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        "author": "Gagandeep Singh",
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        "description": "# CPAR Dataset\n\n## Introduction\n#### CPAR Dataset consists of Devanagri(Hindi) Characters and Digits. This Dataset was collected by Mr. Rajiv Kumar.\n\n## Quick Tour\nCPAR contains 48 Characters and 9 Digits.\n\n![alt rating_to_insight](https://github.com/gaganmanku96/cpar/assets/images/char.png)\n![alt rating_to_insight](https://github.com/gaganmanku96/cpar/assets/images/digit.png)\n\n## Installation\n#### Using PIP via PyPI\n```\n$ pip install cpar\n```\n#### Manually via GIT\n```\n$ git clone git://github.com/gaganmanku96/cpar\n$ cd cpar\n$ python setup.py install\n```\n\n## Usage\n#### Character Dataset\n```\n$ from cpar.char import load_data\n$ (x_train, y_train), (x_test, y_test) = load_data()\n```\n#### Digit Dataset\n```\n$ from cpar.digit import load_data\n$ (x_train, y_train), (x_test, y_test) = load_data()\n```\n\n## Citations\n  1.  Kumar Rajiv, Amresh Kumar, and Pervez Ahmed. \"A benchmark dataset for devnagari document recognition research.\" In 6th International Conference on Visualization, Imaging and Simulation (VIS'13), Lemesos, Cyprus, pp. 258-263. 2013.\n  2. Kumar, Rajiv, and Kiran Kumar Ravulakollu. \"HANDWRITTEN DEVNAGARI DIGIT RECOGNITION: BENCHMARKING ON NEW DATASET.\" Journal of theoretical & applied information technology 60, no. 3 (2014).\n\n\n",
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