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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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
[{"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...
train
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Mobile Actions — Cleaned & Rectified

8.7K on-device function calling conversations converted into a strict reasoning + tool-call format. Covers 7 Android mobile actions including calendar events, emails, contacts, maps, flashlight, and Wi-Fi settings.

Format

Each row contains a structured conversation with explicit reasoning traces and validated tool calls.

Message Roles

Role Content
system Tool-use protocol + cleaned JSON tool schemas + datetime/day-of-week context
user Natural language instruction
reasoning <think>…</think> — model's step-by-step reasoning
tool_call <tool_call>{"name": "...", "arguments": {...}}</tool_call> — function invocation
tool_output <tool_response>…</tool_response> — synthetic success response
answer <answer>…</answer> — confirmation to user

Trajectory Structure

Single-call (67%):

system → user → reasoning → tool_call → tool_output → reasoning → answer

Multi-call (33%, 2-3 calls):

system → user → reasoning → tool_call → tool_output → reasoning → tool_call → tool_output → reasoning → answer

Schema

Single Parquet file with zstd compression.

Column Type Description
messages string Converted conversation (JSON list of {role, content})
split string Always train

Size

8,693 rows (train split only, eval split excluded).

Tools

7 mobile device actions, always all 7 present per row:

Tool Calls Share
create_calendar_event 3,544 27.5%
send_email 2,276 17.7%
create_contact 2,111 16.4%
show_map 2,011 15.6%
open_wifi_settings 1,229 9.5%
turn_on_flashlight 907 7.0%
turn_off_flashlight 808 6.3%

Conversion Details

  • developer role mapped to system with tool-use protocol prepended
  • Tool schemas cleaned: null-valued properties stripped (original has all 10 keys per tool with most null)
  • Tool call arguments cleaned: null-valued keys removed (original passes all 10 arg keys per call)
  • HF-parsed datetime timestamps converted back to YYYY-MM-DDTHH:MM:SS strings
  • Multi-call assistant turns (2-3 tool_calls) split into individual tool_call → tool_output → reasoning cycles
  • Synthetic {"status": "success"} tool responses added (original has no tool responses)
  • 12 template variations each for bridge reasoning, between-call reasoning, post-tool reasoning, and confirmation answers
  • All role transitions validated against strict FSM

License

CC-BY-4.0

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