DrishtiTable: A Benchmark for Table Structure Recognition in Indian Academic Textbooks

Try the model now! Upload any table image and get HTML structure back: DrishtiTable Live Demo

This is a sample release containing 20 representative tables (10 train / 5 val / 5 test). The full dataset contains 1,421 tables. Contact the authors for full dataset access.

DrishtiTable is a curated dataset of table images with high-quality HTML structure annotations from Indian academic textbooks published by S. Chand Publications. It serves as a benchmark for evaluating Table Structure Recognition (TSR) models on domain-specific educational content.

Benchmark Results (Full Dataset)

Model	Method	TEDS	S-TEDS
Qwen2.5-VL-7B	Zero-shot	58.8%	74.0%
o4-mini (OpenAI)	Zero-shot	61.4%	70.0%
GPT-4.1 (OpenAI)	Zero-shot	68.0%	80.8%
GPT-4o (OpenAI)	Zero-shot	71.1%	84.3%
DrishtiTable-Qwen2.5-VL-7B	SFT	83.2%	89.7%

Sample Dataset Statistics

Split	Samples (this release)	Samples (full dataset)
Train	10	1,141
Validation	5	145
Test	5	135
Total	20	1,421

Full Dataset Statistics

The complete DrishtiTable dataset spans 9 Indian academic textbooks across 6 subjects:

Subject	Tables
Financial Accounting	780
Business Statistics	261
Quantitative Techniques	183
Operation Research	108
Steam Tables (Engineering)	52
Ethics	37

Complexity Features (Full Dataset)

Feature	Count	Percentage
Merged cells (colspan/rowspan)	200	14.1%
Multi-level hierarchy	219	15.4%
Empty cells	340	23.9%
Bold text	890	62.6%

Data Format

Each sample consists of:

• Image: Cropped table region as PNG (images/)
• Annotation: HTML structure with semantic tags (annotations/)
• Metadata: Table properties as JSON (metadata/)

HTML Annotation Example

<table>
  <thead>
    <tr>
      <th>Year</th>
      <th colspan="2">Revenue</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>2024</td>
      <td>1,234</td>
      <td>5,678</td>
    </tr>
  </tbody>
</table>

File Structure

DrishtiTable/
  images/           # 20 PNG table images (sample)
  annotations/      # 20 HTML files
  metadata/         # 20 JSON metadata files
  train.csv         # 10 training samples
  val.csv           # 5 validation samples
  test.csv          # 5 test samples

Fine-Tuned Model and Demo

Resource	Link
Live Demo	DrishtiTable Space
Fine-tuned Model	Nalandadata/DrishtiTable-Qwen2.5-VL-7B
Base Model	Qwen/Qwen2.5-VL-7B-Instruct

Citation

@article{drishtitable2026,
  title={Domain-Specific Fine-Tuning for Table Structure Recognition: A 7B Open Model Outperforms GPT-4o with 1,141 Training Samples},
  author={Nalanda Data},
  year={2026}
}

Commercial Use & Licensing

This dataset is released under Apache 2.0, which permits commercial use under the terms of that license.

The public release on Hugging Face is a sample of 20 tables. The full DrishtiTable corpus contains 1,421 expert-annotated tables across 9 Indian academic textbooks, spanning Financial Accounting, Business Statistics, Quantitative Techniques, Operations Research, Steam Tables, and Ethics.

For commercial users who need:

• Full dataset access — 1,421 tables across 6 subjects
• Custom slices — specific subjects, table complexity profiles, multi-page layouts
• Custom data work — additional textbook collection, annotation, evaluation pipelines
• Production deployment support for fine-tuned TSR models

Contact

For commercial licensing, full dataset access, custom data work, or partnerships:
📧 info@nalandadata.ai

For technical questions, integration help, or fine-tuning support:
📧 tech@nalandadata.ai

🌐 nalandadata.ai

License

Apache 2.0