Update README.md

README.md

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 license: mit
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-# AlphaNum Dataset
 
-## Table of Contents
-- [Dataset Summary](#dataset-summary)
-- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-- [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-- [Dataset Use](#dataset-use)
-  - [Use Cases](#use-cases)
-  - [Usage Caveats](#usage-caveats)
-  - [Getting Started](#getting-started)
+# AlphaNum Dataset
 
 ## Dataset Summary
-The AlphaNum dataset, created by Louis Rädisch, is a comprehensive handwritten dataset specifically designed for the development and improvement of OCR (Optical Character Recognition) models. The dataset comprises handwritten characters A-Z and numbers 0-9, providing a realistic challenge for OCR models.
-
-## Supported Tasks and Leaderboards
-This dataset supports a range of tasks including text recognition, document processing, and machine learning. It can contribute to improving the performance of OCR models by providing a diverse set of writing styles and formats.
-
-## Languages
-The dataset is primarily in English.
+The AlphaNum dataset, created by Louis Rädisch, is a collection of handwritten characters and digits intended for the use in Optical Character Recognition (OCR) tasks. This dataset is a compilation from various sources and includes labels from 0-35, where 0-25 represent the letters A-Z and 26-35 represent the digits 0-9. The images from the MNIST dataset included have been color inverted.
 
 ## Dataset Structure
 ### Data Instances
-A data instance in this dataset represents an image of a handwritten character and the associated labels.
+A data instance in this dataset is an image of a handwritten character or digit along with its corresponding label.
 
 ### Data Fields
-The fields are:
-1) 'image': The image of the handwritten character.
-2) 'label': The label for the character in the image.
+1) 'image': The image of the handwritten character or digit.
+2) 'label': The label for the character or digit in the image. (0-25 for A-Z, 26-35 for 0-9)
 
 ### Data Splits
-The dataset is split into training, validation, and test sets.
-
-## Dataset Creation
-### Curation Rationale
-The dataset was created to provide a rich and diverse source of data for the development and improvement of OCR models.
-
-### Source Data
-The source data comes from handwritten characters created by various individuals.
+The dataset is divided into training, validation, and test sets.
 
 ## Dataset Use
-### Use Cases
-The dataset can be used for tasks related to text recognition, document processing, and machine learning.
-
-### Usage Caveats
-There are no specific restrictions on the use of this dataset.
-
-### Getting Started
-The dataset can be utilized for the development and improvement of OCR models.
+The AlphaNum dataset is suitable for tasks related to text recognition, document processing, and machine learning, particularly in the development and improvement of OCR models.