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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# INTRINSIC Lab — IIT Delhi | RSL Foundation
+
+**Indian Knowledge Systems (IKS) for Adaptive AI Education**
+
+Open models, datasets, and tools for integrating classical Indian pedagogical traditions into modern education systems.
+
+---
+
+## The VIDYA Platform
+
+**VIDYA** is an IKS-integrated adaptive education platform. It draws on 43 classical Indian teaching techniques — spanning Vedic Mathematics, Nyaya reasoning, Patha recitation methods, and more — to personalize instruction for each student.
+
+These repositories provide the core components released under this initiative.
+
+## Repositories
+
+### Datasets
+
+| Repository | Description |
+|-----------|-------------|
+| [RSL-PRAJNA-v2](https://huggingface.co/datasets/RSL-INTRINSICLab-IIT/RSL-PRAJNA-v2) | IKS training corpus — instruction and pretraining data in 7 languages |
+| [RSL-SHRUTI-Sangraha](https://huggingface.co/datasets/RSL-INTRINSICLab-IIT/RSL-SHRUTI-Sangraha) | Cleaned classical Indian texts — Sanskrit, Tamil, Telugu, Kannada, Malayalam |
+| [RSL-SHRUTI-Thirukkural](https://huggingface.co/datasets/RSL-INTRINSICLab-IIT/RSL-SHRUTI-Thirukkural) | Thirukkural corpus — 1,330 kurals (CC0) |
+
+### Models
+
+| Repository | Description |
+|-----------|-------------|
+| [RSL-SETU-LoRA-v35](https://huggingface.co/RSL-INTRINSICLab-IIT/RSL-SETU-LoRA-v35) | IKS Teaching Language Model — LoRA adapter on Airavata (7B) |
+| [RSL-SETU-Classifier-15M](https://huggingface.co/RSL-INTRINSICLab-IIT/RSL-SETU-Classifier-15M) | IKS Technique Classifier — 43 classes, CPU-ready |
+| [RSL-BHARATI-v3](https://huggingface.co/RSL-INTRINSICLab-IIT/RSL-BHARATI-v3) | Multilingual tokenizer — 32K SentencePiece BPE, 7 Indian languages |
+
+### Software
+
+| Repository | Description |
+|-----------|-------------|
+| [RSL-SMRITI](https://huggingface.co/RSL-INTRINSICLab-IIT/RSL-SMRITI) | Software-based cognitive load and attention sensing |
+
+## Languages
+
+English, Hindi, Sanskrit, Tamil, Telugu, Kannada, Malayalam
+
+## Naming Convention
+
+| Prefix | Sanskrit Origin | Role |
+|--------|-----------------|------|
+| **PRAJNA** | प्रज्ञा — wisdom | Training data |
+| **SETU** | सेतु — bridge | Models |
+| **BHARATI** | भारती — speech | Tokenizer |
+| **SHRUTI** | श्रुति — heard knowledge | Text corpora |
+| **SMRITI** | स्मृति — remembered knowledge | Cognitive sensing |
+
+## License
+
+All repositories: **CC BY-NC 4.0** — free for research, restricted for commercial use.
+
+## Team
+
+**INTRINSIC Laboratory**  
+Centre for SeNSE, Indian Institute of Technology Delhi
+
+**Principal Investigator:** Prof. Santhosh Sivasubramani  
+Contact: ssivasub@iitd.ac.in  
+Lab: [intrinsic.iitd.ac.in](https://intrinsic.iitd.ac.in)