examples/Dataset Quickstart.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2863acd6-4be1-4d49-9412-673c3a15b370",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4c9983cb681f4d1cb753bbbb94166b3c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Generating train split: 0 examples [00:00, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from loopquest.datasets import load_datasets\n",
    "ds = load_datasets([\"lnn0g3sv\", \"7aenvgky\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a45ef93e-869d-4c37-90b5-472c1771c28f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'experiment_id': 'lnn0g3sv', 'environment_id': 'LunarLander-v2', 'episode': 0, 'step': 0, 'observation': [-0.005917453672736883, 1.4138437509536743, -0.5993836522102356, 0.12992262840270996, 0.006863578222692013, 0.13576944172382355, 0.0, 0.0], 'action': None, 'reward': 0.0, 'sub_goal': None, 'image_urls': [], 'termnated': False, 'truncated': False, 'done': False, 'info': {}, 'id': 'lnn0g3sv-LunarLander-v2-0-0', 'creation_time': datetime.datetime(2024, 4, 15, 8, 10, 3, 285000), 'update_time': datetime.datetime(2024, 4, 15, 8, 10, 3, 285000), 'images': []}\n",
      "{'experiment_id': 'lnn0g3sv', 'environment_id': 'LunarLander-v2', 'episode': 0, 'step': 1, 'observation': [-0.011775875464081764, 1.416200041770935, -0.5911121964454651, 0.1046953946352005, 0.012075022794306278, 0.10423877090215683, 0.0, 0.0], 'action': 3, 'reward': 0.5086495561761535, 'sub_goal': None, 'image_urls': ['http://localhost:5667/api/step/lnn0g3sv-LunarLander-v2-0-1/image/0'], 'termnated': False, 'truncated': False, 'done': False, 'info': {}, 'id': 'lnn0g3sv-LunarLander-v2-0-1', 'creation_time': datetime.datetime(2024, 4, 15, 8, 10, 3, 297000), 'update_time': datetime.datetime(2024, 4, 15, 8, 10, 3, 324000), 'images': [<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=600x400 at 0x796B008A3F10>]}\n",
      "{'experiment_id': 'lnn0g3sv', 'environment_id': 'LunarLander-v2', 'episode': 0, 'step': 2, 'observation': [-0.01763448677957058, 1.4179574251174927, -0.5911287069320679, 0.07804687321186066, 0.017283370718359947, 0.10417666286230087, 0.0, 0.0], 'action': 0, 'reward': -0.2972920248812443, 'sub_goal': None, 'image_urls': ['http://localhost:5667/api/step/lnn0g3sv-LunarLander-v2-0-2/image/0'], 'termnated': False, 'truncated': False, 'done': False, 'info': {}, 'id': 'lnn0g3sv-LunarLander-v2-0-2', 'creation_time': datetime.datetime(2024, 4, 15, 8, 10, 3, 315000), 'update_time': datetime.datetime(2024, 4, 15, 8, 10, 3, 354000), 'images': [<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=600x400 at 0x796B00891590>]}\n",
      "{'experiment_id': 'lnn0g3sv', 'environment_id': 'LunarLander-v2', 'episode': 0, 'step': 3, 'observation': [-0.023493289947509766, 1.4191148281097412, -0.5911442637443542, 0.05137372761964798, 0.022490791976451874, 0.1041579395532608, 0.0, 0.0], 'action': 0, 'reward': -0.35633582658098817, 'sub_goal': None, 'image_urls': ['http://localhost:5667/api/step/lnn0g3sv-LunarLander-v2-0-3/image/0'], 'termnated': False, 'truncated': False, 'done': False, 'info': {}, 'id': 'lnn0g3sv-LunarLander-v2-0-3', 'creation_time': datetime.datetime(2024, 4, 15, 8, 10, 3, 340000), 'update_time': datetime.datetime(2024, 4, 15, 8, 10, 3, 371000), 'images': [<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=600x400 at 0x796B17172110>]}\n",
      "{'experiment_id': 'lnn0g3sv', 'environment_id': 'LunarLander-v2', 'episode': 0, 'step': 4, 'observation': [-0.029352283105254173, 1.4196726083755493, -0.5911597013473511, 0.02470345050096512, 0.027697401121258736, 0.10414160788059235, 0.0, 0.0], 'action': 0, 'reward': -0.4176516725252384, 'sub_goal': None, 'image_urls': ['http://localhost:5667/api/step/lnn0g3sv-LunarLander-v2-0-4/image/0'], 'termnated': False, 'truncated': False, 'done': False, 'info': {}, 'id': 'lnn0g3sv-LunarLander-v2-0-4', 'creation_time': datetime.datetime(2024, 4, 15, 8, 10, 3, 358000), 'update_time': datetime.datetime(2024, 4, 15, 8, 10, 3, 400000), 'images': [<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=600x400 at 0x796B008A28D0>]}\n",
      "{'experiment_id': 'lnn0g3sv', 'environment_id': 'LunarLander-v2', 'episode': 0, 'step': 5, 'observation': [-0.03527383878827095, 1.4196395874023438, -0.5990033149719238, -0.0016163638792932034, 0.03446871042251587, 0.13543856143951416, 0.0, 0.0], 'action': 1, 'reward': -1.450290758223274, 'sub_goal': None, 'image_urls': ['http://localhost:5667/api/step/lnn0g3sv-LunarLander-v2-0-5/image/0'], 'termnated': False, 'truncated': False, 'done': False, 'info': {}, 'id': 'lnn0g3sv-LunarLander-v2-0-5', 'creation_time': datetime.datetime(2024, 4, 15, 8, 10, 3, 387000), 'update_time': datetime.datetime(2024, 4, 15, 8, 10, 3, 425000), 'images': [<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=600x400 at 0x796B0087DE90>]}\n",
      "{'experiment_id': 'lnn0g3sv', 'environment_id': 'LunarLander-v2', 'episode': 0, 'step': 6, 'observation': [-0.04128551483154297, 1.420069694519043, -0.6076881289482117, 0.018950577825307846, 0.04092593863606453, 0.12915672361850739, 0.0, 0.0], 'action': 2, 'reward': -1.9027300455241971, 'sub_goal': None, 'image_urls': ['http://localhost:5667/api/step/lnn0g3sv-LunarLander-v2-0-6/image/0'], 'termnated': False, 'truncated': False, 'done': False, 'info': {}, 'id': 'lnn0g3sv-LunarLander-v2-0-6', 'creation_time': datetime.datetime(2024, 4, 15, 8, 10, 3, 404000), 'update_time': datetime.datetime(2024, 4, 15, 8, 10, 3, 449000), 'images': [<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=600x400 at 0x796B171717D0>]}\n"
     ]
    }
   ],
   "source": [
    "for i, record in enumerate(ds):\n",
    "    print(record)\n",
    "    if i > 5:\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fb1d9868-3c86-4683-83f6-1bc7c0f21d07",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=600x400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(record[\"images\"][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8b01091d-b150-43f7-ba12-bb94e2303015",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}