Audiofolder Example Dataset for ML Education

An example audio dataset uploaded by author polinaeterna in September 2022, designed for educational purposes. The dataset contains audio files and associated text data, as indicated by its multimodal tags. It is hosted on Hugging Face and categorized as a small-scale resource for learning.

Use Cases

• Classify audio files into categories using labels inferred from the folder structure or text metadata.
• Extract and analyze audio features like mel-frequency cepstral coefficients (MFCCs) from the provided .wav or .mp3 files for signal processing tutorials.
• Train a multimodal model to associate audio clips with their corresponding text descriptions or transcriptions.
• Benchmark lightweight audio classification models on a dataset with approximately 1,000 samples, as suggested by the 'n1 K' size tag.

Strengths

• Dataset is explicitly structured for educational use, providing a clear learning context.
• Includes both audio and text modalities, enabling multimodal learning experiments.
• Hosted on a major platform (Hugging Face) with standard library support (mlcroissant, datasets).

Limitations

• Very small scale, with an estimated size in the 1,000-sample range, limiting model training potential.
• No provided documentation, column names, or sample data, making initial exploration difficult.
• Last update was in September 2022, so the dataset may not reflect current audio processing techniques or formats.

Provenance

Source

Hugging Face user polinaeterna.

Collection Method

Uploaded as an example dataset; specific collection method unknown.

Freshness

Last updated September 2022; no stated update frequency.

Geography

Tagged with 'Regionus', suggesting a possible United States focus, but unconfirmed.