Multilingual NCERT K-12 Question-Answer Pairs for AI Tutoring

2170 question-and-answer pairs in Hindi, Marathi, and English support K-12 AI tutoring applications. The dataset is derived from the NCERT curriculum, a standard for Indian school education. The author, organization, and last update date are unknown.

Use Cases

• Train a multilingual question-answering model using the provided Q&A pairs in Hindi, Marathi, and English.
• Fine-tune a language model for educational content generation based on the NCERT curriculum topics present in the text.
• Benchmark the performance of machine translation models on educational text across the three included languages.
• Develop a retrieval-augmented generation (RAG) system for tutoring by using the Q&A pairs as a knowledge base.

Strengths

• Contains 2170 distinct Q&A pairs.
• Covers three languages: Hindi, Marathi, and English.

Limitations

• Small size of 2170 pairs may limit model training without augmentation.
• Unknown sample composition and potential class imbalance across subjects or languages.
• Source and collection method are unspecified, raising questions about accuracy and consistency.

Provenance

Source

NCERT (National Council of Educational Research and Training) curriculum.

Geography

India