{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "85d9c344",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "72bc5f455b2143dd90cf810189aee21c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading readme:   0%|          | 0.00/13.3k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "12c524f78a4a4570b80b72badf142790",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading data files:   0%|          | 0/2 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9f6b9877390042639aae89118307a057",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading data:   0%|          | 0.00/137M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8f7accf7b9714eeea410350ba9108ef0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2e237b82f21b43bfaae03fd8d5117434",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Extracting data files:   0%|          | 0/2 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "79fd626291db4283863f4c2ecc0340aa",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Generating train split:   0%|          | 0/202364 [00:00<?, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a17e2606490041e7ab0c5687a575c675",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Generating test split:   0%|          | 0/1750 [00:00<?, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from datasets import load_dataset\n",
    "\n",
    "dataset = load_dataset(\"CohereForAI/aya_dataset\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ece918a9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 202364/202364 [00:09<00:00, 21823.15it/s]\n"
     ]
    }
   ],
   "source": [
    "from tqdm import tqdm\n",
    "\n",
    "filtered = []\n",
    "for d in tqdm(dataset['train']):\n",
    "    if d['language_code'] == 'zsm':\n",
    "        filtered.append(d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "57ea1626",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10073"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(filtered)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "754b42b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "with open('filtered-aya_dataset-zsm.jsonl', 'w') as fopen:\n",
    "    for d in filtered:\n",
    "        fopen.write(f'{json.dumps(d)}\\n')"
   ]
  }
 ],
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