metadata
dataset_info:
features:
- name: code
dtype: string
- name: level
dtype: int64
- name: name
dtype: string
- name: problem_id
dtype: int64
splits:
- name: level_1
num_bytes: 133215
num_examples: 100
- name: level_2
num_bytes: 114519
num_examples: 100
- name: level_3
num_bytes: 177082
num_examples: 50
- name: level_4
num_bytes: 15591
num_examples: 20
download_size: 115926
dataset_size: 440407
configs:
- config_name: default
data_files:
- split: level_1
path: data/level_1-*
- split: level_2
path: data/level_2-*
- split: level_3
path: data/level_3-*
- split: level_4
path: data/level_4-*
pretty_name: KernelBench
Dataset Card for Dataset Name
This is the copy from Stanford's KernelBench (https://huggingface.co/datasets/ScalingIntelligence/KernelBench).
Dataset Details
- Level 1: 100 Problems
- Level 2: 100 Problems
- Level 3: 50 Problems
- Level 4: 20 Problems
Plan:
- We want to try and tackle the dataset as well at MBZUAI / Imperial College London.