SHRUTI (श्रुति — "That which is heard", sacred revealed texts) preserves classical Indian text corpora in machine-readable format for educational AI.

This dataset maps all 133 adhikarams (chapters) of the Thirukkural — the 2,000-year-old Tamil ethical masterpiece — to the modern CBSE/NEP curriculum framework, enabling IKS-integrated education.

Dataset Summary

Property	Value
Source text	Thirukkural by Thiruvalluvar (~2nd century BCE – 5th century CE)
Rows	398 mappings
Adhikarams	133 chapters across 3 pals (books)
Target curriculum	CBSE / NEP 2020
Languages	Tamil (original kurals) + English (translations, mappings)
Formats	CSV (51 KB) + JSON (510 KB)
License	CC BY-NC 4.0

What This Dataset Contains

Each row maps a Thirukkural adhikaram to:

CBSE subject — Which school subject it aligns with
Class range — Which grade level (6–8, 8–10, 9–10, 11–12)
NEP competency — Which NEP 2020 learning competency it supports
Topic — Specific curriculum topic connection
Sample kural — Tamil original + English translation

The Three Pals (Books)

Pal	Tamil	Adhikarams	Theme
Aram	அறத்துப்பால்	1–38	Virtue / Dharma
Porul	பொருட்பால்	39–108	Wealth / Statecraft
Inbam	இன்பத்துப்பால்	109–133	Love / Desire

Data Structure

CSV Format

adhikaram,name_english,pal,cbse_subject,class_range,nep_competency,topic,kural_count,sample_kural_tamil,sample_kural_english
1,The Praise of God,Aram (Virtue/Dharma),Moral Science,6-8,Ethical Reasoning,Spiritual awareness and gratitude,10,அகர முதல எழுத்தெல்லாம்...,As 'A' is the first of all letters...
2,The Blessing of Rain,Aram (Virtue/Dharma),Environmental Science,6-8,Environmental Awareness,Water cycle and ecological importance,10,...,...

JSON Format

The JSON version includes the same data in a structured format suitable for direct ingestion by educational AI systems.

Example Mappings

Adhikaram	Kural Topic	CBSE Subject	Class	NEP Competency
1 — Praise of God	Spiritual awareness	Moral Science	6–8	Ethical Reasoning
2 — Blessing of Rain	Water and ecology	Environmental Science	6–8	Environmental Awareness
3 — Greatness of Ascetics	Self-discipline	Moral Science	8–10	Ethical Reasoning
40 — The Learning Spirit	Value of education	Language Arts	6–8	Literacy & Communication
73 — The Army	Strategic organization	Social Studies	9–10	Civic Awareness
95 — Medicine	Health and wellness	Biology	11–12	Scientific Temper

Use Cases

IKS-Integrated Lesson Planning — Teachers can find which Thirukkural chapters align with their current CBSE topic
Adaptive Tutoring — AI systems (like VIDYA) can select relevant kurals based on the student's current subject and grade
Cultural Contextualization — Link abstract curriculum concepts to 2,000-year-old wisdom literature
Multilingual Education — Tamil-medium students encounter familiar kurals; English-medium students discover them

How to Use

Loading with Python

import pandas as pd

df = pd.read_csv("thirukkural_cbse_mapping.csv")

# Find all adhikarams for Class 9-10 Mathematics
math_kurals = df[(df["cbse_subject"] == "Mathematics") & (df["class_range"] == "9-10")]

# Find all adhikarams related to Ethical Reasoning
ethics = df[df["nep_competency"] == "Ethical Reasoning"]

Loading with `datasets`

from datasets import load_dataset
ds = load_dataset("RSL-INTRINSICLab-IIT/RSL-SHRUTI-Thirukkural")

Citation

@dataset{rsl_shruti_thirukkural,
  title={RSL-SHRUTI Thirukkural: CBSE Curriculum Mapping of Thirukkural for IKS-Integrated Education},
  author={Sivasubramani, Santhosh},
  year={2026},
  institution={INTRINSIC Lab, RSL Foundation, IIT Delhi},
  url={https://huggingface.co/datasets/RSL-INTRINSICLab-IIT/RSL-SHRUTI-Thirukkural}
}

Related Resources

RSL-PRAJNA-v2 — Benchmark including literature tier with Thirukkural questions
RSL-BHARATI-v3 — Tokenizer with native Tamil subword support
RSL-SETU-LoRA-v35 — Teaching model trained on Thirukkural IKS pairs

License

CC BY-NC 4.0 — Free for research and educational use. Commercial use requires a license from IIT Delhi.

Acknowledgment

The Thirukkural is a public domain masterpiece of Tamil literature. This dataset maps it to modern curriculum frameworks; we claim no copyright over the original text.

Demonstrated at the Bharat Bodhan AI Conclave, anchored and driven by the Ministry of Education and IIT Madras, New Delhi.

Contact

Prof. Santhosh Sivasubramani Director, INTRINSIC Laboratory RSL Foundation, Centre for SeNSE, IIT Delhi ssivasub@iitd.ac.in https://intrinsic.iitd.ac.in

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RSL-SHRUTI Thirukkural — CBSE Curriculum Mapping