Duplicate from google/mobile-actions

Co-authored-by: Juyeong Ji <bebechien@users.noreply.huggingface.co>

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README.md

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+---
+license: cc-by-4.0
+tags:
+  - gemma3
+  - gemma
+  - google
+  - functiongemma
+  - mobile-actions
+  - function-calling
+language:
+- en
+size_categories:
+- 10M<n<100M
+---
+
+# Mobile Actions: A Dataset for On-Device Function Calling
+
+The dataset contains conversational traces designed to train lightweight models (such as FunctionGemma 270M) to translate natural language instructions into executable function calls for Android OS system tools.
+
+## Dataset Format
+
+The dataset is provided in JSONL format. Each line represents a data sample. The
+dataset is pre-split into training and evaluation sets. This distinction is
+denoted by the `metadata` field within each sample.
+
+Each JSON object in the file contains the following fields:
+
+-   `metadata`: Contains metadata about the data sample for splitting. The value is either "train" or "eval".
+-   `tools`: A list of available tools (functions) that the model can call. Each tool has:
+    -   `function`: An object describing the function:
+        -   `name`: The name of the function.
+        -   `description`: A description of what the function does.
+        -   `parameters`: An object describing the parameters the function accepts, following a JSON Schema like structure.
+-   `messages`: A list of messages, usually containing user input and the expected function call.
+    -   `role`: Typically "user" for the input command and "assistant" for the function call.
+    -   `content`: The natural language input from the user.
+    -   `tool_calls`: (For assistant role) A list of tool calls the model should predict. Each tool call has:
+        -   `id`: A unique identifier for the tool call.
+        -   `type`: Always "function".
+        -   `function`: An object specifying the function to call:
+            -   `name`: The name of the function.
+            -   `arguments`: A stringified JSON object containing the arguments for the function.

dataset.jsonl

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