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Split (1)

train

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:    ValueError
Message:      Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/Kanishkagarwal6101/findsai-products@0cd23b856e51d3ec7f02cba45a45d480a37a6cf6/findsai_products.json.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 503, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 350, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 186, in _generate_tables
                  raise ValueError(
              ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/Kanishkagarwal6101/findsai-products@0cd23b856e51d3ec7f02cba45a45d480a37a6cf6/findsai_products.json.

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findsAi Products Dataset

Fashion product catalog for findsAi image matching model.

Dataset Information

Total Products: 1,505
Retailers: Neiman Marcus (505), The RealReal (500), Nordstrom (500)
Categories: Tops (300), Bottoms (300), Shoes (302), Bags (300), Accessories (303)

Files

findsai_products.json - Complete product data in JSON format
findsai_products.csv - Product data in CSV format
dataset_info.json - Dataset metadata and statistics

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("Kanishkagarwal6101/findsai-products")

# Access the data
products = dataset['train']
print(f"Loaded {len(products)} products")

# Example: Get first product
first_product = products[0]
print(f"Title: {first_product['title']}")
print(f"Brand: {first_product['brand']}")
print(f"Image: {first_product['image_primary']}")

Fields

id - Unique product ID
retailer - Retailer name (neiman_marcus, therealreal, nordstrom)
retailer_product_id - Retailer's internal product ID
title - Product title
brand - Brand name
price - Product price
currency - Currency code
availability - Availability status
canonical_url - Product URL
image_primary - Primary product image URL
category_norm - Normalized category
category_raw - Raw category
color - Product color
gender - Target gender
raw_json_ld - Raw JSON-LD data
created_at - Creation timestamp
updated_at - Last update timestamp

License

MIT License

Datasets:

Kanishkagarwal6101
/

findsai-products