|
|
--- |
|
|
license: apache-2.0 |
|
|
task_categories: |
|
|
- image-to-text |
|
|
language: |
|
|
- en |
|
|
tags: |
|
|
- pdf |
|
|
- document |
|
|
- code |
|
|
- RAW-PDFs |
|
|
- ocr |
|
|
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). |
