| --- |
| license: other |
| license_name: mixed-upstream |
| task_categories: |
| - video-classification |
| - audio-classification |
| tags: |
| - deepfake-detection |
| - out-of-distribution |
| extra_gated_prompt: >- |
| This dataset aggregates media from third-party sources under differing |
| terms, and contains recordings of real people. Accepting here does not |
| relieve you of complying with each upstream source's own licence. |
| extra_gated_fields: |
| I will use this dataset for non-commercial research only: checkbox |
| I will comply with each upstream source's own licence: checkbox |
| --- |
| |
| # DeepSafe Wild Test Set |
|
|
| A held-out set used to check |
| [DeepSafe](https://github.com/deepsafehq/deepsafe-bench) against media it was |
| never tuned on. |
|
|
| ## What is in it |
|
|
| | Source | Files | Type | |
| |---|---|---| |
| | DeepAction v1 | 1,966 | AI-generated video across several generators | |
| | Gary Stafford audio | 1,011 | synthetic and real speech | |
| | Defactify | 17 | mixed | |
|
|
| ## Why it is separate |
|
|
| The main [evaluation dataset](https://huggingface.co/datasets/deepsafe/evaluation-dataset) |
| trained the ensemble meta-learners. Measuring on it alone would report |
| in-distribution performance and overstate what the detectors do in the wild. |
| This set exists to be the part nothing was fitted to. |
|
|
| The gap between the two is the finding: across 411 generators the ensemble |
| catches 66% of fakes overall, and only 7% of Sora video. Full results in |
| [BENCHMARK.md](https://github.com/deepsafehq/deepsafe-bench/blob/main/BENCHMARK.md). |
|
|
| ## Takedown |
|
|
| If you hold rights to any included material, open an issue at |
| https://github.com/deepsafehq/deepsafe-bench. Removal within 48 hours. |
|
|
