{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/escher/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "# pip install librosa soundfile datasets transformers pandas\n",
    "\n",
    "import os\n",
    "import pandas as pd\n",
    "from datasets import Dataset, DatasetDict, load_dataset, Audio\n",
    "\n",
    "# Define the paths to your data\n",
    "audio_folder = \".\"\n",
    "metadata_files = {\n",
    "    \"train\": \"./metadata_train_final.csv\",\n",
    "    \"dev\": \"./metadata_dev_final.csv\",\n",
    "    \"test\": \"./metadata_test_final.csv\"\n",
    "}\n",
    "\n",
    "# Function to load and process each split\n",
    "def load_and_process_split(split_name, metadata_file):\n",
    "    metadata = pd.read_csv(metadata_file)\n",
    "    dataset = Dataset.from_pandas(metadata)\n",
    "    dataset = dataset.map(lambda row: {\"audio\": os.path.join(audio_folder, row[\"file_path\"])})\n",
    "    dataset = dataset.cast_column(\"audio\", Audio())\n",
    "    return dataset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Map: 100%|██████████| 382258/382258 [02:35<00:00, 2456.10 examples/s]\n",
      "Map: 100%|██████████| 7522/7522 [00:03<00:00, 2342.43 examples/s]\n",
      "Map: 100%|██████████| 12676/12676 [00:05<00:00, 2413.03 examples/s]\n",
      "Saving the dataset (125/125 shards): 100%|██████████| 382258/382258 [15:59<00:00, 398.47 examples/s]\n",
      "Saving the dataset (3/3 shards): 100%|██████████| 7522/7522 [00:44<00:00, 169.61 examples/s]\n",
      "Saving the dataset (5/5 shards): 100%|██████████| 12676/12676 [00:44<00:00, 282.87 examples/s]\n"
     ]
    }
   ],
   "source": [
    "# Create a DatasetDict\n",
    "dataset_dict = DatasetDict({\n",
    "    key: load_and_process_split(key, metadata_files[key])\n",
    "    for key in metadata_files\n",
    "})\n",
    "\n",
    "dataset_dict.save_to_disk(\"processed_coraa\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/escher/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DatasetDict({\n",
      "    train: Dataset({\n",
      "        features: ['file_path', 'task', 'variety', 'dataset', 'accent', 'speech_genre', 'speech_style', 'up_votes', 'down_votes', 'votes_for_hesitation', 'votes_for_filled_pause', 'votes_for_noise_or_low_voice', 'votes_for_second_voice', 'votes_for_no_identified_problem', 'text', 'audio'],\n",
      "        num_rows: 382258\n",
      "    })\n",
      "    dev: Dataset({\n",
      "        features: ['file_path', 'task', 'variety', 'dataset', 'accent', 'speech_genre', 'speech_style', 'up_votes', 'down_votes', 'votes_for_hesitation', 'votes_for_filled_pause', 'votes_for_noise_or_low_voice', 'votes_for_second_voice', 'votes_for_no_identified_problem', 'text', 'audio'],\n",
      "        num_rows: 7522\n",
      "    })\n",
      "    test: Dataset({\n",
      "        features: ['file_path', 'task', 'variety', 'dataset', 'accent', 'speech_genre', 'speech_style', 'up_votes', 'down_votes', 'votes_for_hesitation', 'votes_for_filled_pause', 'votes_for_noise_or_low_voice', 'votes_for_second_voice', 'votes_for_no_identified_problem', 'text', 'audio'],\n",
      "        num_rows: 12676\n",
      "    })\n",
      "})\n"
     ]
    }
   ],
   "source": [
    "# After running the script, verify the structure and contents of the processed dataset:\n",
    "from datasets import load_from_disk\n",
    "\n",
    "# Load the processed dataset\n",
    "dataset_dict = load_from_disk(\"processed_coraa\")\n",
    "\n",
    "# Check the dataset structure\n",
    "print(dataset_dict)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'dataset_dict' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[1], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Check a sample from each split\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mdataset_dict\u001b[49m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdev\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28mprint\u001b[39m(dataset_dict[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtest\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m      5\u001b[0m \u001b[38;5;66;03m# Ensure the audio files are correctly loaded and playable:\u001b[39;00m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'dataset_dict' is not defined"
     ]
    }
   ],
   "source": [
    "# Check a sample from each split\n",
    "print(dataset_dict[\"dev\"][0])\n",
    "print(dataset_dict[\"test\"][0])\n",
    "\n",
    "# Ensure the audio files are correctly loaded and playable:\n",
    "import IPython.display as ipd\n",
    "\n",
    "# Display the first audio sample\n",
    "ipd.Audio(dataset_dict[\"train\"][0][\"audio\"][\"array\"], rate=dataset_dict[\"train\"][0][\"audio\"][\"sampling_rate\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "# Get the token from the environment\n",
    "token = os.getenv(\"HF_TOKEN\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "ename": "HfHubHTTPError",
     "evalue": "401 Client Error: Unauthorized for url: https://huggingface.co/api/repos/create (Request ID: Root=1-665a64d7-7c65f3ac5c9f8e342ff9032f;a3372b6f-f746-4fe0-81ac-d5965ae1a6d6)\n\nInvalid username or password.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mHTTPError\u001b[0m                                 Traceback (most recent call last)",
      "File \u001b[0;32m~/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py:304\u001b[0m, in \u001b[0;36mhf_raise_for_status\u001b[0;34m(response, endpoint_name)\u001b[0m\n\u001b[1;32m    303\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 304\u001b[0m     \u001b[43mresponse\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_for_status\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    305\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m HTTPError \u001b[38;5;28;01mas\u001b[39;00m e:\n",
      "File \u001b[0;32m~/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/requests/models.py:1024\u001b[0m, in \u001b[0;36mResponse.raise_for_status\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1023\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m http_error_msg:\n\u001b[0;32m-> 1024\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m HTTPError(http_error_msg, response\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m)\n",
      "\u001b[0;31mHTTPError\u001b[0m: 401 Client Error: Unauthorized for url: https://huggingface.co/api/repos/create",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[0;31mHfHubHTTPError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[9], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdataset_dict\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpush_to_hub\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mgabrielrstan/CORAA-v1.1\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtoken\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/datasets/dataset_dict.py:1703\u001b[0m, in \u001b[0;36mDatasetDict.push_to_hub\u001b[0;34m(self, repo_id, config_name, set_default, data_dir, commit_message, commit_description, private, token, revision, branch, create_pr, max_shard_size, num_shards, embed_external_files)\u001b[0m\n\u001b[1;32m   1699\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSplit name should match \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m_split_re\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m but got \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00msplit\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m   1701\u001b[0m api \u001b[38;5;241m=\u001b[39m HfApi(endpoint\u001b[38;5;241m=\u001b[39mconfig\u001b[38;5;241m.\u001b[39mHF_ENDPOINT, token\u001b[38;5;241m=\u001b[39mtoken)\n\u001b[0;32m-> 1703\u001b[0m repo_url \u001b[38;5;241m=\u001b[39m \u001b[43mapi\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate_repo\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1704\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrepo_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1705\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtoken\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1706\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrepo_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mdataset\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1707\u001b[0m \u001b[43m    \u001b[49m\u001b[43mprivate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mprivate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1708\u001b[0m \u001b[43m    \u001b[49m\u001b[43mexist_ok\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m   1709\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1710\u001b[0m repo_id \u001b[38;5;241m=\u001b[39m repo_url\u001b[38;5;241m.\u001b[39mrepo_id\n\u001b[1;32m   1712\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m revision \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
      "File \u001b[0;32m~/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py:114\u001b[0m, in \u001b[0;36mvalidate_hf_hub_args.<locals>._inner_fn\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_use_auth_token:\n\u001b[1;32m    112\u001b[0m     kwargs \u001b[38;5;241m=\u001b[39m smoothly_deprecate_use_auth_token(fn_name\u001b[38;5;241m=\u001b[39mfn\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, has_token\u001b[38;5;241m=\u001b[39mhas_token, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n\u001b[0;32m--> 114\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/huggingface_hub/hf_api.py:3256\u001b[0m, in \u001b[0;36mHfApi.create_repo\u001b[0;34m(self, repo_id, token, private, repo_type, exist_ok, space_sdk, space_hardware, space_storage, space_sleep_time, space_secrets, space_variables)\u001b[0m\n\u001b[1;32m   3253\u001b[0m     \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[1;32m   3255\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3256\u001b[0m     \u001b[43mhf_raise_for_status\u001b[49m\u001b[43m(\u001b[49m\u001b[43mr\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3257\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m HTTPError \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m   3258\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m exist_ok \u001b[38;5;129;01mand\u001b[39;00m err\u001b[38;5;241m.\u001b[39mresponse\u001b[38;5;241m.\u001b[39mstatus_code \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m409\u001b[39m:\n\u001b[1;32m   3259\u001b[0m         \u001b[38;5;66;03m# Repo already exists and `exist_ok=True`\u001b[39;00m\n",
      "File \u001b[0;32m~/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py:371\u001b[0m, in \u001b[0;36mhf_raise_for_status\u001b[0;34m(response, endpoint_name)\u001b[0m\n\u001b[1;32m    367\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m HfHubHTTPError(message, response\u001b[38;5;241m=\u001b[39mresponse) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n\u001b[1;32m    369\u001b[0m \u001b[38;5;66;03m# Convert `HTTPError` into a `HfHubHTTPError` to display request information\u001b[39;00m\n\u001b[1;32m    370\u001b[0m \u001b[38;5;66;03m# as well (request id and/or server error message)\u001b[39;00m\n\u001b[0;32m--> 371\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m HfHubHTTPError(\u001b[38;5;28mstr\u001b[39m(e), response\u001b[38;5;241m=\u001b[39mresponse) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n",
      "\u001b[0;31mHfHubHTTPError\u001b[0m: 401 Client Error: Unauthorized for url: https://huggingface.co/api/repos/create (Request ID: Root=1-665a64d7-7c65f3ac5c9f8e342ff9032f;a3372b6f-f746-4fe0-81ac-d5965ae1a6d6)\n\nInvalid username or password."
     ]
    }
   ],
   "source": [
    "dataset_dict.push_to_hub(\"Racoci/CORAA-v1.1\", token=token)"
   ]
  }
 ],
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