freococo/myanmar_cele_voices

Myanmar Celebrity Voices

A high-quality speech dataset extracted from the official TikTok channel of Myanmar Celebrity TV.

Myanmar Celebrity Voices is a collection of 69,781 short audio segments (≈46 hours total) derived from public TikTok videos by The Official TikTok Channel of Myanmar Celebrity TV — one of the most popular digital media platforms in Myanmar.

The source channel regularly publishes:

• Interviews with Myanmar’s top movie actors and actresses
• Behind-the-scenes moments with singers, comedians, and artists
• Fan Q&As, event clips, lifestyle commentary, and celebrity reactions

These videos represent a rich, spontaneous, and emotionally expressive slice of Myanmar’s modern pop culture — spoken in clear, natural Burmese.

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❤️ Why I Built This

• Myanmar (Burmese) is often labeled a “low-resource language” in the AI world.
• I don’t reject that label because it’s false — I reject it because it reflects global neglect.
• I built this dataset to show what’s possible — to give Myanmar speech the visibility, respect, and technical foundation it deserves.

I care about languages. I care about people being heard.
And if AI is going to learn from voices — I want it to hear mine, ours, Myanmar’s.

If you want your voice to be heard — you must first teach the machines to listen.

---

🕊️ Why It Matters to Me

We will come, and we will go.
But if your voice is integrated into AI technology — it will go on. Forever.

I cannot build you a pyramid like the ancient Egyptians did.
But I can build something more accessible, more global:
A living archive — of your beautiful, sweet, and lovely voices.

Maybe, just maybe — AI will speak our beautiful Myanmar language through your voice.
And I believe it will.
I truly do. 🙂

---

🔍 What's Included

• 69,781 audio-text chunks
• 45 hours of real Burmese speech
• Auto-transcribed captions with timestamps
• Rich video metadata (title, views, likes, hashtags)
• WebDataset-ready .tar.gz for streaming & training

📂 Dataset Structure

This dataset is packaged as a single .tar.gz archive containing paired audio and metadata files in WebDataset format.

Each audio-text pair consists of:

• .mp3 — a short audio chunk extracted from a TikTok video
• .json — aligned metadata including transcript and contextual information

All files are named using UUIDs:

a3f1d9e671a44b88.mp3
a3f1d9e671a44b88.json

Each .json file contains the following fields:

Field	Description
file_name	Name of the chunked audio file
original_file	Source TikTok video’s .mp3 filename
transcript	Burmese caption from TikTok
duration	Duration of the chunk (in seconds)
video_url	Link to the original TikTok video
language	Always "my" (Myanmar)
title	Title of the TikTok video
description	Full video description
view_count	View count at the time of download
like_count	Like count
comment_count	Comment count
repost_count	Repost/share count
channel	Publisher name
upload_date	In YYYYMMDD format
hashtags	List of hashtags from the description
thumbnail	URL to video thumbnail
source	Always: The Official TikTok Channel of Myanmar Celebrity TV

---

All audio-text pairs are organized flatly inside the .tar.gz archive.

The dataset can be streamed or loaded using PyTorch WebDataset, Hugging Face 🤗 Datasets, or custom Python loaders.

🚀 How to Use

This dataset is stored as a .tar.gz archive and is compatible with both 🤗 Hugging Face Datasets and 🧠 WebDataset training pipelines.

---

✅ Load using Hugging Face Datasets (streaming)

from datasets import load_dataset

ds = load_dataset(
    "freococo/myanmar_cele_voices",
    data_files="train/myanmar_cele_voices_000001.tar.gz",
    split="train",
    streaming=True
)

for i, sample in enumerate(ds):
    meta = sample["json"]
    print(f"🎙️ Transcript: {meta.get('transcript')}")
    print(f"🎧 File Name: {meta.get('file_name')}")
    print(f"🎥 Video URL: {meta.get('video_url')}")
    print(f"🕒 Duration: {meta.get('duration')} sec")
    print(f"📺 Channel: {meta.get('channel')}")
    print(f"📅 Upload Date: {meta.get('upload_date')}")
    print(f"📝 Title: {meta.get('title')}")
    print(f"🗣️ Description: {meta.get('description')}")
    print(f"📊 Views: {meta.get('view_count')} | 👍 Likes: {meta.get('like_count')} | 💬 Comments: {meta.get('comment_count')} | 🔁 Reposts: {meta.get('repost_count')}")
    print(f"🏷️ Hashtags: {meta.get('hashtags')}")
    print(f"🌐 Source: {meta.get('source')}")
    print(f"🖼️ Thumbnail: {meta.get('thumbnail')}")
    print("---")

    if i >= 4:
        break  # Show only 5 samples

📌 Tip

To use locally, download the .tar.gz file from Hugging Face:

wget https://huggingface.co/datasets/freococo/myanmar_cele_voices/resolve/main/data/myanmar_cele_voices_000001.tar.gz

Then pass that path into load_dataset() or WebDataset.

🙏 Special Thanks

This dataset would not exist without the incredible creative and journalistic efforts of:

• 📺 Myanmar Celebrity TV and its editorial team
• 🎬 The actors, actresses, singers, and comedians featured in the videos
• 📝 The journalists, editors, producers, and on-screen interviewers
• 🎥 The behind-the-scenes teams capturing moments that matter

These individuals are not just entertainers — they are cultural storytellers.

Their voices, laughter, emotions, and spontaneity have inspired a new generation of AI practitioners, researchers, and developers — not just in Myanmar, but around the world.

They prove that data isn't just numbers — it's memory.
And in the hands of the right generation, it's power.

---

Thank you for giving us your voices.
Now, they may echo in the machines we build — not to replace you,
but to remember you.

🫡🇲🇲🧠📣

⚠️ Limitations

While this dataset offers unprecedented access to Burmese speech in a culturally rich context, it is not without its imperfections.

Here are key limitations you should be aware of:

• Auto-caption errors: All transcripts were generated using TikTok's Myanmar auto-captioning. Based on manual inspection, approximately 30% of segments may contain minor to moderate transcription errors, including:

  • Missing particles or suffixes
  • Spelling inconsistencies
  • Punctuation hallucinations
  • Overlapping speaker boundaries

• No human corrections (yet): No post-processing or human-in-the-loop editing was performed. This dataset reflects raw, real-world performance of automated subtitle systems as used in Myanmar media.

• Vocal variety: While celebrity speech is generally clear and standardized, some clips may include:

  • Fan background voices
  • Music overlays
  • Interjections or noise
  • Rapid or humorous tone shifts

• Underrepresentation of regional dialects: Most speakers use standard Burmese, with minimal representation of ethnic accents or regional variants.

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✅ But Here's the Strength

Even if you deleted every noisy line — one by one — you'd still be left with over 40,000 to 50,000 high-quality speech chunks.

That alone makes this one of the largest publicly available Burmese speech datasets ever released.

It is not perfect — but it is powerful.
It is not corrected — but it is real.
And real voices have always mattered more than perfect ones.

---

📌 Recommendation

If you plan to use this dataset for training high-performance ASR models or speech analytics:

It is strongly recommended to include human-in-the-loop correction, quality filtering, or semi-supervised fine-tuning with aligned text.

📄 License

This dataset is released under a Fair Use / Research-Only License.

It is intended for:

• ✅ Non-commercial research
• ✅ Educational use
• ✅ Language preservation
• ✅ Open AI development for Burmese (Myanmar) speech

All content was sourced from:

The Official TikTok Channel of Myanmar Celebrity TV
🔗 https://www.tiktok.com/@myanmarcelebritytv

Redistribution or use for commercial purposes is strictly prohibited without direct permission from the original content owner.

If you are interested in licensing this content for commercial use, collaboration, or promotional applications, please contact:

📣 https://www.tiktok.com/@myanmarcelebritytv

For full details, see LICENSE.txt

📚 Citation

@misc{freococo2025myanmarcelebrityvoices,
  title        = {Myanmar Celebrity Voices: A WebDataset for Burmese ASR and Speech Research},
  author       = {freococo},
  year         = {2025},
  howpublished = {Hugging Face Datasets},
  url          = {https://huggingface.co/datasets/freococo/myanmar_cele_voices}
}