Upload qc_player.ipynb with huggingface_hub

qc_player.ipynb

@@ -0,0 +1,262 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# VoxPopuli Pseudolabel QC Player\n",
+    "\n",
+    "Review samples that passed basic filtering but might still have issues:\n",
+    "\n",
+    "| Category | Description | Count |\n",
+    "|----------|-------------|-------|\n",
+    "| `charrate_low` | Borderline char rate 8-10 c/s | 10 |\n",
+    "| `charrate_high` | Borderline char rate 18-20 c/s | 10 |\n",
+    "| `has_digits` | Contains numbers (potential transcription issues) | 10 |\n",
+    "| `unusual_punct` | Non-standard punctuation | 10 |\n",
+    "| `shorter_mild` | Parakeet 50-70% of Whisper length | 10 |\n",
+    "| `shorter_severe` | Parakeet <50% of Whisper length | 10 |"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Install dependencies\n",
+    "!pip install -q ipywidgets huggingface_hub"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import os\n",
+    "from pathlib import Path\n",
+    "from IPython.display import Audio, display, HTML, clear_output\n",
+    "import ipywidgets as widgets\n",
+    "\n",
+    "# Download from HuggingFace\n",
+    "from huggingface_hub import hf_hub_download, list_repo_files\n",
+    "\n",
+    "REPO_ID = \"toth235a/voxpopuli-qc-samples\"\n",
+    "LOCAL_DIR = Path(\"qc_samples\")\n",
+    "LOCAL_DIR.mkdir(exist_ok=True)\n",
+    "\n",
+    "print(f\"Downloading QC samples from {REPO_ID}...\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Download manifest\n",
+    "manifest_path = hf_hub_download(\n",
+    "    repo_id=REPO_ID,\n",
+    "    filename=\"qc_manifest.json\",\n",
+    "    repo_type=\"dataset\",\n",
+    "    local_dir=LOCAL_DIR\n",
+    ")\n",
+    "\n",
+    "with open(manifest_path) as f:\n",
+    "    samples = json.load(f)\n",
+    "\n",
+    "print(f\"Loaded {len(samples)} QC samples\")\n",
+    "\n",
+    "# Group by category\n",
+    "by_category = {}\n",
+    "for s in samples:\n",
+    "    cat = s['category']\n",
+    "    if cat not in by_category:\n",
+    "        by_category[cat] = []\n",
+    "    by_category[cat].append(s)\n",
+    "\n",
+    "print(\"\\nCategories:\")\n",
+    "for cat, items in by_category.items():\n",
+    "    print(f\"  {cat}: {len(items)} samples\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Download all audio files\n",
+    "print(\"Downloading audio files...\")\n",
+    "files = list_repo_files(REPO_ID, repo_type=\"dataset\")\n",
+    "audio_files = [f for f in files if f.endswith('.ogg')]\n",
+    "\n",
+    "for audio_file in audio_files:\n",
+    "    try:\n",
+    "        hf_hub_download(\n",
+    "            repo_id=REPO_ID,\n",
+    "            filename=audio_file,\n",
+    "            repo_type=\"dataset\",\n",
+    "            local_dir=LOCAL_DIR\n",
+    "        )\n",
+    "    except Exception as e:\n",
+    "        print(f\"Failed to download {audio_file}: {e}\")\n",
+    "\n",
+    "print(f\"Downloaded {len(audio_files)} audio files\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def display_sample(sample, local_dir=LOCAL_DIR):\n",
+    "    \"\"\"Display a single QC sample with audio and transcripts.\"\"\"\n",
+    "    \n",
+    "    # Header\n",
+    "    html = f\"\"\"\n",
+    "    <div style=\"border: 1px solid #ccc; padding: 15px; margin: 10px 0; border-radius: 5px;\">\n",
+    "        <h3 style=\"margin-top: 0;\">🎧 {sample['id']}</h3>\n",
+    "        <p><strong>Category:</strong> {sample['category']}</p>\n",
+    "        <p><strong>Duration:</strong> {sample['duration']:.2f}s | \n",
+    "           <strong>Char Rate:</strong> {sample['char_rate']:.1f} c/s</p>\n",
+    "    \"\"\"\n",
+    "    \n",
+    "    if sample.get('length_ratio'):\n",
+    "        html += f\"<p><strong>Length Ratio (Parakeet/Whisper):</strong> {sample['length_ratio']:.2f}</p>\"\n",
+    "    \n",
+    "    html += f\"\"\"\n",
+    "        <div style=\"background: #f5f5f5; padding: 10px; margin: 10px 0; border-radius: 3px;\">\n",
+    "            <strong>🤖 Parakeet:</strong><br>\n",
+    "            <span style=\"font-family: monospace;\">{sample['parakeet_text']}</span>\n",
+    "        </div>\n",
+    "    \"\"\"\n",
+    "    \n",
+    "    if sample.get('whisper_text'):\n",
+    "        html += f\"\"\"\n",
+    "        <div style=\"background: #e8f4e8; padding: 10px; margin: 10px 0; border-radius: 3px;\">\n",
+    "            <strong>🔊 Whisper (original):</strong><br>\n",
+    "            <span style=\"font-family: monospace;\">{sample['whisper_text']}</span>\n",
+    "        </div>\n",
+    "        \"\"\"\n",
+    "    \n",
+    "    html += \"</div>\"\n",
+    "    display(HTML(html))\n",
+    "    \n",
+    "    # Audio player\n",
+    "    audio_path = local_dir / sample['category'] / sample['audio_file']\n",
+    "    if audio_path.exists():\n",
+    "        display(Audio(str(audio_path)))\n",
+    "    else:\n",
+    "        print(f\"⚠️ Audio not found: {audio_path}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Interactive category selector\n",
+    "category_dropdown = widgets.Dropdown(\n",
+    "    options=list(by_category.keys()),\n",
+    "    description='Category:',\n",
+    "    style={'description_width': 'initial'}\n",
+    ")\n",
+    "\n",
+    "sample_slider = widgets.IntSlider(\n",
+    "    value=0,\n",
+    "    min=0,\n",
+    "    max=9,\n",
+    "    step=1,\n",
+    "    description='Sample #:',\n",
+    "    continuous_update=False\n",
+    ")\n",
+    "\n",
+    "output = widgets.Output()\n",
+    "\n",
+    "def update_display(change):\n",
+    "    with output:\n",
+    "        clear_output(wait=True)\n",
+    "        cat = category_dropdown.value\n",
+    "        idx = sample_slider.value\n",
+    "        if idx < len(by_category[cat]):\n",
+    "            display_sample(by_category[cat][idx])\n",
+    "        else:\n",
+    "            print(f\"No sample at index {idx}\")\n",
+    "\n",
+    "category_dropdown.observe(update_display, names='value')\n",
+    "sample_slider.observe(update_display, names='value')\n",
+    "\n",
+    "display(widgets.VBox([category_dropdown, sample_slider, output]))\n",
+    "update_display(None)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Browse All Samples by Category"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Display all samples in a specific category\n",
+    "CATEGORY = \"shorter_severe\"  # Change this to browse different categories\n",
+    "\n",
+    "print(f\"=\" * 70)\n",
+    "print(f\"Category: {CATEGORY}\")\n",
+    "print(f\"=\" * 70)\n",
+    "\n",
+    "for sample in by_category.get(CATEGORY, []):\n",
+    "    display_sample(sample)\n",
+    "    print()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## QC Notes\n",
+    "\n",
+    "Use this cell to record your observations:\n",
+    "\n",
+    "### charrate_low (8-10 c/s)\n",
+    "- [ ] Sample 00: \n",
+    "- [ ] Sample 01:\n",
+    "\n",
+    "### charrate_high (18-20 c/s)  \n",
+    "- [ ] Sample 00:\n",
+    "- [ ] Sample 01:\n",
+    "\n",
+    "### shorter_severe (<50% of Whisper)\n",
+    "- [ ] Sample 00:\n",
+    "- [ ] Sample 01:\n",
+    "\n",
+    "### Observations:\n",
+    "- \n",
+    "-"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python",
+   "version": "3.10.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}