add initial files

.gitignore

@@ -0,0 +1,5 @@
+# pyhton
+venv
+
+# MacOS
+.DS_Store

README.md

@@ -0,0 +1,7 @@
+# NENA Speech Dataset
+
+## Context
+The [Northeastern Neo-Aramaic (NENA) Database Project](https://nena.ames.cam.ac.uk/), lead by Professor Geoffrey Khan, has been collecting language documentation materials for the NENA dialects. These materials include [a description of the dialect of the Assyrian Christians of Urmi](https://drive.google.com/file/d/1k7QXjjxakQN87c0p-SAcUwnxY_JbrKj9/view?usp=drive_link). This description contains 300 pages of transcribed and translated oral literature. These language documentation materials are [actively being parsed](https://github.com/mattynaz/nena-dataset-parsing) and then placed into a database at [pocketbase.nenadb.dev](https://pocketbase.nenadb.dev/_). The platform [assyrianspeech.com/chaldeanspeech.com/aramaicspeech.com](https://crowdsource.nenadb.dev/) allows the community to directly engage with these parsed examples and contribute their own voices to the database.
+
+## Goal
+The goal is to publish this dataset to [HuggingFace](https://huggingface.co/). Mozilla's [Common Voice dataset](https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0/tree/main) provides an example implementation of such a dataset.

main.ipynb

@@ -0,0 +1,104 @@
+{
+ "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"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "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": "3.11.5"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

requirements.txt

@@ -0,0 +1,6 @@
+torchaudio
+torch
+pocketbase
+datasets
+pydub
+requests