{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "c666bc86", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T05:00:39.776818Z", "start_time": "2024-02-16T05:00:39.648020Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "a10-yul-dev-node-444\r\n" ] } ], "source": [ "!echo $HOSTNAME" ] }, { "cell_type": "code", "execution_count": 2, "id": "08218f19", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T05:00:39.899486Z", "start_time": "2024-02-16T05:00:39.896004Z" } }, "outputs": [], "source": [ "import os\n", "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"\"" ] }, { "cell_type": "code", "execution_count": 3, "id": "76fc0b2c", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T05:00:40.531393Z", "start_time": "2024-02-16T05:00:40.528780Z" } }, "outputs": [], "source": [ "# vocab: \n", "# 0-60_000 text\n", "# 1x0-3999 semantic\n", "# 8x0-4095 coarse\n", "\n", "# 4000 semantic pad token\n", "# 4001 semantic infer token\n", "# 2048 coarse pad token\n", "# 2049 coarse infer token\n", "\n", "# Memmaps:\n", "# Nx9x3584 for audio tokens\n", "# Jsons:\n", "# N*Dict with meta keys \n", "# \"dataset\"\n", "# \"original_id\", \"original_duration_s\",\n", "# \"start_s\", \"end_s\", \n", "# \"text_segments\", \"private_text_segments\",\n", "# \"text\", \"private_text\",\n", "# \"tags\", \"private_tags\",\n", "# \"views\",\n", "# Dict with meta keys {\"dataset\": [\"idx_list\"]}\n", "\n", "# Bundles (mert_v2_2x1k & dac_2c_25_8):\n", "# s3://suno-data/datasets/bundles/\n", "# v1/youtube_music\n", "# v1/genius_hq\n", "# v1/jamendo\n", "# v1/imslp\n", "# v2/pond5\n", "# v2/deezer\n", "# v2/ytm_tagged\n", "# v2/ytm_mb" ] }, { "cell_type": "code", "execution_count": 4, "id": "ce43e8ad", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T05:00:43.006930Z", "start_time": "2024-02-16T05:00:41.047673Z" } }, "outputs": [], "source": [ "from matplotlib import pyplot as plt\n", "\n", "import sys\n", "\n", "sys.path.insert(0, \"/home/tony/Work/glockenspiel/sunoGPT/scripts/\")\n", "\n", "from data_preparation_7b import *" ] }, { "cell_type": "code", "execution_count": 5, "id": "5164dde2", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T05:00:43.010975Z", "start_time": "2024-02-16T05:00:43.008916Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "4000 2048\n" ] } ], "source": [ "print(SEMANTIC_CODEBOOK_SIZE, COARSE_CODEBOOK_SIZE)" ] }, { "cell_type": "code", "execution_count": 8, "id": "27f54cb0", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T05:01:06.251095Z", "start_time": "2024-02-16T05:01:06.248637Z" } }, "outputs": [], "source": [ "OUT_DATA_DIR = \"/app/suno/data/chirp_v3_ft_classical_4min\"\n", "os.makedirs(OUT_DATA_DIR, exist_ok=True)\n", "METAS_DIR = os.path.join(os.getcwd(), \"metadata\")\n", "NJOBS = 60\n", "CHUNKSIZE = 60" ] }, { "cell_type": "code", "execution_count": 9, "id": "d188ba34", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T05:01:09.890213Z", "start_time": "2024-02-16T05:01:09.887957Z" } }, "outputs": [], "source": [ "# aws s3 cp s3://suno-data/georg/data/chirp_v2_5/filtered_metas/genius_hq.jsonl /app/suno/data/chirp_v3/metadata/\n", "# aws s3 cp s3://suno-data/georg/data/chirp_v2_5/filtered_metas/youtube_music.jsonl /app/suno/data/chirp_v3/metadata/\n", "# aws s3 cp s3://suno-data/georg/data/chirp_v2_5/filtered_metas/jamendo.jsonl /app/suno/data/chirp_v3/metadata/\n", "# aws s3 cp s3://suno-data/georg/data/chirp_v2_5/filtered_metas/imslp.jsonl /app/suno/data/chirp_v3/metadata/\n", "# aws s3 cp s3://suno-data/georg/data/chirp_v2_5/filtered_metas/pond5_music.jsonl /app/suno/data/chirp_v3/metadata/\n", "# aws s3 cp s3://suno-data/georg/data/chirp_v2_5/filtered_metas/deezer.jsonl /app/suno/data/chirp_v3/metadata/\n", "# aws s3 cp s3://suno-data/georg/data/chirp_v2_5/filtered_metas/ytm_tagged.jsonl /app/suno/data/chirp_v3/metadata/\n", "# aws s3 cp s3://suno-data/georg/data/chirp_v2_5/filtered_metas/musescore.jsonl /app/suno/data/chirp_v3/metadata/\n", "# aws s3 cp s3://suno-data/georg/data/chirp_v2_5/filtered_metas/ytm_mb.jsonl /app/suno/data/chirp_v3/metadata/" ] }, { "cell_type": "code", "execution_count": 10, "id": "b30bfb77", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T05:01:12.064058Z", "start_time": "2024-02-16T05:01:10.421274Z" } }, "outputs": [], "source": [ "# load manifests of IDs and text and tags etc\n", "meta_info_map = {\n", " # \"genius_hq\": {m[\"id\"]: m for m in read_jsonl(os.path.join(\"/app/suno/data/chirp_v3_ft_v1\", \"genius_hq_v13.jsonl\"))},\n", " # \"youtube_music\": {m[\"id\"]: m for m in read_jsonl(os.path.join(METAS_DIR, \"youtube_music.jsonl\"))},\n", " # \"jamendo\": {m[\"id\"]: m for m in read_jsonl(os.path.join(METAS_DIR, \"jamendo.jsonl\"))},\n", " \"imslp\": {m[\"id\"]: m for m in read_jsonl(os.path.join(METAS_DIR, \"imslp_filtered.jsonl\"))},\n", " \"pond5_music\": {m[\"id\"]: m for m in read_jsonl(os.path.join(METAS_DIR, \"pond5_music_filtered.jsonl\"))},\n", " # \"deezer\": {m[\"id\"]: m for m in read_jsonl(os.path.join(METAS_DIR, \"deezer.jsonl\"))},\n", " # \"ytm_tagged\": {m[\"id\"]: m for m in read_jsonl(os.path.join(METAS_DIR, \"ytm_tagged.jsonl\"))},\n", " # \"musescore\": {m[\"id\"]: m for m in read_jsonl(os.path.join(METAS_DIR, \"musescore.jsonl\"))},\n", " # \"ytm_mb\": {m[\"id\"]: m for m in read_jsonl(os.path.join(METAS_DIR, \"ytm_mb.jsonl\"))},\n", "}" ] }, { "cell_type": "code", "execution_count": 11, "id": "1b551c83", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T05:01:14.122852Z", "start_time": "2024-02-16T05:01:14.120728Z" } }, "outputs": [], "source": [ "meta_cutoff_freq = {}" ] }, { "cell_type": "code", "execution_count": 13, "id": "2a01e35c", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T05:02:17.426753Z", "start_time": "2024-02-16T05:02:10.724702Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "start prepare data\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:03<00:00, 3.55s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "1 hours of pond5_music\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:03<00:00, 3.03s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "7 hours of imslp\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "# (start_idx, end_idx), n_archives_semantic, n_archives_coarse\n", "datasets = [\n", "# (\"youtube_music\", \"v1\", (0, 1), 1, 1),\n", "# (\"genius_hq\", \"v1\", (0, 1), 1, 1),\n", " (\"pond5_music\", \"v2\", (0, 3), 1, 1),\n", " (\"imslp\", \"v1\", (0, 1), 1, 1),\n", "# (\"jamendo\", \"v1\", (0, 1), 1, 1),\n", "# (\"deezer\", \"v2\", (0, 1), 1, 1),\n", "# (\"ytm_tagged\", \"v2\", (0, 1), 1, 1),\n", "# (\"musescore\", \"v2\", (0, 1), 1, 1),\n", " # (\"ytm_mb\", \"v2\", (0, 1), 1, 1),\n", "]\n", "prep_data(\n", " datasets,\n", " out_data_dir=OUT_DATA_DIR,\n", " meta_info_map=meta_info_map,\n", " meta_cutoff_freq=meta_cutoff_freq, # TODO: This arg should be removed in the longer run...\n", " is_val=True,\n", " njobs=NJOBS,\n", " chunksize=CHUNKSIZE,\n", ")" ] }, { "cell_type": "code", "execution_count": 16, "id": "956bd1f3", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T05:02:38.497640Z", "start_time": "2024-02-16T05:02:38.495681Z" } }, "outputs": [], "source": [ "# Stats:\n", "# tot expected: 4.5Tb\n", "# speed for ytm_mb: 53129/200*(3*60+40)/60/60 == 16 hours" ] }, { "cell_type": "code", "execution_count": 18, "id": "a2dfa127", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T05:36:37.068405Z", "start_time": "2024-02-16T05:15:59.836373Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "start prepare data\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 69/69 [16:24<00:00, 14.26s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "1,655 hours of pond5_music\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [04:06<00:00, 24.69s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "5,080 hours of imslp\n" ] } ], "source": [ "# (start_idx, end_idx), n_archives_semantic, n_archives_coarse\n", "datasets = [\n", " # (\"youtube_music\", \"v1\", (1, 4204), 1, 1),\n", " # (\"genius_hq\", \"v1\", (1, 4302), 1, 1),\n", " (\"pond5_music\", \"v2\", (3, 4138), 1, 1),\n", " (\"imslp\", \"v1\", (1, 558), 1, 1),\n", " # (\"jamendo\", \"v1\", (1, 112), 1, 1),\n", " # (\"deezer\", \"v2\", (1, 1538), 1, 1),\n", " # (\"ytm_tagged\", \"v2\", (1, 5545), 1, 1),\n", " # (\"musescore\", \"v2\", (1, 33), 1, 1),\n", "# (\"ytm_mb\", \"v2\", (1, 53129), 1, 1),\n", "# (\"ytm_mb\", \"v2\", (1, 50001), 1, 1),\n", "]\n", "prep_data(\n", " datasets,\n", " out_data_dir=OUT_DATA_DIR,\n", " meta_info_map=meta_info_map,\n", " meta_cutoff_freq=meta_cutoff_freq, # TODO: This arg should be removed in the longer run...\n", " is_val=False,\n", " njobs=NJOBS,\n", " chunksize=CHUNKSIZE,\n", ")" ] }, { "cell_type": "code", "execution_count": 19, "id": "d169a93b", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T05:36:37.082498Z", "start_time": "2024-02-16T05:36:37.070150Z" } }, "outputs": [ { "ename": "NameError", "evalue": "name 'BREAK' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[19], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mBREAK\u001b[49m\n", "\u001b[0;31mNameError\u001b[0m: name 'BREAK' is not defined" ] } ], "source": [ "BREAK" ] }, { "cell_type": "code", "execution_count": 33, "id": "daa65303", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T14:46:14.174571Z", "start_time": "2024-02-16T14:46:14.156997Z" } }, "outputs": [], "source": [ "# verify\n", "mm = np.memmap(os.path.join(OUT_DATA_DIR, \"data_val.bin\"), dtype=np.uint16, mode=\"r\")\n", "metas = read_jsonl(os.path.join(OUT_DATA_DIR, \"metas_val.jsonl\"))\n", "mm = mm.reshape(-1, N_TOKENS_AUDIO, 13)\n", "assert(len(mm) == len(metas))\n", "assert(mm[:100,:,0].min() >= 0)\n", "assert(mm[:100,:,0].max() <= 4000)\n", "assert(mm[:100,:,1:].min() >= 0)\n", "assert(mm[:100,:,1:].max() <= 2048)" ] }, { "cell_type": "code", "execution_count": 34, "id": "f028e264", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T14:46:18.953006Z", "start_time": "2024-02-16T14:46:14.783566Z" } }, "outputs": [], "source": [ "# verify\n", "mm = np.memmap(os.path.join(OUT_DATA_DIR, \"data_tr.bin\"), dtype=np.uint16, mode=\"r\")\n", "metas = read_jsonl(os.path.join(OUT_DATA_DIR, \"metas_tr.jsonl\"))\n", "mm = mm.reshape(-1, N_TOKENS_AUDIO, 13)\n", "assert(len(mm) == len(metas))\n", "assert(mm[:100,:,0].min() >= 0)\n", "assert(mm[:100,:,0].max() <= 4000)\n", "assert(mm[:100,:,1:].min() >= 0)\n", "assert(mm[:100,:,1:].max() <= 2048)" ] }, { "cell_type": "code", "execution_count": 35, "id": "bcc0709a", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T14:46:22.410814Z", "start_time": "2024-02-16T14:46:19.798387Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "169523\n" ] } ], "source": [ "metas_tr = []\n", "with open(\"/app/suno/data/chirp_v3_ft_classical_4min/metas_tr.jsonl\", \"r\") as fp:\n", " for line in fp.readlines():\n", " meta = json.loads(line)\n", " metas_tr.append(meta)\n", "print(len(metas_tr))" ] }, { "cell_type": "code", "execution_count": 36, "id": "ead2c21b", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T14:46:22.414950Z", "start_time": "2024-02-16T14:46:22.412374Z" } }, "outputs": [ { "data": { "text/plain": [ "2648.796875" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(metas_tr) / 8 / 4 / 2" ] }, { "cell_type": "code", "execution_count": 46, "id": "4aae6eed", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T14:47:00.327774Z", "start_time": "2024-02-16T14:47:00.324863Z" } }, "outputs": [ { "data": { "text/plain": [ "{'dataset': 'imslp',\n", " 'id': '46d4a4ba-188c-409c-9baf-44830d6c9abf',\n", " 'start_s': 240.32,\n", " 'end_s': 304.8,\n", " 'original_duration_s': 304.8,\n", " 'vocal_start_s': None,\n", " 'vocal_end_s': None,\n", " 'tags': ['baroque',\n", " 'unspecified (includes: flute ; harpsichord ; 2 violins)',\n", " 'musical offering',\n", " ' (orch. i. markevitch)',\n", " 'johann sebastian bach'],\n", " 'tags_private': ['baroque',\n", " 'Bach',\n", " 'unspecified (includes: flute ; harpsichord ; 2 violins)',\n", " 'BWV 1079 (orch. I. Markevitch)',\n", " 'Johann Sebastian',\n", " 'musical offering',\n", " 'Musical Offering',\n", " ' (orch. i. markevitch)',\n", " 'johann sebastian bach']}" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "metas_tr[100200]" ] }, { "cell_type": "code", "execution_count": 47, "id": "ee6cb998", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T14:47:31.732180Z", "start_time": "2024-02-16T14:47:31.649090Z" } }, "outputs": [ { "data": { "text/plain": [ "(124314, 114365)" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "all_ids = set(list(meta_info_map[\"imslp\"].keys()))\n", "all_metas_tr_ids = set(m[\"id\"] for m in metas_tr)\n", "len(all_metas_tr_ids), len(all_ids)" ] }, { "cell_type": "code", "execution_count": 48, "id": "1a818c4a", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T14:47:36.494088Z", "start_time": "2024-02-16T14:47:36.476892Z" } }, "outputs": [ { "data": { "text/plain": [ "['2a446313-ccc0-484e-87ad-a7281eff527c',\n", " '1c57bb59-c043-4d8e-890f-259a97fc1932',\n", " 'fa8c497d-aeaf-46b1-9699-a68e178b0172',\n", " 'eaebf5be-49f3-46e8-9821-b7016da79a81',\n", " '460331c3-b018-40a0-a1f8-a12b41ada8ac']" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "list(all_ids.difference(all_metas_tr_ids))[-5:]" ] }, { "cell_type": "code", "execution_count": 49, "id": "1336afe6", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T14:47:37.225922Z", "start_time": "2024-02-16T14:47:37.223127Z" } }, "outputs": [ { "data": { "text/plain": [ "{'id': '460331c3-b018-40a0-a1f8-a12b41ada8ac',\n", " 'tags': ['romantic',\n", " '18 liebeslieder waltzes',\n", " 'johannes brahms',\n", " ' (arr. j.a. kawarsky)',\n", " 'piano 4-hands'],\n", " 'private_tags': ['romantic',\n", " '18 liebeslieder waltzes',\n", " 'johannes brahms',\n", " 'Johannes',\n", " '18 Liebeslieder Waltzes',\n", " 'Brahms',\n", " 'Op. 52 (arr. J.A. Kawarsky)',\n", " ' (arr. j.a. kawarsky)',\n", " 'piano 4-hands']}" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "meta_info_map[\"imslp\"][\"460331c3-b018-40a0-a1f8-a12b41ada8ac\"]" ] }, { "cell_type": "code", "execution_count": 56, "id": "74cb3544", "metadata": { "ExecuteTime": { "end_time": "2024-02-16T14:50:19.146258Z", "start_time": "2024-02-16T14:50:18.968832Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'dataset': 'pond5_music', 'id': '231072351-bach-goldberg-variations-aria-performed-concert-pianist', 'start_s': 0.0, 'end_s': 170.32, 'original_duration_s': 170.32, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['beethoven', 'gershwin', 'reverie', 'clair de lune', 'moonlight sonata', 'handel', 'moonlight', 'schubert', 'vivaldi', 'relaxing', 'piano solo', 'goldberg variations', 'albeniz', 'albinoni', 'concert', 'nocturne', 'medium tempo', 'bach', 'debussy', 'piano', 'classic', 'mozart', 'erik satie', 'chopin', 'classical music', 'romantic', 'tchaikovsky', 'documentary', 'liszt', 'Schumann', 'advertisement', 'pianist', 'satie', 'dreamy', 'meditation', 'Background', 'johann sebastian bach', 'classical', 'Bach Goldberg Variations Aria (Performed by A Concert Pianist)', 'inspirational', 'corporate', 'classical piano', 'mahler', 'aria', 'rachmaninoff', 'ave maria', 'cinematic', 'adagio', \"Bach's Goldberg Variations Aria. It's perfect for for your all kind of commercial or non commercial purposes and background music needs including YouTube videos, time laps, education, documentary, tutorials, storytelling, film trailers, advertisements, drone videos, video games, social media ads, corporate and business presentations. Also it's perfect for meditation, spa, yoga, stress relief.\", 'ravel', 'grieg', 'Camille Saint Saens']}\n", "{'dataset': 'imslp', 'id': '96200183-6ce9-499b-825e-ae142d1cfea9', 'start_s': 0.0, 'end_s': 240.32, 'original_duration_s': 306.56, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['kindertotenlieder', 'gustav mahler', 'romantic', 'orchestra'], 'tags_private': ['romantic', 'Mahler', 'kindertotenlieder', 'orchestra', 'gustav mahler', 'Gustav', 'Kindertotenlieder']}\n", "{'dataset': 'imslp', 'id': '96200183-6ce9-499b-825e-ae142d1cfea9', 'start_s': 240.32, 'end_s': 306.56, 'original_duration_s': 306.56, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['kindertotenlieder', 'gustav mahler', 'romantic', 'orchestra'], 'tags_private': ['romantic', 'Mahler', 'kindertotenlieder', 'orchestra', 'gustav mahler', 'Gustav', 'Kindertotenlieder']}\n", "{'dataset': 'imslp', 'id': '3548371e-01de-4d44-8cdd-88707282f355', 'start_s': 0.0, 'end_s': 240.32, 'original_duration_s': 395.24, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['kindertotenlieder', 'gustav mahler', 'romantic', 'orchestra'], 'tags_private': ['romantic', 'Mahler', 'kindertotenlieder', 'orchestra', 'gustav mahler', 'Gustav', 'Kindertotenlieder']}\n", "{'dataset': 'imslp', 'id': '3548371e-01de-4d44-8cdd-88707282f355', 'start_s': 240.32, 'end_s': 395.24, 'original_duration_s': 395.24, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['kindertotenlieder', 'gustav mahler', 'romantic', 'orchestra'], 'tags_private': ['romantic', 'Mahler', 'kindertotenlieder', 'orchestra', 'gustav mahler', 'Gustav', 'Kindertotenlieder']}\n", "{'dataset': 'imslp', 'id': 'acb57e75-9b28-4d0e-a618-74793bb045b3', 'start_s': 0.0, 'end_s': 240.32, 'original_duration_s': 267.08, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['kindertotenlieder', 'gustav mahler', 'romantic', 'orchestra'], 'tags_private': ['romantic', 'Mahler', 'kindertotenlieder', 'orchestra', 'gustav mahler', 'Gustav', 'Kindertotenlieder']}\n", 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Sinfonie (Ausschnitte) (Giuseppe Sinopoli's intorductory commentary on Gustav Mahler's Four\", '3 trumpets (f', 'b♭', 'Mahler', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'Gustav', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', \"eine einfuhrung von giuseppe sinopoli in gustav mahlers 4. sinfonie (ausschnitte) (giuseppe sinopoli's intorductory commentary on gustav mahler's four\", 'gustav mahler']}\n", "{'dataset': 'imslp', 'id': '9c8ffeb0-ade1-4cbd-ad9d-a123754f2cd0', 'start_s': 0.0, 'end_s': 240.32, 'original_duration_s': 459.52, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['3 trumpets (f', 'symphonie in g major', 'b♭', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler'], 'tags_private': ['3 trumpets (f', 'symphonie in g major', 'b♭', 'Mahler', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', 'Symphonie No. 4 in G Major', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'Gustav', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler']}\n", "{'dataset': 'imslp', 'id': '9c8ffeb0-ade1-4cbd-ad9d-a123754f2cd0', 'start_s': 240.32, 'end_s': 459.52, 'original_duration_s': 459.52, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['3 trumpets (f', 'symphonie in g major', 'b♭', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler'], 'tags_private': ['3 trumpets (f', 'symphonie in g major', 'b♭', 'Mahler', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', 'Symphonie No. 4 in G Major', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'Gustav', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler']}\n", "{'dataset': 'imslp', 'id': '8dfe448d-70df-416b-89d0-7004c4d8151c', 'start_s': 0.0, 'end_s': 240.32, 'original_duration_s': 440.56, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['3 trumpets (f', 'symphonie in g major', 'b♭', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler'], 'tags_private': ['3 trumpets (f', 'symphonie in g major', 'b♭', 'Mahler', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', 'Symphonie No. 4 in G Major', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'Gustav', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler']}\n", "{'dataset': 'imslp', 'id': '8dfe448d-70df-416b-89d0-7004c4d8151c', 'start_s': 240.32, 'end_s': 440.56, 'original_duration_s': 440.56, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['3 trumpets (f', 'symphonie in g major', 'b♭', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler'], 'tags_private': ['3 trumpets (f', 'symphonie in g major', 'b♭', 'Mahler', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', 'Symphonie No. 4 in G Major', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'Gustav', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler']}\n", "{'dataset': 'imslp', 'id': '56e8cdf7-2c7f-480f-84c3-bc6bd05f537f', 'start_s': 0.0, 'end_s': 240.32, 'original_duration_s': 311.44, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['3 trumpets (f', 'b♭', 'symphony in g major', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler'], 'tags_private': ['3 trumpets (f', 'b♭', 'symphony in g major', 'Mahler', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'Symphony No. 4 in G Major', '4th also piccolo)', 'glockenspiel', 'strings', 'bass drum', 'Gustav', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler']}\n", "{'dataset': 'imslp', 'id': '56e8cdf7-2c7f-480f-84c3-bc6bd05f537f', 'start_s': 240.32, 'end_s': 311.44, 'original_duration_s': 311.44, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['3 trumpets (f', 'b♭', 'symphony in g major', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler'], 'tags_private': ['3 trumpets (f', 'b♭', 'symphony in g major', 'Mahler', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'Symphony No. 4 in G Major', '4th also piccolo)', 'glockenspiel', 'strings', 'bass drum', 'Gustav', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler']}\n", "{'dataset': 'imslp', 'id': '9331dda7-ca00-439b-9f2e-55c129538529', 'start_s': 0.0, 'end_s': 240.32, 'original_duration_s': 466.64, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['3 trumpets (f', 'b♭', 'symphony in g major', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler'], 'tags_private': ['3 trumpets (f', 'b♭', 'symphony in g major', 'Mahler', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'Symphony No. 4 in G Major', '4th also piccolo)', 'glockenspiel', 'strings', 'bass drum', 'Gustav', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler']}\n", "{'dataset': 'imslp', 'id': '9331dda7-ca00-439b-9f2e-55c129538529', 'start_s': 240.32, 'end_s': 466.64, 'original_duration_s': 466.64, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['3 trumpets (f', 'b♭', 'symphony in g major', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler'], 'tags_private': ['3 trumpets (f', 'b♭', 'symphony in g major', 'Mahler', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'Symphony No. 4 in G Major', '4th also piccolo)', 'glockenspiel', 'strings', 'bass drum', 'Gustav', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler']}\n", "{'dataset': 'imslp', 'id': '43636276-7018-4b60-8cf5-d1057646a57f', 'start_s': 0.0, 'end_s': 240.32, 'original_duration_s': 449.68, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['3 trumpets (f', 'symphonie in g major', 'b♭', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler'], 'tags_private': ['3 trumpets (f', 'symphonie in g major', 'b♭', 'Mahler', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', 'Symphonie No. 4 in G Major', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'Gustav', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler']}\n", "{'dataset': 'imslp', 'id': '43636276-7018-4b60-8cf5-d1057646a57f', 'start_s': 240.32, 'end_s': 449.68, 'original_duration_s': 449.68, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['3 trumpets (f', 'symphonie in g major', 'b♭', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler'], 'tags_private': ['3 trumpets (f', 'symphonie in g major', 'b♭', 'Mahler', '3rd also bass clarinet (b♭)', 'cymbals', '3 bassoons (3rd also contrabassoon)\\n 4 horns (f)', 'tam-tam', 'romantic', 'Symphonie No. 4 in G Major', '3 oboes (3rd also english horn),\\n 3 clarinets (a', 'harp', 'c)(2nd also clarinet (e♭)', 'glockenspiel', '4th also piccolo)', 'strings', 'bass drum', 'Gustav', 'b♭),\\ntimpani', 'triangle', 'sleigh bells', 'gustav mahler']}\n", "{'dataset': 'imslp', 'id': '47602580-79f7-4db3-a3d8-1194352538fc', 'start_s': 0.0, 'end_s': 240.32, 'original_duration_s': 464.88, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['orchestra', 'gustav mahler', 'romantic', 'symphonie '], 'tags_private': ['Symphonie No. 5', 'romantic', 'Mahler', 'orchestra', 'gustav mahler', 'Gustav', 'symphonie ']}\n", "{'dataset': 'imslp', 'id': '47602580-79f7-4db3-a3d8-1194352538fc', 'start_s': 240.32, 'end_s': 464.88, 'original_duration_s': 464.88, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['orchestra', 'gustav mahler', 'romantic', 'symphonie '], 'tags_private': ['Symphonie No. 5', 'romantic', 'Mahler', 'orchestra', 'gustav mahler', 'Gustav', 'symphonie ']}\n", "{'dataset': 'imslp', 'id': '9966eb6a-f4ee-4499-b2cf-cc8d2ca99e0d', 'start_s': 0.0, 'end_s': 240.32, 'original_duration_s': 462.0, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['4 bassoons (4th also contrabassoon)\\n4 horns (f)', 'side drum,\\ncymbals', 'timpani', 'tuba', '2 harps', '3 trombones', 'symphony in d major', '4 flutes', '3 trumpets (f)', 'bells (3)', 'clarinet (e♭),\\n3 clarinets (b♭', 'tam-tam', 'orchestra: piccolo', 'bass clarinet (b♭)', 'a)', 'early 20th century', 'glockenspiel', 'strings', 'bass drum', '4 oboes (4th also english horn)', 'triangle', 'gustav mahler'], 'tags_private': ['4 bassoons (4th also contrabassoon)\\n4 horns (f)', 'side drum,\\ncymbals', 'timpani', 'tuba', '2 harps', 'Mahler', '3 trombones', 'symphony in d major', '4 flutes', '3 trumpets (f)', 'bells (3)', 'clarinet (e♭),\\n3 clarinets (b♭', 'tam-tam', 'orchestra: piccolo', 'bass clarinet (b♭)', 'a)', 'early 20th century', 'glockenspiel', 'strings', 'bass drum', 'Gustav', '4 oboes (4th also english horn)', 'Symphony No. 9 in D Major', 'triangle', 'gustav mahler']}\n", "{'dataset': 'imslp', 'id': '9966eb6a-f4ee-4499-b2cf-cc8d2ca99e0d', 'start_s': 240.32, 'end_s': 462.0, 'original_duration_s': 462.0, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['4 bassoons (4th also contrabassoon)\\n4 horns (f)', 'side drum,\\ncymbals', 'timpani', 'tuba', '2 harps', '3 trombones', 'symphony in d major', '4 flutes', '3 trumpets (f)', 'bells (3)', 'clarinet (e♭),\\n3 clarinets (b♭', 'tam-tam', 'orchestra: piccolo', 'bass clarinet (b♭)', 'a)', 'early 20th century', 'glockenspiel', 'strings', 'bass drum', '4 oboes (4th also english horn)', 'triangle', 'gustav mahler'], 'tags_private': ['4 bassoons (4th also contrabassoon)\\n4 horns (f)', 'side drum,\\ncymbals', 'timpani', 'tuba', '2 harps', 'Mahler', '3 trombones', 'symphony in d major', '4 flutes', '3 trumpets (f)', 'bells (3)', 'clarinet (e♭),\\n3 clarinets (b♭', 'tam-tam', 'orchestra: piccolo', 'bass clarinet (b♭)', 'a)', 'early 20th century', 'glockenspiel', 'strings', 'bass drum', 'Gustav', '4 oboes (4th also english horn)', 'Symphony No. 9 in D Major', 'triangle', 'gustav mahler']}\n", "{'dataset': 'imslp', 'id': 'b7d4d581-8c06-4b83-978a-90590c0b6689', 'start_s': 0.0, 'end_s': 40.28, 'original_duration_s': 97.16, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['4 bassoons (4th also contrabassoon)\\n4 horns (f)', 'side drum,\\ncymbals', 'timpani', 'tuba', '2 harps', '3 trombones', 'symphony in d major', '4 flutes', '3 trumpets (f)', 'bells (3)', 'clarinet (e♭),\\n3 clarinets (b♭', 'tam-tam', 'orchestra: piccolo', 'bass clarinet (b♭)', 'a)', 'early 20th century', 'glockenspiel', 'strings', 'bass drum', '4 oboes (4th also english horn)', 'triangle', 'gustav mahler'], 'tags_private': ['4 bassoons (4th also contrabassoon)\\n4 horns (f)', 'side drum,\\ncymbals', 'timpani', 'tuba', '2 harps', 'Mahler', '3 trombones', 'symphony in d major', '4 flutes', '3 trumpets (f)', 'bells (3)', 'clarinet (e♭),\\n3 clarinets (b♭', 'tam-tam', 'orchestra: piccolo', 'bass clarinet (b♭)', 'a)', 'early 20th century', 'glockenspiel', 'strings', 'bass drum', 'Gustav', '4 oboes (4th also english horn)', 'Symphony No. 9 in D Major', 'triangle', 'gustav mahler']}\n", "{'dataset': 'imslp', 'id': 'b7d4d581-8c06-4b83-978a-90590c0b6689', 'start_s': 40.28, 'end_s': 97.16, 'original_duration_s': 97.16, 'vocal_start_s': None, 'vocal_end_s': None, 'tags': ['4 bassoons (4th also contrabassoon)\\n4 horns (f)', 'side drum,\\ncymbals', 'timpani', 'tuba', '2 harps', '3 trombones', 'symphony in d major', '4 flutes', '3 trumpets (f)', 'bells (3)', 'clarinet (e♭),\\n3 clarinets (b♭', 'tam-tam', 'orchestra: piccolo', 'bass clarinet (b♭)', 'a)', 'early 20th century', 'glockenspiel', 'strings', 'bass drum', '4 oboes (4th also english horn)', 'triangle', 'gustav mahler'], 'tags_private': ['4 bassoons (4th also contrabassoon)\\n4 horns (f)', 'side drum,\\ncymbals', 'timpani', 'tuba', '2 harps', 'Mahler', '3 trombones', 'symphony in d major', '4 flutes', '3 trumpets (f)', 'bells (3)', 'clarinet (e♭),\\n3 clarinets (b♭', 'tam-tam', 'orchestra: piccolo', 'bass clarinet (b♭)', 'a)', 'early 20th century', 'glockenspiel', 'strings', 'bass drum', 'Gustav', '4 oboes (4th also english horn)', 'Symphony No. 9 in D Major', 'triangle', 'gustav mahler']}\n" ] } ], "source": [ "for m in metas_tr:\n", " tags_str = \"\".join(m[\"tags\"])\n", " if \"mahler\" in tags_str and \"voice\" not in tags_str and \"chorus\" not in tags_str:\n", " print(m)" ] }, { "cell_type": "code", "execution_count": null, "id": "f5bdf8ac", "metadata": { "ExecuteTime": { "end_time": "2024-01-16T19:22:23.704450Z", "start_time": "2024-01-16T19:22:23.704442Z" } }, "outputs": [], "source": [ "# !du -hs /mnt/data/georg/data/chirp_v2/data_tr.bin\n", "# # 1003G" ] }, { "cell_type": "code", "execution_count": null, "id": "cbcbca32", "metadata": { "ExecuteTime": { "end_time": "2024-01-16T19:22:23.705000Z", "start_time": "2024-01-16T19:22:23.704992Z" } }, "outputs": [], "source": [ "# # randomly listen to some stuff\n", "# from suno_utils.tasks.dac_2c_12cb import preload_models as preload_codec_models\n", "# from suno_utils.tasks.dac_2c_12cb import (\n", "# encode as codec_encode,\n", "# decode as codec_decode, \n", "# EMBEDDING_RATE as CODEC_EMBEDDING_RATE,\n", "# )\n", "# _ = preload_codec_models(\"/app/suno/models/dac_2c_25x12.pt\")\n", "# mm = np.memmap(\"/mnt/localdisk/test_data/data_val.bin\", dtype=np.uint16, mode=\"r\")\n", "# mm = mm.reshape(-1, 3008, 13)\n", "# test_metas = read_jsonl(\"/mnt/localdisk/data/metas_val.jsonl\")\n", "# test_info = read_json(\"/mnt/localdisk/data/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": null, "id": "7008ddc7", "metadata": { "ExecuteTime": { "end_time": "2024-01-16T19:22:23.705751Z", "start_time": "2024-01-16T19:22:23.705744Z" } }, "outputs": [], "source": [ "# # show text and audio\n", "# # idx = random.choice(idx_list)\n", "# # idx = random.choice(test_info[\"pond5_music\"][\"idx_list\"])\n", "# idx = random.choice(test_info[\"genius_hq_lyrics\"][\"idx_list\"])\n", "# # idx = random.choice(test_info[\"musescore_lyrics\"][\"idx_list\"])\n", "# # idx = random.choice(test_info[\"deezer_lyrics\"][\"idx_list\"])\n", "# # idx = random.choice(test_info[\"youtube_music_lyrics_foreign\"][\"idx_list\"])\n", "# # idx_key = random.choice(list(test_info.keys()))\n", "# # print(idx_key)\n", "# # idx = random.choice(test_info[idx_key][\"idx_list\"])\n", "# assert(\"original_duration_s\" in test_metas[idx])\n", "# print(\"tags:\", test_metas[idx].get(\"tags\"))\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", "# a = codec_decode(arr)\n", "# a.play(compress=False)\n", "# print(\"text:\", test_metas[idx].get(\"text\"))\n", "# plt.plot(a.array_float[0])" ] }, { "cell_type": "code", "execution_count": null, "id": "f818ab33", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "87b856f6", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "62fb16fc", "metadata": {}, "source": [ "### try same with train" ] }, { "cell_type": "code", "execution_count": null, "id": "f987040e", "metadata": { "ExecuteTime": { "end_time": "2024-01-16T19:22:23.706431Z", "start_time": "2024-01-16T19:22:23.706422Z" } }, "outputs": [], "source": [ "%matplotlib inline\n", "from matplotlib import pyplot as plt" ] }, { "cell_type": "code", "execution_count": null, "id": "4471a7fb", "metadata": { "ExecuteTime": { "end_time": "2024-01-16T19:22:23.707003Z", "start_time": "2024-01-16T19:22:23.706995Z" } }, "outputs": [], "source": [ "# randomly listen to some stuff\n", "from suno_utils.tasks.dac_2c_12cb import preload_models as preload_codec_models\n", "from suno_utils.tasks.dac_2c_12cb import (\n", " encode as codec_encode,\n", " decode as codec_decode, \n", " EMBEDDING_RATE as CODEC_EMBEDDING_RATE,\n", ")\n", "from suno_utils.utils.text import read_jsonl, read_json\n", "_ = preload_codec_models(\"/app/suno/models/dac_2c_25x12.pt\")\n", "mm = np.memmap(\"/mnt/localdisk/data/data_tr.bin\", dtype=np.uint16, mode=\"r\")\n", "mm = mm.reshape(-1, 3008, 13)\n", "test_metas = read_jsonl(\"/mnt/localdisk/data/metas_tr.jsonl\")\n", "test_info = read_json(\"/mnt/localdisk/data/info_tr.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": null, "id": "ecb73f42", "metadata": { "ExecuteTime": { "end_time": "2024-01-16T19:22:23.707775Z", "start_time": "2024-01-16T19:22:23.707767Z" } }, "outputs": [], "source": [ "import random\n", "# show text and audio\n", "# idx = random.choice(idx_list)\n", "# idx = random.choice(test_info[\"pond5_music\"][\"idx_list\"])\n", "# idx = random.choice(test_info[\"genius_hq_lyrics\"][\"idx_list\"])\n", "idx = random.choice(test_info[\"ytm_mb\"][\"idx_list\"])\n", "# idx = random.choice(test_info[\"musescore_lyrics\"][\"idx_list\"])\n", "# idx = random.choice(test_info[\"deezer_lyrics\"][\"idx_list\"])\n", "# idx = random.choice(test_info[\"youtube_music_lyrics_foreign\"][\"idx_list\"])\n", "# idx_key = random.choice(list(test_info.keys()))\n", "# print(idx_key)\n", "# idx = random.choice(test_info[idx_key][\"idx_list\"])\n", "assert(\"original_duration_s\" in test_metas[idx])\n", "print(\"tags:\", test_metas[idx].get(\"tags\"))\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", "a = codec_decode(arr)\n", "a.play(compress=False)\n", "print(\"text:\", test_metas[idx].get(\"text\"))\n", "plt.plot(a.array_float[0])" ] }, { "cell_type": "code", "execution_count": null, "id": "ee88a2eb", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "1d977073", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "c2653b41", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "067a561b", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "73c92bda", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "08665ec0", "metadata": {}, "source": [ "## Playground" ] }, { "cell_type": "markdown", "id": "747f0363", "metadata": {}, "source": [ "#### get all tags" ] }, { "cell_type": "code", "execution_count": null, "id": "73286512", "metadata": { "ExecuteTime": { "end_time": "2024-01-16T19:22:23.708439Z", "start_time": "2024-01-16T19:22:23.708431Z" } }, "outputs": [], "source": [ "test_metas = read_jsonl(\"/mnt/data/georg/data/chirp_v2/metas_val.jsonl\")" ] }, { "cell_type": "code", "execution_count": null, "id": "a3ed7922", "metadata": { "ExecuteTime": { "end_time": "2024-01-16T19:22:23.709099Z", "start_time": "2024-01-16T19:22:23.709091Z" } }, "outputs": [], "source": [ "tags = []\n", "for e in train_metas:\n", " tags.extend(e.get(\"tags\", []))" ] }, { "cell_type": "code", "execution_count": null, "id": "2eed69a8", "metadata": { "ExecuteTime": { "end_time": "2024-01-16T19:22:23.709672Z", "start_time": "2024-01-16T19:22:23.709665Z" } }, "outputs": [], "source": [ "vc_tags = pd.Series(tags).value_counts()" ] }, { "cell_type": "code", "execution_count": null, "id": "bf1c83e8", "metadata": { "ExecuteTime": { "end_time": "2024-01-16T19:22:23.710449Z", "start_time": "2024-01-16T19:22:23.710441Z" } }, "outputs": [], "source": [ "vc_tags.head(5)" ] }, { "cell_type": "code", "execution_count": null, "id": "f76f1e83", "metadata": { "ExecuteTime": { "end_time": "2024-01-16T19:22:23.711116Z", "start_time": "2024-01-16T19:22:23.711108Z" } }, "outputs": [], "source": [ "vc_tags = vc_tags.to_frame()" ] }, { "cell_type": "code", "execution_count": null, "id": "6766efb1", "metadata": { "ExecuteTime": { "end_time": "2024-01-16T19:22:23.711665Z", "start_time": "2024-01-16T19:22:23.711658Z" } }, "outputs": [], "source": [ "vc_tags.tail()" ] }, { "cell_type": "code", "execution_count": null, "id": "fece8109", "metadata": { "ExecuteTime": { "end_time": "2024-01-16T19:22:23.712334Z", "start_time": "2024-01-16T19:22:23.712327Z" } }, "outputs": [], "source": [ "a = vc_tags[vc_tags[\"count\"]>=3][\"count\"].to_dict()" ] }, { "cell_type": "code", "execution_count": null, "id": "52e1a982", "metadata": { "ExecuteTime": { "end_time": "2024-01-16T19:22:23.712984Z", "start_time": "2024-01-16T19:22:23.712976Z" } }, "outputs": [], "source": [ "test_metas = read_jsonl(\"/mnt/data/georg/data/chirp_v2/metas_val.jsonl\")\n", "test_info = read_json(\"/mnt/data/georg/data/chirp_v2/info_val.json\")" ] }, { "cell_type": "code", "execution_count": null, "id": "b6b9f19e", "metadata": { "ExecuteTime": { "end_time": "2024-01-16T19:22:23.713793Z", "start_time": "2024-01-16T19:22:23.713785Z" } }, "outputs": [], "source": [ "idx = random.choice(test_info[\"musescore_lyrics\"][\"idx_list\"])\n", "print(idx)\n", "m = test_metas[idx]\n", "re.sub(r\"\\[.*?\\]\", \"\", m[\"text\"])" ] }, { "cell_type": "code", "execution_count": null, "id": "5dffab2d", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "4531aac2", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "f0e1aafb", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "143ac0a7", "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": "3.10.13" }, "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 }