smartFRACs - Dataset of flow simulations in single rough fractures

A brief description of the dataset, its purpose, and what it contains.

Dataset of lattice Boltzmann and finite volume simulations for single phase laminar flow into single rough fractures.

Dataset Summary

• Size: [e.g., 10,000 samples]
• Languages: [e.g., English, Multilingual]
• Data Type: [e.g., Text, Image, Audio, Tabular]
• Use Case: [e.g., NLP, Vision, Speech Recognition]
• Source: [e.g., Collected from ... / Synthesized / Scraped]

How to Use

You can load the dataset using 🤗 datasets:

import os
from huggingface_hub import HfFileSystem
from concurrent.futures import ThreadPoolExecutor

# User configuration:
hf_token = "your_token"

repo_type = "dataset"

# Base local directory to store downloaded data
local_base_dir = "./smartFRACs"

# Initialize Hugging Face Filesystem
fs = HfFileSystem(token=hf_token, repo_type=repo_type)


def download_files(remote_files, local_base):
    os.makedirs(local_base, exist_ok=True)

    def download(remote_file):
        relative_path = remote_file.split(f"datasets/{repo_id}/")[-1]
        local_file_path = os.path.join(local_base, relative_path)
        os.makedirs(os.path.dirname(local_file_path), exist_ok=True)
        fs.get_file(remote_file, local_file_path)
        print(f"Downloaded: {remote_file} to {local_file_path}")

    with ThreadPoolExecutor(max_workers=4) as executor:
        executor.map(download, remote_files)
        
repo_id = "smartFRACs/smartFRACs"
subset="**" # options: basic_LBM...
frac_id="*" # options: frac_001
path=f"datasets/{repo_id}/{subset}/{frac_id}.h5"
print(path)
remote_files = fs.glob(path)
download_files(remote_files, local_base_dir)