{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d31d8850",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-04-09T00:26:03.791596Z",
     "start_time": "2024-04-09T00:26:03.790127Z"
    },
    "execution": {
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     "iopub.status.busy": "2024-09-04T21:10:58.948746Z",
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     "shell.execute_reply": "2024-09-04T21:10:58.953218Z",
     "shell.execute_reply.started": "2024-09-04T21:10:58.949332Z"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bd365f5e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-04-09T00:26:04.766690Z",
     "start_time": "2024-04-09T00:26:04.765283Z"
    },
    "execution": {
     "iopub.execute_input": "2024-09-04T21:10:59.666962Z",
     "iopub.status.busy": "2024-09-04T21:10:59.666587Z",
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     "shell.execute_reply": "2024-09-04T21:10:59.668441Z",
     "shell.execute_reply.started": "2024-09-04T21:10:59.666946Z"
    }
   },
   "outputs": [],
   "source": [
    "# prep metas for each dataset with one row for each entry and (eg non-music will be filtered out)\n",
    "# genius_hq, youtube_music, freesound, jamendo, imslp, deezer, ytm_tagged\n",
    "\n",
    "# metas will contain text and tags:\n",
    "#   text will be a simple string (eg for foreign etc)\n",
    "#   text_segments will be a list of timestamped segments for aligned\n",
    "#   tags will be (maybe empty) list of strings which could be any description (genre, title etc)\n",
    "\n",
    "# save this all to METAS_DIR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7cd4c0dd",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-04-09T00:26:10.032280Z",
     "start_time": "2024-04-09T00:26:05.330726Z"
    },
    "execution": {
     "iopub.execute_input": "2024-09-04T21:11:00.502786Z",
     "iopub.status.busy": "2024-09-04T21:11:00.502502Z",
     "iopub.status.idle": "2024-09-04T21:11:05.971846Z",
     "shell.execute_reply": "2024-09-04T21:11:05.971310Z",
     "shell.execute_reply.started": "2024-09-04T21:11:00.502771Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tony/anaconda3/envs/suno_env/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "METAS_DIR: /home/tony/Work/tony/FineTuning_chirp_v4/metadata\n"
     ]
    }
   ],
   "source": [
    "import collections\n",
    "import copy\n",
    "import gc\n",
    "import json\n",
    "import math\n",
    "import random\n",
    "import re\n",
    "import tempfile\n",
    "\n",
    "import fasttext\n",
    "import funcy\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import torch\n",
    "import tqdm\n",
    "from joblib import Parallel, delayed\n",
    "from suno_utils.audio import Audio\n",
    "from suno_utils.harvest.youtube.constants.text_lang import BASE_TO_FASTTEXT_REMAP\n",
    "from suno_utils.utils.display import capture_output\n",
    "from suno_utils.utils.s3 import check_s3_file_exists, open_from_s3, read_from_s3\n",
    "from suno_utils.utils.text import (\n",
    "    normalize_whitespace,\n",
    "    read_json,\n",
    "    read_jsonl,\n",
    "    write_json,\n",
    "    write_jsonl,\n",
    ")\n",
    "from suno_utils.utils.lyrics import remove_speakers\n",
    "from suno_utils.utils.tokenizers import tokenize\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "LANG_ID_MODEL_FP = \"s3://suno-data/georg/trained_models/chirp_v1/lid.176.bin\"\n",
    "with capture_output():\n",
    "    text_lang_model = read_from_s3(LANG_ID_MODEL_FP, read_f=fasttext.load_model)\n",
    "\n",
    "\n",
    "def _get_text_lang(text):\n",
    "    \"\"\"get probability of input language for text\"\"\"\n",
    "    text = text.replace(\"’\", \"'\").lower()\n",
    "    text = re.sub(r\"\\[.+?\\]\", \" \", text)\n",
    "    text = normalize_whitespace(text)\n",
    "    out = text_lang_model.predict(text, k=1)\n",
    "    lang_str = out[0][0]\n",
    "    p_lang = out[1][0]\n",
    "    lang = lang_str.split(\"__\")[-1]\n",
    "    lang = BASE_TO_FASTTEXT_REMAP.get(lang, lang)\n",
    "    #     if p_lang >= 0.8:\n",
    "    #         return lang\n",
    "    return p_lang, lang\n",
    "\n",
    "\n",
    "def _clean_tag(s):\n",
    "    if s is None or not isinstance(s, str):\n",
    "        return \"\"\n",
    "    # remove symbold with special meaning\n",
    "    s = re.sub(r\"[\\{\\}\\_\\[\\]]\", \" \", s)\n",
    "    # squash whitespace\n",
    "    return normalize_whitespace(s)\n",
    "\n",
    "\n",
    "TMP_DIR = os.path.join(os.getcwd(), \"tmp\")\n",
    "METAS_DIR = os.path.join(os.getcwd(), \"metadata\")\n",
    "os.makedirs(METAS_DIR, exist_ok=True)\n",
    "os.makedirs(TMP_DIR, exist_ok=True)\n",
    "print(f\"METAS_DIR: {METAS_DIR}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "00c1f153",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-04T21:12:42.781072Z",
     "iopub.status.busy": "2024-09-04T21:12:42.780716Z",
     "iopub.status.idle": "2024-09-04T21:12:42.783826Z",
     "shell.execute_reply": "2024-09-04T21:12:42.783409Z",
     "shell.execute_reply.started": "2024-09-04T21:12:42.781053Z"
    }
   },
   "outputs": [],
   "source": [
    "prod_tag_version = \"v8\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c02b9ce",
   "metadata": {},
   "source": [
    "# DISCOGS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "509ebfa1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-04-09T00:31:17.501588Z",
     "start_time": "2024-04-09T00:27:02.072886Z"
    },
    "execution": {
     "iopub.execute_input": "2024-09-05T19:29:01.448927Z",
     "iopub.status.busy": "2024-09-05T19:29:01.448565Z",
     "iopub.status.idle": "2024-09-05T19:29:07.580081Z",
     "shell.execute_reply": "2024-09-05T19:29:07.579470Z",
     "shell.execute_reply.started": "2024-09-05T19:29:01.448908Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "53357407\n",
      "6855322\n"
     ]
    }
   ],
   "source": [
    "# base_metas = read_jsonl(\"/app/suno/data/chirp_v4/metadata/discogs.jsonl\")\n",
    "discogs_base_metas = base_metas\n",
    "print(len(discogs_base_metas))\n",
    "lyrics_metas = [meta for meta in discogs_base_metas if \"text\" in meta]\n",
    "print(len(lyrics_metas))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "f8069e27-1d30-4ed7-81c9-1cfec6c35f8f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:29:11.067661Z",
     "iopub.status.busy": "2024-09-05T19:29:11.067264Z",
     "iopub.status.idle": "2024-09-05T19:29:11.070594Z",
     "shell.execute_reply": "2024-09-05T19:29:11.070154Z",
     "shell.execute_reply.started": "2024-09-05T19:29:11.067641Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10801690\n"
     ]
    }
   ],
   "source": [
    "# ytm_tagged_victor = read_jsonl(\"/app/suno/data/chirp_v4/metadata/ytm_tagged_songs_0731.jsonl\")\n",
    "print(len(ytm_tagged_victor))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "711bb845-e126-430f-b797-f02f9508f25c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:28:36.062603Z",
     "iopub.status.busy": "2024-09-05T19:28:36.062177Z",
     "iopub.status.idle": "2024-09-05T19:28:36.065240Z",
     "shell.execute_reply": "2024-09-05T19:28:36.064793Z",
     "shell.execute_reply.started": "2024-09-05T19:28:36.062582Z"
    }
   },
   "outputs": [],
   "source": [
    "# ytm_tagged_victor[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "306f9768-86ed-40be-b613-2a852581f1a2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:28:39.602846Z",
     "iopub.status.busy": "2024-09-05T19:28:39.602418Z",
     "iopub.status.idle": "2024-09-05T19:28:39.604827Z",
     "shell.execute_reply": "2024-09-05T19:28:39.604417Z",
     "shell.execute_reply.started": "2024-09-05T19:28:39.602826Z"
    }
   },
   "outputs": [],
   "source": [
    "# lyrics_metas[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9961d027-7c9f-42cc-aeda-a02da1d431a3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8cbadf5a-b626-42a0-a147-dad63ed32fca",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "d9d50793",
   "metadata": {},
   "source": [
    "# Genius_hq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5f74ae77-07e0-4327-84cb-70b0cff38414",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-04T21:12:45.654562Z",
     "iopub.status.busy": "2024-09-04T21:12:45.654227Z",
     "iopub.status.idle": "2024-09-04T21:12:45.785992Z",
     "shell.execute_reply": "2024-09-04T21:12:45.785414Z",
     "shell.execute_reply.started": "2024-09-04T21:12:45.654546Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "deezer_alignments_v8.jsonl     genius_hq_alignments_v6.jsonl\n",
      "deezer_alignments_v9.jsonl     genius_hq_metas_quality.json\n",
      "deezer_hq_alignments_v6.jsonl  ytm_alignments_v8.jsonl\n",
      "genius_alignments_v8.jsonl     ytm_alignments_v9.jsonl\n",
      "genius_alignments_v9.jsonl     ytm_hq_alignments_v6.jsonl\n"
     ]
    }
   ],
   "source": [
    "!ls tmp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "43188de2-47fb-40cb-a292-02eef7d48079",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-04T21:12:46.290736Z",
     "iopub.status.busy": "2024-09-04T21:12:46.290395Z",
     "iopub.status.idle": "2024-09-04T21:12:46.417730Z",
     "shell.execute_reply": "2024-09-04T21:12:46.417187Z",
     "shell.execute_reply.started": "2024-09-04T21:12:46.290718Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "genius_hq_v6.jsonl  genius_hq_v9.jsonl\t    youtube_music_v8.jsonl\n",
      "genius_hq_v8.jsonl  youtube_music_v6.jsonl  youtube_music_v9.jsonl\n"
     ]
    }
   ],
   "source": [
    "!ls metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3bf63af8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T19:41:51.786426Z",
     "start_time": "2024-02-05T19:40:31.671381Z"
    },
    "execution": {
     "iopub.execute_input": "2024-09-04T21:12:49.330893Z",
     "iopub.status.busy": "2024-09-04T21:12:49.330543Z",
     "iopub.status.idle": "2024-09-04T21:15:47.316433Z",
     "shell.execute_reply": "2024-09-04T21:15:47.315819Z",
     "shell.execute_reply.started": "2024-09-04T21:12:49.330876Z"
    }
   },
   "outputs": [],
   "source": [
    "# 1m 13secs\n",
    "genius_base_metas = read_from_s3(\n",
    "    \"s3://suno-data/datasets/bundles/v1/genius_hq/metas_plus.jsonl\", read_f=read_jsonl\n",
    ")\n",
    "genius_aligned_lyrics = read_jsonl(\n",
    "    os.path.join(TMP_DIR, f\"genius_alignments_{prod_tag_version}.jsonl\")\n",
    ")\n",
    "genius_aligned_lyrics_map = {k: v for k, v in genius_aligned_lyrics}\n",
    "del genius_aligned_lyrics\n",
    "gc.collect();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8ba7c254",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-04T21:15:47.317623Z",
     "iopub.status.busy": "2024-09-04T21:15:47.317460Z",
     "iopub.status.idle": "2024-09-04T21:15:53.853503Z",
     "shell.execute_reply": "2024-09-04T21:15:53.852926Z",
     "shell.execute_reply.started": "2024-09-04T21:15:47.317608Z"
    }
   },
   "outputs": [],
   "source": [
    "with open(os.path.join(TMP_DIR, \"genius_hq_metas_quality.json\"), \"r\") as fp:\n",
    "    genius_hq_metas_quality = json.load(fp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "9324363e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T19:42:35.161477Z",
     "start_time": "2024-02-05T19:42:33.857969Z"
    },
    "execution": {
     "iopub.execute_input": "2024-09-04T21:15:53.854401Z",
     "iopub.status.busy": "2024-09-04T21:15:53.854235Z",
     "iopub.status.idle": "2024-09-04T21:15:55.219024Z",
     "shell.execute_reply": "2024-09-04T21:15:55.218471Z",
     "shell.execute_reply.started": "2024-09-04T21:15:53.854386Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sup bro\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████| 2090009/2090009 [00:01<00:00, 1536647.79it/s]\n"
     ]
    }
   ],
   "source": [
    "print(\"Sup bro\")\n",
    "for m in tqdm.tqdm(genius_base_metas):\n",
    "    if m[\"genius_slug\"] == \"Taylor-swift-youre-on-your-own-kid-lyrics\":\n",
    "        print(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "d3e6866e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T19:43:54.534929Z",
     "start_time": "2024-02-05T19:42:35.165857Z"
    },
    "execution": {
     "iopub.execute_input": "2024-09-05T19:31:55.117803Z",
     "iopub.status.busy": "2024-09-05T19:31:55.117372Z",
     "iopub.status.idle": "2024-09-05T19:32:14.128618Z",
     "shell.execute_reply": "2024-09-05T19:32:14.128017Z",
     "shell.execute_reply.started": "2024-09-05T19:31:55.117782Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████| 2090009/2090009 [00:18<00:00, 115310.79it/s]\n"
     ]
    }
   ],
   "source": [
    "metas = []\n",
    "seen_ids = set()\n",
    "blocked_tags = set(\n",
    "    [\n",
    "        t.lower()\n",
    "        for t in [\n",
    "            \"Non-Music\",\n",
    "            \"Spoken Word\",\n",
    "            \"Harsh Noise\",\n",
    "            \"Noise\",\n",
    "            \"Noise Pop\",\n",
    "            \"Noise Rock\",\n",
    "        ]\n",
    "    ]\n",
    ")\n",
    "for m in tqdm.tqdm(genius_base_metas):\n",
    "    if (\n",
    "        m[\"genius_views\"] < 3000  # default is 50\n",
    "        or m[\"youtube_views\"] < 10000  # default is 100\n",
    "        or m[\"duration_s\"] < 1 * 20  # default is 60\n",
    "        or m[\"duration_s\"] > 8 * 60  # default is 8\n",
    "        or len(m[\"lyrics\"]) > 6144\n",
    "        or len(m[\"lyrics\"]) < 50\n",
    "    ):\n",
    "        continue\n",
    "    # check if it has description\n",
    "    #         if \"[\" not in m[\"lyrics\"] or \"(\" not in m[\"lyrics\"]:\n",
    "    #             continue\n",
    "    if m[\"id\"] in seen_ids or m[\"id\"] not in genius_aligned_lyrics_map:\n",
    "        continue\n",
    "    if m[\"id\"] not in genius_hq_metas_quality:\n",
    "        continue\n",
    "    christian_quality = genius_hq_metas_quality[m[\"id\"]][\"audio_quality\"]\n",
    "    if float(christian_quality[\"score\"]) < -0.3:\n",
    "        continue\n",
    "    new_m = {\n",
    "        \"id\": m[\"id\"],\n",
    "        \"original_id\": m[\"genius_slug\"],\n",
    "        \"views\": m[\"youtube_views\"],\n",
    "        \"lang\": m[\"lang\"].split(\"-\")[0].lower(),\n",
    "        \"quality_score\": float(christian_quality[\"score\"]),\n",
    "    }\n",
    "    text_segments = []\n",
    "    for mm in genius_aligned_lyrics_map[m[\"id\"]]:\n",
    "        text_segments.append(\n",
    "            {\n",
    "                \"text\": remove_speakers(mm[\"text\"]),\n",
    "                \"private_text\": mm[\"text\"],\n",
    "                \"start_s\": mm[\"start_s\"],\n",
    "                \"end_s\": mm[\"end_s\"],\n",
    "                \"vocal_start_s\": mm[\"vocal_start_s\"],\n",
    "                \"vocal_end_s\": mm[\"vocal_end_s\"],\n",
    "                \"line_start_s\": mm[\"line_start_s\"],\n",
    "                \"line_end_s\": mm[\"line_end_s\"],\n",
    "            }\n",
    "        )\n",
    "    new_m[\"text_segments\"] = text_segments\n",
    "    new_m[\"duration_s\"] = m[\"duration_s\"]\n",
    "    new_m[\"private_text\"] = m[\"lyrics\"]\n",
    "    new_m[\"text\"] = remove_speakers(m[\"lyrics\"])\n",
    "    # add tags\n",
    "    tags = [\n",
    "        normalize_whitespace(t_clean.replace(\"Genius\", \" \"))\n",
    "        for t in m.get(\"tags_text\", [])\n",
    "        if len(t_clean := _clean_tag(t)) > 0\n",
    "    ]\n",
    "    if len(tags) == 0:\n",
    "        # we don't want to fine tune on things with no tags\n",
    "        continue\n",
    "    if len(tags) > 0:\n",
    "        new_m[\"tags\"] = list(set(tags))\n",
    "    #     if any(t.lower() in blocked_tags for t in new_m[\"tags\"]):\n",
    "    #         continue\n",
    "    private_tag = _clean_tag(m[\"youtube_title\"])\n",
    "    private_tags = tags\n",
    "    if len(private_tag) > 0:\n",
    "        private_tags += [private_tag]\n",
    "    if len(private_tags) > 0:\n",
    "        new_m[\"private_tags\"] = list(set(private_tags))\n",
    "    metas.append(new_m)\n",
    "    seen_ids.add(m[\"id\"])\n",
    "# v13\n",
    "# 1,237,956 total clips\n",
    "# 1,237,956 aligned clips\n",
    "# 793,697 en clips\n",
    "# 444,259 foreign clips\n",
    "# 42,882 hours of aligned en clips\n",
    "# 23,194 hours of aligned non-en clips\n",
    "# 139 hours of aligned zh clips\n",
    "# ======\n",
    "# v1\n",
    "# 1,255,485 total clips\n",
    "# 1,255,485 aligned clips\n",
    "# 809,155 en clips\n",
    "# 446,330 foreign clips\n",
    "# 38,000 hours of aligned en clips\n",
    "# 20,561 hours of aligned non-en clips\n",
    "# 122 hours of aligned zh clips\n",
    "# after the extension\n",
    "# 1,261,850 total clips\n",
    "# 1,261,850 aligned clips\n",
    "# 813,838 en clips\n",
    "# 448,012 foreign clips\n",
    "# 43,824 hours of aligned en clips\n",
    "# 23,725 hours of aligned non-en clips\n",
    "# 143 hours of aligned zh clips\n",
    "# v2\n",
    "# 1,262,813 total clips\n",
    "# 1,262,813 aligned clips\n",
    "# 814,507 en clips\n",
    "# 448,306 foreign clips\n",
    "# 44,019 hours of aligned en clips\n",
    "# 23,781 hours of aligned non-en clips\n",
    "# 143 hours of aligned zh clips\n",
    "# 1,262,813 clips with start 1,118,811 clips with end\n",
    "# v3\n",
    "# 1,262,927 total clips\n",
    "# 1,262,927 aligned clips\n",
    "# 814,530 en clips\n",
    "# 448,397 foreign clips\n",
    "# 44,020 hours of aligned en clips\n",
    "# 23,787 hours of aligned non-en clips\n",
    "# 143 hours of aligned zh clips\n",
    "# 1,262,927 clips with start 1,118,962 clips with end\n",
    "# v5\n",
    "# 1,264,571 total clips\n",
    "# 1,264,571 aligned clips\n",
    "# 815,620 en clips\n",
    "# 448,951 foreign clips\n",
    "# 45,765 hours of aligned en clips\n",
    "# 24,741 hours of aligned non-en clips\n",
    "# 148 hours of aligned zh clips\n",
    "# 1,264,571 clips with start 1,111,456 clips with end\n",
    "# v6\n",
    "# 1,229,743 total clips\n",
    "# 1,229,743 aligned clips\n",
    "# 792,798 en clips\n",
    "# 436,945 foreign clips\n",
    "# 42,862 hours of aligned en clips\n",
    "# 23,206 hours of aligned non-en clips\n",
    "# 139 hours of aligned zh clips\n",
    "# 1,229,743 clips with start 1,095,240 clips with end\n",
    "# v8\n",
    "# 794,447 total clips\n",
    "# 794,447 aligned clips\n",
    "# 535,856 en clips\n",
    "# 258,591 foreign clips\n",
    "# 30,517 hours of aligned en clips\n",
    "# 14,418 hours of aligned non-en clips\n",
    "# 66 hours of aligned zh clips\n",
    "# 794,447 clips with start 708,446 clips with end\n",
    "# v9\n",
    "# 629,810 total clips\n",
    "# 629,810 aligned clips\n",
    "# 419,620 en clips\n",
    "# 210,190 foreign clips\n",
    "# 20,016 hours of aligned en clips\n",
    "# 9,950 hours of aligned non-en clips\n",
    "# 46 hours of aligned zh clips\n",
    "# 629,810 clips with start 424,482 clips with end\n",
    "# v10\n",
    "# 454,028 total clips\n",
    "# 454,028 aligned clips\n",
    "# 311,606 en clips\n",
    "# 142,422 foreign clips\n",
    "# 17,908 hours of aligned en clips\n",
    "# 8,005 hours of aligned non-en clips\n",
    "# 31 hours of aligned zh clips\n",
    "# 454,028 clips with start 403,677 clips with end\n",
    "# v11\n",
    "# 255,221 total clips\n",
    "# 255,221 aligned clips\n",
    "# 178,167 en clips\n",
    "# 77,054 foreign clips\n",
    "# 10,347 hours of aligned en clips\n",
    "# 4,379 hours of aligned non-en clips\n",
    "# 15 hours of aligned zh clips\n",
    "# 255,221 clips with start 226,465 clips with end"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "52f752d4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T19:47:41.399641Z",
     "start_time": "2024-02-05T19:47:39.205569Z"
    },
    "execution": {
     "iopub.execute_input": "2024-09-05T19:32:36.149223Z",
     "iopub.status.busy": "2024-09-05T19:32:36.148868Z",
     "iopub.status.idle": "2024-09-05T19:32:37.058214Z",
     "shell.execute_reply": "2024-09-05T19:32:37.057641Z",
     "shell.execute_reply.started": "2024-09-05T19:32:36.149205Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "255,221 total clips\n",
      "255,221 aligned clips\n",
      "178,167 en clips\n",
      "77,054 foreign clips\n",
      "10,347 hours of aligned en clips\n",
      "4,379 hours of aligned non-en clips\n",
      "15 hours of aligned zh clips\n",
      "255,221 clips with start 226,465 clips with end\n"
     ]
    }
   ],
   "source": [
    "print(f\"{len(metas):,} total clips\")\n",
    "print(f\"{len([m for m in metas if 'text_segments' in m]):,} aligned clips\")\n",
    "print(f\"{len([m for m in metas if 'text' in m if m['lang'] == 'en']):,} en clips\")\n",
    "print(f\"{len([m for m in metas if 'text' in m if m['lang'] != 'en']):,} foreign clips\")\n",
    "en_dur_s = 0\n",
    "non_en_dur_s = 0\n",
    "zh_dur_s = 0\n",
    "n_vocal_start = 0\n",
    "n_vocal_end = 0\n",
    "segment_durations = []\n",
    "clip_scores = []\n",
    "for m in metas:\n",
    "    for mm in m.get(\"text_segments\", []):\n",
    "        time_diff = mm[\"end_s\"] - mm[\"start_s\"]\n",
    "        segment_durations.append(time_diff)\n",
    "        if time_diff > 240.00:\n",
    "            print(\"WTF\", time_diff)\n",
    "        if m[\"lang\"] == \"en\":\n",
    "            en_dur_s += time_diff\n",
    "        else:\n",
    "            non_en_dur_s += time_diff\n",
    "        if m[\"lang\"] == \"zh\":\n",
    "            zh_dur_s += time_diff\n",
    "        if mm[\"vocal_start_s\"] is not None:\n",
    "            n_vocal_start += 1\n",
    "        if mm[\"vocal_end_s\"] is not None:\n",
    "            n_vocal_end += 1\n",
    "    clip_scores.append(m[\"quality_score\"])\n",
    "print(f\"{en_dur_s/60/60:,.0f} hours of aligned en clips\")\n",
    "print(f\"{non_en_dur_s/60/60:,.0f} hours of aligned non-en clips\")\n",
    "print(f\"{zh_dur_s/60/60:,.0f} hours of aligned zh clips\")\n",
    "print(f\"{n_vocal_start:,} clips with start\", f\"{n_vocal_end:,} clips with end\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "0a8a1414-5989-41a2-819c-dedd4608a648",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:32:37.727994Z",
     "iopub.status.busy": "2024-09-05T19:32:37.727639Z",
     "iopub.status.idle": "2024-09-05T19:32:39.746728Z",
     "shell.execute_reply": "2024-09-05T19:32:39.746206Z",
     "shell.execute_reply.started": "2024-09-05T19:32:37.727975Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "plt.hist(segment_durations, bins=50, edgecolor=\"black\")\n",
    "plt.title(\"Distribution of Segment Durations\", fontsize=16)\n",
    "plt.xlabel(\"Duration (seconds)\", fontsize=12)\n",
    "plt.ylabel(\"Frequency\", fontsize=12)\n",
    "plt.grid(True, linestyle=\"--\", alpha=0.7)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "049a6d3f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:32:39.748159Z",
     "iopub.status.busy": "2024-09-05T19:32:39.747740Z",
     "iopub.status.idle": "2024-09-05T19:32:40.973034Z",
     "shell.execute_reply": "2024-09-05T19:32:40.972522Z",
     "shell.execute_reply.started": "2024-09-05T19:32:39.748141Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "mean_score = np.mean(clip_scores)\n",
    "std_score = np.std(clip_scores)\n",
    "p10 = np.percentile(clip_scores, 10)\n",
    "p20 = np.percentile(clip_scores, 20)\n",
    "p30 = np.percentile(clip_scores, 30)\n",
    "plt.hist(clip_scores, bins=np.linspace(-2, 2, 100), edgecolor=\"black\")\n",
    "plt.title(\n",
    "    f\"Distribution of Clip Scores\\nMean: {mean_score:.2f}, Std: {std_score:.2f}\\n\"\n",
    "    f\"P10: {p10:.2f}, P20: {p20:.2f}, P30: {p30:.2f}\",\n",
    "    fontsize=16,\n",
    ")\n",
    "plt.xlabel(\"Score\", fontsize=12)\n",
    "plt.ylabel(\"Frequency\", fontsize=12)\n",
    "plt.grid(True, linestyle=\"--\", alpha=0.7)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "2227b154-01a6-41fb-9735-a313658b6d81",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:32:45.224343Z",
     "iopub.status.busy": "2024-09-05T19:32:45.224033Z",
     "iopub.status.idle": "2024-09-05T19:33:14.563000Z",
     "shell.execute_reply": "2024-09-05T19:33:14.562366Z",
     "shell.execute_reply.started": "2024-09-05T19:32:45.224325Z"
    }
   },
   "outputs": [],
   "source": [
    "write_jsonl(metas, os.path.join(METAS_DIR, f\"genius_hq_v8_t3.jsonl\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "a3b95a12",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-01-19T20:33:29.353678Z",
     "start_time": "2024-01-19T20:33:29.307081Z"
    },
    "execution": {
     "iopub.execute_input": "2024-09-05T19:33:14.564370Z",
     "iopub.status.busy": "2024-09-05T19:33:14.564098Z",
     "iopub.status.idle": "2024-09-05T19:33:14.566810Z",
     "shell.execute_reply": "2024-09-05T19:33:14.566398Z",
     "shell.execute_reply.started": "2024-09-05T19:33:14.564353Z"
    }
   },
   "outputs": [],
   "source": [
    "# with open(\"/app/suno/data/preprocessing/meta_cutoff_freq.json\", \"r\") as fp:\n",
    "#     meta_cutoff_freq = json.load(fp)\n",
    "# selected_cutoffs = []\n",
    "# for m in metas:\n",
    "#     cutoff_freq = meta_cutoff_freq.get(m[\"id\"])\n",
    "#     selected_cutoffs.append(cutoff_freq)\n",
    "# import matplotlib.pyplot as plt\n",
    "# plt.clf()\n",
    "# plt.hist(selected_cutoffs, bins=list(range(0, 22000, 100)))\n",
    "# plt.text(0.1, 0.8, \"\\n\".join(f\"{100 * x} %: {np.quantile(selected_cutoffs, x):.1f}\" for x in [0.1, 0.15, 0.2, 0.3]))\n",
    "# plt.xlabel(\"99% roll_off_median, hz\")\n",
    "# plt.ylabel(\"number of genius linked audios\")\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a54c6a3",
   "metadata": {},
   "source": [
    "## youtube_music"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "7386772b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:33:14.567514Z",
     "iopub.status.busy": "2024-09-05T19:33:14.567376Z",
     "iopub.status.idle": "2024-09-05T19:33:14.604435Z",
     "shell.execute_reply": "2024-09-05T19:33:14.604033Z",
     "shell.execute_reply.started": "2024-09-05T19:33:14.567500Z"
    }
   },
   "outputs": [],
   "source": [
    "# victor_tagged_metas = read_from_s3(\"s3://suno-data/datasets/harvest/ytm2/ytm_tagged_songs_0731.jsonl\", read_f=read_jsonl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "cf38bda5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-04T21:24:06.175853Z",
     "iopub.status.busy": "2024-09-04T21:24:06.175557Z",
     "iopub.status.idle": "2024-09-04T21:25:06.439421Z",
     "shell.execute_reply": "2024-09-04T21:25:06.438814Z",
     "shell.execute_reply.started": "2024-09-04T21:24:06.175838Z"
    }
   },
   "outputs": [],
   "source": [
    "ytm_base_metas = read_from_s3(\n",
    "    \"s3://suno-data/datasets/bundles/v1/youtube_music/metas.jsonl\", read_f=read_jsonl\n",
    ")\n",
    "# TODO: use hoot/whisper on lyrics to filter\n",
    "ytm_aligned_lyrics = read_jsonl(\n",
    "    os.path.join(TMP_DIR, f\"ytm_alignments_{prod_tag_version}.jsonl\")\n",
    ")\n",
    "ytm_aligned_lyrics_map = {k: v for k, v in ytm_aligned_lyrics}\n",
    "del ytm_aligned_lyrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "384dac11",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:33:36.007742Z",
     "iopub.status.busy": "2024-09-05T19:33:36.007118Z",
     "iopub.status.idle": "2024-09-05T19:33:38.295526Z",
     "shell.execute_reply": "2024-09-05T19:33:38.294937Z",
     "shell.execute_reply.started": "2024-09-05T19:33:36.007723Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2,101,712 clips, 650,030 aligned\n",
      "927,170 music clips, percentage 0.44\n"
     ]
    }
   ],
   "source": [
    "print(f\"{len(ytm_base_metas):,} clips, {len(ytm_aligned_lyrics_map):,} aligned\")\n",
    "allowed_ids = set()\n",
    "for m in ytm_base_metas:\n",
    "    if m[\"view_count\"] < 100000:\n",
    "        continue\n",
    "    if re.search(r\"\\blive\\b\", m[\"title\"], flags=re.IGNORECASE):\n",
    "        continue\n",
    "    allowed_ids.add(m[\"id\"])\n",
    "print(\n",
    "    f\"{len(allowed_ids):,} music clips, percentage {len(allowed_ids)/len(ytm_base_metas):.2f}\"\n",
    ")\n",
    "# 2,101,712 clips\n",
    "# 2,013,545 music clips\n",
    "# 2,101,712 clips, 548,042 aligned\n",
    "# 1,917,595 music clips, percentage 0.91\n",
    "# 2,101,712 clips, 650,030 aligned\n",
    "# 1,673,260 music clips, percentage 0.80\n",
    "# 2,101,712 clips, 650,030 aligned\n",
    "# 927,170 music clips, percentage 0.44"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "16ab2e70-f3b0-45fb-ad35-3e2d82f7a492",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:33:39.271557Z",
     "iopub.status.busy": "2024-09-05T19:33:39.271188Z",
     "iopub.status.idle": "2024-09-05T19:33:40.433626Z",
     "shell.execute_reply": "2024-09-05T19:33:40.433121Z",
     "shell.execute_reply.started": "2024-09-05T19:33:39.271538Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counter({'hip-hop': 133254, 'dance_&_electronic': 92925, 'latin': 53905, 'bollywood_&_indian': 51323, 'indie_&_alternative': 50815, 'decades': 50286, 'rock': 48758, 'folk_&_acoustic': 45138, 'family': 43428, 'country_&_americana': 35466, 'brazilian': 32827, 'metal': 32648, 'r&b_&_soul': 32235, 'christian_&_gospel': 31110, 'arabic': 29347, 'jazz': 27337, 'j-pop': 23883, 'reggae_&_caribbean': 21130, 'blues': 21087, 'k-pop': 19323, 'african': 18356, 'classical': 17896, 'pop': 17703, 'mandopop_&_cantopop': 16764, 'soundtracks_&_musicals': 15245, 'opm': 10064})\n"
     ]
    }
   ],
   "source": [
    "from collections import Counter\n",
    "\n",
    "c = Counter()\n",
    "for m in ytm_base_metas:\n",
    "    if \"genre_guess\" in m:\n",
    "        c[m[\"genre_guess\"]] += 1\n",
    "print(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "d183738b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:33:47.405001Z",
     "iopub.status.busy": "2024-09-05T19:33:47.404594Z",
     "iopub.status.idle": "2024-09-05T19:34:05.266501Z",
     "shell.execute_reply": "2024-09-05T19:34:05.265909Z",
     "shell.execute_reply.started": "2024-09-05T19:33:47.404981Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████| 2101712/2101712 [00:17<00:00, 122593.43it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "503,264 entries\n",
      "266,834 entries with lyrics\n"
     ]
    }
   ],
   "source": [
    "metas = []\n",
    "seen_ids = set()\n",
    "for m in tqdm.tqdm(ytm_base_metas):\n",
    "    if m[\"id\"] in seen_ids or m[\"id\"] not in allowed_ids:\n",
    "        continue\n",
    "    new_m = {\n",
    "        \"id\": m[\"id\"],\n",
    "        \"views\": m[\"view_count\"],\n",
    "    }\n",
    "    # get tags\n",
    "    if \"genre_guess\" not in m:\n",
    "        continue\n",
    "    tags = [\n",
    "        m.get(\"genre_guess\"),\n",
    "        m.get(\"mood_guess\"),\n",
    "    ]\n",
    "    tags = [t_clean for t in tags if len(t_clean := _clean_tag(t)) > 0]\n",
    "    if len(tags) > 0:\n",
    "        new_m[\"tags\"] = list(set(tags))\n",
    "    # get private tags\n",
    "    private_tags = [\n",
    "        m.get(\"title\"),\n",
    "        m.get(\"artists\"),\n",
    "        m.get(\"album\"),\n",
    "    ]\n",
    "    private_tags = [t_clean for t in private_tags if len(t_clean := _clean_tag(t)) > 0]\n",
    "    private_tags += tags\n",
    "    if len(private_tags) > 0:\n",
    "        new_m[\"private_tags\"] = list(set(private_tags))\n",
    "    #     # get lyrics\n",
    "    #     if (\n",
    "    #         \"lang_guess\" in m and\n",
    "    #         \"lyrics\" in m and\n",
    "    # #         m[\"lang_guess\"].lower() != \"en\" and\n",
    "    # #         _get_text_lang(m[\"lyrics\"])[1] != \"en\" and\n",
    "    # #         len(m[\"lang_guess\"].lower().split(\"-\")[0]) >= 2 and\n",
    "    #         len(m[\"lyrics\"]) <= 5120 # empirically verified\n",
    "    #     ):\n",
    "    #         use_lyrics = False\n",
    "    #         if m[\"lang_guess\"][:2] in (\"zh\", \"ja\"):\n",
    "    #             if len(m[\"lyrics\"]) < 256:\n",
    "    #                 use_lyrics = True\n",
    "    #         else:\n",
    "    #             if len(m[\"lyrics\"]) < 512:\n",
    "    #                 use_lyrics = True\n",
    "    #         if use_lyrics:\n",
    "    #             lang_guess_1 = m[\"lang_guess\"].split(\"-\")[0].lower()\n",
    "    #             lang_guess_2 = _get_text_lang(m[\"lyrics\"])[1].split(\"-\")[0].lower()\n",
    "    #             if (lang_guess_1 == \"en\") == (lang_guess_2 == \"en\"):\n",
    "    #                 # make sure they agree on english or not\n",
    "    #                 lyrics = m[\"lyrics\"]\n",
    "    #                 new_m[\"text\"] = m[\"lyrics\"]\n",
    "    #                 new_m[\"lang\"] = lang_guess_1\n",
    "    if \"lang_guess\" in m and \"lyrics\" in m and m[\"id\"] in ytm_aligned_lyrics_map:\n",
    "        text_segments = []\n",
    "        for mm in ytm_aligned_lyrics_map[m[\"id\"]]:\n",
    "            text_segments.append(\n",
    "                {\n",
    "                    \"text\": remove_speakers(mm[\"text\"]),\n",
    "                    \"private_text\": mm[\"text\"],\n",
    "                    \"start_s\": mm[\"start_s\"],\n",
    "                    \"end_s\": mm[\"end_s\"],\n",
    "                    \"vocal_start_s\": mm[\"vocal_start_s\"],\n",
    "                    \"vocal_end_s\": mm[\"vocal_end_s\"],\n",
    "                    \"line_start_s\": mm[\"line_start_s\"],\n",
    "                    \"line_end_s\": mm[\"line_end_s\"],\n",
    "                }\n",
    "            )\n",
    "        new_m[\"text_segments\"] = text_segments\n",
    "        new_m[\"text\"] = remove_speakers(m[\"lyrics\"])\n",
    "        lang_guess_1 = m[\"lang_guess\"].split(\"-\")[0].lower()\n",
    "        new_m[\"lang\"] = lang_guess_1\n",
    "\n",
    "    metas.append(new_m)\n",
    "    seen_ids.add(m[\"id\"])\n",
    "print(f\"{len(metas):,} entries\")\n",
    "print(f\"{len([m for m in metas if 'text' in m]):,} entries with lyrics\")\n",
    "# 2,013,545 entries\n",
    "# 674,466 entries with lyrics\n",
    "# v6\n",
    "# 922,962 entries\n",
    "# 448,251 entries with lyrics\n",
    "# v8\n",
    "# 922,962 entries\n",
    "# 452,500 entries with lyrics\n",
    "# v8\n",
    "# 887,045 total clips\n",
    "# 374,575 aligned clips\n",
    "# v8 t2\n",
    "# 681,401 entries\n",
    "# 355,964 entries with lyrics\n",
    "# v8 t3\n",
    "# 503,264 entries\n",
    "# 266,834 entries with lyrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "80e38852-212e-4531-992c-5e43c713cb43",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:34:05.267691Z",
     "iopub.status.busy": "2024-09-05T19:34:05.267516Z",
     "iopub.status.idle": "2024-09-05T19:34:06.124422Z",
     "shell.execute_reply": "2024-09-05T19:34:06.123852Z",
     "shell.execute_reply.started": "2024-09-05T19:34:05.267674Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "503,264 total clips\n",
      "266,834 aligned clips\n",
      "164,517 en clips\n",
      "102,317 foreign clips\n",
      "10,020 hours of aligned en clips\n",
      "6,336 hours of aligned non-en clips\n",
      "281 hours of aligned zh clips\n",
      "266,834 clips with start 248,460 clips with end\n"
     ]
    }
   ],
   "source": [
    "print(f\"{len(metas):,} total clips\")\n",
    "print(f\"{len([m for m in metas if 'text_segments' in m]):,} aligned clips\")\n",
    "print(f\"{len([m for m in metas if 'text' in m if m.get('lang') == 'en']):,} en clips\")\n",
    "print(\n",
    "    f\"{len([m for m in metas if 'text' in m if m.get('lang') != 'en']):,} foreign clips\"\n",
    ")\n",
    "en_dur_s = 0\n",
    "non_en_dur_s = 0\n",
    "zh_dur_s = 0\n",
    "n_vocal_start = 0\n",
    "n_vocal_end = 0\n",
    "for m in metas:\n",
    "    for mm in m.get(\"text_segments\", []):\n",
    "        time_diff = mm[\"end_s\"] - mm[\"start_s\"]\n",
    "        if time_diff > 240.00:\n",
    "            print(\"WTF\", time_diff)\n",
    "        if m.get(\"lang\") == \"en\":\n",
    "            en_dur_s += time_diff\n",
    "        else:\n",
    "            non_en_dur_s += time_diff\n",
    "        if m.get(\"lang\") == \"zh\":\n",
    "            zh_dur_s += time_diff\n",
    "        if mm[\"vocal_start_s\"] is not None:\n",
    "            n_vocal_start += 1\n",
    "        if mm[\"vocal_end_s\"] is not None:\n",
    "            n_vocal_end += 1\n",
    "print(f\"{en_dur_s/60/60:,.0f} hours of aligned en clips\")\n",
    "print(f\"{non_en_dur_s/60/60:,.0f} hours of aligned non-en clips\")\n",
    "print(f\"{zh_dur_s/60/60:,.0f} hours of aligned zh clips\")\n",
    "print(f\"{n_vocal_start:,} clips with start\", f\"{n_vocal_end:,} clips with end\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "d35468bd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:34:43.997046Z",
     "iopub.status.busy": "2024-09-05T19:34:43.996404Z",
     "iopub.status.idle": "2024-09-05T19:35:04.475962Z",
     "shell.execute_reply": "2024-09-05T19:35:04.475352Z",
     "shell.execute_reply.started": "2024-09-05T19:34:43.997026Z"
    }
   },
   "outputs": [],
   "source": [
    "write_jsonl(metas, os.path.join(METAS_DIR, f\"youtube_music_{prod_tag_version}_t3.jsonl\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "abac17f8-7efe-405c-b6ca-71a6a44bb50c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "14481447-5e6e-4e80-8f38-af0f8eabdece",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "2e349879",
   "metadata": {},
   "source": [
    "## freesound"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1e4b5427",
   "metadata": {},
   "outputs": [],
   "source": [
    "base_metas = read_from_s3(\n",
    "    \"s3://suno-data/datasets/bundles/v1/freesound/metas.jsonl\", read_f=read_jsonl\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "de99a839",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "510,491 clips\n",
      "2,993 hours of audio\n",
      "34,225 music clips\n",
      "411 hours of music\n"
     ]
    }
   ],
   "source": [
    "print(f\"{len(base_metas):,} clips\")\n",
    "print(f\"{np.sum([m['duration_s'] for m in base_metas])/60/60:,.0f} hours of audio\")\n",
    "needle_tags = [\n",
    "    \"music\",\n",
    "    \"synth\",\n",
    "    \"bpm\",\n",
    "    \"drums\",\n",
    "    \"drum-loop\",\n",
    "    \"guitar\",\n",
    "    \"piano\",\n",
    "    \"soundtrack\",\n",
    "    \"song\",\n",
    "    \"violin\",\n",
    "    \"melody\",\n",
    "    \"bassline\",\n",
    "]\n",
    "\n",
    "needle_re = re.compile(\n",
    "    r\"(\\b\" + r\"\\b)|(\\b\".join([s.lower() for s in needle_tags]) + r\"\\b)\"\n",
    ")\n",
    "l = []\n",
    "music_ids = set()\n",
    "for m in base_metas:\n",
    "    if m[\"duration_s\"] < 10:\n",
    "        continue\n",
    "    tag_str = \" \".join(m[\"tags\"]).lower()\n",
    "    if needle_re.search(tag_str):\n",
    "        l.append(m[\"duration_s\"])\n",
    "        music_ids.add(m[\"id\"])\n",
    "print(f\"{len(music_ids):,} music clips\")\n",
    "print(f\"{np.sum(l)/60/60:,.0f} hours of music\")\n",
    "# 510,491 clips\n",
    "# 2,993 hours of audio\n",
    "# 34,225 music clips\n",
    "# 411 hours of music"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ff92dfed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "34,225 entries\n"
     ]
    }
   ],
   "source": [
    "metas = []\n",
    "seen_ids = set()\n",
    "for m in base_metas:\n",
    "    if m[\"id\"] in seen_ids or m[\"id\"] not in music_ids:\n",
    "        continue\n",
    "    new_m = {\"id\": m[\"id\"]}\n",
    "    tags = [\n",
    "        _clean_tag(m.get(\"cap1\")),\n",
    "        _clean_tag(m.get(\"cap2\")),\n",
    "    ]\n",
    "    tags.extend([_clean_tag(s) for s in m.get(\"tags\", [])])\n",
    "    tags = [t for t in tags if len(t) > 0]\n",
    "    if len(tags) > 0:\n",
    "        new_m[\"tags\"] = list(set(tags))\n",
    "    metas.append(new_m)\n",
    "    seen_ids.add(m[\"id\"])\n",
    "print(f\"{len(metas):,} entries\")\n",
    "# 34,225 entries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "6b03ad9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "write_jsonl(metas, os.path.join(METAS_DIR, \"freesound.jsonl\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d61eb037",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "358398cd",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "fba8655f",
   "metadata": {},
   "source": [
    "## jamendo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "46ba131e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:35:56.980793Z",
     "iopub.status.busy": "2024-09-05T19:35:56.980464Z",
     "iopub.status.idle": "2024-09-05T19:35:57.830910Z",
     "shell.execute_reply": "2024-09-05T19:35:57.830289Z",
     "shell.execute_reply.started": "2024-09-05T19:35:56.980774Z"
    }
   },
   "outputs": [],
   "source": [
    "jam_base_metas = read_from_s3(\n",
    "    \"s3://suno-data/datasets/bundles/v1/jamendo/metas.jsonl\", read_f=read_jsonl\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "7c0cf8bd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:35:57.832120Z",
     "iopub.status.busy": "2024-09-05T19:35:57.831940Z",
     "iopub.status.idle": "2024-09-05T19:35:58.389856Z",
     "shell.execute_reply": "2024-09-05T19:35:58.389285Z",
     "shell.execute_reply.started": "2024-09-05T19:35:57.832101Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "55,609 entries\n"
     ]
    }
   ],
   "source": [
    "jam_metas = []\n",
    "seen_ids = set()\n",
    "for m in jam_base_metas:\n",
    "    if m[\"id\"] in seen_ids:\n",
    "        continue\n",
    "    new_m = {\"id\": m[\"id\"]}\n",
    "    tags = []\n",
    "    tags.extend([_clean_tag(s) for s in m.get(\"genre\", \"\").split(\";\")])\n",
    "    tags.extend([_clean_tag(s) for s in m.get(\"instrument\", \"\").split(\";\")])\n",
    "    tags.extend([_clean_tag(s) for s in m.get(\"mood/theme\", \"\").split(\";\")])\n",
    "    tags = [t for t in tags if len(t) > 0]\n",
    "    if len(tags) > 0:\n",
    "        new_m[\"tags\"] = list(set(tags))\n",
    "    jam_metas.append(new_m)\n",
    "    seen_ids.add(m[\"id\"])\n",
    "print(f\"{len(jam_metas):,} entries\")\n",
    "# 55,609 entries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "e8d95346",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:36:00.652780Z",
     "iopub.status.busy": "2024-09-05T19:36:00.652434Z",
     "iopub.status.idle": "2024-09-05T19:36:00.848748Z",
     "shell.execute_reply": "2024-09-05T19:36:00.848275Z",
     "shell.execute_reply.started": "2024-09-05T19:36:00.652760Z"
    }
   },
   "outputs": [],
   "source": [
    "write_jsonl(jam_metas, os.path.join(METAS_DIR, \"jamendo_t3.jsonl\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d6297c0a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "52809176",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1c5cf161",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "335506ec",
   "metadata": {},
   "source": [
    "## imslp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1e7b4a80",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:07:50.339799Z",
     "start_time": "2024-02-16T04:07:46.992937Z"
    }
   },
   "outputs": [],
   "source": [
    "base_metas_imslp = read_from_s3(\n",
    "    \"s3://suno-data/datasets/bundles/v1/imslp/metas.jsonl\", read_f=read_jsonl\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "de23d794",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:07:50.344968Z",
     "start_time": "2024-02-16T04:07:50.342200Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WTF\n"
     ]
    }
   ],
   "source": [
    "print(\"WTF\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f14670d9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:08:25.072107Z",
     "start_time": "2024-02-16T04:08:22.877980Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "278,620 clips\n",
      "208,971 music clips\n",
      "22.251300277777776 khr\n"
     ]
    }
   ],
   "source": [
    "print(f\"{len(base_metas_imslp):,} clips\")\n",
    "blocked_tags = [\"vocal\", \"chorus\"]\n",
    "blocked_re = re.compile(r\"(\" + r\")|(\".join([s.lower() for s in blocked_tags]) + r\")\")\n",
    "allowed_ids = set()\n",
    "total_duration = 0\n",
    "durations = []\n",
    "for m in base_metas_imslp:\n",
    "    tag_str = (\n",
    "        m.get(\"title\", \"\")\n",
    "        + \" \"\n",
    "        + m.get(\"track_title\", \"\")\n",
    "        + \" \"\n",
    "        + m.get(\"composer\", \"\")\n",
    "        + \" \"\n",
    "        + m.get(\"language\", \"\")\n",
    "        + \" \"\n",
    "        + m.get(\"recording_category\", \"\")\n",
    "        + \" \"\n",
    "        + m.get(\"genre\", \"\")\n",
    "        + \" \"\n",
    "        + m.get(\"instruments\", \"\")\n",
    "    ).lower()\n",
    "    total_duration += m[\"duration_s\"]\n",
    "    durations.append(m[\"duration_s\"])\n",
    "    if blocked_re.search(tag_str):\n",
    "        continue\n",
    "    if len(normalize_whitespace(tag_str)) == 0:\n",
    "        continue\n",
    "    allowed_ids.add(m[\"id\"])\n",
    "print(f\"{len(allowed_ids):,} music clips\")\n",
    "print(f\"{total_duration / 3600 / 1000} khr\")\n",
    "# 278,620 clips\n",
    "# 274,275 music clips"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "79e63a58",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:08:30.647815Z",
     "start_time": "2024-02-16T04:08:29.692813Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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44w2nfc+ePfJ6vUpOTna2RUdHq3PnzsrJyZEk5eTkKCYmxgk4kpScnKzQ0FDl5uY6Nd26dXMCjiSlpKSooKBAR44cKbdvJSUl8vl8fi8AAGCngIecL7/8UjNmzNDVV1+t5cuXa+jQoXrsscc0e/ZsSZLX65Ukud1uv8+53W6nzev1KjY21q89LCxMDRs29Kspbx9nf8e5Jk6cqOjoaOcVHx//C48WAABUVwEPOWVlZerYsaMmTJigDh06aMiQIRo8eLBmzpwZ6K+6YGPHjlVxcbHz2r9/f7C7BAAAKknA75PTpEkTtW7d2m9bq1at9I9//EOS5PF4JEmFhYVq0qSJU1NYWKjrrrvOqTl06JDfPk6fPq3Dhw87n/d4PCosLPSrOfP+TM25XC6XXC7XRR4ZbFfe+ifW6QBAzRXwmZwuXbqooKDAb9uuXbvUrFkzSVJCQoI8Ho+ys7Oddp/Pp9zcXCUlJUmSkpKSVFRUpLy8PKdmxYoVKisrU+fOnZ2a1atX69SpU05NVlaWWrRo4XclFwAAuDQFPOQ8/vjjWrdunSZMmKB//etfmjt3rl5//XWlp6dLkkJCQpSRkaHnn39eH3zwgbZs2aL+/fsrLi5OvXr1kvTDzM/tt9+uwYMHa/369VqzZo2GDRumPn36KC4uTpJ03333KTw8XIMGDdK2bds0f/58TZs2TSNGjAj0IQEAgBoo4Kerrr/+ei1cuFBjx47Vs88+q4SEBL300ktKS0tzap588kkdP35cQ4YMUVFRkbp27aply5YpIiLCqZkzZ46GDRum7t27KzQ0VL1799b06dOd9ujoaH388cdKT09Xp06d1LhxY2VmZvrdSwcAAFy6An6fnJqE++Tg57AmBwCqn6DdJwcAAKA6IOQAAAArEXIAAICVCDkAAMBKhBwAAGAlQg4AALASIQcAAFiJkAMAAKxEyAEAAFYi5AAAACsRcgAAgJUIOQAAwEqEHAAAYCVCDgAAsBIhBwAAWImQAwAArETIAQAAViLkAAAAKxFyAACAlQg5AADASoQcAABgJUIOAACwUliwOwB/zccsCXYXAACwAjM5AADASoQcAABgJUIOAACwEiEHAABYiZADAACsRMgBAABWIuQAAAArEXIAAICVuBkg8BPKuznj3kmpQegJAOBCMZMDAACsRMgBAABWIuQAAAArEXIAAICVCDkAAMBKhBwAAGAlQg4AALASIQcAAFiJkAMAAKxEyAEAAFbisQ7ABTr3UQ885gEAqidmcgAAgJUIOQAAwEqEHAAAYCXW5AC/0LlrdCTW6QBAdcBMDgAAsBIhBwAAWImQAwAArETIAQAAViLkAAAAKxFyAACAlQg5AADASoQcAABgJUIOAACwEiEHAABYiZADAACsRMgBAABWIuQAAAAr8RRyoBKc+2RynkoOAFWv0mdyJk2apJCQEGVkZDjbTpw4ofT0dDVq1Ej16tVT7969VVhY6Pe5ffv2KTU1VXXq1FFsbKxGjRql06dP+9V88skn6tixo1wul6666irNmjWrsg8HAADUEJUacjZs2KC//vWvuvbaa/22P/744/rwww/17rvvatWqVTpw4IDuuecep720tFSpqak6efKk1q5dq9mzZ2vWrFnKzMx0avbs2aPU1FT9+te/Vn5+vjIyMvTQQw9p+fLllXlIAACghqi0kHPs2DGlpaXpjTfeUIMGDZztxcXFevPNN/XCCy/otttuU6dOnfTWW29p7dq1WrdunSTp448/1vbt2/X222/ruuuu0x133KHnnntOr776qk6ePClJmjlzphISEjR16lS1atVKw4YN0+9+9zu9+OKLlXVIAACgBqm0kJOenq7U1FQlJyf7bc/Ly9OpU6f8trds2VJNmzZVTk6OJCknJ0ft2rWT2+12alJSUuTz+bRt2zan5tx9p6SkOPsoT0lJiXw+n98LAADYqVIWHs+bN0+fffaZNmzYcF6b1+tVeHi4YmJi/La73W55vV6n5uyAc6b9TNtP1fh8Pn3//feKjIw877snTpyoZ5555qKPCwAA1BwBn8nZv3+/hg8frjlz5igiIiLQu/9Fxo4dq+LiYue1f//+YHcJAABUkoCHnLy8PB06dEgdO3ZUWFiYwsLCtGrVKk2fPl1hYWFyu906efKkioqK/D5XWFgoj8cjSfJ4POddbXXm/c/VREVFlTuLI0kul0tRUVF+LwAAYKeAn67q3r27tmzZ4rdt4MCBatmypUaPHq34+HjVrl1b2dnZ6t27tySpoKBA+/btU1JSkiQpKSlJ48eP16FDhxQbGytJysrKUlRUlFq3bu3ULF261O97srKynH0A1cm5982RuHcOAFS2gIec+vXrq23btn7b6tatq0aNGjnbBw0apBEjRqhhw4aKiorSH//4RyUlJenGG2+UJPXo0UOtW7dWv379NHnyZHm9Xv3pT39Senq6XC6XJOmRRx7RK6+8oieffFIPPvigVqxYoQULFmjJkvN/TAAAwKUnKHc8fvHFFxUaGqrevXurpKREKSkpeu2115z2WrVqafHixRo6dKiSkpJUt25dDRgwQM8++6xTk5CQoCVLlujxxx/XtGnTdMUVV+hvf/ubUlJSgnFIAACgmgkxxphgdyJYfD6foqOjVVxcXG3W55R3WgN24nQVAFyciv5+84BOAABgJUIOAACwEiEHAABYiZADAACsRMgBAABWIuQAAAArBeU+OQDOv10Al5QDQGAxkwMAAKxEyAEAAFYi5AAAACuxJgeoJnhSOQAEFiEniHhOFQAAlYfTVQAAwEqEHAAAYCVCDgAAsBJrcoAahMXJAFBxhBygGmNxOgBcPE5XAQAAKxFyAACAlQg5AADASoQcAABgJUIOAACwEiEHAABYiZADAACsRMgBAABWIuQAAAArEXIAAICVCDkAAMBKhBwAAGAlQg4AALASIQcAAFiJkAMAAKxEyAEAAFYi5AAAACuFBbsDAH6Z5mOW/GzN3kmpVdATAKhemMkBAABWIuQAAAArEXIAAICVCDkAAMBKhBwAAGAlQg4AALASl5ADl4DyLjPnsnIAtmMmBwAAWImQAwAArETIAQAAVmJNDnCJOnedDmt0ANiGmRwAAGAlQg4AALASIQcAAFiJkAMAAKxEyAEAAFYi5AAAACtxCTkASTz6AYB9mMkBAABWIuQAAAArcboKwI+qyF2RuXMygOqKmRwAAGAlQg4AALASIQcAAFiJkAMAAKzEwmMAFVbevXQAoLoK+EzOxIkTdf3116t+/fqKjY1Vr169VFBQ4Fdz4sQJpaenq1GjRqpXr5569+6twsJCv5p9+/YpNTVVderUUWxsrEaNGqXTp0/71XzyySfq2LGjXC6XrrrqKs2aNSvQhwMAAGqogIecVatWKT09XevWrVNWVpZOnTqlHj166Pjx407N448/rg8//FDvvvuuVq1apQMHDuiee+5x2ktLS5WamqqTJ09q7dq1mj17tmbNmqXMzEynZs+ePUpNTdWvf/1r5efnKyMjQw899JCWL18e6EMCAAA1UIgxxlTmF/znP/9RbGysVq1apW7duqm4uFiXXXaZ5s6dq9/97neSpJ07d6pVq1bKycnRjTfeqI8++kh33XWXDhw4ILfbLUmaOXOmRo8erf/85z8KDw/X6NGjtWTJEm3dutX5rj59+qioqEjLli0rty8lJSUqKSlx3vt8PsXHx6u4uFhRUVGVOArlY+ofNuI+OQAqm8/nU3R09M/+flf6wuPi4mJJUsOGDSVJeXl5OnXqlJKTk52ali1bqmnTpsrJyZEk5eTkqF27dk7AkaSUlBT5fD5t27bNqTl7H2dqzuyjPBMnTlR0dLTzio+PD8xBAnA0H7PkvBcABEOlhpyysjJlZGSoS5cuatu2rSTJ6/UqPDxcMTExfrVut1ter9epOTvgnGk/0/ZTNT6fT99//325/Rk7dqyKi4ud1/79+3/xMQIAgOqpUq+uSk9P19atW/Xpp59W5tdUmMvlksvlCnY3AABAFai0mZxhw4Zp8eLFWrlypa644gpnu8fj0cmTJ1VUVORXX1hYKI/H49Sce7XVmfc/VxMVFaXIyMhAHw4AAKhhAh5yjDEaNmyYFi5cqBUrVighIcGvvVOnTqpdu7ays7OdbQUFBdq3b5+SkpIkSUlJSdqyZYsOHTrk1GRlZSkqKkqtW7d2as7ex5maM/sAAACXtoBfXfXoo49q7ty5ev/999WiRQtne3R0tDPDMnToUC1dulSzZs1SVFSU/vjHP0qS1q5dK+mHS8ivu+46xcXFafLkyfJ6verXr58eeughTZgwQdIPl5C3bdtW6enpevDBB7VixQo99thjWrJkiVJSUirU14quzq4sLMjEpYyrsABcrKBdXTVjxgwVFxfr1ltvVZMmTZzX/PnznZoXX3xRd911l3r37q1u3brJ4/Hovffec9pr1aqlxYsXq1atWkpKStL999+v/v3769lnn3VqEhIStGTJEmVlZal9+/aaOnWq/va3v1U44AAAALtV+n1yqjNmcoDqg5kdABVVbe6TAwAAEAyEHAAAYCWeQg6gWijv9C2nsAD8EszkAAAAKzGTA6DaOnd2h5kdABeCmRwAAGAlQg4AALASIQcAAFiJNTlViJv/Ab8MV2ABuBDM5AAAACsRcgAAgJU4XQWgRuMycwA/hpkcAABgJWZyAFiFxckAzmAmBwAAWImQAwAArETIAQAAVmJNDgDrcQUWcGliJgcAAFiJkAMAAKxEyAEAAFYi5AAAACsRcgAAgJUIOQAAwEpcQl5Jyru1PIDqoaJ/n1xqDtRszOQAAAArMZMDAD+CmwgCNRszOQAAwEqEHAAAYCVCDgAAsBJrcgCggipyVRbrdoDqg5kcAABgJUIOAACwEiEHAABYiTU5ABBArNsBqg9mcgAAgJUIOQAAwEqEHAAAYCXW5ABAFStv3Q7rdIDAYyYHAABYiZkcAKgGuCoLCDxmcgAAgJWYyQGAGoK1PMCFIeQAQA12bvAh9AD/xekqAABgJWZyAMAinNIC/ouQAwDgtBesRMgBAMtdTICpyIwQs0ao7gg5AHCJqcg9eQAbEHIAAAHD7A6qE0IOAKBCqnIGiLCEQCDkAAAqVUXWBHEKDZWBkAMAqFIXG2i4AgwXipADAKiROKWFn0PIAQBYg6e542yEHADAJeViT5cRjmoeQg4AABVwMeGIYBRchBwAACoJ64aCi5ADAEAVuthL6glHF46QAwBAEFX0NNjFLKoO1Pqjmvossxofcl599VVNmTJFXq9X7du318svv6wbbrgh2N0CAKDKBeqmihXZT024gWNosDvwS8yfP18jRozQn//8Z3322Wdq3769UlJSdOjQoWB3DQAABFmNDjkvvPCCBg8erIEDB6p169aaOXOm6tSpo7///e/B7hoAAAiyGnu66uTJk8rLy9PYsWOdbaGhoUpOTlZOTk65nykpKVFJSYnzvri4WJLk8/kC3r+yku8Cvk8AAGqSyvh9PXu/xpifrKuxIeebb75RaWmp3G6333a3262dO3eW+5mJEyfqmWeeOW97fHx8pfQRAIBLWfRLlbv/o0ePKjo6+kfba2zIuRhjx47ViBEjnPdlZWU6fPiwGjVqpJCQkIB9j8/nU3x8vPbv36+oqKiA7ddGjFXFMVYXhvGqOMaq4hiriqvMsTLG6OjRo4qLi/vJuhobcho3bqxatWqpsLDQb3thYaE8Hk+5n3G5XHK5XH7bYmJiKquLioqK4o+gghirimOsLgzjVXGMVcUxVhVXWWP1UzM4Z9TYhcfh4eHq1KmTsrOznW1lZWXKzs5WUlJSEHsGAACqgxo7kyNJI0aM0IABA5SYmKgbbrhBL730ko4fP66BAwcGu2sAACDIanTI+cMf/qD//Oc/yszMlNfr1XXXXadly5adtxi5qrlcLv35z38+79QYzsdYVRxjdWEYr4pjrCqOsaq46jBWIebnrr8CAACogWrsmhwAAICfQsgBAABWIuQAAAArEXIAAICVCDmV4NVXX1Xz5s0VERGhzp07a/369cHuUpWaOHGirr/+etWvX1+xsbHq1auXCgoK/GpOnDih9PR0NWrUSPXq1VPv3r3Pu7Hjvn37lJqaqjp16ig2NlajRo3S6dOnq/JQqtykSZMUEhKijIwMZxtj9V9ff/217r//fjVq1EiRkZFq166dNm7c6LQbY5SZmakmTZooMjJSycnJ2r17t98+Dh8+rLS0NEVFRSkmJkaDBg3SsWPHqvpQKl1paanGjRunhIQERUZG6sorr9Rzzz3n96yfS3W8Vq9erZ49eyouLk4hISFatGiRX3ugxuXzzz/XzTffrIiICMXHx2vy5MmVfWgB91NjderUKY0ePVrt2rVT3bp1FRcXp/79++vAgQN++wjqWBkE1Lx580x4eLj5+9//brZt22YGDx5sYmJiTGFhYbC7VmVSUlLMW2+9ZbZu3Wry8/PNnXfeaZo2bWqOHTvm1DzyyCMmPj7eZGdnm40bN5obb7zR3HTTTU776dOnTdu2bU1ycrLZtGmTWbp0qWncuLEZO3ZsMA6pSqxfv940b97cXHvttWb48OHOdsbqB4cPHzbNmjUzDzzwgMnNzTVffvmlWb58ufnXv/7l1EyaNMlER0ebRYsWmc2bN5vf/OY3JiEhwXz//fdOze23327at29v1q1bZ/75z3+aq666yvTt2zcYh1Spxo8fbxo1amQWL15s9uzZY959911Tr149M23aNKfmUh2vpUuXmqeeesq89957RpJZuHChX3sgxqW4uNi43W6TlpZmtm7dat555x0TGRlp/vrXv1bVYQbET41VUVGRSU5ONvPnzzc7d+40OTk55oYbbjCdOnXy20cwx4qQE2A33HCDSU9Pd96XlpaauLg4M3HixCD2KrgOHTpkJJlVq1YZY374w6hdu7Z59913nZodO3YYSSYnJ8cY88MfVmhoqPF6vU7NjBkzTFRUlCkpKanaA6gCR48eNVdffbXJysoyt9xyixNyGKv/Gj16tOnateuPtpeVlRmPx2OmTJnibCsqKjIul8u88847xhhjtm/fbiSZDRs2ODUfffSRCQkJMV9//XXldT4IUlNTzYMPPui37Z577jFpaWnGGMbrjHN/uAM1Lq+99ppp0KCB39/g6NGjTYsWLSr5iCpPeYHwXOvXrzeSzFdffWWMCf5YcboqgE6ePKm8vDwlJyc720JDQ5WcnKycnJwg9iy4iouLJUkNGzaUJOXl5enUqVN+49SyZUs1bdrUGaecnBy1a9fO78aOKSkp8vl82rZtWxX2vmqkp6crNTXVb0wkxupsH3zwgRITE/X73/9esbGx6tChg9544w2nfc+ePfJ6vX5jFR0drc6dO/uNVUxMjBITE52a5ORkhYaGKjc3t+oOpgrcdNNNys7O1q5duyRJmzdv1qeffqo77rhDEuP1YwI1Ljk5OerWrZvCw8OdmpSUFBUUFOjIkSNVdDRVr7i4WCEhIc5zIYM9VjX6jsfVzTfffKPS0tLz7rjsdru1c+fOIPUquMrKypSRkaEuXbqobdu2kiSv16vw8PDzHo7qdrvl9XqdmvLG8UybTebNm6fPPvtMGzZsOK+NsfqvL7/8UjNmzNCIESP0//7f/9OGDRv02GOPKTw8XAMGDHCOtbyxOHusYmNj/drDwsLUsGFDq8ZKksaMGSOfz6eWLVuqVq1aKi0t1fjx45WWliZJjNePCNS4eL1eJSQknLePM20NGjSolP4H04kTJzR69Gj17dvXeSBnsMeKkINKlZ6erq1bt+rTTz8Ndleqpf3792v48OHKyspSREREsLtTrZWVlSkxMVETJkyQJHXo0EFbt27VzJkzNWDAgCD3rvpZsGCB5syZo7lz56pNmzbKz89XRkaG4uLiGC8E3KlTp3TvvffKGKMZM2YEuzsOTlcFUOPGjVWrVq3zrnwpLCyUx+MJUq+CZ9iwYVq8eLFWrlypK664wtnu8Xh08uRJFRUV+dWfPU4ej6fccTzTZou8vDwdOnRIHTt2VFhYmMLCwrRq1SpNnz5dYWFhcrvdjNX/r0mTJmrdurXftlatWmnfvn2S/nusP/X35/F4dOjQIb/206dP6/Dhw1aNlSSNGjVKY8aMUZ8+fdSuXTv169dPjz/+uCZOnCiJ8foxgRqXS+XvUvpvwPnqq6+UlZXlzOJIwR8rQk4AhYeHq1OnTsrOzna2lZWVKTs7W0lJSUHsWdUyxmjYsGFauHChVqxYcd40ZKdOnVS7dm2/cSooKNC+ffuccUpKStKWLVv8/jjO/PGc+0NXk3Xv3l1btmxRfn6+80pMTFRaWprzb8bqB126dDnvVgS7du1Ss2bNJEkJCQnyeDx+Y+Xz+ZSbm+s3VkVFRcrLy3NqVqxYobKyMnXu3LkKjqLqfPfddwoN9f8vvlatWiorK5PEeP2YQI1LUlKSVq9erVOnTjk1WVlZatGihVWnqs4EnN27d+v//u//1KhRI7/2oI/VL166DD/z5s0zLpfLzJo1y2zfvt0MGTLExMTE+F35YruhQ4ea6Oho88knn5iDBw86r++++86peeSRR0zTpk3NihUrzMaNG01SUpJJSkpy2s9cFt2jRw+Tn59vli1bZi677DLrLosuz9lXVxnDWJ2xfv16ExYWZsaPH292795t5syZY+rUqWPefvttp2bSpEkmJibGvP/+++bzzz83d999d7mX/nbo0MHk5uaaTz/91Fx99dU1/pLo8gwYMMBcfvnlziXk7733nmncuLF58sknnZpLdbyOHj1qNm3aZDZt2mQkmRdeeMFs2rTJuSIoEONSVFRk3G636devn9m6dauZN2+eqVOnTo27hPynxurkyZPmN7/5jbniiitMfn6+3//3Z18pFcyxIuRUgpdfftk0bdrUhIeHmxtuuMGsW7cu2F2qUpLKfb311ltOzffff28effRR06BBA1OnTh3z29/+1hw8eNBvP3v37jV33HGHiYyMNI0bNzYjR440p06dquKjqXrnhhzG6r8+/PBD07ZtW+NyuUzLli3N66+/7tdeVlZmxo0bZ9xut3G5XKZ79+6moKDAr+bbb781ffv2NfXq1TNRUVFm4MCB5ujRo1V5GFXC5/OZ4cOHm6ZNm5qIiAjzq1/9yjz11FN+Pz6X6nitXLmy3P+jBgwYYIwJ3Lhs3rzZdO3a1bhcLnP55ZebSZMmVdUhBsxPjdWePXt+9P/7lStXOvsI5liFGHPW7S8BAAAswZocAABgJUIOAACwEiEHAABYiZADAACsRMgBAABWIuQAAAArEXIAAICVCDkAAMBKhBwAF+3WW29VRkZG0L7/k08+UUhIyHkPMAUAiZADoIYoL1DddNNNOnjwoKKjo4PTKQDVGiEHQFCd/eThCxUeHi6Px6OQkJAA9giALQg5ACrk+PHj6t+/v+rVq6cmTZpo6tSp59WEhIRo0aJFfttiYmI0a9YsSdLevXsVEhKi+fPn65ZbblFERITmzJmjb7/9Vn379tXll1+uOnXqqF27dnrnnXecfTzwwANatWqVpk2bppCQEIWEhGjv3r3lnq76xz/+oTZt2sjlcql58+bn9bN58+aaMGGCHnzwQdWvX19NmzbV66+/fkFj8dVXX6lnz55q0KCB6tatqzZt2mjp0qVO+9atW3XHHXeoXr16crvd6tevn7755hunvaysTJMnT9ZVV10ll8ulpk2bavz48RfUBwA/j5ADoEJGjRqlVatW6f3339fHH3+sTz75RJ999tlF7WvMmDEaPny4duzYoZSUFJ04cUKdOnXSkiVLtHXrVg0ZMkT9+vXT+vXrJUnTpk1TUlKSBg8erIMHD+rgwYOKj48/b795eXm699571adPH23ZskVPP/20xo0b54SsM6ZOnarExERt2rRJjz76qIYOHaqCgoIK9z89PV0lJSVavXq1tmzZor/85S+qV6+eJKmoqEi33XabOnTooI0bN2rZsmUqLCzUvffe63x+7NixmjRpksaNG6ft27dr7ty5crvdFzGSAH5SQJ5lDsBqR48eNeHh4WbBggXOtm+//dZERkaa4cOHO9skmYULF/p9Njo62rz11lvGGGP27NljJJmXXnrpZ78zNTXVjBw50nl/yy23+H2XMcasXLnSSDJHjhwxxhhz3333mf/5n//xqxk1apRp3bq1875Zs2bm/vvvd96XlZWZ2NhYM2PGjJ/t0xnt2rUzTz/9dLltzz33nOnRo4fftv379xtJpqCgwPh8PuNyucwbb7xR4e8DcHHCghuxANQEX3zxhU6ePKnOnTs72xo2bKgWLVpc1P4SExP93peWlmrChAlasGCBvv76a508eVIlJSWqU6fOBe13x44duvvuu/22denSRS+99JJKS0tVq1YtSdK1117rtIeEhMjj8ejQoUMV/p7HHntMQ4cO1ccff6zk5GT17t3b2efmzZu1cuVKZ2bnbF988YWKiopUUlKi7t27X9CxAbhwnK4CEDAhISEyxvhtK29hcd26df3eT5kyRdOmTdPo0aO1cuVK5efnKyUlRSdPnqyUftauXdvvfUhIiMrKyir8+Yceekhffvml+vXrpy1btigxMVEvv/yyJOnYsWPq2bOn8vPz/V67d+9Wt27dFBkZGdBjAfDjCDkAftaVV16p2rVrKzc319l25MgR7dq1y6/usssu08GDB533u3fv1nffffez+1+zZo3uvvtu3X///Wrfvr1+9atfnbfv8PBwlZaW/uR+WrVqpTVr1py372uuucaZxQmU+Ph4PfLII3rvvfc0cuRIvfHGG5Kkjh07atu2bWrevLmuuuoqv1fdunV19dVXKzIyUtnZ2QHtD4DzEXIA/Kx69epp0KBBGjVqlFasWKGtW7fqgQceUGio/38ht912m1555RVt2rRJGzdu1COPPHLerEl5rr76amVlZWnt2rXasWOHHn74YRUWFvrVNG/eXLm5udq7d6+++eabcmdeRo4cqezsbD333HPatWuXZs+erVdeeUVPPPHELxuAc2RkZGj58uXas2ePPvvsM61cuVKtWrWS9MOi5MOHD6tv377asGGDvvjiCy1fvlwDBw5UaWmpIiIiNHr0aD355JP63//9X33xxRdat26d3nzzzYD2EQAhB0AFTZkyRTfffLN69uyp5ORkde3aVZ06dfKrmTp1quLj43XzzTfrvvvu0xNPPFGhdTV/+tOf1LFjR6WkpOjWW2+Vx+NRr169/GqeeOIJ1apVS61bt9Zll12mffv2nbefjh07asGCBZo3b57atm2rzMxMPfvss3rggQcu6FhvvfXWn/xMaWmp0tPT1apVK91+++265ppr9Nprr0mS4uLitGbNGpWWlqpHjx5q166dMjIyFBMT44TCcePGaeTIkcrMzFSrVq30hz/84YLWBAGomBBz7gl0ALjENWvWTM8888wFhyMA1QszOQBwlm3btik6Olr9+/cPdlcA/ELM5AAAACsxkwMAAKxEyAEAAFYi5AAAACsRcgAAgJUIOQAAwEqEHAAAYCVCDgAAsBIhBwAAWImQAwAArPT/AZmcDBSlsFAdAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.clf()\n",
    "plt.hist(durations, bins=np.linspace(0, 60 * 10 * 2, 100))\n",
    "plt.xlabel(\"duration, sec\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f45ab32c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:08:31.354469Z",
     "start_time": "2024-02-16T04:08:31.037028Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counter({'romantic': 125232, 'baroque': 70338, 'classical': 48660, 'early 20th century': 21860, 'modern': 8575, 'renaissance': 3310, 'medieval': 167, 'traditional (folk)': 137, 'jazz': 101, 'chinese': 96, 'western/chinese/japanese/classic/pop/mixed': 50, 'traditional': 39, 'ancient': 19, 'early_20th_century': 19, 'non-western classical': 15, 'bossa nova': 1, '': 1})\n",
      "ferrari, carlotta\n",
      "beethoven, ludwig van\n",
      "purcell, henry\n",
      "schumann, robert\n",
      "mozart, wolfgang amadeus\n",
      "weber, carl maria von\n",
      "brahms, johannes\n",
      "bach, johann sebastian\n",
      "simpson, daniel léo\n",
      "sousa, john philip\n",
      "bellini, vincenzo\n",
      "bizet, georges\n",
      "liszt, franz\n",
      "bruckner, anton\n",
      "handel, george frideric\n",
      "verdi, giuseppe\n",
      "monteverdi, claudio\n",
      "grieg, edvard\n",
      "various\n",
      "zhang, shuwen\n",
      "prokofiev, sergey\n",
      "rachmaninoff, sergei\n",
      "chopin, frédéric\n",
      "bartók, béla\n",
      "granados, enrique\n",
      "schütz, heinrich\n",
      "strauss, richard\n",
      "schubert, franz\n",
      "falla, manuel de\n",
      "gershwin, george\n",
      "mendelssohn, felix\n",
      "rondeau, michel\n",
      "strauss jr., johann\n",
      "respighi, ottorino\n",
      "couperin, françois\n",
      "frescobaldi, girolamo\n",
      "debussy, claude\n",
      "fauré, gabriel\n",
      "rossini, gioacchino\n",
      "haydn, joseph\n",
      "vivaldi, antonio\n",
      "saint-saëns, camille\n",
      "telemann, georg philipp\n",
      "dvořák, antonín\n",
      "mussorgsky, modest\n",
      "puccini, giacomo\n",
      "ravel, maurice\n",
      "paganini, niccolò\n",
      "elgar, edward\n",
      "villa-lobos, heitor\n",
      "berlioz, hector\n",
      "massenet, jules\n",
      "rimsky-korsakov, nikolay\n",
      "offenbach, jacques\n",
      "franck, césar\n",
      "tchaikovsky, pyotr\n",
      "reger, max\n",
      "corelli, arcangelo\n",
      "rameau, jean-philippe\n",
      "delibes, léo\n",
      "sullivan, arthur\n",
      "sor, fernando\n",
      "donizetti, gaetano\n",
      "schoenberg, arnold\n",
      "stravinsky, igor\n",
      "scriabin, aleksandr\n",
      "satie, erik\n",
      "bach, carl philipp emanuel\n",
      "gounod, charles\n",
      "sibelius, jean\n",
      "wagner, richard\n",
      "pergolesi, giovanni battista\n",
      "scarlatti, domenico\n",
      "mahler, gustav\n",
      "lehár, franz\n",
      "gluck, christoph willibald\n"
     ]
    }
   ],
   "source": [
    "genre_counter = collections.Counter()\n",
    "instruments_counter = collections.Counter()\n",
    "composer_counter = collections.Counter()\n",
    "for m in base_metas_imslp:\n",
    "    genre_counter[m.get(\"genre\", \"\").lower()] += 1\n",
    "    instruments_counter[m.get(\"instruments\", \"\").lower()] += 1\n",
    "    composer_counter[m.get(\"composer\", \"\").lower()] += 1\n",
    "#     if m.get(\"composer\", \"\").lower() == 'mahler, gustav':\n",
    "#         print(m.get(\"title\", \"\"), m.get(\"track_title\", \"\"))\n",
    "#         if m.get(\"title\", \"\") == \"Symphony No. 5 in C-Sharp Minor\":\n",
    "#             print(\"--->\", m)\n",
    "print(genre_counter)\n",
    "block_list = set(\n",
    "    [\n",
    "        \"simpson, daniel léo\",\n",
    "        \"sousa, john philip\",\n",
    "        \"various\",\n",
    "        \"zhang, shuwen\",\n",
    "        \"bartók, béla\",\n",
    "        \"strauss, richard\",\n",
    "        \"prokofiev, sergey\",\n",
    "    ]\n",
    ")\n",
    "for composer in composer_counter:\n",
    "    if composer_counter[composer] > 500:\n",
    "        print(composer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "b534970f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:27:45.750865Z",
     "start_time": "2024-02-16T04:27:45.746884Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['antonio vivaldi', 'antonín dvořák', 'bach, carl philipp emanuel', 'bach, johann sebastian', 'beethoven, ludwig van', 'berlioz, hector', 'brahms, johannes', 'claude le jeune', 'corelli, arcangelo', 'debussy, claude', 'donizetti, gaetano', 'felix mendelssohn', 'franck, césar', 'franz schubert', 'georg philipp telemann', 'georges bizet', 'gluck, christoph willibald', 'gounod, charles', 'granados, enrique', 'handel, george frideric', 'haydn, joseph', 'johann strauss jr.', 'liszt, franz', 'mahler, gustav', 'massenet, jules', 'modest mussorgsky', 'monteverdi, claudio', 'mozart, wolfgang amadeus', 'offenbach, jacques', 'paganini, niccolò', 'purcell, henry', 'rossini, gioacchino', 'scarlatti, domenico', 'schumann, robert', 'scriabin, aleksandr', 'sor, fernando', 'sullivan, arthur', 'tchaikovsky, pyotr', 'telemann, georg philipp', 'verdi, giuseppe', 'vincenzo bellini', 'wagner, richard']\n"
     ]
    }
   ],
   "source": [
    "composers_and_death = \"\"\"\n",
    "monteverdi, claudio - 1643\n",
    "purcell, henry - 1695\n",
    "corelli, arcangelo - 1713\n",
    "bach, johann sebastian - 1750\n",
    "telemann, georg philipp - 1767\n",
    "scarlatti, domenico - 1757\n",
    "handel, george frideric - 1759\n",
    "mozart, wolfgang amadeus - 1791\n",
    "beethoven, ludwig van - 1827\n",
    "bach, carl philipp emanuel - 1788\n",
    "gluck, christoph willibald - 1787\n",
    "haydn, joseph - 1809\n",
    "sor, fernando - 1839\n",
    "donizetti, gaetano - 1848\n",
    "schumann, robert - 1856\n",
    "rossini, gioacchino - 1868\n",
    "liszt, franz - 1886\n",
    "wagner, richard - 1883\n",
    "brahms, johannes - 1897\n",
    "verdi, giuseppe - 1901\n",
    "sullivan, arthur - 1900\n",
    "debussy, claude - 1918\n",
    "granados, enrique - 1916\n",
    "mahler, gustav - 1911\n",
    "puccini, giacomo - 1924\n",
    "satie, erik - 1925\n",
    "franck, césar - 1890\n",
    "tchaikovsky, pyotr - 1893\n",
    "gounod, charles - 1893\n",
    "prokofiev, sergey - 1953\n",
    "rachmaninoff, sergei - 1943\n",
    "scriabin, aleksandr - 1915\n",
    "paganini, niccolò - 1840\n",
    "elgar, edward - 1934\n",
    "villa-lobos, heitor - 1959\n",
    "berlioz, hector - 1869\n",
    "massenet, jules - 1912\n",
    "rimsky-korsakov, nikolay - 1908\n",
    "offenbach, jacques - 1880\n",
    "franz lehár - 1948\n",
    "saint-saëns, camille - 1921\n",
    "sibelius, jean - 1957\n",
    "franz schubert - 1828\n",
    "manuel de falla - 1946\n",
    "george gershwin - 1937\n",
    "felix mendelssohn - 1847\n",
    "michel rondeau - Unknown\n",
    "johann strauss jr. - 1899\n",
    "john philip sousa - 1932\n",
    "vincenzo bellini - 1835\n",
    "georges bizet - 1875\n",
    "georg philipp telemann - 1767\n",
    "antonín dvořák - 1904\n",
    "modest mussorgsky - 1881\n",
    "antonio vivaldi - 1741\n",
    "camille saint-saëns - 1921\n",
    "jean sibelius - 1957\n",
    "pierre-montan berton - 1780\n",
    "bryan d. hoyt - Unknown\n",
    "claude le jeune - 1600\n",
    "alexander nakarada - Unknown\n",
    "\"\"\"\n",
    "composers = []\n",
    "allowed_composers = set()\n",
    "for l in composers_and_death.split(\"\\n\"):\n",
    "    outs = l.split(\"-\")\n",
    "    if len(outs) < 2:\n",
    "        continue\n",
    "    composer = outs[0].strip()\n",
    "    date = outs[1].strip()\n",
    "    if not date.isnumeric():\n",
    "        continue\n",
    "    if int(date) <= 1923:\n",
    "        composers.append((int(date), composer))\n",
    "        allowed_composers.add(composer)\n",
    "# print(sorted(composers))\n",
    "print(sorted(allowed_composers))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "de881ffe",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:52:33.186101Z",
     "start_time": "2024-02-16T04:52:28.864890Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "114,365 entries, total duration 10,081 hr\n"
     ]
    }
   ],
   "source": [
    "metas = []\n",
    "seen_ids = set()\n",
    "total_duration = 0\n",
    "for m in base_metas_imslp:\n",
    "    if m[\"id\"] in seen_ids or m[\"id\"] not in allowed_ids:\n",
    "        continue\n",
    "    if m.get(\"composer\", \"\").lower() not in allowed_composers:\n",
    "        continue\n",
    "    new_m = {\"id\": m[\"id\"]}\n",
    "    # original tags\n",
    "    spaced_tags = []\n",
    "    for t in [\n",
    "        m.get(\"genre\", \"\"),\n",
    "        m.get(\"title\", \"\"),\n",
    "        m.get(\"instruments\", \"\"),\n",
    "    ]:\n",
    "        spaced_tags.extend(t.split(\", \"))\n",
    "    composer_tag = m.get(\"composer\", \"\")\n",
    "    if \",\" in composer_tag:\n",
    "        composer_tag = \" \".join(composer_tag.split(\", \")[::-1])\n",
    "    spaced_tags.append(composer_tag)\n",
    "    tags = []\n",
    "    for tag in spaced_tags:\n",
    "        tag = tag.lower()\n",
    "        no_pattern = r\"no\\. (\\d+)\"\n",
    "        op_pattern = r\"op\\. (\\d+)\"\n",
    "        bwv_pattern = r\"bwv (\\d+)\"\n",
    "        k_pattern = r\"k\\. (\\d+)\"\n",
    "        l_pattern = r\"l\\. (\\d+)\"\n",
    "        tag = re.sub(no_pattern, \"\", tag)\n",
    "        tag = re.sub(op_pattern, \"\", tag)\n",
    "        tag = re.sub(bwv_pattern, \"\", tag)\n",
    "        tag = re.sub(k_pattern, \"\", tag)\n",
    "        tag = re.sub(l_pattern, \"\", tag)\n",
    "        if \"voice\" in tag.lower():\n",
    "            continue\n",
    "        if \"chorus\" in tag.lower():\n",
    "            continue\n",
    "        if len(tag.strip()) == 0:\n",
    "            continue\n",
    "        tag = tag.replace(\"  \", \" \")\n",
    "        tags.append(tag)\n",
    "    if len(tags) > 0:\n",
    "        new_m[\"tags\"] = list(set(tags))\n",
    "    private_tags = [\n",
    "        _clean_tag(m.get(\"title\")),\n",
    "        _clean_tag(m.get(\"track_title\", \"\")),\n",
    "        _clean_tag(m.get(\"composer\", \"\")),\n",
    "    ]\n",
    "    spaced_tags = []\n",
    "    for t in private_tags:\n",
    "        spaced_tags.extend(t.split(\", \"))\n",
    "    private_tags = spaced_tags\n",
    "    private_tags += tags\n",
    "    private_tags = [t for t in private_tags if len(t) > 0]\n",
    "    if len(private_tags) > 0:\n",
    "        new_m[\"private_tags\"] = list(set(private_tags))\n",
    "    metas.append(new_m)\n",
    "    seen_ids.add(m[\"id\"])\n",
    "    total_duration += m[\"duration_s\"]\n",
    "print(f\"{len(metas):,} entries, total duration {total_duration/60/60:,.0f} hr\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "238042df",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:52:33.358874Z",
     "start_time": "2024-02-16T04:52:33.188741Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('romantic', 41477), ('piano', 40044), ('baroque', 39128), ('classical', 32263), ('johann sebastian bach', 30630), ('orchestra', 24358), ('ludwig van beethoven', 18243), ('wolfgang amadeus mozart', 12684), ('cello', 12064), ('violin', 11751), ('robert schumann', 10170), ('johannes brahms', 9961), ('strings', 9452), ('continuo', 7174), ('2 violins', 7063), ('viola', 6352), ('organ', 5787), ('keyboard', 5049), ('clavier', 5004), ('george frideric handel', 4507), ('pyotr tchaikovsky', 4447), ('claude debussy', 4214), ('joseph haydn', 4137), ('harpsichord', 3787), ('franz liszt', 3783), ('2 oboes', 3225), ('2 clarinets', 2980), ('2 trumpets', 2721), ('timpani', 2359), ('goldberg variations', 2252), ('the well-tempered clavier', 2154), ('flute', 2121), ('georg philipp telemann', 1661), ('early 20th century', 1490), ('book 1', 1479), ('piano 4-hands', 1424), ('3 trombones', 1331), ('2 bassoons\\n2 horns', 1327), ('book 2', 1313), ('gustav mahler', 1227), ('clarinet', 1195), ('symphony in d major', 1195), ('carnaval', 1133), ('a', 1073), ('niccolò paganini', 1061), ('césar franck', 1052), ('oboe', 1010), ('2 horns', 1004), ('aleksandr scriabin', 972), ('symphony in c major', 959), ('symphony in f major', 922), ('arcangelo corelli', 882), (' (excerpts)', 852), ('double bass', 838), ('2 violas', 822), ('symphony in e-flat major', 815), ('2 flutes', 812), ('triangle', 811), ('orchestra: 2 flutes', 800), ('bass drum', 771), ('piano sonata in c major', 759), ('2 bassoons\\n4 horns', 756), ('\"diabelli variations\"', 748), ('dichterliebe', 746), ('recorder', 743), ('harp', 726), ('concertino: 2 violins', 714), ('cello\\nripieno: strings', 714), ('cymbals', 711), ('domenico scarlatti', 703), ('unspecified', 697), ('but most likely keyboard', 697), ('preludes', 684), ('violin concerto in d major', 682), ('soprano', 680), ('tam-tam', 669), ('glockenspiel', 669), ('24 caprices', 667), ('piano sonata in c minor', 665), ('-869', 655), ('21 hungarian dances', 642), ('guitar', 630), ('continuo (harpsichord)', 629), ('violin sonata in a major', 628), ('symphony in c minor', 627), ('hector berlioz', 620), ('piano sonata in e-flat major', 600), ('piano concerto in e-flat major', 599), ('trumpet', 592), ('gioacchino rossini', 586), ('préludes', 578), ('33 variations on a waltz by diabelli in c major', 576), ('carl philipp emanuel bach', 570), ('fernando sor', 568), ('kinderszenen (scenes of childhood)', 566), ('woo 1', 565), ('die kunst der fuge (the art of fugue)', 565), ('2 bassoons', 555), ('symphony in b-flat major', 537), ('solo: organ\\norchestra: 2 oboes', 534), ('organ (both with and without pedals)', 527), ('enrique granados', 523), ('piano sonata in a major', 516), ('piano sonata in b-flat major', 516), ('harpsichord (or piano)', 515), ('clavier (keyboard)', 510), ('symphony in e minor', 496), ('concerto grosso in g minor', 487), ('piano sonata in f minor', 487), ('-893', 485), ('symphony in a major', 481), ('piano sonata in d major', 470), ('solo: piano\\norchestra: 2 flutes', 470), ('liederkreis', 469), ('etudes symphoniques (symphonic etudes)', 467), ('16 waltzes', 456), ('unspecified (includes: flute ; harpsichord ; 2 violins)', 451), ('piano sonata in g major', 450), ('fantasiestücke', 447), ('cello suite in g major', 445), ('violin partita in d minor', 445), ('piano sonata in f major', 432), ('the sleeping beauty', 430), ('kreisleriana', 429), ('tuba', 424), ('violin partita in e major', 424), ('symphonie fantastique', 418), ('string quartet in b-flat major', 408), ('33 variations in c major on a waltz by diabelli', 408), ('orchestra ; 2 pianos', 404), ('cello suite in c major', 402), ('violin partita in b minor', 399), ('symphonie in f major', 398), ('cello suite in c minor', 393), ('henry purcell', 390), ('\"pastoral\"', 390), ('livre i', 388), ('24 preludes', 385), ('symphony in g minor', 381), ('cello or 5-stringed cello (violoncello piccolo', 375), ('possibly viola pomposa)', 375), ('piano concerto in b-flat major', 374), ('cello suite in d major', 371), ('violin sonata in a minor', 369), ('annees de pelerinage', 362), ('piano concerto in c major', 360), ('cello suite in d minor', 356), ('cello suite in e-flat major', 355), ('violin sonata in c major', 355), ('violin sonata in g minor', 350), (\"children's corner\", 346), ('2 cornets', 345), ('string quartet in f major', 340), ('tuba\\ntimpani', 339), ('piano sonata in a-flat major', 337), ('overture (suite) in d major', 337), ('piano concerto in a major', 335), ('2 harps', 331), ('piano sonata in c-sharp minor', 331), ('cello*', 323), ('suite from the nutcracker', 322), ('symphony in g major', 321), ('25 variations and fugue on a theme by handel', 321), (' \"pathétique\"', 317), ('divertimento in d major', 312), ('brandenburg concerto in f major', 311), ('tuba + timpani', 311), ('piccolo', 307), ('percussion + strings', 300), ('b', 299), ('claudio monteverdi', 298), ('concerto pour piano in e-flat major', 298), ('myrthen', 294), ('violin sonata in g major', 293), ('symphonie in e-flat major', 287), ('various', 284), ('symphony in d minor', 282), ('overture (suite) in b minor', 281), ('album for the young', 280), ('brandenburg concerto in g major', 280), ('strings (2 violins', 280), ('string quartet in e-flat major', 277), ('partita in b-flat major', 276), ('\"eroica\"', 276), ('piano sonata in e major', 275), ('symphonie in c major', 273), ('suite bergamasque', 272), ('violin sonata in d minor', 272), ('variations on a theme by haydn', 267), ('piano concerto in g major', 266), ('continuo (violone & harpsichord)', 265), ('recorder*', 265), ('images', 261), ('\"pathetique\"', 261), ('string quartet in d major', 261), ('piano concerto in c minor', 260), ('string quartet in c major', 259), ('bassoon', 256), ('album fur die jugend (album for the young)', 255), ('12 etudes', 255), ('french suite in g major', 255), ('serenade in d major', 254), ('symphonie in d major', 254), ('concerto grosso in d major', 253), ('kinderszenen', 253), ('concerto pour violon in d major', 253), ('violone)', 252), ('2 recorders', 252), ('-786', 252), ('\"moonlight\"', 250), ('3 cellos', 249), ('3 violas', 249), ('3 violins', 249), (' \"pastorale\"', 249), ('piano concerto in d minor', 248), ('2 bassoons + 2 horns', 247), ('solo: piano\\norchestra: 3 flutes/piccolo', 247), ('horn concerto in e-flat major', 246), ('violin sonata in f major', 244), ('18 chorales', 243), ('-668', 242), ('partita in a minor', 241), ('partita in c minor', 239), ('symphonie in c minor', 237), ('5 lieder', 236), ('orchestral suite in d major', 236), ('serenade in g major', 235), ('viola da gamba', 231), ('musical offering', 228), ('alto', 227), ('2 bass viols', 227), ('clavier and pedal (this is one organ; the \"clavier\" refers to the two manuals and \"pedal\" is the pedals)', 227), ('3 bassoons', 226), ('orchestral suite in b minor', 225), ('partita in e minor', 224), ('2 horns (a/e)', 223), ('solo: violin\\norchestra: 2 oboes', 223), ('organ concerto in f major', 220), ('later arranged for string quartet', 219), ('3 trumpets', 217), ('richard wagner', 216), ('concerto brandebourgeois in f major', 215), ('horn', 215), ('organ concerto in b-flat major', 215), ('3 trombones\\ntimpani', 214), ('peches de vieillesse', 212), ('piano quintet in e-flat major', 212), ('2 trumpets (c)', 211), ('les saisons (the seasons)', 210), ('orchestra: 2 oboes', 208), ('28 variations on a theme by paganini', 208), ('cello soli', 206), ('orchestra \\n  2 flutes', 206), ('contrabassoon\\n4 horns', 206), ('english horn', 206), ('solo: piano\\norchestra: 2 flutes (2nd also piccolo)', 206), ('18 liebeslieder waltzes', 205), ('le clavier bien tempéré', 205), ('music for the royal fireworks', 204), ('partita in d major', 204), ('\"rasumovsky\"', 203), ('concerto grosso in f major', 202), ('overture (partita) in the french style in b minor', 199), ('symphony in b minor', 199), ('narrator (optional)', 197), ('24 studies', 197), ('19 hungarian rhapsodies', 197), ('livre ii', 196), ('toccata and fugue in d minor', 196), ('book ii', 194), ('english suite in g minor', 194), ('6 piano pieces', 193), ('string quartet in g major', 193), ('lute', 192), ('\"st. anthony variations\"', 192), ('egmont', 191), ('concerto brandebourgeois in g major', 190), ('davidsbundlertanze', 190), ('s139/r2b', 190), ('giulio cesare in egitto', 190), ('papillons', 190), ('\"spring\"', 189), ('\"christmas concerto\"', 187), ('2nd year', 186), ('french suite in e major', 186), ('partita in g major', 186), ('symphony in f minor', 186), ('bass', 185), ('the nutcracker suite', 185), ('2 pianos', 185), ('hwv 351', 184), (' \"héroïque\"', 183), ('3 trumpets (f', 183), ('b♭', 183), ('3rd also bass clarinet (b♭)', 183), ('3 bassoons (3rd also contrabassoon)\\n    4 horns (f)', 183), ('3 oboes (3rd also english horn),\\n      3 clarinets (a', 183), ('c)(2nd also clarinet (e♭)', 183), ('4th also piccolo)', 183), ('b♭),\\ntimpani', 183)]\n"
     ]
    }
   ],
   "source": [
    "tag_counter = collections.Counter()\n",
    "for m in metas:\n",
    "    for tag in m.get(\"tags\"):\n",
    "        tag_counter[tag.lower()] += 1\n",
    "print(tag_counter.most_common(300))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "5de82694",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:53:24.639611Z",
     "start_time": "2024-02-16T04:53:23.960259Z"
    }
   },
   "outputs": [],
   "source": [
    "write_jsonl(metas, os.path.join(METAS_DIR, \"imslp_filtered.jsonl\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "12d5c590",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:56:58.230920Z",
     "start_time": "2024-02-16T04:56:58.228052Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/tony/Work/tony/FineTuning_chirp_v3_4min/metadata'"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "METAS_DIR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "29b05eb1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "01862f25",
   "metadata": {},
   "source": [
    "### pond5 music"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "204baedd",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:59:01.800252Z",
     "start_time": "2024-02-16T04:57:37.116894Z"
    },
    "execution": {
     "iopub.execute_input": "2024-09-05T19:37:14.212070Z",
     "iopub.status.busy": "2024-09-05T19:37:14.211706Z",
     "iopub.status.idle": "2024-09-05T19:38:09.528835Z",
     "shell.execute_reply": "2024-09-05T19:38:09.528146Z",
     "shell.execute_reply.started": "2024-09-05T19:37:14.212052Z"
    }
   },
   "outputs": [],
   "source": [
    "pd5_base_metas = read_from_s3(\n",
    "    \"s3://suno-data/datasets/bundles/v2/pond5_music/metas.jsonl\", read_f=read_jsonl\n",
    ")\n",
    "pd5_extra_metas = read_from_s3(\n",
    "    \"s3://suno-data/datasets/harvest/pond5_music/pond5_metas.jsonl\", read_f=read_jsonl\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "b197bc37",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:59:01.805210Z",
     "start_time": "2024-02-16T04:59:01.802706Z"
    },
    "execution": {
     "iopub.execute_input": "2024-09-05T19:38:12.880324Z",
     "iopub.status.busy": "2024-09-05T19:38:12.879959Z",
     "iopub.status.idle": "2024-09-05T19:38:12.882445Z",
     "shell.execute_reply": "2024-09-05T19:38:12.882041Z",
     "shell.execute_reply.started": "2024-09-05T19:38:12.880305Z"
    }
   },
   "outputs": [],
   "source": [
    "# TODO: anything we wanna filter out??\n",
    "#   allowed_ids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "0e53b733-da6f-4146-af1a-7d700db10343",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-05T19:42:58.600577Z",
     "iopub.status.busy": "2024-09-05T19:42:58.599992Z",
     "iopub.status.idle": "2024-09-05T19:42:58.602827Z",
     "shell.execute_reply": "2024-09-05T19:42:58.602414Z",
     "shell.execute_reply.started": "2024-09-05T19:42:58.600557Z"
    }
   },
   "outputs": [],
   "source": [
    "# pd5_extra_metas[9000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "e48d6ff8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:59:12.852919Z",
     "start_time": "2024-02-16T04:59:05.113745Z"
    },
    "execution": {
     "iopub.execute_input": "2024-09-05T19:50:33.652337Z",
     "iopub.status.busy": "2024-09-05T19:50:33.651861Z",
     "iopub.status.idle": "2024-09-05T19:50:42.625156Z",
     "shell.execute_reply": "2024-09-05T19:50:42.624547Z",
     "shell.execute_reply.started": "2024-09-05T19:50:33.652315Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████| 2072969/2072969 [00:08<00:00, 242541.46it/s]\n"
     ]
    }
   ],
   "source": [
    "extra_info = {}\n",
    "seen_ids = set()\n",
    "genre_counter = collections.Counter()\n",
    "for m in tqdm.tqdm(pd5_extra_metas):\n",
    "    if \"s3_filepath\" not in m:\n",
    "        continue\n",
    "    if m[\"id\"] in seen_ids:\n",
    "        continue\n",
    "    if m[\"duration\"] < 60:\n",
    "        continue\n",
    "    if m[\"duration\"] > 60 * 4:\n",
    "        continue\n",
    "    name = m.get(\"name\", \"\")\n",
    "    description = m.get(\"description\", \"\")\n",
    "    tags = m.get(\"tags\", [])\n",
    "    genre = m.get(\"genre\", \"\")\n",
    "    if not genre:\n",
    "        continue\n",
    "    genre_counter[genre.lower().strip()] += 1\n",
    "    if not description or not tags or not name:\n",
    "        continue\n",
    "    if len(description.strip().split()) < 10:\n",
    "        continue\n",
    "    if len(description.strip().split()) > 100:\n",
    "        continue\n",
    "    if not isinstance(tags, list) or len(tags) < 5 or len(tags) > 50:\n",
    "        continue\n",
    "    # if there are weird tags\n",
    "    if max(len(tag) for tag in tags) >= 20:\n",
    "        continue\n",
    "    extra_info[m[\"id\"]] = {\n",
    "        \"name\": name if isinstance(name, str) else \"\",\n",
    "        \"description\": (description if isinstance(description, str) else \"\"),\n",
    "        \"tags\": ([genre] if genre else []) + tags if isinstance(tags, list) else \"\",\n",
    "    }\n",
    "    seen_ids.add(m[\"id\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "34b7933e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:59:13.836185Z",
     "start_time": "2024-02-16T04:59:13.832826Z"
    },
    "execution": {
     "iopub.execute_input": "2024-09-05T19:50:44.739620Z",
     "iopub.status.busy": "2024-09-05T19:50:44.739137Z",
     "iopub.status.idle": "2024-09-05T19:50:44.743222Z",
     "shell.execute_reply": "2024-09-05T19:50:44.742799Z",
     "shell.execute_reply.started": "2024-09-05T19:50:44.739599Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2072969,\n",
       " 603920,\n",
       " [('medium tempo', 457584),\n",
       "  ('slow tempo', 129424),\n",
       "  ('fast tempo', 106566),\n",
       "  ('available for musical works', 44278),\n",
       "  ('seamless looping', 23644),\n",
       "  ('summer', 5123),\n",
       "  ('2000s', 3981),\n",
       "  ('slow motion', 3176),\n",
       "  ('lyrics', 2698),\n",
       "  ('night', 2194)])"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pd5_extra_metas), len(extra_info), genre_counter.most_common(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "a2e0d453",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:59:49.459391Z",
     "start_time": "2024-02-16T04:59:44.949251Z"
    },
    "execution": {
     "iopub.execute_input": "2024-09-05T19:50:48.035183Z",
     "iopub.status.busy": "2024-09-05T19:50:48.034874Z",
     "iopub.status.idle": "2024-09-05T19:51:30.855358Z",
     "shell.execute_reply": "2024-09-05T19:51:30.854758Z",
     "shell.execute_reply.started": "2024-09-05T19:50:48.035167Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████| 2068743/2068743 [00:42<00:00, 48903.60it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "598,421 entries, total duration 21,549 hr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "metas = []\n",
    "total_duration = 0\n",
    "n_c = 0\n",
    "for m in tqdm.tqdm(pd5_base_metas):\n",
    "    #     if n_c > 5:\n",
    "    #         break\n",
    "    if m[\"id\"] not in seen_ids:\n",
    "        continue\n",
    "    # if random.random() < 0.93:\n",
    "    #     continue\n",
    "    n_c += 1\n",
    "    info = extra_info[m[\"id\"]]\n",
    "    new_m = {\"id\": m[\"id\"]}\n",
    "    # print(m, info)\n",
    "    tags = [\n",
    "        info[\"name\"],\n",
    "        info[\"description\"],\n",
    "    ]\n",
    "    tags.extend(info[\"tags\"])\n",
    "    tags = [_clean_tag(t) for t in tags]\n",
    "    tags = [t for t in tags if len(t) > 0]\n",
    "    if len(tags) > 10:\n",
    "        new_m[\"tags\"] = list(set(tags))\n",
    "        metas.append(new_m)\n",
    "        total_duration += m[\"duration_s\"]\n",
    "print(f\"{len(metas):,} entries, total duration {total_duration/60/60:,.0f} hr\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "a2dd2c7d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-16T04:59:58.739284Z",
     "start_time": "2024-02-16T04:59:58.127385Z"
    },
    "execution": {
     "iopub.execute_input": "2024-09-05T19:52:12.815601Z",
     "iopub.status.busy": "2024-09-05T19:52:12.815150Z",
     "iopub.status.idle": "2024-09-05T19:52:18.946772Z",
     "shell.execute_reply": "2024-09-05T19:52:18.946150Z",
     "shell.execute_reply.started": "2024-09-05T19:52:12.815578Z"
    }
   },
   "outputs": [],
   "source": [
    "write_jsonl(metas, os.path.join(METAS_DIR, \"pond5_music_t3.jsonl\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d1b2f3fc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bced417a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "bb193df8",
   "metadata": {},
   "source": [
    "## deezer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d27c1bd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "base_metas = read_from_s3(\n",
    "    \"s3://suno-data/datasets/bundles/v2/deezer/metas_plus.jsonl\", read_f=read_jsonl\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "b3209b25",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: use lyrics\n",
    "# TODO: get youtube title for private tags"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "23c774c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: use aligned lyrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "id": "5a8b74b0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "768,515 clips\n",
      "535,018 music clips\n"
     ]
    }
   ],
   "source": [
    "print(f\"{len(base_metas):,} clips\")\n",
    "allowed_ids = set()\n",
    "for m in base_metas:\n",
    "    # TODO: the threshold here is low...\n",
    "    if m[\"views\"] < 50:\n",
    "        continue\n",
    "    #     if re.search(r\"\\blive\\b\", m[\"title\"], flags=re.IGNORECASE):\n",
    "    #         continue\n",
    "    allowed_ids.add(m[\"id\"])\n",
    "print(f\"{len(allowed_ids):,} music clips\")\n",
    "# 768,515 clips\n",
    "# 535,018 music clips"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "id": "8c0a5602",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "508,804 entries\n",
      "508,804 entries with lyrics\n"
     ]
    }
   ],
   "source": [
    "metas = []\n",
    "seen_ids = set()\n",
    "for m in base_metas:\n",
    "    if m[\"id\"] in seen_ids or m[\"id\"] not in allowed_ids:\n",
    "        continue\n",
    "    if (\n",
    "        \"lang_guess\" not in m\n",
    "        or len(m[\"lang_guess\"]) < 2\n",
    "        or \"lyrics\" not in m\n",
    "        or len(m[\"lyrics\"]) > 5120  # empirically verified\n",
    "    ):\n",
    "        continue\n",
    "    if m[\"lang_guess\"][:2] in (\"zh\", \"ja\"):\n",
    "        if len(m[\"lyrics\"]) < 256:\n",
    "            continue\n",
    "    else:\n",
    "        if len(m[\"lyrics\"]) < 512:\n",
    "            continue\n",
    "    new_m = {\n",
    "        \"id\": m[\"id\"],\n",
    "        \"views\": m[\"views\"],\n",
    "        \"text\": m[\"lyrics\"],\n",
    "        \"lang\": m[\"lang_guess\"].split(\"-\")[0].lower(),\n",
    "    }\n",
    "    # get private tags\n",
    "    private_tags = [\n",
    "        m.get(\"youtube_title\"),\n",
    "        m.get(\"youtube_artist\"),\n",
    "    ]\n",
    "    private_tags = [t_clean for t in private_tags if len(t_clean := _clean_tag(t)) > 0]\n",
    "    if len(private_tags) > 0:\n",
    "        new_m[\"private_tags\"] = list(set(private_tags))\n",
    "    metas.append(new_m)\n",
    "    seen_ids.add(m[\"id\"])\n",
    "print(f\"{len(metas):,} entries\")\n",
    "# 508,804 entries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "id": "1adfd6d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "write_jsonl(metas, os.path.join(METAS_DIR, \"deezer.jsonl\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2ebe9b7e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8768446b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "6a850869",
   "metadata": {},
   "source": [
    "## ytm_tagged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "18304cc8",
   "metadata": {},
   "outputs": [],
   "source": [
    "base_metas = read_from_s3(\n",
    "    \"s3://suno-data/datasets/bundles/v2/ytm_tagged/metas.jsonl\", read_f=read_jsonl\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "id": "8076d9ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2,772,393 clips\n",
      "2,255,305 music clips\n"
     ]
    }
   ],
   "source": [
    "print(f\"{len(base_metas):,} clips\")\n",
    "allowed_ids = set()\n",
    "for m in base_metas:\n",
    "    if m[\"views\"] < 100:\n",
    "        continue\n",
    "    #     if re.search(r\"\\blive\\b\", m[\"title\"], flags=re.IGNORECASE):\n",
    "    #         continue\n",
    "    allowed_ids.add(m[\"id\"])\n",
    "print(f\"{len(allowed_ids):,} music clips\")\n",
    "# 2,772,393 clips\n",
    "# 2,255,305 music clips"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "4474ec44",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2,255,305 entries\n"
     ]
    }
   ],
   "source": [
    "metas = []\n",
    "seen_ids = set()\n",
    "for m in base_metas:\n",
    "    if m[\"id\"] in seen_ids or m[\"id\"] not in allowed_ids:\n",
    "        continue\n",
    "    new_m = {\n",
    "        \"id\": m[\"id\"],\n",
    "        \"views\": m[\"views\"],\n",
    "    }\n",
    "    # get tags\n",
    "    tags = m.get(\"tags\", [])\n",
    "    tags = [t_clean for t in tags if len(t_clean := _clean_tag(t)) > 0]\n",
    "    if len(tags) > 0:\n",
    "        new_m[\"tags\"] = list(set(tags))\n",
    "    # get private tags\n",
    "    private_tags = m.get(\"private_tags\", [])\n",
    "    private_tags = [t_clean for t in private_tags if len(t_clean := _clean_tag(t)) > 0]\n",
    "    if len(private_tags) > 0:\n",
    "        new_m[\"private_tags\"] = list(set(private_tags))\n",
    "    metas.append(new_m)\n",
    "    seen_ids.add(m[\"id\"])\n",
    "print(f\"{len(metas):,} entries\")\n",
    "# 2,255,305 entries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "id": "8f2c4f3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "write_jsonl(metas, os.path.join(METAS_DIR, \"ytm_tagged.jsonl\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10faf712",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf0b6253",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d569d249",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "523dc5af",
   "metadata": {},
   "source": [
    "## musescore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7ea44d0a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: add language using classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5423b231",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3,219 music clips\n",
      "204.3 hours\n"
     ]
    }
   ],
   "source": [
    "base_metas = read_from_s3(\n",
    "    \"s3://suno-data/datasets/bundles/v2/musescore/metas.jsonl\", read_f=read_jsonl\n",
    ")\n",
    "print(f\"{len(base_metas):,} music clips\")\n",
    "print(f\"{sum([m['duration_s'] for m in base_metas])/60/60:,.1f} hours\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cc11999c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "\n",
    "import funcy\n",
    "\n",
    "\n",
    "def _max_notes_sub(m, max_notes=5):\n",
    "    return \"[\" + \";\".join(m.group(1).split(\";\")[:max_notes]) + \"]\"\n",
    "\n",
    "\n",
    "def create_pitched_lyrics(notes_metas, max_notes=None, include_duration=False):\n",
    "    is_word_bound = True\n",
    "    text = \"\"\n",
    "    for m in notes_metas:\n",
    "        if \"text\" in m:\n",
    "            if m[\"text_part\"] == \"begin\":\n",
    "                is_word_bound = True\n",
    "            if is_word_bound:\n",
    "                text += \" \"\n",
    "            text += m[\"text\"]\n",
    "            if m[\"text_part\"] in {\"single\", \"end\"}:\n",
    "                is_word_bound = True\n",
    "            else:\n",
    "                is_word_bound = False\n",
    "        pitch_str = f\"{m['pitch']}\"\n",
    "        if include_duration:\n",
    "            pitch_str += f\"_{m['duration']}\"\n",
    "        text += f\"[{pitch_str}]\"\n",
    "    text = text.replace(\"][\", \";\").strip()\n",
    "    if max_notes is not None:\n",
    "        # add max ~5 notes in a bracket?\n",
    "        _max_notes_sub_p = funcy.partial(_max_notes_sub, max_notes=max_notes)\n",
    "        text = re.sub(r\"\\[(.*?)\\]\", _max_notes_sub_p, text)\n",
    "    return text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0b7c213e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████| 3219/3219 [00:01<00:00, 2464.96it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3,219 clips\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "metas = []\n",
    "for m in tqdm.tqdm(base_metas):\n",
    "    new_m = {\n",
    "        \"id\": m[\"id\"],\n",
    "    }\n",
    "    # get notes/text\n",
    "    text = create_pitched_lyrics(m[\"notes\"], max_notes=5, include_duration=True)\n",
    "    new_m[\"text\"] = text\n",
    "    metas.append(new_m)\n",
    "print(f\"{len(metas):,} clips\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "da89cdcd",
   "metadata": {},
   "outputs": [],
   "source": [
    "write_jsonl(metas, os.path.join(METAS_DIR, \"musescore.jsonl\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fefebdd5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "979ee4d9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "7380e289",
   "metadata": {},
   "source": [
    "## ytm_mb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "344672f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "base_metas = read_from_s3(\n",
    "    \"s3://suno-data/datasets/bundles/v2/ytm_mb/metas.jsonl\", read_f=read_jsonl\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a389bde9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "956ea735",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1d5ae207",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "311d6bdc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "76e67767",
   "metadata": {},
   "source": [
    "## Make tokenizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ce26faf9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import random\n",
    "import re\n",
    "from collections import Counter\n",
    "\n",
    "import tqdm\n",
    "from suno_utils.utils.text import read_jsonl\n",
    "from tokenizers import (\n",
    "    Tokenizer,\n",
    "    decoders,\n",
    "    models,\n",
    "    normalizers,\n",
    "    pre_tokenizers,\n",
    "    processors,\n",
    "    trainers,\n",
    ")\n",
    "from transformers import BertTokenizerFast, PreTrainedTokenizerFast\n",
    "\n",
    "METAS_DIR = os.path.join(os.getcwd(), \"metadata\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5a5035b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: do we want more augment?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "940e780b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████████████████| 8/8 [11:33<00:00, 86.75s/it]\n"
     ]
    }
   ],
   "source": [
    "# create tokenizer data\n",
    "\n",
    "\n",
    "def _augment_case(s):\n",
    "    if random.random() >= 0.95:\n",
    "        s = s.upper()\n",
    "    elif random.random() >= 0.95:\n",
    "        s = s.lower()\n",
    "    return s\n",
    "\n",
    "\n",
    "def _augment_tag(s):\n",
    "    if random.random() >= 0.95:\n",
    "        s = s.upper()\n",
    "    elif random.random() >= 0.95:\n",
    "        s = s.capitalize()\n",
    "    elif random.random() >= 0.9:\n",
    "        s = s.title()\n",
    "    elif random.random() >= 0.9:\n",
    "        s = s.lower()\n",
    "    if random.random() >= 0.5:\n",
    "        s = s.replace(\"-\", \" \").strip()\n",
    "    return s\n",
    "\n",
    "\n",
    "def _space_repl(m):\n",
    "    s = m.group()\n",
    "    n_newline = s.count(\"\\n\")\n",
    "    if n_newline >= 2:\n",
    "        return \"\\n\\n\"\n",
    "    elif n_newline == 1:\n",
    "        return \"\\n\"\n",
    "    return \" \"\n",
    "\n",
    "\n",
    "def _simplify_whitespace(text, retain_newlines=True):\n",
    "    \"\"\"simplify while respecting up to 2 newlines\"\"\"\n",
    "    if retain_newlines:\n",
    "        text = re.sub(r\"\\s+\", _space_repl, text).strip()\n",
    "    else:\n",
    "        text = re.sub(r\"\\s+\", \" \", text).strip()\n",
    "    return text\n",
    "\n",
    "\n",
    "with open(\"data/tokenizer_train.txt\", \"w\") as f:\n",
    "    for fn in tqdm.tqdm(\n",
    "        [\n",
    "            \"genius_hq\",\n",
    "            \"youtube_music\",\n",
    "            \"freesound\",\n",
    "            \"jamendo\",\n",
    "            \"imslp\",\n",
    "            \"pond5_music\",\n",
    "            \"deezer\",\n",
    "            \"ytm_tagged\",\n",
    "        ]\n",
    "    ):\n",
    "        for m in read_jsonl(os.path.join(METAS_DIR, f\"{fn}.jsonl\")):\n",
    "            text_key = (\n",
    "                \"text\"\n",
    "                if \"private_text\" not in m or random.random() >= 0.2\n",
    "                else \"private_text\"\n",
    "            )\n",
    "            if text_key in m:\n",
    "                f.write(_simplify_whitespace(_augment_case(m[text_key])) + \"\\n\")\n",
    "            text_key = (\n",
    "                \"text_segments\"\n",
    "                if \"private_text_segments\" not in m or random.random() >= 0.2\n",
    "                else \"private_text_segments\"\n",
    "            )\n",
    "            if text_key in m:\n",
    "                for mm in m[text_key]:\n",
    "                    f.write(_simplify_whitespace(_augment_case(mm[\"text\"])) + \"\\n\")\n",
    "            text_key = (\n",
    "                \"tags\"\n",
    "                if \"private_tags\" not in m or random.random() >= 0.2\n",
    "                else \"private_tags\"\n",
    "            )\n",
    "            if text_key in m:\n",
    "                join_char = random.choice([\", \", \"; \", \" \"])\n",
    "                f.write(\n",
    "                    _simplify_whitespace(\n",
    "                        join_char.join([_augment_tag(t) for t in m[text_key]])\n",
    "                    )\n",
    "                    + \"\\n\"\n",
    "                )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2b844506",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6.7G\tdata/tokenizer_train.txt\r\n"
     ]
    }
   ],
   "source": [
    "!du -hs data/tokenizer_train.txt\n",
    "# 6.7G"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "39701df2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15462 unique chars\n",
      "13045 unique chars after filtering\n"
     ]
    }
   ],
   "source": [
    "min_char_n = 3\n",
    "with open(\"data/tokenizer_train.txt\") as f:\n",
    "    corpus = f.read()\n",
    "char_counts = Counter(corpus)\n",
    "print(len(char_counts), \"unique chars\")\n",
    "trans_table = str.maketrans({k: \" \" for k, v in char_counts.items() if v < min_char_n})\n",
    "corpus = corpus.translate(trans_table)\n",
    "char_counts_2 = Counter(corpus)\n",
    "print(len(char_counts_2), \"unique chars after filtering\")\n",
    "vocab = [c for c, _ in char_counts_2.most_common()]\n",
    "corpus_lines = corpus.split(\"\\n\")\n",
    "corpus_lines = [\n",
    "    line_clean for line in corpus_lines if len(line_clean := line.strip()) > 0\n",
    "]\n",
    "random.seed(6006)\n",
    "sample_corpus_lines = random.choices(corpus_lines, k=1_000_000)\n",
    "with open(\"data/tokenizer_train_clean.txt\", \"w\") as f:\n",
    "    for line in corpus_lines:\n",
    "        f.write(line + \"\\n\")\n",
    "# del corpus, corpus_lines\n",
    "# gc.collect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ff176544",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['I like the way your lips move when you look at me',\n",
       " 'How many shots will it take to make son drop?',\n",
       " 'And hearts will be glowing when loved ones are near',\n",
       " 'वो ज़माना याद है',\n",
       " '[Chorus]',\n",
       " 'Я как-то бежал наобум, все вокруг говорило: «How do you do?» (А-а-а)',\n",
       " 'Seiso',\n",
       " 'Ma sta merda so che mi',\n",
       " 'Que saudade dos mano, vivência de cria',\n",
       " \"I don't know where to start\"]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_corpus_lines[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "54c6f464",
   "metadata": {},
   "outputs": [],
   "source": [
    "# add newline to tokenizer\n",
    "# don't tokenize across newline or whitespace"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8889ef74",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: define certain tokens to always be by themselves like brackets?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8348f908",
   "metadata": {},
   "source": [
    "#### Train and save"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ba2e418b",
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenizer = Tokenizer(models.WordPiece(unk_token=\"[UNK]\"))\n",
    "tokenizer.normalizer = normalizers.BertNormalizer(lowercase=False)\n",
    "tokenizer.pre_tokenizer = pre_tokenizers.BertPreTokenizer()\n",
    "special_tokens = [\"[UNK]\", \"[PAD]\"]\n",
    "trainer = trainers.WordPieceTrainer(vocab_size=60_000, special_tokens=special_tokens)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7ffeee5c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "tokenizer.train([\"data/tokenizer_train_clean.txt\"], trainer=trainer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e6ea2c0d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# tokenizer.save(\"tmp/tokenizer_60k.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5a5e52f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !aws s3 cp tmp/tokenizer_60k.json s3://suno-data/georg/trained_models/chirp_v2/tokenizer_60k.json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "962cdd79",
   "metadata": {},
   "outputs": [],
   "source": [
    "wrapped_tokenizer = PreTrainedTokenizerFast(\n",
    "    tokenizer_object=tokenizer,\n",
    "    #     tokenizer_file=\"tmp/tokenizer_60k.json\", # You can load from the tokenizer file, alternatively\n",
    "    unk_token=\"[UNK]\",\n",
    "    pad_token=\"[PAD]\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "63561243",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[33356, 18, 33356, 19]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wrapped_tokenizer.encode(\"Line 1\\nLine 2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "62202a2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from tokenizers import AddedToken\n",
    "\n",
    "wrapped_tokenizer.add_special_tokens({\"additional_special_tokens\": [AddedToken(\"\\n\")]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "6ede2fee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[33356, 18, 60000, 33356, 19]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wrapped_tokenizer.encode(\"Line 1\\nLine 2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "2bf2c78e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[33356, 18, 60000, 33356, 19]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wrapped_tokenizer.encode(\"Line 1\\n Line 2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fe3e3e9f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10289032"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "encodings = wrapped_tokenizer(sample_corpus_lines)\n",
    "sum([len(e) for e in encodings[\"input_ids\"]])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75a3b18c",
   "metadata": {},
   "source": [
    "#### compare to bert"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "05f25d40",
   "metadata": {},
   "outputs": [],
   "source": [
    "BERT_TOKENIZER = BertTokenizerFast.from_pretrained(\"bert-base-multilingual-cased\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1419d7d8",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Token indices sequence length is longer than the specified maximum sequence length for this model (939 > 512). Running this sequence through the model will result in indexing errors\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "13776455"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "encodings = BERT_TOKENIZER(sample_corpus_lines)\n",
    "sum([len(e) for e in encodings[\"input_ids\"]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "59fce8e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'input_ids': [[42, 19183, 19079, 19362, 19150, 22702, 20276, 19313, 19078, 19509, 19278, 19089], [20080, 20531, 23290, 19386, 19108, 19464, 19092, 19381, 20001, 20699, 32]], 'token_type_ids': [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wrapped_tokenizer(sample_corpus_lines[:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "549a9141",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'👅 🍭'"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wrapped_tokenizer.decode(wrapped_tokenizer.encode(\"👅 🍭\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "7a4455d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2.46 s, sys: 0 ns, total: 2.46 s\n",
      "Wall time: 2.46 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "for _ in range(1000):\n",
    "    for _ in range(2):\n",
    "        _ = BERT_TOKENIZER(line)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "b7a9cb06",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 4.76 s, sys: 0 ns, total: 4.76 s\n",
      "Wall time: 1.64 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "for _ in range(1000):\n",
    "    _ = BERT_TOKENIZER([line] * 2, return_tensors=\"pt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "1871108c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[  101, 10531,   102,     0,     0,     0,     0,     0,     0,     0],\n",
       "        [  101, 10111, 10531,   102,     0,     0,     0,     0,     0,     0]])"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BERT_TOKENIZER(\n",
    "    [\"this\", \"and this\"],\n",
    "    return_tensors=\"pt\",\n",
    "    truncation=True,\n",
    "    max_length=10,\n",
    "    padding=\"max_length\",\n",
    ")[\"input_ids\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3367157c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# # compare tokens for different vocab sizes\n",
    "# 10619558 -  50k\n",
    "#  9926038 - 100k\n",
    "#  9806614 - 120k\n",
    "# 13753621 - 120k (bert)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c5edf72",
   "metadata": {},
   "source": [
    "### Test Loading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f7522373",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tokenizers import AddedToken\n",
    "from transformers import PreTrainedTokenizerFast\n",
    "\n",
    "custom_tokenizer = PreTrainedTokenizerFast(\n",
    "    tokenizer_file=\"tmp/tokenizer_60k.json\",\n",
    "    unk_token=\"[UNK]\",\n",
    "    pad_token=\"[PAD]\",\n",
    ")\n",
    "custom_tokenizer.add_special_tokens({\"additional_special_tokens\": [AddedToken(\"\\n\")]});"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "72a11f6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[33356, 18, 60000, 33356, 19]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custom_tokenizer.encode(\"Line 1\\n Line 2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8f3b5378",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ff0fc103",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "da9e69d9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "d273a78b",
   "metadata": {},
   "source": [
    "## Playground"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b75d5305",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"1\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "a3983b8f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from suno_utils.utils.text import read_json, read_jsonl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7663d683",
   "metadata": {},
   "outputs": [],
   "source": [
    "# verify\n",
    "mm = np.memmap(\"/mnt/data/georg/data/chirp_v1/combo_val.bin\", dtype=np.uint16, mode=\"r\")\n",
    "metas = read_jsonl(\"/mnt/data/georg/data/chirp_v1/combo_metas_val.jsonl\")\n",
    "mm = mm.reshape(-1, 3375, 9)\n",
    "assert len(mm) == len(metas)\n",
    "assert mm[:100, :, 0].min() >= 0\n",
    "assert mm[:100, :, 0].max() <= 1000 + 1\n",
    "assert mm[:100, :, 1:].min() >= 0\n",
    "assert mm[:100, :, 1:].max() <= 4096 + 2\n",
    "assert mm[:, 1::3, 1:].min() == 4096\n",
    "assert mm[:, 2::3, 1:].min() == 4096"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b65ea3de",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6200\n"
     ]
    }
   ],
   "source": [
    "# randomly listen to some stuff\n",
    "from suno_utils.tasks.dac import EMBEDDING_RATE as CODEC_EMBEDDING_RATE\n",
    "from suno_utils.tasks.dac import decode as codec_decode\n",
    "\n",
    "mm = np.memmap(\"/mnt/data/georg/data/chirp_v1/combo_val.bin\", dtype=np.uint16, mode=\"r\")\n",
    "mm = mm.reshape(-1, 3375, 9)\n",
    "test_metas = read_jsonl(\"/mnt/data/georg/data/chirp_v1/combo_metas_val.jsonl\")\n",
    "test_info = read_json(\"/mnt/data/georg/data/chirp_v1/combo_info_val.json\")\n",
    "assert len(test_metas) == len(mm)\n",
    "idx_list = list(range(len(test_metas)))\n",
    "# random.shuffle(idx_list)\n",
    "# idx_list = [idx for idx in idx_list if \"text\" in test_metas[idx]]\n",
    "print(len(mm))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "72b96934",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "combo_info_tr.json   combo_metas_tr.jsonl   combo_tr.bin\r\n",
      "combo_info_val.json  combo_metas_val.jsonl  combo_val.bin\r\n"
     ]
    }
   ],
   "source": [
    "!ls /mnt/data/georg/data/chirp_v1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ca145de1",
   "metadata": {},
   "outputs": [],
   "source": [
    "from suno_utils.tasks.dac import preload_models as preload_codec_models\n",
    "\n",
    "_ = preload_codec_models(\"/mnt/data/georg/tmp/d_codec_25x8.pt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "1a8d5790",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tags: ['Rap']\n",
      "text: None\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<audio controls=\"controls\" autobuffer=\"autobuffer\" style=\"\">\n",
       "  <source 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\"/>\n",
       "  Your browser does not support the audio element.\n",
       "</audio>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import random\n",
    "\n",
    "# show text and audio\n",
    "# idx = random.choice(idx_list)\n",
    "idx = random.choice(test_info[\"genius_hq_foreign\"][\"idx_list\"])\n",
    "# print(len(test_metas[idx][\"tokens\"]), \"tokens\")\n",
    "print(\"tags:\", test_metas[idx].get(\"tags\"))\n",
    "print(\"text:\", test_metas[idx].get(\"text\"))\n",
    "arr = mm[idx, 1:].copy().astype(np.int16)[:, 1:]\n",
    "pad_idx_arr = np.where(arr == 4096)[0]\n",
    "if len(pad_idx_arr) > 0:\n",
    "    arr = arr[: pad_idx_arr[0], :]\n",
    "codec_decode(arr[2::3]).play()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0fe02f5f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7ab96f2e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "890ee199",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.14"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}