mobile-actions
mobile-actions
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… See the full description on the dataset page: https://huggingface.co/datasets/google/mobile-actions.Mobile-Actions-Combined
Mobile Action
This dataset is meade by concatenating these two mobile-actions datasets: Extended Mobile Actions
and Google Mobile Actions.
Dataset Format
Record's fields:
metadata: A flag to determine the sample type assigned among training and evaluation datasets.
tools: Contains a list of available tools (functions) schema that the model literally is able to call and made of the following elements:
function: An object corresponding to a function:
name: name… See the full description on the dataset page: https://huggingface.co/datasets/UGrowAI/Mobile-Actions-Combined.mobile-actions-merged
Mobile Action
This dataset is meade by concatenating these two mobile-actions datasets: Extended Mobile Actions
and Google Mobile Actions.
Dataset Format
Record's fields:
metadata: A flag to determine the sample type assigned among training and evaluation datasets.
tools: Contains a list of available tools (functions) schema that the model literally is able to call and made of the following elements:
function: An object corresponding to a function:
name: name… See the full description on the dataset page: https://huggingface.co/datasets/AliRGHZ/mobile-actions-merged.mobile-actions-ita
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… See the full description on the dataset page: https://huggingface.co/datasets/Mattimax/mobile-actions-ita.Mobile-Actions-Extended
Mobile Action
Mobile Actions is the dataset designed to fine-tune function calling models such as FunctionGemma 270M over mobile functionalities.
The dataset contains conversational traces over current 15 Android OS system capabilities.
Fine-tuned model is able to execute on-device's functions with the following provided tools:
- Turning the flashlight on
- Turning the flashlight off
- Send email
- Check battery status
- Check bluetooth status
- Make a phone call
- Send sms… See the full description on the dataset page: https://huggingface.co/datasets/UGrowAI/Mobile-Actions-Extended.Mobile-Actions
Mobile Action
Mobile Actions is the dataset designed to fine-tune function calling models such as FunctionGemma 270M over mobile functionalities.
The dataset contains conversational traces over current 15 Android OS system capabilities.
Fine-tuned model is able to execute on-device's functions with the following provided tools:
- Turning the flashlight on
- Turning the flashlight off
- Send email
- Check battery status
- Check bluetooth status
- Make a phone call
- Send sms… See the full description on the dataset page: https://huggingface.co/datasets/AliRGHZ/Mobile-Actions.