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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 11 new columns ({'product_count', 'as_of', 'code_version', 'snapshot_id', 'snapshot_name', 'min_tag_count', 'created_at', 'min_samples_per_taxonomy', 'note', 'taxonomy_count', 'product_table'}) and 7 missing columns ({'taxonomy_name', 'tag_features', 'taxonomy_path', 'cv_fold', 'taxonomy_id', 'title_part_count', 'product_id_hash'}).
This happened while the json dataset builder was generating data using
hf://datasets/gregb/product-taxonomy-bench/first1000/snapshot.json (at revision 7c7eb17a7982028141c227107eefeb0215e95e94), [/tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/first1000/products-00000.jsonl.gz (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/first1000/products-00000.jsonl.gz), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/first1000/snapshot.json (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/first1000/snapshot.json), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/first1000/tags.jsonl.gz (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/first1000/tags.jsonl.gz), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/latest/products-00000.jsonl.gz (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/latest/products-00000.jsonl.gz), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/latest/snapshot.json (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/latest/snapshot.json), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/latest/tags.jsonl.gz (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/latest/tags.jsonl.gz), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/paper/products-00000.jsonl.gz (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/paper/products-00000.jsonl.gz), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/paper/snapshot.json (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/paper/snapshot.json), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/paper/tags.jsonl.gz (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/paper/tags.jsonl.gz)]
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/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, 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
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
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 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 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1889, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 11 new columns ({'product_count', 'as_of', 'code_version', 'snapshot_id', 'snapshot_name', 'min_tag_count', 'created_at', 'min_samples_per_taxonomy', 'note', 'taxonomy_count', 'product_table'}) and 7 missing columns ({'taxonomy_name', 'tag_features', 'taxonomy_path', 'cv_fold', 'taxonomy_id', 'title_part_count', 'product_id_hash'}).
This happened while the json dataset builder was generating data using
hf://datasets/gregb/product-taxonomy-bench/first1000/snapshot.json (at revision 7c7eb17a7982028141c227107eefeb0215e95e94), [/tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/first1000/products-00000.jsonl.gz (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/first1000/products-00000.jsonl.gz), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/first1000/snapshot.json (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/first1000/snapshot.json), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/first1000/tags.jsonl.gz (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/first1000/tags.jsonl.gz), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/latest/products-00000.jsonl.gz (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/latest/products-00000.jsonl.gz), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/latest/snapshot.json (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/latest/snapshot.json), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/latest/tags.jsonl.gz (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/latest/tags.jsonl.gz), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/paper/products-00000.jsonl.gz (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/paper/products-00000.jsonl.gz), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/paper/snapshot.json (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/paper/snapshot.json), /tmp/hf-datasets-cache/medium/datasets/50762105840944-config-parquet-and-info-gregb-product-taxonomy-be-50cefc48/hub/datasets--gregb--product-taxonomy-bench/snapshots/7c7eb17a7982028141c227107eefeb0215e95e94/paper/tags.jsonl.gz (origin=hf://datasets/gregb/product-taxonomy-bench@7c7eb17a7982028141c227107eefeb0215e95e94/paper/tags.jsonl.gz)]
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.
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 |
|---|---|---|---|---|---|---|---|
3 | 001d01f503f41b1b802693870b91374326b8508bbc9b5a6d134834704f7997a1 | 1 | [
{
"in_title": false,
"tag_id": "tag001708",
"title_part": null,
"title_position": null
}
] | gid://shopify/TaxonomyCategory/hg-11-1 | Home & Garden > Kitchen & Dining > Barware | 14.11.1 | 1 |
3 | 0048072796a95861cca44f86fed172be56d1dce799a3a1d58827f3f7bd9fc81c | 3 | [
{
"in_title": false,
"tag_id": "tag000058",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag001120",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag001368",
"title_part": null,
"title_position"... | gid://shopify/TaxonomyCategory/aa-6-9 | Apparel & Accessories > Jewelry > Rings | 1.6.9 | 1 |
3 | 00882801d3fbd778d5426f891055c01b948d2573c050c906f91c9940b74e59da | 8 | [
{
"in_title": false,
"tag_id": "tag000358",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag000388",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag000650",
"title_part": null,
"title_position"... | gid://shopify/TaxonomyCategory/aa-1-13-3 | Apparel & Accessories > Clothing > Clothing Tops > Cardigans | 1.1.13.3 | 1 |
0 | 00a19cd8b288133b5916cae848f0d39c1b54ed6091a2990028ee9e134ab8b4e7 | 20 | [
{
"in_title": false,
"tag_id": "tag000044",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag000237",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag000435",
"title_part": null,
"title_position"... | gid://shopify/TaxonomyCategory/aa-1-10-2-2 | Apparel & Accessories > Clothing > Outerwear > Coats & Jackets > Bomber Jackets | 1.1.10.2.2 | 1 |
0 | 01e7833b8a2021caf21249f558d74e7bfc1f1ab0d3b777963ae025e3b9c5c690 | 8 | [
{
"in_title": false,
"tag_id": "tag000008",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag000239",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag000472",
"title_part": null,
"title_position"... | gid://shopify/TaxonomyCategory/aa-2-14-12 | Apparel & Accessories > Clothing Accessories > Hair Accessories > Wigs | 1.2.14.12 | 1 |
4 | 01f14b011f15c15a9012f0ddd5f3af6d4d54ab28cfe6cfcba353bc6d4e716d35 | 2 | [
{
"in_title": true,
"tag_id": "tag000286",
"title_part": 0,
"title_position": 0
},
{
"in_title": false,
"tag_id": "tag001497",
"title_part": null,
"title_position": null
}
] | gid://shopify/TaxonomyCategory/rc-2 | Religious & Ceremonial > Religious Items | 20.2 | 1 |
1 | 01f465994c44b1ceeda90c3fba6521b02980e1e899b3fe113529de4dca371b93 | 5 | [
{
"in_title": false,
"tag_id": "tag000542",
"title_part": null,
"title_position": null
},
{
"in_title": true,
"tag_id": "tag000566",
"title_part": 0,
"title_position": 0
},
{
"in_title": false,
"tag_id": "tag000651",
"title_part": null,
"title_position": null
... | gid://shopify/TaxonomyCategory/aa-1-10-2-10 | Apparel & Accessories > Clothing > Outerwear > Coats & Jackets > Rain Coats | 1.1.10.2.10 | 1 |
0 | 022fd1248b69afef8b0146aad8a8867e24f7d0b01de08a0d6ede1e4ae0411eb6 | 1 | [
{
"in_title": true,
"tag_id": "tag001664",
"title_part": 0,
"title_position": 6
}
] | gid://shopify/TaxonomyCategory/lb-13 | Luggage & Bags > Tote Bags | 15.13 | 1 |
2 | 0271ee1228a126d1f70ebc456fafec3e092e8fd1ea0cc2f8510dd759fa43a2e8 | 6 | [
{
"in_title": false,
"tag_id": "tag000372",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag000504",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag001093",
"title_part": null,
"title_position"... | gid://shopify/TaxonomyCategory/aa-1-4 | Apparel & Accessories > Clothing > Dresses | 1.1.4 | 1 |
0 | 02966475c3629f9ffa0e7888944486fa8ca20fa8e5dee3e83baf6a7992a8ba90 | 4 | [
{
"in_title": false,
"tag_id": "tag000446",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag000696",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag001659",
"title_part": null,
"title_position"... | gid://shopify/TaxonomyCategory/aa-1-13-8 | Apparel & Accessories > Clothing > Clothing Tops > T-Shirts | 1.1.13.8 | 1 |
4 | 02a9e3e952179d556d3133090cfe5549718a36f53ee92d6e30e28a9952517566 | 1 | [
{
"in_title": true,
"tag_id": "tag000615",
"title_part": 0,
"title_position": 11
}
] | gid://shopify/TaxonomyCategory/aa-6-6 | Apparel & Accessories > Jewelry > Earrings | 1.6.6 | 2 |
3 | 032a3a27774c60621104a870cd9c097b57088ad5138e9e123576b5b17f42011c | 3 | [
{
"in_title": false,
"tag_id": "tag000444",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag000531",
"title_part": null,
"title_position": null
},
{
"in_title": true,
"tag_id": "tag001408",
"title_part": 0,
"title_position": 0
... | gid://shopify/TaxonomyCategory/hg-3-21 | Home & Garden > Decor > Decorative Bowls | 14.3.21 | 1 |
0 | 038841954971333127baeeff73260c3c40b820443e84db12e718c0337d758d22 | 2 | [
{
"in_title": true,
"tag_id": "tag000279",
"title_part": 0,
"title_position": 22
},
{
"in_title": false,
"tag_id": "tag001279",
"title_part": null,
"title_position": null
}
] | gid://shopify/TaxonomyCategory/aa-1-13-1 | Apparel & Accessories > Clothing > Clothing Tops > Blouses | 1.1.13.1 | 1 |
0 | 038acbdb2ca3a48dfd7933840bc7c83b8b7693279f2713869adf9a07f68a4cae | 22 | [
{
"in_title": false,
"tag_id": "tag000342",
"title_part": null,
"title_position": null
},
{
"in_title": true,
"tag_id": "tag000414",
"title_part": 0,
"title_position": 0
},
{
"in_title": false,
"tag_id": "tag000431",
"title_part": null,
"title_position": null
... | gid://shopify/TaxonomyCategory/aa-6-8 | Apparel & Accessories > Jewelry > Necklaces | 1.6.8 | 1 |
4 | 0440eea8730a45b839ffec3b0bafcbc183e6bed0cdd8cc92794598dd8bc8bb4d | 3 | [
{
"in_title": true,
"tag_id": "tag001081",
"title_part": 0,
"title_position": 0
},
{
"in_title": false,
"tag_id": "tag001241",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag001465",
"title_part": null,
"title_position": null
... | gid://shopify/TaxonomyCategory/aa-1-13-14 | Apparel & Accessories > Clothing > Clothing Tops > Sweatshirts | 1.1.13.14 | 1 |
1 | 050aff9a354ea459f231a6a68b4dbc4e59bdfcbfba2e429dff9ecd8eb6b165d5 | 1 | [
{
"in_title": true,
"tag_id": "tag000323",
"title_part": 0,
"title_position": 14
}
] | gid://shopify/TaxonomyCategory/aa-6-3 | Apparel & Accessories > Jewelry > Bracelets | 1.6.3 | 1 |
3 | 05366b53f7103352dd5db5d7fdaeb0dec512b8ee6ff9a43f97a45b16a83c34d9 | 1 | [
{
"in_title": false,
"tag_id": "tag000312",
"title_part": null,
"title_position": null
}
] | gid://shopify/TaxonomyCategory/hg-11-2-3-14 | Home & Garden > Kitchen & Dining > Cookware & Bakeware > Cookware > Stock Pots | 14.11.2.3.14 | 1 |
0 | 05b9db63625ed038f826e6ff4858e77fd1c87b848a91f2c37e2a4f1d0c9642fc | 5 | [
{
"in_title": false,
"tag_id": "tag000289",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag000746",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag000747",
"title_part": null,
"title_position"... | gid://shopify/TaxonomyCategory/aa-8-9 | Apparel & Accessories > Shoes > Flats | 1.8.9 | 1 |
0 | 06013ab306ffaaa9b8656a1ce211fbc320189de8ebe4ac92c1502fc7ad6255fa | 5 | [
{
"in_title": false,
"tag_id": "tag000630",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag000742",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag001315",
"title_part": null,
"title_position"... | gid://shopify/TaxonomyCategory/aa-1-1-2-2 | Apparel & Accessories > Clothing > Activewear > Activewear Tops > T-Shirts | 1.1.1.2.2 | 1 |
4 | 0667aa944a046152739a77df55e06a074c722decc3ed4917f541d8ad14bc29c5 | 4 | [
{
"in_title": false,
"tag_id": "tag000446",
"title_part": null,
"title_position": null
},
{
"in_title": false,
"tag_id": "tag000696",
"title_part": null,
"title_position": null
},
{
"in_title": true,
"tag_id": "tag001073",
"title_part": 0,
"title_position": 0
... | gid://shopify/TaxonomyCategory/aa-1-13-8 | Apparel & Accessories > Clothing > Clothing Tops > T-Shirts | 1.1.13.8 | 3 |
0 | 079abc45e01af234beb538d2b8c7ef80d0d71d8edde9fb27974665b8c1694d13 | 1 | [
{
"in_title": true,
"tag_id": "tag000323",
"title_part": 0,
"title_position": 35
}
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{
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}
] | gid://shopify/TaxonomyCategory/bu | Bundles | 5 | 1 |
2 | 1a630f05cdca0f76f2c1ac4b9b818d3c7f44373151a556301df2a80930b5962f | 2 | [
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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.
Configurations
Three configurations are provided:
Paper snapshot
paper-2026-02-11T1915Z(created2026-02-26T17:35:34.843938+11:00; 6,718 products, 2,542 tags, 363 taxonomies; as_of2026-02-12T06:15:00+11:00)
Latest snapshot
latest-2026-03-03T1600Z(created2026-03-04T03:00:02.087321+11:00; 7,035 products, 2,626 tags, 380 taxonomies)
First 1000 snapshot
first1000-2026-03-03T1600Z(created2026-03-04T03:00:08.456804+11:00; 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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