Zerde QA: 51,000 Kazakh Question-Answer Pairs Across 20+ Domains

51,000 Kazakh question-answer pairs designed for instruction tuning of large language models. The dataset covers more than 20 domains, making it suitable for building general-purpose Kazakh language AI assistants. It is hosted on Kaggle and is formatted for immediate use in fine-tuning tasks.

Use Cases

• Fine-tune a Kazakh language model for instruction following based on the described QA pairs.
• Train a multilingual question-answering system based on the Kazakh language examples.
• Benchmark LLM performance on Kazakh language tasks across diverse domains.

Strengths

• Contains 51,000 question-answer pairs, providing substantial training data.
• Covers more than 20 domains, suggesting broad topical coverage.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle