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The dataset generation failed
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
cv_fold: int64
taxonomy_id: string
taxonomy_path: string
product_id_hash: 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
title_part_count: 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/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_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
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
cv_fold: int64
taxonomy_id: string
taxonomy_path: string
product_id_hash: 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
title_part_count: 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 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 1869, 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 |
|---|---|---|---|---|---|---|---|
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{
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"title_position"... | gid://shopify/TaxonomyCategory/aa-1-10-2-2 | Apparel & Accessories > Clothing > Outerwear > Coats & Jackets > Bomber Jackets | 1.1.10.2.2 | 1 |
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{
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{
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"title_position"... | gid://shopify/TaxonomyCategory/so-1-10-7 | Software > Computer Software > Multimedia & Design Software > Music Composition Software | 22.1.10.7 | 1 |
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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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"title_position"... | gid://shopify/TaxonomyCategory/so-1-13 | Software > Computer Software > Operating Systems | 22.1.13 | 1 |
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{
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"title_position"... | gid://shopify/TaxonomyCategory/so-1-10-9 | Software > Computer Software > Multimedia & Design Software > Video Editing Software | 22.1.10.9 | 1 |
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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 |
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{
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}
] | gid://shopify/TaxonomyCategory/bi-8 | Business & Industrial > Food Service | 6.8 | 1 |
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] | gid://shopify/TaxonomyCategory/os | Office Supplies | Office Supplies | 1 |
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"title_position"... | gid://shopify/TaxonomyCategory/aa-1-13-3 | Apparel & Accessories > Clothing > Clothing Tops > Cardigans | 1.1.13.3 | 3 |
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"title_position"... | gid://shopify/TaxonomyCategory/so-1-13 | Software > Computer Software > Operating Systems | 22.1.13 | 1 |
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1 | 154e3faca3a1ae09d4ea13d9efd37c98fd733e2a63fc5b284d9b60ff59d6b234 | 17 | [
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"title_position"... | gid://shopify/TaxonomyCategory/aa-2-13 | Apparel & Accessories > Clothing Accessories > Gloves & Mittens | 1.2.13 | 2 |
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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 |
2 | 15ca81474c8c924e2e20c0be7553e498c004af8b53ffb4d92608ba02bb2c83ec | 5 | [
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... | gid://shopify/TaxonomyCategory/aa-2-26 | Apparel & Accessories > Clothing Accessories > Scarves & Shawls | 1.2.26 | 2 |
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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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"title_position"... | gid://shopify/TaxonomyCategory/aa-1-15 | Apparel & Accessories > Clothing > Skirts | 1.1.15 | 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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] | gid://shopify/TaxonomyCategory/se-6-4 | Services > Personal Services > Lifestyle Services | 21.6.4 | 2 |
0 | 17c2401842a2e3b84f03d61f65c754d14dbe783b39c3711b904f305b23847964 | 34 | [
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"title_position"... | gid://shopify/TaxonomyCategory/hg-11-8-43 | Home & Garden > Kitchen & Dining > Kitchen Tools & Utensils > Kitchen Shears | 14.11.8.43 | 2 |
0 | 17c3d3afacc449b72105467b072ba9975112aa416b3fafa307eb49aee3d5f8f9 | 2 | [
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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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] | gid://shopify/TaxonomyCategory/aa-1-6-13 | Apparel & Accessories > Clothing > Lingerie > Women's Underwear Slips | 1.1.6.13 | 1 |
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{
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3 | 19f87629211596ca03dedf72646b58e9d39fa8add6aa4fd3408cbdf0e8fac44d | 2 | [
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] | gid://shopify/TaxonomyCategory/aa-1-13-1 | Apparel & Accessories > Clothing > Clothing Tops > Blouses | 1.1.13.1 | 1 |
0 | 1a1cedbd5ace66df06de77ebd6dceacb8b50aa8f3e538638ae110348ec3ca7b1 | 2 | [
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{
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] | gid://shopify/TaxonomyCategory/bu | Bundles | 5 | 1 |
1 | 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 |
End of preview.
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-2026-06-30T1700Z(created2026-07-01T03:00:02.948157+10:00; 10,708 products, 3,515 tags, 575 taxonomies)
First 1000 snapshot
first1000-2026-06-30T1700Z(created2026-07-01T03:00:09.116842+10:00; 1,000 products, 12,402 tags, 276 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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