Update README.md

README.md

@@ -12,4 +12,35 @@ tags:
 - vision-language
 size_categories:
 - n<1K
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+---
+
+# Opendoc1-Analysis-Recognition Dataset
+
+## Overview
+The **Opendoc1-Analysis-Recognition** dataset is designed for tasks involving image-to-text, text classification, and image feature extraction. It contains images paired with class labels, making it suitable for vision-language tasks.
+
+## Dataset Details
+- **Modalities**: Image
+- **Languages**: English
+- **Size**: Approximately 1,000 samples (n=1K)
+- **Tags**: image, analysis, vision-language
+- **License**: Apache 2.0
+
+## Tasks
+This dataset can be used for the following tasks:
+- **Image-to-Text**: Convert images into textual descriptions.
+- **Text Classification**: Classify text associated with images.
+- **Image Feature Extraction**: Extract features from images for further analysis.
+
+## Dataset Structure
+The dataset is split into a training set with 232 rows. Each row contains:
+- **Image**: The image file.
+- **Label**: The class label associated with the image.
+
+## Usage
+To use this dataset, you can download it from the Hugging Face Datasets Hub. The dataset files are approximately 443 MB in size, and the auto-converted Parquet files are around 464 MB.
+
+## Download Information
+- **Size of downloaded dataset files**: 443 MB
+- **Size of the auto-converted Parquet files**: 464 MB
+- **Number of rows**: 386