datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
csc-wireless-latency-synthetic-100k
CSC Wireless Latency Synthetic Dataset (100k)
This synthetic dataset provides 100,000 prompt-completion pairs designed for training and evaluating PHY/MAC cross-layer optimization models in hybrid Li-Fi/RF wireless networks.
Official Core Implementation & Runtime
To parse, simulate, or process this dataset according to the official protocol specifications, please utilize the official runtime library:
Core Protocol Library (npm):… See the full description on the dataset page: https://huggingface.co/datasets/csc-architecture/csc-wireless-latency-synthetic-100k.on-device-latency
On-Device Latency Benchmark
Real-world inference latency data for mobile-optimized LLMs, measured on actual phone hardware.
Hardware
Spec
Value
Device
Samsung S20 FE 5G
SoC
Snapdragon 865
RAM
8GB
OS
Android 13
Runtime
llama.cpp (4 threads)
Metrics
tokens_per_sec — Generation speed during inference
latency_ms_per_token — Time per generated token
ram_usage_mb — Peak RAM during inference
file_size_mb — GGUF model file size… See the full description on the dataset page: https://huggingface.co/datasets/dispatchAI/on-device-latency.