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Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
as_of: null
code_version: null
created_at: string
min_samples_per_taxonomy: int64
min_tag_count: int64
note: string
product_count: int64
product_table: string
snapshot_id: string
snapshot_name: string
tag_count: int64
taxonomy_count: int64
product_id_hash: string
title_part_count: int64
taxonomy_path: string
taxonomy_id: string
tag_features: list<item: struct<in_title: bool, tag_id: string, title_part: int64, title_position: int64>>
child 0, item: struct<in_title: bool, tag_id: string, title_part: int64, title_position: int64>
child 0, in_title: bool
child 1, tag_id: string
child 2, title_part: int64
child 3, title_position: int64
cv_fold: int64
taxonomy_name: string
to
{'cv_fold': Value('int64'), 'product_id_hash': Value('string'), 'tag_count': Value('int64'), 'tag_features': List({'in_title': Value('bool'), 'tag_id': Value('string'), 'title_part': Value('int64'), 'title_position': Value('int64')}), 'taxonomy_id': Value('string'), 'taxonomy_name': Value('string'), 'taxonomy_path': Value('string'), 'title_part_count': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
as_of: null
code_version: null
created_at: string
min_samples_per_taxonomy: int64
min_tag_count: int64
note: string
product_count: int64
product_table: string
snapshot_id: string
snapshot_name: string
tag_count: int64
taxonomy_count: int64
product_id_hash: string
title_part_count: int64
taxonomy_path: string
taxonomy_id: string
tag_features: list<item: struct<in_title: bool, tag_id: string, title_part: int64, title_position: int64>>
child 0, item: struct<in_title: bool, tag_id: string, title_part: int64, title_position: int64>
child 0, in_title: bool
child 1, tag_id: string
child 2, title_part: int64
child 3, title_position: int64
cv_fold: int64
taxonomy_name: string
to
{'cv_fold': Value('int64'), 'product_id_hash': Value('string'), 'tag_count': Value('int64'), 'tag_features': List({'in_title': Value('bool'), 'tag_id': Value('string'), 'title_part': Value('int64'), 'title_position': Value('int64')}), 'taxonomy_id': Value('string'), 'taxonomy_name': Value('string'), 'taxonomy_path': Value('string'), 'title_part_count': Value('int64')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
cv_fold int64 | product_id_hash string | tag_count int64 | tag_features list | taxonomy_id string | taxonomy_name string | taxonomy_path string | title_part_count int64 |
|---|---|---|---|---|---|---|---|
4 | 001d01f503f41b1b802693870b91374326b8508bbc9b5a6d134834704f7997a1 | 1 | [
{
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}
] | gid://shopify/TaxonomyCategory/hg-11-1 | Home & Garden > Kitchen & Dining > Barware | 14.11.1 | 1 |
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{
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},
{
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{
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"title_position"... | gid://shopify/TaxonomyCategory/aa-6-9 | Apparel & Accessories > Jewelry > Rings | 1.6.9 | 1 |
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{
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{
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{
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{
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{
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},
{
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"title_position"... | gid://shopify/TaxonomyCategory/aa-2-14-12 | Apparel & Accessories > Clothing Accessories > Hair Accessories > Wigs | 1.2.14.12 | 1 |
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{
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},
{
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}
] | gid://shopify/TaxonomyCategory/rc-2 | Religious & Ceremonial > Religious Items | 20.2 | 1 |
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{
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{
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},
{
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... | gid://shopify/TaxonomyCategory/aa-1-10-2-10 | Apparel & Accessories > Clothing > Outerwear > Coats & Jackets > Rain Coats | 1.1.10.2.10 | 1 |
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] | gid://shopify/TaxonomyCategory/lb-13 | Luggage & Bags > Tote Bags | 15.13 | 1 |
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{
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}
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{
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] | gid://shopify/TaxonomyCategory/fb-2-5-36 | Food, Beverages & Tobacco > Food Items > Cooking & Baking Ingredients > Yeast | 9.2.5.36 | 1 |
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{
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}
] | gid://shopify/TaxonomyCategory/aa-1-13-7 | Apparel & Accessories > Clothing > Clothing Tops > Shirts | 1.1.13.7 | 1 |
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{
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"title_position"... | gid://shopify/TaxonomyCategory/aa-1-13-3 | Apparel & Accessories > Clothing > Clothing Tops > Cardigans | 1.1.13.3 | 1 |
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},
{
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"title_position"... | gid://shopify/TaxonomyCategory/aa-8-6 | Apparel & Accessories > Shoes > Sandals | 1.8.6 | 1 |
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},
{
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"title_position"... | gid://shopify/TaxonomyCategory/aa-8-6 | Apparel & Accessories > Shoes > Sandals | 1.8.6 | 1 |
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{
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{
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},
{
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"title_position"... | gid://shopify/TaxonomyCategory/aa-1-12-11 | Apparel & Accessories > Clothing > Pants > Trousers | 1.1.12.11 | 1 |
3 | 09f47795cbfa6c5d3f51a180f67fb1ccae16ce73f2fb964ff7f559da9c9935c0 | 1 | [
{
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"title_position"... | gid://shopify/TaxonomyCategory/aa-1-13-9 | Apparel & Accessories > Clothing > Clothing Tops > Tank Tops | 1.1.13.9 | 3 |
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"title_position"... | gid://shopify/TaxonomyCategory/ap-2-26-7-3 | Animals & Pet Supplies > Pet Supplies > Pet Grooming Supplies > Pet Shampoo & Conditioner > Shampoos | 2.2.26.7.3 | 1 |
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] | gid://shopify/TaxonomyCategory/hb-1-9-6-5 | Health & Beauty > Health Care > Fitness & Nutrition > Vitamins & Supplements > Herbal Supplements | 13.1.9.6.5 | 1 |
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] | gid://shopify/TaxonomyCategory/aa-1-13-8 | Apparel & Accessories > Clothing > Clothing Tops > T-Shirts | 1.1.13.8 | 1 |
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"title_position"... | gid://shopify/TaxonomyCategory/aa-1-4 | Apparel & Accessories > Clothing > Dresses | 1.1.4 | 1 |
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"title_position"... | gid://shopify/TaxonomyCategory/aa-1-13-7 | Apparel & Accessories > Clothing > Clothing Tops > Shirts | 1.1.13.7 | 1 |
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] | gid://shopify/TaxonomyCategory/aa-1-13-13 | Apparel & Accessories > Clothing > Clothing Tops > Hoodies | 1.1.13.13 | 1 |
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"title_position"... | gid://shopify/TaxonomyCategory/aa-1-4 | Apparel & Accessories > Clothing > Dresses | 1.1.4 | 1 |
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] | gid://shopify/TaxonomyCategory/aa-1-1-2-3 | Apparel & Accessories > Clothing > Activewear > Activewear Tops > Tank Tops | 1.1.1.2.3 | 1 |
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"title_position"... | gid://shopify/TaxonomyCategory/hg-10-9-4-1 | Home & Garden > Household Supplies > Laundry Supplies > Drying Racks & Hangers > Drying Hangers | 14.10.9.4.1 | 1 |
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"title_position"... | gid://shopify/TaxonomyCategory/aa-6-8 | Apparel & Accessories > Jewelry > Necklaces | 1.6.8 | 1 |
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"title_position"... | gid://shopify/TaxonomyCategory/hg-3-52 | Home & Garden > Decor > Picture Frames | 14.3.52 | 1 |
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{
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{
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] | gid://shopify/TaxonomyCategory/aa-1-13-8 | Apparel & Accessories > Clothing > Clothing Tops > T-Shirts | 1.1.13.8 | 1 |
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{
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},
{
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}
] | gid://shopify/TaxonomyCategory/bu | Bundles | 5 | 1 |
0 | 1a630f05cdca0f76f2c1ac4b9b818d3c7f44373151a556301df2a80930b5962f | 2 | [
{
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{
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}
] | gid://shopify/TaxonomyCategory/tg-5-8-2 | Toys & Games > Toys > Dolls, Playsets & Toy Figures > Bobblehead Figures | 24.5.8.2 | 1 |
Dataset Summary
product-taxonomy-bench is an anonymised benchmark dataset for predicting Shopify Product Taxonomy categories from Shopify product tags.
This dataset does not include raw product titles, raw tags, or product URLs. Tags are anonymised as tagNNNNNN.
Start Here
- Read this dataset card for the snapshot layout and field definitions.
- Open the benchmark notebook at
notebooks/product_taxonomy_bench.ipynb. On the notebook page, use the Hub's Open in Colab button to run it interactively. - Use the three snapshot folders according to your goal:
first1000/for a tiny sanity-check slice,paper/for the point-in-time paper snapshot, andlatest/for the rolling benchmark.
Configurations
Three configurations are provided:
Paper snapshot
paper-2026-02-11T1915Z(created2026-02-26T17:35:34.843938+11:00; 6,693 products, 2,542 tags, 363 taxonomies; as_of2026-02-12T06:15:00+11:00)
Latest snapshot
latest-2026-04-30T1700Z(created2026-05-01T03:00:03.185784+10:00; 10,460 products, 3,433 tags, 478 taxonomies)
First 1000 snapshot
first1000-2026-04-30T1700Z(created2026-05-01T03:01:11.268277+10:00; 1,000 products, 1,852 tags, 227 taxonomies)
Data Fields
Each record corresponds to one product:
product_id_hash: SHA-256 hash of a canonicalised product URLtaxonomy_id: Shopify taxonomy GIDtaxonomy_path: Numeric hierarchy path (dot-separated) when availabletaxonomy_name: Human-readable hierarchy namecv_fold: 0–4 fold assignment (or null if missing)tag_features: list of{tag_id, in_title, title_part, title_position}
Tag semantics are not included; tag_id values are stable only within a snapshot.
Generation
Products were collected by fetching public Shopify product .json endpoints, then joined to the taxonomy label used by the cantbuymelove site. Tags are uppercased and substring-nested tags are filtered before anonymisation. Title overlap positions are computed by case-insensitive substring search and splitting titles on " - " to match the paper’s tag-battle logic. The paper snapshot is generated with a fixed as_of cutoff timestamp.
Citation
Add your paper citation here (BibTeX).
@article{todo,
title={TODO},
author={TODO},
year={2026}
}
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