SynthLabs Chat Final Cleaned v3 is a cleaned instruction-following chat dataset for supervised fine-tuning of language models. Each example is a 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 instruction-following chat examples.
- Training models to generate explicit chain-of-thought reasoning based on the 'reasoning_content' field.
- Evaluating model performance on multi-turn conversational tasks based on the 'messages' list structure.
- Studying the separation of reasoning and final answers in dialogue systems.
Strengths
- Conversations contain explicit chain-of-thought reasoning separated from final answers.
- Each record contains a structured 'messages' list for 2-8+ conversation turns.
- Dataset is specifically cleaned for supervised fine-tuning tasks.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- huggingface
- Freshness
- Last updated 2026-06-20 16:02:50; freshness should be verified.