metadata

dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: duration
      dtype: float64
    - name: sentence
      dtype: string
    - name: uid
      dtype: string
    - name: group_id
      dtype: string
  splits:
    - name: train
      num_bytes: 7809773348
      num_examples: 28720
    - name: valid
      num_bytes: 943113905
      num_examples: 3590
    - name: test
      num_bytes: 1030962019
      num_examples: 3589
  download_size: 9692119244
  dataset_size: 9783849272
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: valid
        path: data/valid-*
      - split: test
        path: data/test-*
license: cc-by-4.0
task_categories:
  - automatic-speech-recognition

🏢 ScreenTalk: S Size Dataset

📌 Overview

ScreenTalk is a structured transcription dataset designed to improve automatic speech recognition (ASR) and natural language processing (NLP) models. It contains transcriptions from diverse screen content, capturing natural dialogues, different speech styles, and realistic conversational patterns.

The S Size of ScreenTalk provides access to the 25% of the dataset, covering multiple languages, genres, and a vast range of dialogues. This dataset is suitable for advanced ASR model training, conversational AI, and dialogue-based applications.

📊 Dataset Features

✅ Large-scale dataset with high-quality transcriptions.
✅ Diverse speech styles, including casual, dramatic, and fast-paced dialogues.
✅ Pre-processed and structured for easy integration into ML pipelines.

📂 Dataset Structure

The dataset is split into:

Train: Majority of the dataset for model training.
Validation: A subset for tuning hyperparameters.
Test: Held-out data for performance evaluation.

Data Format

The dataset is stored in Parquet format for efficient access and handling, with the following columns:

Column	Description
`sentence`	Transcribed text
`audio`	corresponding audio file

📥 Accessing the Full Dataset

Authorization Process

Click the payment link below and complete the purchase.
Use the same email as your Hugging Face account during payment.
After payment, click 'Agree and Access Repository'.
Wait for verification. Once approved, you will be granted access.

This dataset is available for premium users. If you’d like full access, please complete your purchase using the link below:

🔗 Purchase S Size Dataset ($99/year)

For any questions, feel free to contact us.

📧 Contact: fj11

🚀 Use Cases

ASR Model Training: Train state-of-the-art speech recognition models.
Conversational AI: Enhance dialogue systems and virtual assistants.
Multilingual Speech Processing: Improve cross-lingual ASR applications.
Linguistic Research: Study spoken language variations across different contexts.

📜 License

The dataset is provided under a commercial license. Unauthorized redistribution or public sharing is strictly prohibited.

📢 Stay Updated

We continuously update and expand the dataset with new content and languages. Subscribe to our updates to stay informed!