mjaliz/product-entity

--- dataset_info: features: - name: id dtype: int64 - name: query_text dtype: string - name: candidates sequence: string - name: distances sequence: float64 - name: indices sequence: int64 splits: - name: train num_examples: 1999984 --- # Search Results - product-entity FAISS similarity search results with 1,999,984 rows. ## Dataset Details - **Number of rows**: 1,999,984 - **Format**: Parquet ## Source Original file: search_results.json ## Columns - `id` - `query_text` - `candidates` - `distances` - `indices` ## Usage ```python from datasets import load_dataset dataset = load_dataset("mjaliz/product-entity") print(dataset['train'][0]) ``` ## Citation If you use this dataset, please cite the original sources appropriately.