seungheondoh
commited on
Commit
·
c4683a3
1
Parent(s):
790468b
update
Browse files- script/clone_repo.sh +9 -0
- script/fetch_data.py +45 -0
- script/fetch_data.sh +0 -77
- script/virtualenv.sh +0 -19
script/clone_repo.sh
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HF_TOKEN="your_token_here"
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TARGET_REPO=""
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REPO_NAME=""
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huggingface-cli login --token $HF_TOKEN
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git lfs install
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git clone $TARGET_REPO
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cd $REPO_NAME
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source .venv/bin/activate
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uv pip install -e .
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script/fetch_data.py
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import wget
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import os
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import multiprocessing
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from functools import partial
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import time
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save_dir = "./dataset"
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urls = [
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"https://huggingface.co/datasets/seungheondoh/cmd-moisesdb-metadata/resolve/main/moisesdb.tar.gz",
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"https://huggingface.co/datasets/seungheondoh/cmd-musicnet-metadata/resolve/main/musicnet.tar.gz",
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"https://huggingface.co/datasets/seungheondoh/cmd-medleydb-metadata/resolve/main/medleydb.tar.gz",
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"https://huggingface.co/datasets/seungheondoh/cmd-fma-metadata/resolve/main/fma.tar.gz",
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"https://huggingface.co/datasets/seungheondoh/cmd-mtg_jamendo-metadata/resolve/main/mtg_jamendo/0.tar.gz",
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"https://huggingface.co/datasets/seungheondoh/cmd-mtg_jamendo-metadata/resolve/main/mtg_jamendo/1.tar.gz",
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"https://huggingface.co/datasets/seungheondoh/cmd-mtg_jamendo-metadata/resolve/main/mtg_jamendo/2.tar.gz",
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"https://huggingface.co/datasets/seungheondoh/cmd-mtg_jamendo-metadata/resolve/main/mtg_jamendo/3.tar.gz",
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"https://huggingface.co/datasets/seungheondoh/cmd-mtg_jamendo-metadata/resolve/main/mtg_jamendo/4.tar.gz",
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"https://huggingface.co/datasets/seungheondoh/cmd-mtg_jamendo-metadata/resolve/main/mtg_jamendo/5.tar.gz",
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"https://huggingface.co/datasets/seungheondoh/cmd-mtg_jamendo-metadata/resolve/main/mtg_jamendo/6.tar.gz",
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"https://huggingface.co/datasets/seungheondoh/cmd-mtg_jamendo-metadata/resolve/main/mtg_jamendo/7.tar.gz",
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"https://huggingface.co/datasets/seungheondoh/cmd-mtg_jamendo-metadata/resolve/main/mtg_jamendo/8.tar.gz",
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"https://huggingface.co/datasets/seungheondoh/cmd-mtg_jamendo-metadata/resolve/main/mtg_jamendo/9.tar.gz",
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]
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def download_file(url):
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wget.download(url)
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def unzip_file(file_path):
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with tarfile.open(file_path, 'r:gz') as tar:
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tar.extractall(path=save_dir)
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if __name__ == "__main__":
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os.makedirs(save_dir, exist_ok=True)
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# Start timing
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start_time = time.time()
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num_processes = min(multiprocessing.cpu_count(), len(urls))
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with multiprocessing.Pool(processes=num_processes) as pool:
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pool.map(download_file, urls)
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with multiprocessing.Pool(processes=num_processes) as pool:
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pool.map(unzip_file, [f for f in os.listdir(save_dir) if f.endswith('.tar.gz')])
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# Calculate and display total time
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end_time = time.time()
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elapsed = end_time - start_time
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print(f"\nTotal download time: {int(elapsed // 60)} minutes and {int(elapsed % 60)} seconds")
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script/fetch_data.sh
DELETED
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HF_TOKEN="your_token"
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DATADIR="/workspace/seungheon/dataset"
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mkdir -p $DATADIR
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huggingface-cli login --token $HF_TOKEN
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git lfs install
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# Start timing
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start_time=$(date +%s)
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echo "Cloning FMA dataset..."
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git clone https://huggingface.co/datasets/seungheondoh/cmd-fma-metadata $DATADIR/fma
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echo "Cloning MusicNet dataset..."
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git clone https://huggingface.co/datasets/seungheondoh/cmd-musicnet-metadata $DATADIR/musicnet
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echo "Cloning MedleyDB dataset..."
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git clone https://huggingface.co/datasets/seungheondoh/cmd-medleydb-metadata $DATADIR/medleydb
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echo "Cloning MoisesDB dataset..."
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git clone https://huggingface.co/datasets/seungheondoh/cmd-moisesdb-metadata $DATADIR/moisesdb
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echo "Cloning MTG-Jamendo dataset..."
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git clone https://huggingface.co/datasets/seungheondoh/cmd-mtg_jamendo-metadata $DATADIR/mtg_jamendo
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# Calculate and display total time
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end_time=$(date +%s)
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elapsed=$((end_time - start_time))
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echo "Total download time: $((elapsed / 60)) minutes and $((elapsed % 60)) seconds"
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# Extract FMA dataset
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cd $DATADIR/fma
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echo "Extracting FMA dataset..."
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start_time=$(date +%s)
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tar -xzf fma.tar.gz -C audio/
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end_time=$(date +%s)
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elapsed=$((end_time - start_time))
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echo "FMA dataset extraction complete in $((elapsed / 60)) minutes and $((elapsed % 60)) seconds"
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# Extract MusicNet dataset
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cd $DATADIR/musicnet
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echo "Extracting MusicNet dataset..."
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start_time=$(date +%s)
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tar -xzf musicnet.tar.gz -C audio/
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end_time=$(date +%s)
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elapsed=$((end_time - start_time))
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echo "MusicNet dataset extraction complete in $((elapsed / 60)) minutes and $((elapsed % 60)) seconds"
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# Extract MedleyDB dataset
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cd $DATADIR/medleydb
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echo "Extracting MedleyDB dataset..."
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start_time=$(date +%s)
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tar -xzf medleydb.tar.gz -C audio/
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end_time=$(date +%s)
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elapsed=$((end_time - start_time))
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echo "MedleyDB dataset extraction complete in $((elapsed / 60)) minutes and $((elapsed % 60)) seconds"
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# Extract MoisesDB dataset
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cd $DATADIR/moisesdb
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echo "Extracting MoisesDB dataset..."
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start_time=$(date +%s)
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tar -xzf moisesdb.tar.gz -C audio/
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end_time=$(date +%s)
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elapsed=$((end_time - start_time))
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echo "MoisesDB dataset extraction complete in $((elapsed / 60)) minutes and $((elapsed % 60)) seconds"
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# Extract MTG-Jamendo dataset
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cd $DATADIR/mtg_jamendo
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echo "Extracting MTG-Jamendo dataset..."
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start_time=$(date +%s)
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for file in *.tar.gz; do
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echo "Extracting $file..."
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tar -xzf "$file" -C audio/
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echo "$file extraction complete"
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done
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end_time=$(date +%s)
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elapsed=$((end_time - start_time))
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echo "MTG-Jamendo dataset extraction complete in $((elapsed / 60)) minutes and $((elapsed % 60)) seconds"
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script/virtualenv.sh
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#!/bin/bash
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# Cloud server setup script for ML environment
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# Installs: Python venv, uv, PyTorch 2.6.0, flash-attn, and Hugging Face CLI
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set -e # Exit immediately if a command exits with a non-zero status
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# Update system packages
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echo "Updating system packages..."
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sudo apt update && sudo apt upgrade -y
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echo "Installing PyTorch with CUDA support (${PYTORCH_CUDA})..."
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uv pip install torch==2.6.0 --index-url https://download.pytorch.org/whl/${PYTORCH_CUDA}
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# Install flash-attention
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echo "Installing flash-attention..."
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if [ "$CUDA_AVAILABLE" -eq 1 ]; then
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# Install required dependencies for flash-attention
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uv pip install packaging ninja
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uv pip install flash-attn --no-build-isolation
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else
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echo "Warning: flash-attention requires CUDA. Skipping installation."
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fi
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# Install Hugging Face CLI and tools
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echo "Installing Hugging Face CLI and tools..."
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uv pip install huggingface_hub
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# Verify installation
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echo "Verifying installation..."
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python -c "import torch; print('PyTorch version:', torch.__version__); print('CUDA available:', torch.cuda.is_available())"
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# Try importing flash-attention if CUDA is available
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if [ "$CUDA_AVAILABLE" -eq 1 ]; then
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python -c "import importlib.util; print('flash-attn available:', importlib.util.find_spec('flash_attn') is not None)"
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fi
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# Check for Hugging Face CLI
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python -c "import huggingface_hub; print('Hugging Face Hub version:', huggingface_hub.__version__)"
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echo "============================================================"
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#!/bin/bash
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set -e # Exit immediately if a command exits with a non-zero status
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# Update system packages
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echo "Updating system packages..."
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sudo apt update && sudo apt upgrade -y
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echo "Installing PyTorch with CUDA support (${PYTORCH_CUDA})..."
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uv pip install torch==2.6.0 --index-url https://download.pytorch.org/whl/${PYTORCH_CUDA}
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# Install Hugging Face CLI and tools
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echo "Installing Hugging Face CLI and tools..."
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uv pip install huggingface_hub
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# Verify installation
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echo "Verifying installation..."
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python -c "import torch; print('PyTorch version:', torch.__version__); print('CUDA available:', torch.cuda.is_available())"
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# Check for Hugging Face CLI
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python -c "import huggingface_hub; print('Hugging Face Hub version:', huggingface_hub.__version__)"
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echo "============================================================"
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