Upload convert4json_ScanQA.ipynb

convert4json_ScanQA.ipynb

@@ -0,0 +1,89 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This file is to convert ScanQA to LLaVA-3D dataset format. Ref: https://github.com/ZCMax/LLaVA-3D/issues/5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# load json and show\n",
+    "import json\n",
+    "import os\n",
+    "\n",
+    "data = json.load(open('ScanQA_v1.0_train.json'))\n",
+    "# print(json.dumps(data, indent=4))\n",
+    "\n",
+    "# {\"answers\": [\"brown cabinet with tv sitting in it\"], \n",
+    "# \"object_ids\": [8], \n",
+    "# \"object_names\": [\"cabinet\"], \n",
+    "# \"question\": \"What is in the right corner of room by curtains?\", \n",
+    "# \"question_id\": \"train-scene0000-0\", \n",
+    "# \"scene_id\": \"scene0000_00\"},\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "\n",
+    "# Read the input JSON file\n",
+    "with open('ScanQA_v1.0_train.json', 'r') as f:\n",
+    "    data = json.load(f)\n",
+    "\n",
+    "output = []\n",
+    "\n",
+    "for entry in data:\n",
+    "    conversation = {\n",
+    "        \"id\": entry['object_ids'][0],\n",
+    "        \"video\": f\"scannet/{entry['scene_id']}\",\n",
+    "        \"conversations\": [\n",
+    "            {\n",
+    "                \"from\": \"human\",\n",
+    "                \"value\": f\"<video>\\n{entry['question']}\"\n",
+    "            },\n",
+    "            {\n",
+    "                \"from\": \"gpt\",\n",
+    "                \"value\": entry['answers'][0].capitalize() + '.'\n",
+    "            }\n",
+    "        ]\n",
+    "    }\n",
+    "    output.append(conversation)\n",
+    "\n",
+    "# Write the output to a JSON file\n",
+    "with open('LLaVA_canQA_v1.0_train.json', 'w') as f:\n",
+    "    json.dump(output, f, indent=4)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.9.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}