Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
product_id: string
product_name: string
category: string
price: double
stock_qty: int64
is_active: bool
vs
product_id: string
product_name: string
category: string
price_usd: double
status: string
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 580, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
product_id: string
product_name: string
category: string
price: double
stock_qty: int64
is_active: bool
vs
product_id: string
product_name: string
category: string
price_usd: double
status: stringNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Product Catalog Snapshots
Overview
This dataset contains periodic snapshots of the company's product catalog, including product identifiers, names, categories, pricing, current stock quantities, and active status. It is intended for inventory analytics, pricing studies, and category-level reporting.
Data Fields
- product_id (string): Unique identifier for each product.
- product_name (string): Display name of the product.
- category (string): Product category (for example Electronics or Accessories).
- price (float): Current unit price in USD.
- stock_qty (integer): Current stock quantity on hand.
- is_active (boolean): Whether the product is currently active in the catalog.
Usage
Load the dataset with the Hugging Face datasets library:
from datasets import load_dataset
ds = load_dataset("TianfuXinqu/github-fetch-hf-9020-product-catalog")
Citation
If you use this dataset, please cite it as:
Northwind Data Team. (2026). Product Catalog Snapshots [Dataset]. Hugging Face.
- Downloads last month
- 77