K-12 Indian Curriculum: 4.9 Million Multilingual Question-Answer Pairs

4,904,936 question-answer pairs covering the CBSE/NCERT K-12 curriculum across 12 Indian languages. The dataset was created by FoundryAILabs and was last updated on Hugging Face in March 2026. It includes entries in languages such as English, Hindi, Bengali, Telugu, Tamil, and Urdu.

Use Cases

• Train multilingual question-answering models based on the described K-12 curriculum content.
• Benchmark educational NLP systems for Indian languages based on the provided language distribution.
• Develop curriculum-aligned tutoring or assessment tools based on the CBSE/NCERT framework mentioned in the description.
• Fine-tune language models for low-resource Indian languages based on the parallel question-answer structure.

Strengths

• Large scale with 4.9 million total entries.
• Covers 12 languages, providing multilingual breadth.
• Specific language counts are provided, such as ~594K for English and ~374K for Urdu.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

FoundryAILabs via Hugging Face.

Collection Method

Likely compiled from CBSE/NCERT K-12 curriculum materials.

Time Range

null

Freshness

Last updated 2026-03-30 11:46:15; freshness should be verified.

Geography

India