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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 6 new columns ({'source_url', 'distillery_id', 'source_name', 'region', 'country', 'name'}) and 5 missing columns ({'category', 'description', 'wood_species', 'specific_style', 'sub_type'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Ichlibitiche/whiskydb-fine-spirits-sample/distilleries.csv (at revision 25896b812f810762c1922d77bd6438c1dd7bd764), ['hf://datasets/Ichlibitiche/whiskydb-fine-spirits-sample@25896b812f810762c1922d77bd6438c1dd7bd764/casks_taxonomy.csv', 'hf://datasets/Ichlibitiche/whiskydb-fine-spirits-sample@25896b812f810762c1922d77bd6438c1dd7bd764/distilleries.csv', 'hf://datasets/Ichlibitiche/whiskydb-fine-spirits-sample@25896b812f810762c1922d77bd6438c1dd7bd764/flavors_taxonomy.csv', 'hf://datasets/Ichlibitiche/whiskydb-fine-spirits-sample@25896b812f810762c1922d77bd6438c1dd7bd764/spirits.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 1837, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
distillery_id: int64
name: string
country: string
region: string
source_name: string
source_url: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 977
to
{'category': Value('string'), 'sub_type': Value('string'), 'specific_style': Value('string'), 'wood_species': Value('string'), 'description': 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 1683, 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 1839, 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 6 new columns ({'source_url', 'distillery_id', 'source_name', 'region', 'country', 'name'}) and 5 missing columns ({'category', 'description', 'wood_species', 'specific_style', 'sub_type'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Ichlibitiche/whiskydb-fine-spirits-sample/distilleries.csv (at revision 25896b812f810762c1922d77bd6438c1dd7bd764), ['hf://datasets/Ichlibitiche/whiskydb-fine-spirits-sample@25896b812f810762c1922d77bd6438c1dd7bd764/casks_taxonomy.csv', 'hf://datasets/Ichlibitiche/whiskydb-fine-spirits-sample@25896b812f810762c1922d77bd6438c1dd7bd764/distilleries.csv', 'hf://datasets/Ichlibitiche/whiskydb-fine-spirits-sample@25896b812f810762c1922d77bd6438c1dd7bd764/flavors_taxonomy.csv', 'hf://datasets/Ichlibitiche/whiskydb-fine-spirits-sample@25896b812f810762c1922d77bd6438c1dd7bd764/spirits.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.
category string | sub_type string | specific_style string | wood_species string | description string |
|---|---|---|---|---|
Sherry | Pedro Ximenez | PX Sherry Butt | Quercus alba | Sweet dark sherry cask |
Sherry | Oloroso | Oloroso Sherry Puncheon | Quercus robur | Dry nutty sherry cask |
Bourbon | Ex-Bourbon | 1st Fill Bourbon Barrel | Quercus alba | Standard American oak barrel |
Bourbon | Ex-Bourbon | Refill Bourbon Barrel | Quercus alba | Refill American oak barrel |
Port | Ruby Port | Ruby Port Pipe | Quercus robur | Fruity wine cask |
Port | Tawny Port | Tawny Port Pipe | Quercus robur | Aged nutty wine cask |
Rum | Caribbean Rum | Rum Cask | Quercus alba | Sweet tropical rum cask |
Wine | Red Wine | Bordeaux Wine Cask | Quercus robur | French oak wine cask |
Virgin Oak | American Oak | Virgin American Oak | Quercus alba | New charred oak barrel |
Virgin Oak | European Oak | Virgin Spanish Oak | Quercus robur | New European oak barrel |
Sherry | Generic Sherry | Sherry Butt | Quercus robur | Generic sherry-seasoned cask |
Bourbon | Ex-Bourbon | American Oak Cask | Quercus alba | Seasoned American oak cask |
Japanese Oak | Mizunara | Mizunara Oak Cask | Quercus mongolica | Japanese Mizunara oak cask |
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🥃 WhiskyDB — Fine Spirits & Whisky Dataset (Free Sample)
A free sample of WhiskyDB: a structured, relational dataset of whiskies and fine spirits built entirely from open, legally accessible public sources — government label registries (US TTB COLA), corporate registries (UK Companies House), the EU eAmbrosia GI register, Open Food Facts, Wikipedia/Wikidata, and open auction statistics — with a provenance ledger entry behind every record.
This sample contains 15 spirits + 15 distilleries, plus the fully open cask & flavor taxonomies (14 cask styles, 15 flavor descriptors).
The full dataset covers 1,290+ spirits, 3,200+ distilleries & producers across 110+ countries, 270+ protected GI appellations, and 20,000+ monthly auction-price benchmarks (Nov 2005 → today) — the auction index is the differentiated part: 225 consecutive months of distillery-level mean winning bids, ideal for valuation models and price-vs-age studies.
Get the Full Dataset
- 🔗 Official Portal: whisky-database.pages.dev — Standard Catalog $49/mo · API & Valuation $99/mo
- 📧 Contact: whiskeydn.kite979@simplelogin.com
- 🐙 GitHub: WhiskyyDB/whisky-database
- 🥃 Interactive Explorer: Dataset Sample Explorers Space — WhiskyDB tab
Files
| File | License | Description |
|---|---|---|
spirits.csv |
CC BY-NC 4.0 | Sample bottlings: name, type, age, ABV, volume, source provenance |
distilleries.csv |
CC BY-NC 4.0 | Sample producers: name, country, region, source provenance |
casks_taxonomy.csv |
CC BY 4.0 | Hierarchical cask styles (category → sub-type → style + wood species) — free for any use incl. commercial |
flavors_taxonomy.csv |
CC BY 4.0 | Controlled flavor vocabulary (macro category → descriptor) — free for any use incl. commercial |
Quick Start
import pandas as pd
base = "hf://datasets/Ichlibitiche/whiskydb-fine-spirits-sample/"
spirits = pd.read_csv(base + "spirits.csv")
distilleries = pd.read_csv(base + "distilleries.csv")
casks = pd.read_csv(base + "casks_taxonomy.csv")
print(len(spirits), "spirits, e.g.", spirits.iloc[0]["name"])
Use Cases
- Bar-menu & hospitality software (clean names, types, ABV, volumes)
- Collection-tracking and spirits-discovery apps
- Whisky investment analytics on a 19-year monthly auction index (full dataset)
- Flavor/cask-based recommendation engines on the open taxonomies
- ML / RAG corpora over a provenance-tracked spirits knowledge base
License
Sample data: CC BY-NC 4.0 — attribution, non-commercial. Taxonomies: CC BY 4.0 — free for any use with attribution, including commercial. Full dataset: commercial license; records derived from ODbL/CC-BY-SA sources retain upstream attribution obligations. Corrections: whiskeydn.kite979@simplelogin.com.
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