BilgeAI: Turkish Language Model Training Data for Instruction and Pretraining

BilgeAI is a collection of Turkish text datasets for language model training, created by author vural2123 and last updated on March 28, 2026. The repository is structured into separate folders for instruction tuning and raw text pretraining. Each folder contains JSONL files with specific formats for different training tasks.

Use Cases

• Instruction tuning of language models based on the structured 'system', 'prompt', and 'completion' fields.
• Pretraining language models on raw Turkish text data.
• Building conversational AI agents using the instruction-response pairs.
• Benchmarking Turkish language model performance on instruction-following tasks.

Strengths

• Provides a clear separation of data for two distinct training paradigms: instruction tuning and pretraining.
• Data is structured in a standard JSONL format, with explicit field names for instruction tuning ('system', 'prompt', 'completion') and pretraining ('text').
• Last updated on 2026-03-28 20:42:50, indicating recent maintenance.

Limitations

• Description metadata is limited; actual data quality, size, and content require manual inspection after download.
• Row count, file size, and column-level documentation are absent, which may limit suitability assessment.
• License information is unknown, which could restrict commercial or research use.

Provenance

Source

huggingface

Collection Method

Collection method is not described.

Time Range

Temporal coverage of the source data is not specified.

Freshness

Last updated 2026-03-28 20:42:50.

Geography

Spatial coverage is not specified, but the data is in Turkish.