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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 17 new columns ({'reason', 'capacity', 'source_span', 'extraction_method', 'pack_size', 'sku_id', 'confidence', 'tier_min_qty', 'moq', 'currency', 'tier_max_qty', 'confirmed', 'needs_confirmation', 'unit_price', 'lead_days', 'unit', 'tier_id'}) and 3 missing columns ({'title', 'text', 'clause_id'}).

This happened while the csv dataset builder was generating data using

hf://datasets/AriaAICompany/aria-source-scenarios/data/extracted_quotes.csv (at revision ced731e4145d4511e568b43a2d77e1ffc4954306), ['hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/clauses.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/extracted_quotes.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/extraction_scores.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/gold_quotes.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/quotes.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/settings.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/skus.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/suppliers.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/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
              quote_id: string
              supplier_id: string
              sku_id: string
              page: int64
              unit_price: double
              currency: string
              pack_size: int64
              moq: double
              capacity: int64
              lead_days: int64
              unit: string
              tier_id: int64
              tier_min_qty: int64
              tier_max_qty: int64
              source_span: string
              confirmed: int64
              needs_confirmation: int64
              confidence: double
              reason: string
              extraction_method: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2618
              to
              {'quote_id': Value('string'), 'supplier_id': Value('string'), 'page': Value('int64'), 'clause_id': Value('string'), 'title': Value('string'), 'text': 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 17 new columns ({'reason', 'capacity', 'source_span', 'extraction_method', 'pack_size', 'sku_id', 'confidence', 'tier_min_qty', 'moq', 'currency', 'tier_max_qty', 'confirmed', 'needs_confirmation', 'unit_price', 'lead_days', 'unit', 'tier_id'}) and 3 missing columns ({'title', 'text', 'clause_id'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/AriaAICompany/aria-source-scenarios/data/extracted_quotes.csv (at revision ced731e4145d4511e568b43a2d77e1ffc4954306), ['hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/clauses.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/extracted_quotes.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/extraction_scores.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/gold_quotes.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/quotes.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/settings.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/skus.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/data/suppliers.csv', 'hf://datasets/AriaAICompany/aria-source-scenarios@ced731e4145d4511e568b43a2d77e1ffc4954306/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.

quote_id
string
supplier_id
string
page
int64
clause_id
string
title
string
text
string
Q-NORTH-2026-09
NORTHSTAR
2
NS-INCO
Incoterms
Delivery is FCA Chicago warehouse. Buyer books main carriage and insurance after pickup.
Q-NORTH-2026-09
NORTHSTAR
2
NS-PAY
Payment
Payment terms Net 30 from invoice date. Overdue invoices accrue 1.0 percent per month.
Q-NORTH-2026-09
NORTHSTAR
2
NS-LATE
Late delivery
Late delivery penalty is 0.5 percent of the delayed line per week after a 10-day grace, capped at 5 percent. This is a contractual score, not a default probability.
Q-BALTIC-2026-09
BALTIC
2
BL-INCO
Incoterms
Angebot prices are DAP Hamburg. Prices are in EUR; convert with the buyer FX rate before award.
Q-BALTIC-2026-09
BALTIC
2
BL-PAY
Payment
2 percent discount for payment within 14 days, otherwise Net 45. Exclusive DACH resale terms do not apply to export lots.
Q-BALTIC-2026-09
BALTIC
2
BL-LATE
Late delivery
Delay liquidated damages are 1.0 percent of the late quantity value per week, maximum 8 percent.
Q-CASPIAN-2026-09
CASPIAN
2
CS-PAY
Payment
40 percent advance telegraphic transfer is required before production. Balance before pickup EXW Gebze.
Q-CASPIAN-2026-09
CASPIAN
2
CS-LATE
Late delivery
Late delivery penalty is not specified. Delay risk sits with the buyer. Do not treat the cheap unit price as on-time certainty.
Q-CASPIAN-2026-09
CASPIAN
2
CS-WAR
Warranty
No warranty on seals after installation. Bearings carry 90 days uninstalled only.
Q-DESERT-2026-09
DESERT
2
DS-TIER
Volume prices
Volume prices apply to a single release of one SKU. Mixing SKUs does not unlock a lower tier. CIF Jebel Ali.
Q-DESERT-2026-09
DESERT
2
DS-PAY
Payment
Payment by letter of credit at 30 days. Late delivery credit is 0.25 percent per week after the promised lead time.
Q-EAGLE-2026-09
EAGLE
2
EG-PAY
Payment
100 percent TT before shipment FOB Shanghai. Minimum order quantities may still be confirmed by sales.
Q-EAGLE-2026-09
EAGLE
2
EG-MOQ
MOQ
Some lines omit MOQ on the price page. Those fields need buyer confirmation before they may enter the award model. Persian note: حداقل سفارش باید تایید شود.
Q-BALTIC-2026-09
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End of preview.

AriaSource quote award scenarios

Synthetic 18-SKU / 5-supplier quote pack used by the live AriaSource demo on the Aria AI Supply Chain collection.

Generated data, seed 24. Prices, freight and risk scores are demo values, not a supplier extract. risk_score is a contractual input, not a calibrated default probability.

Files

  • data/skus.csv
  • data/suppliers.csv
  • data/gold_quotes.csv
  • data/quotes.csv
  • data/clauses.csv
  • data/extracted_quotes.csv
  • data/extraction_scores.csv
  • data/settings.csv
  • data/units.csv
  • data/sample_preview.json
  • data/quotes/*.pdf

Extraction vs optimization

Field accuracy and page citation are scored on the CPU parser versus gold_quotes.csv. They are not award KPIs. Price, currency and MOQ must be confirmed before they may enter the MIP.

License

CC-BY-4.0. Keep the synthetic-data label.

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