bbbb

This is a merged speech dataset containing 345 audio segments from 2 source datasets.

Dataset Information

• Total Segments: 345
• Speakers: 7
• Languages: en
• Emotions: happy, sad, neutral, angry
• Original Datasets: 2

Dataset Structure

Each example contains:

• audio: Audio file (WAV format, 16kHz sampling rate)
• text: Transcription of the audio
• speaker_id: Unique speaker identifier (made unique across all merged datasets)
• emotion: Detected emotion (neutral, happy, sad, etc.)
• language: Language code (en, es, fr, etc.)

Usage

Loading the Dataset

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("Codyfederer/bbbb")

# Access the training split
train_data = dataset["train"]

# Example: Get first sample
sample = train_data[0]
print(f"Text: {sample['text']}")
print(f"Speaker: {sample['speaker_id']}")
print(f"Language: {sample['language']}")
print(f"Emotion: {sample['emotion']}")

# Play audio (requires audio libraries)
# sample['audio']['array'] contains the audio data
# sample['audio']['sampling_rate'] contains the sampling rate

Alternative: Load from CSV

import pandas as pd
from datasets import Dataset, Audio, Features, Value

# Load the CSV file
df = pd.read_csv("data.csv")

# Define features
features = Features({
    "audio": Audio(sampling_rate=16000),
    "text": Value("string"),
    "speaker_id": Value("string"),
    "emotion": Value("string"),
    "language": Value("string")
})

# Create dataset
dataset = Dataset.from_pandas(df, features=features)

Dataset Structure

The dataset includes:

• data.csv - Main dataset file with all columns
• segments/ - Directory containing all audio files
• load_dataset.txt - Python script for loading the dataset (rename to .py to use)

CSV columns:

• audio: Path to the audio file (in segments/ directory)
• text: Transcription of the audio
• speaker_id: Unique speaker identifier
• emotion: Detected emotion
• language: Language code

Speaker ID Mapping

Speaker IDs have been made unique across all merged datasets to avoid conflicts. For example:

• Original Dataset A: speaker_0, speaker_1
• Original Dataset B: speaker_0, speaker_1
• Merged Dataset: speaker_0, speaker_1, speaker_2, speaker_3

Original dataset information is preserved in the metadata for reference.

Data Quality

This dataset was created using the Vyvo Dataset Builder with:

• Automatic transcription and diarization
• Quality filtering for audio segments
• Music and noise filtering
• Emotion detection
• Language identification

License

This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Citation

@dataset{vyvo_merged_dataset,
  title={bbbb},
  author={Vyvo Dataset Builder},
  year={2025},
  url={https://huggingface.co/datasets/Codyfederer/bbbb}
}

This dataset was created using the Vyvo Dataset Builder tool.