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diff --git a/install_aws_cli.sh b/install_aws_cli.sh
new file mode 100644
index 0000000000000000000000000000000000000000..9faf0137f391f37b9a37cbb03971b0dd5d1881e6
--- /dev/null
+++ b/install_aws_cli.sh
@@ -0,0 +1,28 @@
+#!/bin/bash
+
+# 创建必要的目录
+mkdir -p ~/bin
+mkdir -p ~/aws-cli
+
+# 下载 AWS CLI
+curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
+
+# 解压文件
+python -m zipfile -e awscliv2.zip .
+
+# 安装 AWS CLI
+./aws/install --bin-dir ~/bin --install-dir ~/aws-cli
+
+# 配置环境变量
+if ! grep -q "export PATH=~/bin:\$PATH" ~/.bashrc; then
+    echo 'export PATH=~/bin:$PATH' >> ~/.bashrc
+fi
+
+if [ -f ~/.zshrc ]; then
+    if ! grep -q "export PATH=~/bin:\$PATH" ~/.zshrc; then
+        echo 'export PATH=~/bin:$PATH' >> ~/.zshrc
+    fi
+fi
+
+# 清理临时文件
+rm -rf awscliv2.zip aws 
diff --git a/lsdbench_dataset.py b/lsdbench_dataset.py
new file mode 100644
index 0000000000000000000000000000000000000000..4f8d13bb9606c2568e4604ad0315d4a802f5c526
--- /dev/null
+++ b/lsdbench_dataset.py
@@ -0,0 +1,8 @@
+from datasets import load_dataset
+
+dataset = load_dataset("lsdbench")
+
+print(dataset)
+for i in dataset['train']:
+    print(i)
+    break
\ No newline at end of file
diff --git a/preprocess_videos.py b/preprocess_videos.py
new file mode 100644
index 0000000000000000000000000000000000000000..bfe9c1482f50b5a67d1becdb5ec2cec3e12a00b0
--- /dev/null
+++ b/preprocess_videos.py
@@ -0,0 +1,137 @@
+import os
+import sys
+import subprocess
+import cv2
+import numpy as np
+from decord import VideoReader, cpu
+from tqdm import tqdm
+from PIL import Image
+import argparse
+import re
+
+def get_new_height_width(height, width, longest_side_size=512):
+    if height > width:
+        new_height = longest_side_size
+        new_width = int(new_height * width / height)  # floor value
+    else:
+        new_width = longest_side_size
+        new_height = int(new_width * height / width)  # floor value
+    return new_height, new_width
+
+def downsample_video(input_video_path, output_video_path):
+    print(f"Downsampling video: {input_video_path} to {output_video_path}")
+    if os.path.exists(output_video_path):
+        print('Downsampled video exists. Exiting now...')
+        return
+        
+    try:
+        print("Attempting to use FFmpeg for fast downsampling...")
+        probe_cmd = ["ffprobe", "-v", "error", "-select_streams", "v:0", "-show_entries", 
+                      "stream=width,height,r_frame_rate,duration", "-of", "csv=p=0", input_video_path]
+        
+        try:
+            probe_output = subprocess.check_output(probe_cmd, universal_newlines=True).strip().split(',')
+            width, height, fps_fraction, duration = probe_output
+            original_fps = eval(fps_fraction)
+            width, height = int(width), int(height)
+            new_height, new_width = get_new_height_width(height, width, longest_side_size=512)
+            total_duration = float(duration)
+        except:
+            video_reader = VideoReader(input_video_path, ctx=cpu(0), num_threads=0)
+            original_fps = video_reader.get_avg_fps()
+            first_frame = video_reader[0].asnumpy()
+            height, width, _ = first_frame.shape
+            new_height, new_width = get_new_height_width(height, width, longest_side_size=512)
+            total_duration = len(video_reader) / original_fps
+            del video_reader
+        
+        temp_output_path = output_video_path.split('.')[0] + '.temp.mp4'
+        if os.path.exists(temp_output_path):
+            os.remove(temp_output_path)
+            
+        ffmpeg_cmd = [
+            "ffmpeg", "-y",
+            "-i", input_video_path,
+            "-vf", f"fps={original_fps},scale={new_width}:{new_height}",
+            "-c:v", "libx264",
+            "-preset", "medium",
+            "-crf", "23",
+            "-g", "60",
+            "-bf", "2",
+            "-an",
+            "-pix_fmt", "yuv420p",
+            temp_output_path
+        ]
+        
+        # 使用tqdm显示ffmpeg的进度
+        with tqdm(total=total_duration, desc=f"Processing {os.path.basename(input_video_path)}", leave=False) as pbar:
+            process = subprocess.Popen(ffmpeg_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True)
+            for line in process.stderr:
+                # 匹配ffmpeg输出中的时间信息
+                match = re.search(r'time=(\d+:\d+:\d+\.\d+)', line)
+                if match:
+                    time_str = match.group(1)
+                    h, m, s = map(float, time_str.split(':'))
+                    current_time = h * 3600 + m * 60 + s
+                    pbar.update(current_time - pbar.n)
+            process.wait()
+        
+        if process.returncode == 0:
+            os.replace(temp_output_path, output_video_path)
+            print(f"Successfully downsampled video using FFmpeg")
+            return
+            
+    except (subprocess.SubprocessError, FileNotFoundError) as e:
+        print(f"FFmpeg method failed: {str(e)}. Falling back to Python implementation.")
+        if os.path.exists(temp_output_path):
+            os.remove(temp_output_path)
+        raise
+    
+
+def process_video(filename, source_dir, target_dir):
+    if '_' not in filename and filename.endswith(('.mp4', '.avi', '.mov', '.mkv')):
+        input_video_path = os.path.join(source_dir, filename)
+        output_video_path = os.path.join(target_dir, filename)
+        print(f"Processing {filename}...")
+         
+        downsample_video(input_video_path, output_video_path)
+
+def main():
+    parser = argparse.ArgumentParser(description="Downsample videos from a source directory to a target directory.")
+    parser.add_argument('source_dir', type=str, help='The directory containing the source videos.')
+    parser.add_argument('target_dir', type=str, help='The directory to save the downsampled videos.')
+    parser.add_argument('video_ids_file', type=str, help='The file containing video IDs to process.')
+    
+    args = parser.parse_args()
+    
+    source_dir = args.source_dir
+    target_dir = args.target_dir
+    video_ids_file = args.video_ids_file
+    
+    if not os.path.exists(target_dir):
+        os.makedirs(target_dir)
+    
+    with open(video_ids_file, 'r') as f:
+        video_ids = {line.strip() for line in f if line.strip()}
+    
+    filenames = [f for f in os.listdir(source_dir) if f.split('.')[0] in video_ids and f.endswith(('.mp4', '.avi', '.mov', '.mkv'))]
+    
+    print(f"Found {len(filenames)} videos to process.")
+    
+    if not filenames:
+        print("No videos found to process. Exiting.")
+        return
+    
+    print(f"Processing {len(filenames)} videos sequentially...")
+    with tqdm(total=len(filenames), desc="Overall Progress") as pbar:
+        for filename in filenames:
+            try:
+                process_video(filename, source_dir, target_dir)
+            except Exception as e:
+                print(f"An error occurred during processing {filename}: {e}")
+            pbar.update(1)
+    
+    print("Processing completed successfully.")
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file
diff --git a/video_ids.txt b/video_ids.txt
new file mode 100644
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