Mattimax/mobile-actions-ita

---
license: cc-by-4.0
tags:
- gemma3
- gemma
- google
- functiongemma
- mobile-actions
- function-calling
- DAC
- M.INC.
language:
- it
size_categories:
- 10M<n<100M
task_categories:
- text-generation
---

## Dataset Card: Mobile Actions (Italian Adaptation for Function Calling)

### Overview

This dataset is an Italian adaptation of the original Google **Mobile Actions** dataset, designed to train lightweight models for on-device function calling. It preserves the original tool-calling schema in English while translating user interactions and contextual instructions into Italian.

The goal is to enable models to map natural language instructions in Italian to structured function calls, maintaining compatibility with existing tool interfaces defined in English.

This dataset is particularly suited for small, efficient models such as FunctionGemma 270M, where strict formatting and linguistic clarity are critical for performance.

---

### Motivation

The original Mobile Actions dataset focuses on English-language interactions. However, real-world deployment—especially on mobile devices—requires support for multilingual user inputs.

This adaptation addresses:

* Italian-language user queries
* Alignment with existing tool APIs (kept in English)
* Improved usability for Italian-speaking users
* Preservation of function-calling reliability in constrained models

---

### Key Characteristics

* **Language**:

* User messages: Italian
* Tool names: English (unchanged)
* Tool descriptions: Italian (adapted)
* **Task Type**:

* Semantic parsing → function calling
* **Domain**:

* Mobile OS actions (calendar, email, contacts, settings, maps)
* **Format**:

* JSONL (one sample per line)

---

### Dataset Structure

Each entry in the dataset is a JSON object with the following fields:

#### `metadata`

Indicates dataset split:

* `"train"`
* `"eval"`

#### `tools`

A list of available functions the model can call. Each tool includes:

* `name`: Function name (English, unchanged)
* `description`: Description of the function (Italian)
* `parameters`: JSON Schema-like structure defining inputs

#### `messages`

A sequence of conversational turns:

* `role`: `"developer"`, `"user"`, or `"assistant"`
* `content`: Natural language input (Italian)
* `tool_calls`: Expected structured function call (assistant only)

---

### Example

```json
{
"metadata": "train",
"tools": [
{
"function": {
"name": "create_calendar_event",
"description": "Crea un nuovo evento del calendario.",
"parameters": {
"type": "object",
"properties": {
"datetime": {
"type": "string",
"description": "La data e l'ora dell'evento nel formato AAAA-MM-GGTHH:MM:SS."
},
"title": {
"type": "string",
"description": "Il titolo dell'evento."
}
},
"required": ["title", "datetime"]
}
}
}
],
"messages": [
{
"role": "developer",
"content": "Data e ora correnti: 2025-06-04T15:29:23. Sei un modello che può eseguire chiamate di funzioni."
},
{
"role": "user",
"content": "Imposta un promemoria per una riunione di sincronizzazione del team venerdì alle 14."
},
{
"role": "assistant",
"tool_calls": [
{
"function": {
"name": "create_calendar_event",
"arguments": {
"title": "Riunione di sincronizzazione del team",
"datetime": "2025-06-06T14:00:00"
}
}
}
]
}
]
}
```

---

### Differences from the Original Dataset

Compared to the original Mobile Actions dataset by Google:

* User inputs are translated into Italian
* Tool descriptions are localized into Italian
* Function names and schema remain unchanged (English)
* Conversational style adapted to natural Italian phrasing
* Temporal expressions interpreted and normalized into ISO format

---

### Intended Use

This dataset is designed for:

* Fine-tuning small language models for function calling
* On-device AI assistants
* Multilingual semantic parsing research
* Mobile automation systems

---

### Limitations

* Limited to Italian language adaptation
* Assumes correct interpretation of temporal expressions
* Does not cover all possible Android system actions
* May inherit biases from the original dataset

---

### License

This dataset is derived from the original Mobile Actions dataset by Google. Users must comply with the licensing terms of the original dataset as specified on its Hugging Face page:
[https://huggingface.co/datasets/google/mobile-actions](https://huggingface.co/datasets/google/mobile-actions)

---

### Citation

If you use this dataset, please cite both the original dataset and this adaptation:

```
@misc{mobile_actions_google,
title = {Mobile Actions Dataset},
author = {Google},
year = {2024},
howpublished = {\url{https://huggingface.co/datasets/google/mobile-actions}}
}
```

```
@misc{mobile_actions_it,
title = {Mobile Actions Italian Adaptation for Function Calling},
author = {Your Name},
year = {2026},
note = {Italian adaptation of the Google Mobile Actions dataset}
}
```

---

### Acknowledgements

This work is based on the Mobile Actions dataset developed by Google, adapted to support Italian-language interactions while preserving compatibility with existing function-calling pipelines.

license: CC BY 4.0
tags:
- gemma3
- gemma
- 谷歌（Google）
- FunctionGemma
- 移动操作（Mobile Actions）
- 函数调用（Function Calling）
- DAC
- M.INC.
language:
- 意大利语（it）
size_categories:
- 1000万<样本数<1亿
task_categories:
- 文本生成

## 数据集卡片：面向函数调用（Function Calling）的意大利语适配版移动操作（Mobile Actions）数据集

### 概述
本数据集是原始谷歌（Google）**移动操作（Mobile Actions）**数据集的意大利语适配版本，旨在训练用于端侧（on-device）函数调用的轻量级模型。其保留了原始的英语工具调用架构，同时将用户交互与上下文指令翻译为意大利语。

本数据集的目标是使模型能够将意大利语自然语言指令映射为结构化函数调用，同时保持与英语定义的现有工具接口的兼容性。

本数据集尤其适用于FunctionGemma 270M这类小型高效模型，严格的格式规范与语言清晰度对这类模型的性能至关重要。

### 创作动机
原始移动操作（Mobile Actions）数据集仅支持英语交互。但实际部署场景（尤其是移动设备端）需要支持多语言用户输入。

本适配版本解决了以下需求：
* 意大利语用户查询
* 与现有工具API对齐（保留英语格式）
* 提升意大利语使用者的易用性
* 在资源受限模型中保留函数调用的可靠性

### 核心特征
* **语言**：
* 用户消息：意大利语
* 工具名称：英语（保持不变）
* 工具描述：意大利语（已适配）
* **任务类型**：
* 语义解析 → 函数调用（Function Calling）
* **应用领域**：
* 移动操作系统操作（日历、邮件、联系人、设置、地图）
* **数据格式**：
* JSONL格式（每行一个样本）

### 数据集结构
数据集中的每条条目均为JSON对象，包含以下字段：

#### `metadata`（元数据）
用于标识数据集拆分：
* `"train"`：训练集
* `"eval"`：验证集

#### `tools`（工具列表）
模型可调用的可用函数列表。每个工具包含：
* `name`：函数名称（英语，保持不变）
* `description`：函数功能描述（意大利语）
* `parameters`：定义输入参数的类JSON Schema结构

#### `messages`（对话消息）
一系列对话轮次：
* `role`：角色，可选值为`"developer"`（开发者）、`"user"`（用户）或`"assistant"`（助手）
* `content`：自然语言输入（意大利语）
* `tool_calls`：预期的结构化函数调用（仅助手角色包含该字段）

### 示例
json
{
"metadata": "train",
"tools": [
{
"function": {
"name": "create_calendar_event",
"description": "Crea un nuovo evento del calendario.",
"parameters": {
"type": "object",
"properties": {
"datetime": {
"type": "string",
"description": "La data e l'ora dell'evento nel formato AAAA-MM-GGTHH:MM:SS."
},
"title": {
"type": "string",
"description": "Il titolo dell'evento."
}
},
"required": ["title", "datetime"]
}
}
}
],
"messages": [
{
"role": "developer",
"content": "Data e ora correnti: 2025-06-04T15:29:23. Sei un modello che può eseguire chiamate di funzioni."
},
{
"role": "user",
"content": "Imposta un promemoria per una riunione di sincronizzazione del team venerdì alle 14."
},
{
"role": "assistant",
"tool_calls": [
{
"function": {
"name": "create_calendar_event",
"arguments": {
"title": "Riunione di sincronizzazione del team",
"datetime": "2025-06-06T14:00:00"
}
}
}
]
}
]
}

### 与原始数据集的差异
与谷歌（Google）发布的原始移动操作（Mobile Actions）数据集相比：
* 用户输入已翻译为意大利语
* 工具描述已本地化为意大利语
* 函数名称与架构保持不变（英语格式）
* 对话风格适配自然意大利语表达
* 时间表达式已被解析并标准化为ISO格式

### 预期用途
本数据集适用于：
* 面向函数调用（Function Calling）的小语言模型微调
* 端侧（on-device）AI助手
* 多语言语义解析研究
* 移动自动化系统

### 局限性
* 仅支持意大利语适配
* 假设时间表达式可被正确解析
* 未覆盖所有安卓系统操作
* 可能继承原始数据集的偏见

### 许可证
本数据集衍生自谷歌（Google）发布的原始移动操作（Mobile Actions）数据集。使用者需遵守其Hugging Face页面中指定的原始数据集许可条款：[https://huggingface.co/datasets/google/mobile-actions](https://huggingface.co/datasets/google/mobile-actions)

### 引用规范
若使用本数据集，请同时引用原始数据集与本适配版本：

@misc{mobile_actions_google,
title = {Mobile Actions Dataset},
author = {Google},
year = {2024},
howpublished = {url{https://huggingface.co/datasets/google/mobile-actions}}
}

@misc{mobile_actions_it,
title = {Mobile Actions Italian Adaptation for Function Calling},
author = {Your Name},
year = {2026},
note = {Italian adaptation of the Google Mobile Actions dataset}
}

### 致谢
本工作基于谷歌（Google）开发的移动操作（Mobile Actions）数据集，适配以支持意大利语交互，同时保留与现有函数调用（Function Calling）流水线的兼容性。