Datasets:
Tasks:
Image-to-Text
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
License:
File size: 1,697 Bytes
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---
license: apache-2.0
task_categories:
- image-to-text
language:
- en
tags:
- pdf
- ocr
- document
- code
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). |