metadata
license: mit
task_categories:
- benchmarking
language:
- en
tags:
- llm
- scheduling
- control-plane
- benchmark
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: workload_id
dtype: string
- name: request_count
dtype: int64
- name: rate_per_second
dtype: float64
- name: arrival_pattern
dtype: string
- name: model_distribution
struct:
- name: Qwen/Qwen2.5-14B-Instruct
dtype: float64
- name: Qwen/Qwen2.5-7B-Instruct
dtype: float64
- name: meta-llama/Llama-3.1-8B-Instruct
dtype: float64
- name: mistralai/Mistral-7B-Instruct-v0.3
dtype: float64
- name: priority_distribution
struct:
- name: HIGH
dtype: float64
- name: LOW
dtype: float64
- name: NORMAL
dtype: float64
- name: prompt_len_range
list: int64
- name: output_len_range
list: int64
- name: slo_deadlines
struct:
- name: HIGH
dtype: int64
- name: LOW
dtype: int64
- name: NORMAL
dtype: int64
splits:
- name: train
num_bytes: 1021
num_examples: 7
download_size: 8744
dataset_size: 1021
SAGE Control Plane Workloads
Workload configurations for benchmarking Control Plane scheduling policies.
Usage
from datasets import load_dataset
workloads = load_dataset("intellistream/sage-control-plane-workloads")