datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
VL-RouterBench
VL-RouterBench: A Benchmark for Vision–Language Model Routing
Overview
We provides a clean, reproducible implementation of VL-RouterBench, a benchmark and toolkit for routing across a pool of Vision–Language Models (VLMs) under both performance and performance–cost objectives.
📦 Data Preparation
VL-RouterBench converts VLMEvalKit outputs into a unified routing benchmark.
To make data setup easier, we provide a pre-packaged archive… See the full description on the dataset page: https://huggingface.co/datasets/KinghtH/VL-RouterBench.latentsig-med-triage-router
LatentSig Medical Triage Router Dataset
1,000 verified medical triage tool-call samples — 500 English + 500 Hinglish — for fine-tuning Small Language Models (SLMs) as structured medical triage routers.
Overview
This dataset trains SLMs (1B–3B parameters) to act as reliable structured tool-callers for clinical medical triage. Given a patient symptom description, the model must:
Select the correct tool from 7 available medical tools
Output a valid JSON tool call… See the full description on the dataset page: https://huggingface.co/datasets/fhai50032/latentsig-med-triage-router.VL-RouterBench-old
VL-RouterBench: A Benchmark for Vision–Language Model Routing
Overview
We provides a clean, reproducible implementation of VL-RouterBench, a benchmark and toolkit for routing across a pool of Vision–Language Models (VLMs) under both performance and performance–cost objectives.
📦 Data Preparation
VL-RouterBench converts VLMEvalKit outputs into a unified routing benchmark.
To make data setup easier, we provide a pre-packaged archive… See the full description on the dataset page: https://huggingface.co/datasets/KinghtH/VL-RouterBench-old.internet-router