3296aa0ed0596d610/data/travel_times.csv', 'hf://datasets/AriaAICompany/aria-route-scenarios@e74bbffd3b17845d1cdabdd3296aa0ed0596d610/data/vehicles.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
from_id: string
to_id: string
km: double
minutes: int64
distance_type: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 846
to
{'customer_id': Value('string'), 'name': Value('string'), 'lat': Value('float64'), 'lon': Value('float64'), 'weight_kg': Value('int64'), 'volume_m3': Value('float64'), 'service_min': Value('int64'), 'window_start': Value('int64'), 'window_end': Value('int64'), 'mandatory': Value('bool'), 'priority': 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 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 5 new columns ({'distance_type', 'minutes', 'km', 'to_id', 'from_id'}) and 11 missing columns ({'name', 'lat', 'lon', 'customer_id', 'weight_kg', 'mandatory', 'window_end', 'service_min', 'priority', 'volume_m3', 'window_start'}).
This happened while the csv dataset builder was generating data using
hf://datasets/AriaAICompany/aria-route-scenarios/data/travel_times.csv (at revision e74bbffd3b17845d1cdabdd3296aa0ed0596d610), ['hf://datasets/AriaAICompany/aria-route-scenarios@e74bbffd3b17845d1cdabdd3296aa0ed0596d610/data/customers.csv', 'hf://datasets/AriaAICompany/aria-route-scenarios@e74bbffd3b17845d1cdabdd3296aa0ed0596d610/data/travel_times.csv', 'hf://datasets/AriaAICompany/aria-route-scenarios@e74bbffd3b17845d1cdabdd3296aa0ed0596d610/data/vehicles.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.
customer_id string | name string | lat float64 | lon float64 | weight_kg int64 | volume_m3 float64 | service_min int64 | window_start int64 | window_end int64 | mandatory bool | priority string |
|---|---|---|---|---|---|---|---|---|---|---|
C001 | Site 001 | 35.67516 | 51.43901 | 30 | 0.38 | 12 | 750 | 870 | true | must |
C002 | Site 002 | 35.84514 | 51.42632 | 40 | 0.5 | 12 | 737 | 887 | false | optional |
C003 | Site 003 | 35.87144 | 51.37098 | 18 | 0.23 | 12 | 722 | 872 | true | must |
C004 | Site 004 | 35.65849 | 51.23709 | 70 | 0.88 | 8 | 772 | 892 | true | must |
C005 | Site 005 | 35.71642 | 51.27162 | 40 | 0.5 | 18 | 548 | 668 | true | must |
C006 | Site 006 | 35.66424 | 51.52287 | 40 | 0.5 | 8 | 516 | 666 | true | must |
C007 | Site 007 | 35.81628 | 51.48601 | 24 | 0.3 | 10 | 543 | 663 | false | optional |
C008 | Site 008 | 35.65274 | 51.33364 | 18 | 0.23 | 10 | 768 | 918 | true | must |
C009 | Site 009 | 35.83761 | 51.43299 | 18 | 0.23 | 10 | 766 | 916 | false | optional |
C010 | Site 010 | 35.72512 | 51.42802 | 55 | 0.69 | 10 | 734 | 854 | true | must |
C011 | Site 011 | 35.79598 | 51.21437 | 55 | 0.69 | 10 | 727 | 877 | true | must |
C012 | Site 012 | 35.73338 | 51.26236 | 8 | 0.1 | 15 | 752 | 842 | true | must |
C013 | Site 013 | 35.73778 | 51.50098 | 70 | 0.88 | 18 | 778 | 958 | true | must |
C014 | Site 014 | 35.64974 | 51.18782 | 8 | 0.1 | 18 | 566 | 656 | false | optional |
C015 | Site 015 | 35.65416 | 51.36347 | 55 | 0.69 | 10 | 527 | 707 | true | must |
C016 | Site 016 | 35.6388 | 51.4066 | 12 | 0.15 | 15 | 480 | 600 | true | must |
C017 | Site 017 | 35.81185 | 51.47529 | 40 | 0.5 | 12 | 752 | 842 | true | must |
C018 | Site 018 | 35.7018 | 51.44969 | 18 | 0.23 | 8 | 534 | 624 | true | must |
C019 | Site 019 | 35.79228 | 51.37863 | 30 | 0.38 | 15 | 722 | 842 | false | optional |
C020 | Site 020 | 35.65118 | 51.41612 | 12 | 0.15 | 12 | 568 | 658 | false | optional |
C021 | Site 021 | 35.74101 | 51.21463 | 55 | 0.69 | 12 | 510 | 630 | true | must |
C022 | Site 022 | 35.65763 | 51.29171 | 40 | 0.5 | 18 | 563 | 653 | false | optional |
C023 | Site 023 | 35.69236 | 51.29535 | 24 | 0.3 | 8 | 522 | 672 | true | must |
C024 | Site 024 | 35.75416 | 51.54176 | 30 | 0.38 | 8 | 519 | 609 | true | must |
C025 | Site 025 | 35.70572 | 51.26135 | 12 | 0.15 | 18 | 487 | 607 | false | optional |
C026 | Site 026 | 35.65662 | 51.4106 | 40 | 0.5 | 18 | 566 | 746 | true | must |
C027 | Site 027 | 35.80186 | 51.18227 | 30 | 0.38 | 10 | 762 | 882 | true | must |
C028 | Site 028 | 35.60689 | 51.22799 | 70 | 0.88 | 12 | 739 | 829 | true | must |
C029 | Site 029 | 35.67858 | 51.43634 | 55 | 0.69 | 12 | 485 | 575 | false | optional |
C030 | Site 030 | 35.69212 | 51.54139 | 12 | 0.15 | 8 | 508 | 628 | true | must |
C031 | Site 031 | 35.78014 | 51.41953 | 18 | 0.23 | 15 | 735 | 885 | true | must |
C032 | Site 032 | 35.76423 | 51.33981 | 40 | 0.5 | 10 | 764 | 944 | true | must |
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End of preview.
AriaRoute distribution scenarios
Synthetic one-depot CVRPTW instance used by AriaRoute.
Generated data, seed 24. Coordinates are schematic, not a customer extract.
Files
| File | Grain | Notes |
|---|---|---|
data/customers.csv |
32 stops | Weight, service, window, mandatory flag |
data/vehicles.csv |
5 vans | Capacity, shift, enabled |
data/travel_times.csv |
from×to | Straight-line km and minutes at 22 km/h |
data/sample_preview.json |
one solved run | Precomputed KPIs, labeled as a sample |
travel_times.distance_type is straight_line_approx. Do not treat minutes as traffic-aware driving time.
License
CC-BY-4.0. Keep the synthetic-data label.
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