{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "564cb208df3e42778a1f988e0e077eee",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          | 0.00/938 [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using custom data configuration ejschwartz--oo-method-test-new-8eaca399917e96f5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading and preparing dataset csv/default (download: 21.72 MiB, generated: 85.52 MiB, post-processed: Unknown size, total: 107.25 MiB) to /home/eschwartz/.cache/huggingface/datasets/ejschwartz___parquet/ejschwartz--oo-method-test-new-8eaca399917e96f5/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec...\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bb25d525ffb343779353edc479da48c6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading data files:   0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "208fc0a559044aab99013e47a81515ad",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading data:   0%|          | 0.00/22.8M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "19dbc119d6654a21b262770049848aae",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Extracting data files:   0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7b9ac6103de94be39157b3de21b49a3f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0 tables [00:00, ? tables/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset parquet downloaded and prepared to /home/eschwartz/.cache/huggingface/datasets/ejschwartz___parquet/ejschwartz--oo-method-test-new-8eaca399917e96f5/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec. Subsequent calls will reuse this data.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f2ab6ee941a24055aa309f89d1cace8d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import datasets\n",
    "ds = datasets.load_dataset(\"ejschwartz/oo-method-test-new\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading cached processed dataset at /home/eschwartz/.cache/huggingface/datasets/ejschwartz___parquet/ejschwartz--oo-method-test-new-8eaca399917e96f5/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec/cache-2cacd54c29fd0da4.arrow\n",
      "Loading cached processed dataset at /home/eschwartz/.cache/huggingface/datasets/ejschwartz___parquet/ejschwartz--oo-method-test-new-8eaca399917e96f5/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec/cache-aae4742ba8c97557.arrow\n",
      "Loading cached processed dataset at /home/eschwartz/.cache/huggingface/datasets/ejschwartz___parquet/ejschwartz--oo-method-test-new-8eaca399917e96f5/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec/cache-65c638a5756f05c5.arrow\n",
      "Loading cached processed dataset at /home/eschwartz/.cache/huggingface/datasets/ejschwartz___parquet/ejschwartz--oo-method-test-new-8eaca399917e96f5/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec/cache-e13e1e6cd866ea19.arrow\n",
      "Loading cached processed dataset at /home/eschwartz/.cache/huggingface/datasets/ejschwartz___parquet/ejschwartz--oo-method-test-new-8eaca399917e96f5/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec/cache-8a6bb80fc2a77a30.arrow\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e7a6a640d0214fec87091e84af1abed9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/84 [00:00<?, ?ba/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bc64279aa0ee488f8d7e22b472524093",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/84 [00:00<?, ?ba/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading cached processed dataset at /home/eschwartz/.cache/huggingface/datasets/ejschwartz___parquet/ejschwartz--oo-method-test-new-8eaca399917e96f5/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec/cache-5dd37e108f928473.arrow\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'2008': 27454,\n",
       " '2010': 3691,\n",
       " '2012': 5590,\n",
       " '2013': 5908,\n",
       " '2015': 9719,\n",
       " '2017': 9919,\n",
       " '2019': 10534,\n",
       " '2023': 0}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "{year: len(ds.filter(lambda r: year in r[\"Binary\"])['combined']) for year in [\"2008\", \"2010\", \"2012\", \"2013\", \"2015\", \"2017\", \"2019\", \"2022\"]}"
   ]
  }
 ],
 "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": "3.6.8"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}