datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bybit-linear-perps-xlmusdtbybit-linear-perps-suiusdtdeception-activationsbybit-linear-perps-injusdtbybit-linear-perps-xrpusdtbybit-linear-perps-solusdtbybit-linear-perps-linkusdtbybit-linear-perps-dogeusdtbybit-linear-perps-wifusdtbybit-linear-perps-trxusdtbybit-linear-perps-crvusdtbybit-linear-perps-1000pepeusdtbybit-linear-perps-taousdtbybit-linear-perps-adausdtbybit-linear-perps-aptusdtbybit-linear-perps-jupusdtbybit-linear-perps-uniusdtbybit-linear-perps-btcusdtbybit-linear-perps-bchusdtbybit-linear-perps-ethusdtLinear-Next-Datasets
Linear Next Benchmark
Linear Next is a comprehensive benchmark designed to fairly compare various efficient transformer architectures. This project evaluates different approaches including linear attention, sparse attention, and other model structures under identical training conditions and datasets.
Overview
The benchmark aims to provide an unbiased comparison of efficient transformer variants by ensuring all models are trained with the same datasets, hyperparameters… See the full description on the dataset page: https://huggingface.co/datasets/Linear-Next/Linear-Next-Datasets.bybit-linear-perps-avaxusdtbybit-linear-perps-ltcusdtbybit-linear-perps-dotusdtbybit-linear-perps-ondousdtbybit-linear-perps-enausdtbybit-linear-perps-arbusdtbybit-linear-perps-atomusdtbybit-linear-perps-aaveusdtbybit-linear-perps-nearusdt