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Add dataset card

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  1. README.md +70 -39
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  ---
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- dataset_info:
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- features:
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- - name: image
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- dtype: image
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- - name: label
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- dtype:
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- class_label:
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- names:
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- '0': '0'
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- '1': '1'
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- '2': '2'
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- '3': '3'
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- '4': '4'
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- '5': '5'
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- '6': '6'
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- '7': '7'
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- '8': '8'
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- '9': '9'
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- splits:
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- - name: train
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- num_bytes: 8736255.716177294
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- num_examples: 5000
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- - name: validation
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- num_bytes: 851528.6186232329
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- num_examples: 500
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- - name: test
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- num_bytes: 1703057.2372464659
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- num_examples: 1000
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- download_size: 11788138
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- dataset_size: 11290841.572046991
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: validation
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- path: data/validation-*
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- - split: test
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- path: data/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: other
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+ tags:
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+ - svhn
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+ - street-view-house-numbers
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+ - image-classification
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+ - digit-recognition
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+ - subset
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+ - computer-vision
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+ source_datasets:
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+ - ufldl-stanford/svhn
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+ task_categories:
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+ - image-classification
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # SVHN (Street View House Numbers) — Subset 🔢
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+
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+ Stratified random subset of [SVHN](http://ufldl.stanford.edu/housenumbers/),
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+ sourced from [ufldl-stanford/svhn](https://huggingface.co/datasets/ufldl-stanford/svhn).
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+
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+ ## Splits
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+
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+ | Split | Rows | Classes | Per class |
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+ |------------|-------|---------|-----------|
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+ | train | 5,000 | 10 | ~500 |
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+ | test | 1,000 | 10 | ~100 |
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+ | validation | 500 | 10 | ~50 |
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+
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+ ## About SVHN
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+
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+ The Street View House Numbers (SVHN) dataset is a real-world digit recognition dataset
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+ obtained from Google Street View images.
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+
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+ - **Full train set**: 73,257 images
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+ - **Full test set**: 26,032 images
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+ - **Extra set**: 531,131 images (not included in this subset)
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+ - **Image size**: 32 × 32 RGB (cropped_digits config)
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+ - **Classes**: 10 digits (0–9)
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+ - **Config used**: `cropped_digits` — MNIST-like single digit per image
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+
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+ ## Classes
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+
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+ | ID | Digit | ID | Digit |
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+ |----|-------|----|-------|
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+ | 0 | 0 | 5 | 5 |
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+ | 1 | 1 | 6 | 6 |
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+ | 2 | 2 | 7 | 7 |
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+ | 3 | 3 | 8 | 8 |
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+ | 4 | 4 | 9 | 9 |
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("Chiranjeev007/SVHN-10_Subset")
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+ print(ds)
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+ # DatasetDict({
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+ # train: Dataset(num_rows: 5000),
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+ # validation: Dataset(num_rows: 500),
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+ # test: Dataset(num_rows: 1000)
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+ # })
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+
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+ sample = ds["train"][0]
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+ sample["image"] # PIL Image 32×32 RGB
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+ sample["label"] # int 0–9
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+ ```
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+
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+ ## Sampling Details
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+ - **Method**: Stratified random — proportional per class
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+ - **Seed**: 42
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+ - **Source config**: `cropped_digits`