Non-STEM Textbook Arabic: 1,000-10,000 Educational Records for LLMs

InfoBayAI published this Arabic non-STEM textbook sample in March 2026, providing between 1,000 and 10,000 records for LLM training. It is derived from a larger multilingual corpus of 1.9 billion words across 27,000 textbooks and is structured for instruction tuning and evaluation.

Use Cases

• Instruction tuning of Arabic LLMs using non-STEM educational text
• Evaluating model comprehension of Arabic humanities and social sciences
• Developing Retrieval-Augmented Generation (RAG) systems for Arabic educational content

Strengths

• CC-BY-4.0 open license for commercial and research use
• Curated from a massive source of 27,000+ textbooks
• Specifically structured for SFT and RLHF workflows

Limitations

• Small sample size of 1,000 to 10,000 rows compared to the full corpus
• Specific non-STEM subjects included are not explicitly enumerated
• Lack of column metadata in the provided documentation

Provenance

Source

InfoBayAI

Collection Method

Curated from a corpus of 27,000+ textbooks

Freshness

Last updated March 2026.