thuerey-group/apebench-scraped-old
收藏Hugging Face2024-10-31 更新2025-04-12 收录
下载链接：
https://hf-mirror.com/datasets/thuerey-group/apebench-scraped-old
下载链接
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资源简介：
# APEBench-scraped (old)
All datasets scraped from the APEBench benchmark suite with the [version used
for the Neurips
submission](https://github.com/tum-pbs/apebench/commit/97fb1249a27ab362c95fd33ea7a7f103fd028e37).
## Download
Download without large files
```bash
GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/thuerey-group/apebench-scraped-old
```
Afterwards, you can inspect the repository and download the files you need. For
example, for `1d_diff_adv`:
```bash
git lfs install
git lfs pull -I "data/1d_diff_adv*"
```
Alternatively, you can download the entire repository with large files:
```bash
git lfs install
git clone git@hf.co:datasets/thuerey-group/apebench-scraped-old
```
## Reproduction
Obtained via:
```bash
conda create -n apebench python=3.12 -y
conda activate apebench
```
```bash
pip install -U "jax[cuda12]"
pip install git+ssh://git@github.com/Ceyron/apebench@97fb1249a27ab362c95fd33ea7a7f103fd028e37
```
And then executed the following script:
```python
import apebench
from tqdm import tqdm
import os
DATA_PATH = "data"
os.makedirs(DATA_PATH, exist_ok=True)
for config in tqdm(apebench.scraper.CURATION_APEBENCH_V1):
apebench.scraper.scrape_data_and_metadata(DATA_PATH, **config)
```
提供机构：
thuerey-group
