ajaykarthick/codecfake-audio
Codecfake Dataset Overview The Codecfake dataset is a large-scale dataset designed for the detection of Audio Language Model (ALM)-based deepfake audio. This dataset includes millions of audio samples across two languages and various test conditions, tailored specifically for ALM-based audio detection. Conversion The original dataset was downloaded from Zenodo and converted to FLAC format to maintain audio quality while reducing file size. The… See the full description on the dataset page: https://huggingface.co/datasets/ajaykarthick/codecfake-audio.
| Author / organization | ajaykarthick |
|---|---|
| License (as declared) | cc-by-nc-nd-4.0 |
| Downloads | 284 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 24 June 2024 |
| Last updated at source | 26 June 2024 |
Popularity, last 3 days
284 now (-7 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Codecfake Dataset Overview The Codecfake dataset is a large-scale dataset designed for the detection of Audio Language Model (ALM)-based deepfake audio. This dataset includes millions of audio samples across two languages and various test c → Codecfake Dataset Overview The Codecfake dataset is a large-scale dataset designed for the detection of Audio Language Model (ALM)-based deepfake audio. This dataset includes millions of audio samples across two languages and various test c
Changes detected by Silytics between refreshes of the source.
More from ajaykarthick
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.