SynthLabs Chat Final Cleaned V2: Two-Turn Conversations with Chain-of-Thought Reasoning

SynthLabs Chat Final Cleaned V2 is a cleaned instruction-following chat dataset designed for supervised fine-tuning of reasoning-capable language models. Each example is a two-turn conversation with explicit chain-of-thought reasoning separated from the final answer. The dataset was authored by mkurman and last updated on June 20, 2026.

Use Cases

• Supervised fine-tuning of language models based on the described two-turn conversation structure.
• Training models to generate explicit chain-of-thought reasoning before providing a final answer.
• Benchmarking model performance on instruction-following tasks using the cleaned chat examples.
• Studying the separation of reasoning steps from final responses in conversational AI.

Strengths

• Data is explicitly cleaned for supervised fine-tuning, as stated in the description.
• Each record contains a structured two-turn conversation with separated reasoning and final answer components.
• The dataset includes a unique session identifier field for tracking conversation sessions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and dataset size are unknown, which may limit suitability assessment.
• License information is unavailable, which could restrict usage.

Provenance

Source

huggingface

Collection Method

Likely curated or synthesized for language model training, but specific gathering method is not detailed.

Freshness

Last updated 2026-06-20 15:11:42; freshness should be verified.