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[{"role": "system", "content": "## Tool-Use Protocol\n\n1. Reason inside <think>...</think> tags.\n2. Invoke one tool per turn using <tool_call> with JSON (keys: \"name\", \"arguments\").\n3. Environment returns results inside <tool_response>...</tool_response>.\n4. Reason again before the next action.\n5. When done or...
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[{"role": "system", "content": "## Tool-Use Protocol\n\n1. Reason inside <think>...</think> tags.\n2. Invoke one tool per turn using <tool_call> with JSON (keys: \"name\", \"arguments\").\n3. Environment returns results inside <tool_response>...</tool_response>.\n4. Reason again before the next action.\n5. When done or...
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[{"role": "system", "content": "## Tool-Use Protocol\n\n1. Reason inside <think>...</think> tags.\n2. Invoke one tool per turn using <tool_call> with JSON (keys: \"name\", \"arguments\").\n3. Environment returns results inside <tool_response>...</tool_response>.\n4. Reason again before the next action.\n5. When done or...
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[{"role": "system", "content": "## Tool-Use Protocol\n\n1. Reason inside <think>...</think> tags.\n2. Invoke one tool per turn using <tool_call> with JSON (keys: \"name\", \"arguments\").\n3. Environment returns results inside <tool_response>...</tool_response>.\n4. Reason again before the next action.\n5. When done or...
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Toucan - OSS High Quality (Hermes Reasoning Format)

Filtered and restructured subset of Agent-Ark/Toucan-1.5M. Format Inspiration: SupritiVijay/dr-tulu-sft-deep-research-agent-data-cleaned-rectified

Filters applied: OSS split only · overall_score > 3.0 · valid role transitions only

Size: ~333K examples


Format

Each example is a multi-turn conversation with strict role transitions:

system → user → reasoning → tool_call → tool_output → reasoning → ... → answer
Role Content
system Tool schemas + instructions
user Question
reasoning <think>...</think>
tool_call <tool_call>{"name": ..., "arguments": {...}}</tool_call>
tool_output <tool_response>...</tool_response>
answer <answer>...</answer>

Multi-turn conversations follow answer → user transitions.


Changes from Original

  • Mapped reasoning_content<think> blocks
  • Parsed tool call JSON; stripped call_id and null schema fields
  • Inserted synthetic <think> bridges where tool_output → answer transitions were missing reasoning
  • Wrapped final answers in <answer> tags
  • Dropped rows with invalid transitions (~1.2%)

Original dataset: Agent-Ark/Toucan-1.5M - Apache 2.0

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