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--- |
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license: cc-by-nc-4.0 |
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task_categories: |
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- audio-classification |
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tags: |
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- audio-forensics |
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- synthetic-speech-detection |
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- challenge |
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- text-to-speech |
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language: |
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- en |
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configs: |
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- config_name: default |
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data_files: |
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- split: test |
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path: data/test-* |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: audio |
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dtype: |
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audio: |
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decode: false |
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splits: |
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- name: test |
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num_bytes: 51383393.0 |
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num_examples: 100 |
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download_size: 50947225 |
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dataset_size: 51383393.0 |
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--- |
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# SAFE Challenge Practice Dataset |
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This repository hosts the practice dataset for the [Audio Forensics Evaluation (SAFE) Challenge](https://huggingface.co/papers/2510.03387). The SAFE Challenge is a fully blind evaluation framework designed to benchmark detection models across progressively harder scenarios: raw synthetic speech, processed audio (e.g., compression, resampling), and laundered audio intended to evade forensic analysis. |
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The challenge aims to advance the state of the art in audio forensics by driving innovation in detecting and attributing synthetic and manipulated audio artifacts. This practice dataset is provided as a small sample specifically for participants to troubleshoot their model submissions for the competition. |
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- **Paper:** [Audio Forensics Evaluation (SAFE) Challenge](https://huggingface.co/papers/2510.03387) |
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- **Project Page:** https://stresearch.github.io/SAFE/ |
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- **Code (Challenge Repository):** https://github.com/stresearch/SAFE |
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## Dataset Details |
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This practice dataset is constructed from multiple sources, containing human and machine generated speech audio tracks: |
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- https://huggingface.co/SWivid/F5-TTS |
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- https://keithito.com/LJ-Speech-Dataset/ |
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- https://librivox.org |
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The license of the original sources applies to those respective parts of the dataset. |
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## Sample Usage |
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You can easily load this practice dataset using the Hugging Face `datasets` library: |
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```python |
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from datasets import load_dataset |
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# Load the practice dataset |
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dataset = load_dataset("safe-challenge/safe-challenge-practice-dataset", split="test") |
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# Access an example |
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print(dataset[0]["id"]) |
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print(dataset[0]["audio"]["path"]) |
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# Note: By default, the audio is not decoded into an array (due to decode: false in metadata). |
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# To load the audio as an array, you can cast the 'audio' column. For example: |
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# from datasets import Audio |
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# dataset = dataset.cast_column("audio", Audio(sampling_rate=16000)) |
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# print(dataset[0]["audio"]["array"]) |
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``` |
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For more details on preparing model submissions and interacting with the challenge, please refer to the [SAFE Challenge GitHub repository](https://github.com/stresearch/SAFE) and the provided [debug example](https://github.com/stresearch/SAFE/blob/main/debug_example.md). |
