---
license: cc-by-sa-4.0
annotations_crew: data-acquisition-pipeline
language:
- bn
- en
- hi
multilinguality: multilingual
pretty_name: Assistive OCR Benchmark Data
size_categories:
- 1K<n<10K
task_categories:
- image-to-text
task_ids:
- image-captioning
configs:
- config_name: default
  data_files: dataset/benchmark_manifest.csv
sources:
- name: dmedhi/indian-medicines
  url: https://huggingface.co/datasets/dmedhi/indian-medicines
- name: Open Food Facts (India)
  url: https://world.openfoodfacts.org/
---

# Assistive OCR Benchmark Data

Multilingual OCR benchmark for visually impaired assistance — Indian medicine labels, packaged goods, and signage in Bengali, Hindi, and English.

## Dataset Summary

| Property | Value |
|----------|-------|
| Total images | 7,004 rows in manifest |
| Image sources | `images/hf_medicines/`, `images/openfoodfacts/`, `images/synthetic/` |
| Domains | medicine_packaging (6,588), packaged_goods (386), signage (30) |
| Languages | bn+en (5,337), hi+en (868), en (799) |
| Splits | dev (4,217), val (1,337), test (1,450) |
| License | CC-BY-SA-4.0 (OF images), CC-BY-SA-4.0 (synthetic), CC-BY-SA-4.0 (curated) |

## Data Sources

| Source | Count | License |
|--------|-------|---------|
| dmedhi/indian-medicines (HF) | 6,552 | Public HF dataset; images from 1mg.com product listings |
| Open Food Facts | 362 | CC-BY-SA-4.0 |
| assistive-ocr-synthetic | 90 | CC-BY-SA-4.0 |

## Manifest Schema (`benchmark_manifest.csv`)

| Column | Description |
|--------|-------------|
| `id` | Unique identifier |
| `image_path` | Relative path in `images/` directory |
| `transcript` | Ground truth text |
| `language_profile` | Language composition (bn+en, hi+en, en) |
| `domain` | medicine_packaging, packaged_goods, signage |
| `source_object_id` | Original source identifier |
| `split` | dev, val, or test |
| `annotation_status` | Annotation quality level |
| `source_dataset` | Origin dataset name |
| `source_license` | License information |

## Directory Layout

```
.
├── benchmark_manifest.csv        # Full manifest (7,004 rows)
├── benchmark_manifest_summary.json
├── acquisition.log               # Pipeline execution log
├── errors.log                    # Error log
├── images/
│   ├── hf_medicines/             # 6,552 JPGs from dmedhi/indian-medicines
│   ├── openfoodfacts/            # 362 JPGs from Open Food Facts India
│   └── synthetic/                # 90 PNGs (PIL-generated)
└── thumbnails/                   # 45 sample thumbnails
```

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("Arko007/assistive-ocr-data-acquisition", split="dev")
print(dataset[0]["image_path"], dataset[0]["transcript"])
```