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Description
A synthetic dataset for fine-tuning small language models to route user requests to the correct macOS-native tool. The dataset was created by author nuhmanpk and was last updated on May 18, 2026. It focuses on tasks such as opening apps, controlling system settings, and managing files, network, and media.
Use Cases
Fine-tuning language models for macOS tool selection based on user request descriptions.
Training semantic routers for system automation tasks based on the described macOS-native domains.
Benchmarking model performance on synthetic intent-to-tool mapping tasks for operating systems.
Developing virtual assistants capable of executing system-level commands on macOS.
Strengths
Dataset is explicitly designed for a specific task: fine-tuning models for macOS tool selection.
Focuses on a defined set of macOS-native domains including system settings, file management, and media control.
Last update timestamp (2026-05-18 17:53:21) is provided, indicating recent maintenance.
Limitations
Dataset size, row count, and file formats are unknown, which limits suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
Data is synthetic, which may not fully capture the complexity of real-world user requests.
Provenance
Source
huggingface
Collection Method
Synthetically generated, inspired by an existing semantic router dataset.
Freshness
Last updated 2026-05-18 17:53:21.
License information is unknown; users must verify terms of use before downloading.