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Delete partial_datasets/save_zoomin.ipynb with huggingface_hub

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  1. partial_datasets/save_zoomin.ipynb +0 -331
partial_datasets/save_zoomin.ipynb DELETED
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- "execution_count": 1,
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- "id": "b85225bd",
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- "metadata": {},
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- "outputs": [
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- {
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- "name": "stdout",
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- "output_type": "stream",
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- "text": [
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- "Processing hard directory...\n",
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- "Found 70 JSON files in /home/jiaxin/VLM-Gym/current/inference/inference_dataset/initial_states_hard/zoom_in_puzzle__hard\n",
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- "Processed: seed1696552_episode3004356851/initial_state.json\n",
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- "\n",
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- "Processing easy directory...\n",
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- "Found 70 JSON files in /home/jiaxin/VLM-Gym/current/inference/inference_dataset/initial_states_easy/zoom_in_puzzle__easy\n",
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- "\n",
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- "Done! All files have been processed and saved to: /home/jiaxin/VLM-Gym/current/inference/inference_dataset/partial_datasets/zoomin\n"
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- ]
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- }
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- ],
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- "source": [
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- "import json\n",
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- "import os\n",
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- "from pathlib import Path\n",
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- "\n",
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- "# Define source directories\n",
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- "hard_dir = Path(\"/home/jiaxin/VLM-Gym/current/inference/inference_dataset/initial_states_hard/zoom_in_puzzle__hard\")\n",
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- "easy_dir = Path(\"/home/jiaxin/VLM-Gym/current/inference/inference_dataset/initial_states_easy/zoom_in_puzzle__easy\")\n",
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- "\n",
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- "# Define target directory\n",
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- "target_dir = Path(\"/home/jiaxin/VLM-Gym/current/inference/inference_dataset/partial_datasets/zoomin\")\n",
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- "\n",
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- "# Base path to prepend to image names\n",
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- "base_image_path = \"/home/jiaxin/datasets/images/mscoco/images/train2014\"\n",
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- "\n",
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- "# Create target directory if it doesn't exist\n",
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- "target_dir.mkdir(parents=True, exist_ok=True)\n",
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- "\n",
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- "def process_json_files(source_dir, target_base_dir):\n",
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- " \"\"\"Process all JSON files in source_dir and save to target_base_dir\"\"\"\n",
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- " json_files = list(source_dir.rglob(\"initial_state.json\"))\n",
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- " print(f\"Found {len(json_files)} JSON files in {source_dir}\")\n",
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- " \n",
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- " for json_file in json_files:\n",
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- " # Read the JSON file\n",
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- " with open(json_file, 'r') as f:\n",
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- " data = json.load(f)\n",
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- " \n",
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- " # Update the image_name field\n",
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- " if 'image_name' in data:\n",
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- " original_image_name = data['image_name']\n",
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- " # Prepend the base path\n",
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- " data['image_name'] = os.path.join(base_image_path, original_image_name)\n",
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- " \n",
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- " # Determine relative path from source_dir\n",
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- " relative_path = json_file.relative_to(source_dir)\n",
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- " \n",
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- " # Create target path\n",
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- " target_file = target_base_dir / relative_path\n",
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- " \n",
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- " # Create parent directories if needed\n",
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- " target_file.parent.mkdir(parents=True, exist_ok=True)\n",
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- " \n",
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- " # Write the updated JSON file\n",
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- " with open(target_file, 'w') as f:\n",
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- " json.dump(data, f, indent=2)\n",
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- " \n",
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- " print(f\"Processed: {relative_path}\")\n",
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- "\n",
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- "# Process hard directory\n",
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- "print(\"Processing hard directory...\")\n",
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- "process_json_files(hard_dir, target_dir)\n",
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- "\n",
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- "# Process easy directory\n",
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- "print(\"\\nProcessing easy directory...\")\n",
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- "process_json_files(easy_dir, target_dir)\n",
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- "\n",
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- "print(\"\\nDone! All files have been processed and saved to:\", target_dir)\n"
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- ]
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- },
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- {
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- "cell_type": "code",
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- "execution_count": 2,
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- "id": "1bb068dd",
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- "metadata": {},
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- "outputs": [
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- {
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- "name": "stdout",
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- "output_type": "stream",
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- "text": [
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- "Found 140 JSON files\n",
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- "Copied 10 images...\n",
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- "Copied 20 images...\n",
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- "Copied 30 images...\n",
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- "Copied 40 images...\n",
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- "Copied 50 images...\n",
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- "Copied 60 images...\n",
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- "Copied 70 images...\n",
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- "Copied 80 images...\n",
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- "Copied 90 images...\n",
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- "Copied 100 images...\n",
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- "Copied 110 images...\n",
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- "Copied 120 images...\n",
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- "Copied 130 images...\n",
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- "Copied 140 images...\n",
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- "\n",
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- "Done! Copied 140 unique images to /home/jiaxin/VLM-Gym/current/inference/inference_dataset/partial_datasets/zoomin\n"
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- ]
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- }
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- ],
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- "source": [
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- "import json\n",
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- "import shutil\n",
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- "from pathlib import Path\n",
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- "\n",
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- "# Define target directory where JSON files are located\n",
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- "target_dir = Path(\"/home/jiaxin/VLM-Gym/current/inference/inference_dataset/partial_datasets/zoomin\")\n",
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- "\n",
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- "# Find all JSON files\n",
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- "json_files = list(target_dir.rglob(\"initial_state.json\"))\n",
263
- "print(f\"Found {len(json_files)} JSON files\")\n",
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- "\n",
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- "# Track copied images to avoid duplicates\n",
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- "copied_images = set()\n",
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- "copied_count = 0\n",
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- "missing_count = 0\n",
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- "\n",
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- "for json_file in json_files:\n",
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- " # Read the JSON file\n",
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- " with open(json_file, 'r') as f:\n",
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- " data = json.load(f)\n",
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- " \n",
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- " # Get the image path\n",
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- " if 'image_name' in data:\n",
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- " image_path = Path(data['image_name'])\n",
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- " \n",
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- " # Check if image exists\n",
280
- " if not image_path.exists():\n",
281
- " print(f\"Warning: Image not found: {image_path}\")\n",
282
- " missing_count += 1\n",
283
- " continue\n",
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- " \n",
285
- " # Get the image filename\n",
286
- " image_filename = image_path.name\n",
287
- " \n",
288
- " # Skip if we've already copied this image\n",
289
- " if image_filename in copied_images:\n",
290
- " continue\n",
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- " \n",
292
- " # Copy the image to target directory\n",
293
- " target_image_path = target_dir / image_filename\n",
294
- " try:\n",
295
- " shutil.copy2(image_path, target_image_path)\n",
296
- " copied_images.add(image_filename)\n",
297
- " copied_count += 1\n",
298
- " if copied_count % 10 == 0:\n",
299
- " print(f\"Copied {copied_count} images...\")\n",
300
- " except Exception as e:\n",
301
- " print(f\"Error copying {image_path}: {e}\")\n",
302
- " missing_count += 1\n",
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- "\n",
304
- "print(f\"\\nDone! Copied {copied_count} unique images to {target_dir}\")\n",
305
- "if missing_count > 0:\n",
306
- " print(f\"Warning: {missing_count} images were missing or had errors\")\n"
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- ]
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- }
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- ],
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- "metadata": {
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- "kernelspec": {
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- "display_name": "tweetbench",
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- "language": "python",
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- "name": "python3"
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- },
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- "language_info": {
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- "codemirror_mode": {
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- "name": "ipython",
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- "version": 3
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- },
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- "file_extension": ".py",
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- "mimetype": "text/x-python",
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- "name": "python",
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- "nbconvert_exporter": "python",
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- "pygments_lexer": "ipython3",
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- "version": "3.10.16"
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- }
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- },
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- "nbformat": 4,
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- "nbformat_minor": 5
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- }