sunbv56/song_dataset

🎵 Vietnamese Song Lyrics and Word Timestamps Dataset

Dataset Summary

The song_dataset provides high-quality Vietnamese song data, including metadata, full lyrics, and particularly word-level timestamps.

This dataset is optimally designed for tasks such as:

• Training and evaluating automatic speech recognition (ASR) models on music.
• Lyrics synchronization (Lyrics Alignment / Karaoke generation).
• Natural language processing (NLP) analysis on song lyrics.

The data is stored in JSONL format and is split into two sets:

• Train split: train.jsonl (approx 230.62 hours of audio)
• Test split: eval.jsonl (approx 20.59 hours of audio)

Data Structure

Each line in the .jsonl file is a JSON object representing a full song, which includes the following fields:

• id (string): A unique identifier for the song.
• title (string): The title of the song.
• artist (string): The performing artist(s).
• album (string): The album containing the song.
• streaming_url (string): A URL to extract the audio stream. Note: These URLs may have a temporary lifespan (token expiration).
• lyrics (string): The complete lyrics of the song, where sentences are separated by a newline character (\n).
• word_timestamps (list of lists of dictionaries): A 2D array representing the timing information for each word. The outer list represents sentences, the inner list represents words within the sentence. Each word object has:
  • start (int): The start time of the word (in milliseconds).
  • end (int): The end time of the word (in milliseconds).
  • word (string): The text content of that word.

Example Data Instance

{
  "id": "ZZ8CC7AZ",
  "title": "Đợi Chờ Bóng Xuân",
  "artist": "Eric Toàn Nguyễn",
  "album": "Trách Duyên Bẽ Bàng",
  "streaming_url": "https://...",
  "lyrics": "Lặng nhìn sương rơi\nMấy mùa mưa qua...",
  "word_timestamps": [
    [
      {"start": 39340, "end": 39850, "word": "Lặng"},
      {"start": 39850, "end": 40340, "word": "nhìn"},
      {"start": 40340, "end": 40850, "word": "sương"},
      {"start": 40850, "end": 43850, "word": "rơi"}
    ],
    [
      {"start": 43860, "end": 44370, "word": "Mấy"},
      {"start": 44370, "end": 44860, "word": "mùa"},
      {"start": 44860, "end": 45870, "word": "mưa"},
      {"start": 45870, "end": 48390, "word": "qua"}
    ]
  ]
}

Usage

from datasets import load_dataset

dataset = load_dataset("<your-hub-username>/<dataset-name>")

# Access the first song in the training set
print(dataset['train'][0]['title'])
print(dataset['train'][0]['lyrics'])