{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating the NENA Speech Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Download validated examples from Pocketbase"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pocketbase import PocketBase\n",
    "\n",
    "pb = PocketBase('https://pocketbase.nenadb.dev/')\n",
    "\n",
    "dialects = pb.collection(\"dialects\").get_full_list(query_params={\n",
    "    \"sort\": \"name\",\n",
    "})\n",
    "\n",
    "examples = pb.collection(\"examples\").get_full_list(query_params={\n",
    "    \"expand\": \"dialect\",\n",
    "    \"filter\": \"validated=true\",\n",
    "})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create shards"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pydub import AudioSegment\n",
    "import requests\n",
    "import tempfile\n",
    "\n",
    "test_split = 0.10\n",
    "dev_split = 0.10\n",
    "\n",
    "for i, example in enumerate(examples):\n",
    "    prog = i / len(examples)\n",
    "    \n",
    "    if prog < test_split:\n",
    "        split = 'test'\n",
    "    elif prog < dev_split + test_split:\n",
    "        split = 'dev'\n",
    "    else:\n",
    "        split = 'train'\n",
    "\n",
    "    audio_url = pb.get_file_url(example, example.speech, {})\n",
    "    response = requests.get(audio_url)\n",
    "\n",
    "    with tempfile.NamedTemporaryFile() as f:\n",
    "        f.write(response.content)\n",
    "        f.flush()\n",
    "        audio = AudioSegment.from_file(f.name)\n",
    "\n",
    "    audio = audio.set_frame_rate(48000)\n",
    "    audio.export(f\"nena_speech_{example.id}.mp3\", format=\"mp3\")\n",
    "\n",
    "    break"
   ]
  }
 ],
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