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Specific-Labs releases Scaffold Agent dataset and announces 5-10B model training

·2026.10.27 08:07

Key point

The new dataset contains 19,652 records from real coding sessions, while the renamed Scaffold Chat dataset now has 3.45 million examples after removing tool calling.

Details

  • Specific-Labs released Scaffold Agent, a new dataset containing 19,652 records (1,005M tokens) of real, executed coding agent sessions from near-frontier models.
  • The original ScaffoldCoT dataset was renamed to Scaffold Chat and reduced to 3,450,159 examples after removing all tool calling data due to reliability issues.
  • A heavily modified 5-10B parameter model is currently in training using these datasets, designed for fast inference on consumer GPUs and laptops.
  • Scaffold Agent records are verified through hidden tests and code quality grades, ensuring every tool call is a real execution rather than a simulation.
datasetcoding-agentllm-trainingscaffold-agentscaffold-chatspecific-labs
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