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    {
     "name": "stdout",
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     "text": [
      "['18777.jpg', '18779.jpg', '18787.jpg', '19021.jpg']\n"
     ]
    },
    {
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   "source": [
    "from datasets import load_dataset, Image, Sequence\n",
    "\n",
    "ds = load_dataset(\"VLAI-AIVN/ViInfographicVQA\")\n",
    "ex = ds[\"multi_train\"][0]\n",
    "\n",
    "print(ex[\"images_paths\"])  # ['13321.jpg', '13028.jpg', '13458.jpg']  <-- đủ filename\n",
    "# preview:\n",
    "_ = ex[\"image\"]  # PIL image (ảnh đầu)\n",
    "\n",
    "# Đọc toàn bộ ảnh khi cần:\n",
    "repo_base = \"hf://datasets/VLAI-AIVN/ViInfographicVQA/images\"\n",
    "# convert 'images_paths' (filenames) -> full repo paths:\n",
    "def join_repo_path(example):\n",
    "    example[\"images_full\"] = [f\"{repo_base}/{fn}\" for fn in example[\"images_paths\"]]\n",
    "    return example\n",
    "\n",
    "multi = ds[\"multi_train\"].map(join_repo_path)\n",
    "# cast để đọc ảnh:\n",
    "multi = multi.cast_column(\"images_full\", Sequence(Image()))\n",
    "imgs = multi[0][\"images_full\"]  # list PIL Image() (đủ số lượng ảnh)\n"
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    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[17], line 5\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mdatasets\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m load_dataset\n\u001b[1;32m      4\u001b[0m \u001b[38;5;66;03m# Download the entire dataset repo locally (parquet + images)\u001b[39;00m\n\u001b[0;32m----> 5\u001b[0m local_dir \u001b[38;5;241m=\u001b[39m \u001b[43msnapshot_download\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrepo_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mVLAI-AIVN/ViInfographicVQA\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrepo_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mdataset\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      7\u001b[0m \u001b[38;5;66;03m# Load from disk\u001b[39;00m\n\u001b[1;32m      8\u001b[0m ds \u001b[38;5;241m=\u001b[39m load_dataset(local_dir)\n",
      "File \u001b[0;32m/opt/miniconda3/envs/binhdt_env/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py:114\u001b[0m, in \u001b[0;36mvalidate_hf_hub_args.<locals>._inner_fn\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_use_auth_token:\n\u001b[1;32m    112\u001b[0m     kwargs \u001b[38;5;241m=\u001b[39m smoothly_deprecate_use_auth_token(fn_name\u001b[38;5;241m=\u001b[39mfn\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, has_token\u001b[38;5;241m=\u001b[39mhas_token, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n\u001b[0;32m--> 114\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/miniconda3/envs/binhdt_env/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py:332\u001b[0m, in \u001b[0;36msnapshot_download\u001b[0;34m(repo_id, repo_type, revision, cache_dir, local_dir, library_name, library_version, user_agent, proxies, etag_timeout, force_download, token, local_files_only, allow_patterns, ignore_patterns, max_workers, tqdm_class, headers, endpoint, local_dir_use_symlinks, resume_download)\u001b[0m\n\u001b[1;32m    330\u001b[0m         _inner_hf_hub_download(file)\n\u001b[1;32m    331\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 332\u001b[0m     \u001b[43mthread_map\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    333\u001b[0m \u001b[43m        \u001b[49m\u001b[43m_inner_hf_hub_download\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    334\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfiltered_repo_files\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    335\u001b[0m \u001b[43m        \u001b[49m\u001b[43mdesc\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtqdm_desc\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    336\u001b[0m \u001b[43m        \u001b[49m\u001b[43mmax_workers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmax_workers\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    337\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;66;43;03m# User can use its own tqdm class or the default one from `huggingface_hub.utils`\u001b[39;49;00m\n\u001b[1;32m    338\u001b[0m \u001b[43m        \u001b[49m\u001b[43mtqdm_class\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtqdm_class\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mhf_tqdm\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    339\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    341\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m local_dir \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    342\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mstr\u001b[39m(os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mrealpath(local_dir))\n",
      "File \u001b[0;32m/opt/miniconda3/envs/binhdt_env/lib/python3.10/site-packages/tqdm/contrib/concurrent.py:69\u001b[0m, in \u001b[0;36mthread_map\u001b[0;34m(fn, *iterables, **tqdm_kwargs)\u001b[0m\n\u001b[1;32m     55\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     56\u001b[0m \u001b[38;5;124;03mEquivalent of `list(map(fn, *iterables))`\u001b[39;00m\n\u001b[1;32m     57\u001b[0m \u001b[38;5;124;03mdriven by `concurrent.futures.ThreadPoolExecutor`.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     66\u001b[0m \u001b[38;5;124;03m    [default: max(32, cpu_count() + 4)].\u001b[39;00m\n\u001b[1;32m     67\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     68\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mconcurrent\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mfutures\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m ThreadPoolExecutor\n\u001b[0;32m---> 69\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_executor_map\u001b[49m\u001b[43m(\u001b[49m\u001b[43mThreadPoolExecutor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfn\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43miterables\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mtqdm_kwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/miniconda3/envs/binhdt_env/lib/python3.10/site-packages/tqdm/contrib/concurrent.py:51\u001b[0m, in \u001b[0;36m_executor_map\u001b[0;34m(PoolExecutor, fn, *iterables, **tqdm_kwargs)\u001b[0m\n\u001b[1;32m     47\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m ensure_lock(tqdm_class, lock_name\u001b[38;5;241m=\u001b[39mlock_name) \u001b[38;5;28;01mas\u001b[39;00m lk:\n\u001b[1;32m     48\u001b[0m     \u001b[38;5;66;03m# share lock in case workers are already using `tqdm`\u001b[39;00m\n\u001b[1;32m     49\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m PoolExecutor(max_workers\u001b[38;5;241m=\u001b[39mmax_workers, initializer\u001b[38;5;241m=\u001b[39mtqdm_class\u001b[38;5;241m.\u001b[39mset_lock,\n\u001b[1;32m     50\u001b[0m                       initargs\u001b[38;5;241m=\u001b[39m(lk,)) \u001b[38;5;28;01mas\u001b[39;00m ex:\n\u001b[0;32m---> 51\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mtqdm_class\u001b[49m\u001b[43m(\u001b[49m\u001b[43mex\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmap\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfn\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43miterables\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mchunksize\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunksize\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/miniconda3/envs/binhdt_env/lib/python3.10/site-packages/tqdm/notebook.py:250\u001b[0m, in \u001b[0;36mtqdm_notebook.__iter__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    248\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    249\u001b[0m     it \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__iter__\u001b[39m()\n\u001b[0;32m--> 250\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m obj \u001b[38;5;129;01min\u001b[39;00m it:\n\u001b[1;32m    251\u001b[0m         \u001b[38;5;66;03m# return super(tqdm...) will not catch exception\u001b[39;00m\n\u001b[1;32m    252\u001b[0m         \u001b[38;5;28;01myield\u001b[39;00m obj\n\u001b[1;32m    253\u001b[0m \u001b[38;5;66;03m# NB: except ... [ as ...] breaks IPython async KeyboardInterrupt\u001b[39;00m\n",
      "File \u001b[0;32m/opt/miniconda3/envs/binhdt_env/lib/python3.10/site-packages/tqdm/std.py:1181\u001b[0m, in \u001b[0;36mtqdm.__iter__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1178\u001b[0m time \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_time\n\u001b[1;32m   1180\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1181\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m obj \u001b[38;5;129;01min\u001b[39;00m iterable:\n\u001b[1;32m   1182\u001b[0m         \u001b[38;5;28;01myield\u001b[39;00m obj\n\u001b[1;32m   1183\u001b[0m         \u001b[38;5;66;03m# Update and possibly print the progressbar.\u001b[39;00m\n\u001b[1;32m   1184\u001b[0m         \u001b[38;5;66;03m# Note: does not call self.update(1) for speed optimisation.\u001b[39;00m\n",
      "File \u001b[0;32m/opt/miniconda3/envs/binhdt_env/lib/python3.10/concurrent/futures/_base.py:621\u001b[0m, in \u001b[0;36mExecutor.map.<locals>.result_iterator\u001b[0;34m()\u001b[0m\n\u001b[1;32m    618\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m fs:\n\u001b[1;32m    619\u001b[0m     \u001b[38;5;66;03m# Careful not to keep a reference to the popped future\u001b[39;00m\n\u001b[1;32m    620\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 621\u001b[0m         \u001b[38;5;28;01myield\u001b[39;00m \u001b[43m_result_or_cancel\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpop\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    622\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    623\u001b[0m         \u001b[38;5;28;01myield\u001b[39;00m _result_or_cancel(fs\u001b[38;5;241m.\u001b[39mpop(), end_time \u001b[38;5;241m-\u001b[39m time\u001b[38;5;241m.\u001b[39mmonotonic())\n",
      "File \u001b[0;32m/opt/miniconda3/envs/binhdt_env/lib/python3.10/concurrent/futures/_base.py:319\u001b[0m, in \u001b[0;36m_result_or_cancel\u001b[0;34m(***failed resolving arguments***)\u001b[0m\n\u001b[1;32m    317\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    318\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 319\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfut\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresult\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    320\u001b[0m     \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m    321\u001b[0m         fut\u001b[38;5;241m.\u001b[39mcancel()\n",
      "File \u001b[0;32m/opt/miniconda3/envs/binhdt_env/lib/python3.10/concurrent/futures/_base.py:453\u001b[0m, in \u001b[0;36mFuture.result\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    450\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;241m==\u001b[39m FINISHED:\n\u001b[1;32m    451\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__get_result()\n\u001b[0;32m--> 453\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_condition\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    455\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;129;01min\u001b[39;00m [CANCELLED, CANCELLED_AND_NOTIFIED]:\n\u001b[1;32m    456\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m CancelledError()\n",
      "File \u001b[0;32m/opt/miniconda3/envs/binhdt_env/lib/python3.10/threading.py:320\u001b[0m, in \u001b[0;36mCondition.wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    318\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:    \u001b[38;5;66;03m# restore state no matter what (e.g., KeyboardInterrupt)\u001b[39;00m\n\u001b[1;32m    319\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 320\u001b[0m         \u001b[43mwaiter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43macquire\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    321\u001b[0m         gotit \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m    322\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "from huggingface_hub import snapshot_download\n",
    "from datasets import load_dataset\n",
    "\n",
    "# Download the entire dataset repo locally (parquet + images)\n",
    "local_dir = snapshot_download(repo_id=\"VLAI-AIVN/ViInfographicVQA\", repo_type=\"dataset\")\n",
    "\n",
    "# Load from disk\n",
    "ds = load_dataset(local_dir)\n",
    "\n",
    "# Reconstruct absolute paths to images on disk if needed:\n",
    "import os\n",
    "images_root = os.path.join(local_dir, \"images\")\n",
    "def to_abs(example):\n",
    "    example[\"images_abs\"] = [os.path.join(images_root, fn) for fn in example[\"images_paths\"]]\n",
    "    return example\n",
    "\n",
    "multi_local = ds[\"multi_train\"].map(to_abs)\n",
    "print(multi_local[0][\"images_abs\"][:3])  # ['/.../images/13321.jpg', ...]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "db67933d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=1200x3004>,\n",
       " <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=1200x3191>,\n",
       " <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=1200x3191>,\n",
       " <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=1200x3118>]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imgs"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "binhdt_env",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}