🏛️ Indic-CIB: Citizen Information Board Dataset
A Benchmark for Multilingual Indic Scene Text & Tabular Financial Extraction
Bridging the gap between rural public governance signage and open-source Document Intelligence.
📌 Dataset Summary
Under major Indian public works initiatives—such as the Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGA) and the **Pradhan Mantri Gram Sadak Yojana (PMGSY)**—local governing bodies (Gram Panchayats) are mandated to erect physical Citizen Information Boards (नागरिक सूचना पट्ट / CIB) at public asset sites.
These outdoor installations serve as the bedrock of grassroots public auditing, displaying critical civic and financial data:
- Asset Description: Details of the physical asset (e.g., roads, farm ponds, percolation tanks, check dams).
- Financial Breakdowns: Sanctioned expenditure, skilled material allocations, and unskilled manual labor funds.
- Administrative Metadata: Unique work identification codes, implementing agencies, and execution timelines.
Extracting structured data from real-world CIBs presents unique computer vision challenges: outdoor weathering, hand-painted lettering, complex tabular grids, and regional Indic typography. The Indic-CIB Dataset provides procedurally generated, ground-truth-annotated boards designed to benchmark and train Vision-Language Models (VLMs) and OCR layout pipelines for automated civic audits.
🌐 Supported Scripts & Languages
This benchmark currently spans two major linguistic families of India, covering four prominent regional languages:
| Language Family | Language | Script | Region / Primary Context |
|---|---|---|---|
| Indo-Aryan | Hindi (हिन्दी) | Devanagari | Northern & Central Gram Panchayats |
| Indo-Aryan | Marathi (मराठी) | Devanagari | Western India (Maharashtra MGNREGS / Jalyukt Shivar) |
| Dravidian | Tamil (தமிழ்) | Tamil | Southern India (Tamil Nadu Rural Works) |
| Dravidian | Telugu (తెలుగు) | Telugu | Southern India (Andhra Pradesh & Telangana Panchayats) |
🗂️ Dataset Structure & Fields
Each entry in the dataset pairs a high-resolution synthesized board image with standardized key-value metadata and raw tabular Markdown.
Field Definitions
file_name(string): Relative file path to the board image within the repository (train/cib_...jpg).language(string): ISO-style language identifier (hindi,marathi,tamil,telugu).script(string): Writing system classification (devanagariordravidian).work_name(string): Name and description of the civil works project in the native regional script.work_id(string): Official alphanumeric identification code assigned to the project.sanctioned_amount_inr(float): Total approved capital expenditure in Indian National Rupees (₹).labor_cost_inr(float): Component allocated for unskilled labor and wage compensation.material_cost_inr(float): Component reserved for raw materials and technical equipment.completion_date(string): Scheduled or recorded completion timestamp (DD/MM/YYYY).table_markdown(string): Clean Markdown table representation of the board's core financial ledger.
Annotation Preview (metadata.jsonl)
{
"file_name": "train/cib_marathi_0001.jpg",
"language": "marathi",
"script": "devanagari",
"work_name": "पांदण रस्ता खडीकरण",
"work_id": "IN-MA-482019",
"sanctioned_amount_inr": 450000.0,
"labor_cost_inr": 270000.0,
"material_cost_inr": 180000.0,
"completion_date": "24/11/2024",
"table_markdown": "| Field | Value |\n|---|---|\n| Work | पांदण रस्ता खडीकरण |\n| Sanctioned | ₹4,50,000.00 |\n| Labor | ₹2,70,000.00 |\n| Material | ₹1,80,000.00 |"
}
📜 License
This project is licensed under the Apache License 2.0.
📑 Citation
If you use this dataset or tool in your research or project, please cite it using the following format:
@misc{indic_cib_dataset,
title={Indic-CIB: Synthetic Benchmark for Citizen Information Board OCR and Tabular Extraction},
author={Patil, Rohit Manikrao},
year={2026},
publisher={Hugging Face},
howpublished={\url{[https://huggingface.co/datasets/Litap007/indic-citizen-information-board](https://huggingface.co/datasets/Litap007/indic-citizen-information-board)}}
}
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