All Indian Acts Dataset — Clean v2
This dataset contains cleaned, structured, and simplified information from all major Indian Acts and their legal sections, including updated versions and amendments from 2024–2025. It is designed for building legal NLP systems, AI chatbots, section predictors, and RAG-based search tools.
🔥 Key Features
- All Act, Section Prediction
- Text Classification
- Summarization
- Legal Q&A
- RAG (Retrieval Augmented Generation)
- Keyword-based Search
- Legal AI Assistant Development
📌 Dataset Structure
Each row includes:
| Column | Description |
|---|---|
| id | Unique ID for each entry |
| section | Section, clause, or provision from any Indian Act, including updated versions and amendments from 2024–2025. |
| title | Title of the legal section |
| description | Simplified legal explanation |
| keywords | Auto-generated important keywords |
| advice | Auto-generated legal advice (educational use only) |
⚡license_readme:
This dataset is distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). Users may copy, redistribute and adapt the material for any purpose, including commercial uses, as long as appropriate credit is given to the dataset creator (Hritik / ithpl1234).
⚠️ Disclaimer
This dataset is for research and educational purposes only. It does not replace professional legal advice.
✅Authors
- "Hritik (ithpl1234)"
📚 Citation
@dataset{lthpl1234_all_act_dataset_clean_v2_2025, title={All Act Dataset Clean v2}, author={Hritik (lthpl1234)}, year={2025} }
📥 How to Load the Dataset
from datasets import load_dataset
ds = load_dataset("lthpl1234/all_act_dataset_clean_v2")
print(ds["train"][0])
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