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Datasets:
Arko007
/
assistive-ocr-data-acquisition

Tasks:
Image-to-Text
Modalities:
Image
Text
Formats:
csv
Sub-tasks:
image-captioning
Languages:
Bengali
English
Hindi
Size:
1K - 10K
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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metadata 
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 

from datasets import load_dataset

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