---
license: apache-2.0
task_categories:
- image-to-text
language:
- en
tags:
- document
- code
- RAW-PDFs
- ocr
- pdf
- text
size_categories:
- 1K<n<10K
---

# Openpdf-Analysis-Recognition

The **Openpdf-Analysis-Recognition** dataset is curated for tasks related to image-to-text recognition, particularly for scanned document images and OCR (Optical Character Recognition) use cases. It contains over 6,900 images in a structured `imagefolder` format suitable for training models on document parsing, PDF image understanding, and layout/text extraction tasks.

| **Attribute** | **Value**              |
|---------------|------------------------|
| Task          | Image-to-Text          |
| Modality      | Image                  |
| Format        | ImageFolder            |
| Language      | English                |
| License       | Apache 2.0             |
| Size          | 1K - 10K samples       |
| Split         | train (6,910 samples)  |


### Key Features

* Contains **6.91k** training samples of document-style images.
* Each sample is an **image**, with no associated text or label (raw OCR input).
* Dataset is auto-converted to **Parquet** format by Hugging Face for efficient streaming and processing.
* Suitable for OCR research, PDF document parsing, and code/text recognition tasks.

## Usage

You can load the dataset using the Hugging Face `datasets` library:

```python
from datasets import load_dataset

dataset = load_dataset("prithivMLmods/Openpdf-Analysis-Recognition")
```

## File Size

* **Total download size**: \~2.72 GB
* **Auto-converted Parquet size**: \~2.71 GB

## License

This dataset is released under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).