Datasets:

AriaAICompany
/

blend-scenarios

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 ({'raw_text', 'form_id'}) and 4 missing columns ({'unit', 'source', 'nutrient_id', 'value'}).

This happened while the csv dataset builder was generating data using

hf://datasets/AriaAICompany/blend-scenarios/data/forms.csv (at revision 516514c53ca01b066853e6dab5fa9b66623f52f9), ['hf://datasets/AriaAICompany/blend-scenarios@516514c53ca01b066853e6dab5fa9b66623f52f9/data/composition.csv', 'hf://datasets/AriaAICompany/blend-scenarios@516514c53ca01b066853e6dab5fa9b66623f52f9/data/forms.csv', 'hf://datasets/AriaAICompany/blend-scenarios@516514c53ca01b066853e6dab5fa9b66623f52f9/data/gold_extraction.csv', 'hf://datasets/AriaAICompany/blend-scenarios@516514c53ca01b066853e6dab5fa9b66623f52f9/data/ingredients.csv', 'hf://datasets/AriaAICompany/blend-scenarios@516514c53ca01b066853e6dab5fa9b66623f52f9/data/nutrients.csv', 'hf://datasets/AriaAICompany/blend-scenarios@516514c53ca01b066853e6dab5fa9b66623f52f9/data/settings.csv', 'hf://datasets/AriaAICompany/blend-scenarios@516514c53ca01b066853e6dab5fa9b66623f52f9/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
              form_id: string
              ingredient_id: string
              raw_text: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 633
              to
              {'ingredient_id': Value('string'), 'nutrient_id': Value('string'), 'value': Value('float64'), 'unit': Value('string'), 'source': 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 2 new columns ({'raw_text', 'form_id'}) and 4 missing columns ({'unit', 'source', 'nutrient_id', 'value'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/AriaAICompany/blend-scenarios/data/forms.csv (at revision 516514c53ca01b066853e6dab5fa9b66623f52f9), ['hf://datasets/AriaAICompany/blend-scenarios@516514c53ca01b066853e6dab5fa9b66623f52f9/data/composition.csv', 'hf://datasets/AriaAICompany/blend-scenarios@516514c53ca01b066853e6dab5fa9b66623f52f9/data/forms.csv', 'hf://datasets/AriaAICompany/blend-scenarios@516514c53ca01b066853e6dab5fa9b66623f52f9/data/gold_extraction.csv', 'hf://datasets/AriaAICompany/blend-scenarios@516514c53ca01b066853e6dab5fa9b66623f52f9/data/ingredients.csv', 'hf://datasets/AriaAICompany/blend-scenarios@516514c53ca01b066853e6dab5fa9b66623f52f9/data/nutrients.csv', 'hf://datasets/AriaAICompany/blend-scenarios@516514c53ca01b066853e6dab5fa9b66623f52f9/data/settings.csv', 'hf://datasets/AriaAICompany/blend-scenarios@516514c53ca01b066853e6dab5fa9b66623f52f9/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.

ingredient_id string	nutrient_id string	value float64	unit string	source string
I-corn	N-cp	8.5	% as-fed	typical_table
I-corn	N-me	13.8	MJ/kg	typical_table
I-corn	N-ca	0.02	% as-fed	typical_table
I-corn	N-p	0.1	% as-fed	typical_table
I-corn	N-cf	2.2	% as-fed	typical_table
I-corn	N-fat	3.8	% as-fed	typical_table
I-corn	N-lys	0.24	% as-fed	typical_table
I-corn	N-moist	13.5	% as-fed	typical_table
I-sbm	N-cp	44	% as-fed	typical_table
I-sbm	N-me	10.2	MJ/kg	typical_table
I-sbm	N-ca	0.29	% as-fed	typical_table
I-sbm	N-p	0.27	% as-fed	typical_table
I-sbm	N-cf	7	% as-fed	typical_table
I-sbm	N-fat	1.5	% as-fed	typical_table
I-sbm	N-lys	2.7	% as-fed	typical_table
I-sbm	N-moist	11	% as-fed	typical_table
I-wheat	N-cp	11.5	% as-fed	typical_table
I-wheat	N-me	13.2	MJ/kg	typical_table
I-wheat	N-ca	0.05	% as-fed	typical_table
I-wheat	N-p	0.18	% as-fed	typical_table
I-wheat	N-cf	2.5	% as-fed	typical_table
I-wheat	N-fat	1.8	% as-fed	typical_table
I-wheat	N-lys	0.35	% as-fed	typical_table
I-wheat	N-moist	12.5	% as-fed	typical_table
I-bran	N-cp	15.5	% as-fed	typical_table
I-bran	N-me	7.5	MJ/kg	typical_table
I-bran	N-ca	0.14	% as-fed	typical_table
I-bran	N-p	0.4	% as-fed	typical_table
I-bran	N-cf	10	% as-fed	typical_table
I-bran	N-fat	4	% as-fed	typical_table
I-bran	N-lys	0.6	% as-fed	typical_table
I-bran	N-moist	12	% as-fed	typical_table
I-barley	N-cp	11	% as-fed	typical_table
I-barley	N-me	11.5	MJ/kg	typical_table
I-barley	N-ca	0.05	% as-fed	typical_table
I-barley	N-p	0.18	% as-fed	typical_table
I-barley	N-cf	5	% as-fed	typical_table
I-barley	N-fat	2	% as-fed	typical_table
I-barley	N-lys	0.4	% as-fed	typical_table
I-barley	N-moist	12	% as-fed	typical_table
I-ddgs	N-cp	27	% as-fed	typical_table
I-ddgs	N-me	11.8	MJ/kg	typical_table
I-ddgs	N-ca	0.12	% as-fed	typical_table
I-ddgs	N-p	0.4	% as-fed	typical_table
I-ddgs	N-cf	8.5	% as-fed	typical_table
I-ddgs	N-fat	10	% as-fed	typical_table
I-ddgs	N-lys	0.75	% as-fed	typical_table
I-ddgs	N-moist	11	% as-fed	typical_table
I-oil	N-cp	0	% as-fed	typical_table
I-oil	N-me	36.5	MJ/kg	typical_table
I-oil	N-ca	0	% as-fed	typical_table
I-oil	N-p	0	% as-fed	typical_table
I-oil	N-cf	0	% as-fed	typical_table
I-oil	N-fat	99	% as-fed	typical_table
I-oil	N-lys	0	% as-fed	typical_table
I-oil	N-moist	0.5	% as-fed	typical_table
I-dcp	N-cp	0	% as-fed	typical_table
I-dcp	N-me	0	MJ/kg	typical_table
I-dcp	N-ca	22	% as-fed	typical_table
I-dcp	N-p	18.5	% as-fed	typical_table
I-dcp	N-cf	0	% as-fed	typical_table
I-dcp	N-fat	0	% as-fed	typical_table
I-dcp	N-lys	0	% as-fed	typical_table
I-dcp	N-moist	3	% as-fed	typical_table
I-lime	N-cp	0	% as-fed	typical_table
I-lime	N-me	0	MJ/kg	typical_table
I-lime	N-ca	38	% as-fed	typical_table
I-lime	N-p	0	% as-fed	typical_table
I-lime	N-cf	0	% as-fed	typical_table
I-lime	N-fat	0	% as-fed	typical_table
I-lime	N-lys	0	% as-fed	typical_table
I-lime	N-moist	1	% as-fed	typical_table
I-salt	N-cp	0	% as-fed	typical_table
I-salt	N-me	0	MJ/kg	typical_table
I-salt	N-ca	0	% as-fed	typical_table
I-salt	N-p	0	% as-fed	typical_table
I-salt	N-cf	0	% as-fed	typical_table
I-salt	N-fat	0	% as-fed	typical_table
I-salt	N-lys	0	% as-fed	typical_table
I-salt	N-moist	0.2	% as-fed	typical_table
I-premix	N-cp	0	% as-fed	typical_table
I-premix	N-me	0	MJ/kg	typical_table
I-premix	N-ca	0	% as-fed	typical_table
I-premix	N-p	0	% as-fed	typical_table
I-premix	N-cf	0	% as-fed	typical_table
I-premix	N-fat	0	% as-fed	typical_table
I-premix	N-lys	0	% as-fed	typical_table
I-premix	N-moist	8	% as-fed	typical_table
I-molasses	N-cp	4	% as-fed	typical_table
I-molasses	N-me	8	MJ/kg	typical_table
I-molasses	N-ca	0.8	% as-fed	typical_table
I-molasses	N-p	0.08	% as-fed	typical_table
I-molasses	N-cf	0	% as-fed	typical_table
I-molasses	N-fat	0.1	% as-fed	typical_table
I-molasses	N-lys	0	% as-fed	typical_table
I-molasses	N-moist	26	% as-fed	typical_table
I-fish	N-cp	62	% as-fed	typical_table
I-fish	N-me	13	MJ/kg	typical_table
I-fish	N-ca	4.5	% as-fed	typical_table
I-fish	N-p	2.8	% as-fed	typical_table

End of preview.

Blend layer-mash scenarios

Synthetic 14-ingredient / 8-nutrient layer-mash batch for the Blend least-cost formulation demo.

Live Gradio app and organization card: alirezaaminzadeh/blend and AriaAICompany/blend. Collection: Aria AI — Manufacturing.

Generated data, seed 24. Prices, inventories and typical compositions are synthetic. They are not a licensed mill formula and not a nutrition prescription.

Files

data/ingredients.csv
data/nutrients.csv
data/composition.csv
data/forms.csv
data/gold_extraction.csv
data/settings.csv
data/units.csv
data/sample_preview.json

Units

Nutrient percentages are % as-fed (g/100 g). Energy is MJ/kg. Prices are USD per wet tonne. Batch mass is 1000 kg.

COA gold values already include conversions: 2450 kcal/kg → 10.2508 MJ/kg; 380 g/kg calcium → 38%.

License

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

Downloads last month: 23

Total file size:

15.3 kB

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