xixu-me commited on
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1 Parent(s): 36f572b

Update dataset_infos.json with correct citation, dataset size, and description

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Files changed (2) hide show
  1. README.md +1 -1
  2. dataset_infos.json +9 -9
README.md CHANGED
@@ -52,7 +52,7 @@ This dataset is designed for **Few-Shot Learning (FSL)** research in product cla
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  - **279,747 total images** (average of ~367 images per class)
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  - **High-quality product images** suitable for computer vision research
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  - **Variable class distribution** with non-continuous class numbers
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- - **Efficient TZST compression** for reduced storage and faster transfer
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  - **Compatible with Hugging Face Datasets** library
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  ### Dataset Statistics
 
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  - **279,747 total images** (average of ~367 images per class)
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  - **High-quality product images** suitable for computer vision research
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  - **Variable class distribution** with non-continuous class numbers
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+ - **Efficient tzst compression** for reduced storage and faster transfer
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  - **Compatible with Hugging Face Datasets** library
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  ### Dataset Statistics
dataset_infos.json CHANGED
@@ -1,15 +1,15 @@
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  {
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  "default": {
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- "citation": "@dataset{fsl_product_classification_2024,\n title={Few-Shot Learning Product Classification Dataset},\n author={},\n year={2024},\n publisher={Hugging Face},\n url={https://huggingface.co/datasets/xixu-me/fsl-product-classification}\n}",
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- "dataset_size": 15000000000,
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- "description": "Few-Shot Learning Product Classification Dataset containing 1000 product classes with approximately 1000 images per class. This dataset is designed for few-shot learning research in product classification tasks, covering diverse e-commerce and retail scenarios.",
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  "download_checksums": {
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  "data.tzst": {
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- "checksum": null,
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- "num_bytes": 15000000000
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  }
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  },
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- "download_size": 15000000000,
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  "features": {
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  "class_name": {
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  "_type": "Value",
@@ -30,13 +30,13 @@
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  },
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  "homepage": "https://huggingface.co/datasets/xixu-me/fsl-product-classification",
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  "license": "MIT",
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- "size_in_bytes": 30000000000,
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  "splits": {
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  "train": {
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  "dataset_name": "fsl_product_classification",
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  "name": "train",
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- "num_bytes": 15000000000,
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- "num_examples": 1000000
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  }
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  }
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  }
 
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  {
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  "default": {
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+ "citation": "@dataset{fsl_product_classification_2024,\n title={Few-Shot Learning Product Classification Dataset},\n author={Xi Xu},\n year={2024},\n publisher={Hugging Face},\n url={https://huggingface.co/datasets/xixu-me/fsl-product-classification}\n}",
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+ "dataset_size": 9945644054,
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+ "description": "Few-Shot Learning Product Classification Dataset containing 763 product classes with approximately 367 images per class (279,747 total images). This dataset is designed for few-shot learning research in product classification tasks, covering diverse e-commerce and retail scenarios.",
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  "download_checksums": {
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  "data.tzst": {
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+ "checksum": "dd2134f1d02bc74b4312da5259ecab9991be18557b368c8d01b37f6b96bff0d0",
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+ "num_bytes": 9945644054
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  }
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  },
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+ "download_size": 9945644054,
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  "features": {
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  "class_name": {
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  "_type": "Value",
 
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  },
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  "homepage": "https://huggingface.co/datasets/xixu-me/fsl-product-classification",
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  "license": "MIT",
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+ "size_in_bytes": 9945644054,
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  "splits": {
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  "train": {
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  "dataset_name": "fsl_product_classification",
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  "name": "train",
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+ "num_bytes": 9945644054,
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+ "num_examples": 279747
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  }
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  }
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  }