google/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… See the full description on the dataset page: https://huggingface.co/datasets/google/mobile-actions.
| Author / organization | |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 924 (as reported by Hugging Face) |
| Likes | 289 |
| Created | 18 December 2025 |
| Last updated at source | 18 December 2025 |
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Connected in the knowledge graph
- ClarkBear/gemma4-e2b-mobile-actions-200Model · used to train
Recent changes
- 16 Oct 2026 Description: 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 → 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
Changes detected by Silytics between refreshes of the source.
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