GLM-5.0 Conversational AI Dataset in TeichAI Format

Crownelius provides 26,061 formatted conversation examples for training large language models. The dataset is structured to match the TeichAI/claude-4.5-opus-high-reasoning-250x format, containing system, user, and assistant message roles.

Use Cases

• Fine-tune a conversational AI model on 26,061 examples using the structured 'messages' array containing 'system', 'user', and 'assistant' roles.
• Analyze patterns in 'assistant' responses relative to 'user' prompts to study reasoning or instruction-following behaviors.
• Use the 'metadata' field associated with each conversation example for filtering or categorizing training data.

Strengths

• Contains 26,061 distinct conversation examples for model training.
• Data is explicitly formatted to match a known high-reasoning dataset structure, ensuring consistency.
• Available in both JSONL (249.17 MB) and Parquet (106.40 MB) file formats for different processing needs.

Limitations

• Specific column definitions and sample data are unavailable, making precise schema understanding difficult.
• The original source and data collection methodology are not detailed, limiting transparency.
• License information is unknown, which may restrict commercial or research usage.

Provenance

Source

Original source is crownelius/GLM-5.0-25000x on Hugging Face.

Collection Method

Formatted conversion to match the TeichAI/claude-4.5-opus-high-reasoning-250x structure.

Time Range

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Freshness

Last updated March 15, -2026.

Geography

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