| --- |
| pretty_name: ProbeScout Main17 tasks |
| task_categories: |
| - image-classification |
| language: |
| - en |
| tags: |
| - probescout |
| - visual-analytics |
| - attribute-probes |
| --- |
| |
| # ProbeScout Main17 task packages |
|
|
| Use with [ProbeScout source and setup instructions](https://github.com/lyfdy456/ProbeScout). |
| Download only the dataset(s) you need, and extract each ZIP into the **code repository root**. |
| The ZIP paths already include `dataset/` and `visual_analytics/`. |
|
|
| | File | Tasks | Compressed size | |
| |---|---:|---:| |
| | cars.zip | 7 | 93.74 MB | |
| | hico.zip | 8 | 320.29 MB | |
| | celeba.zip | 2 | 439.43 MB | |
|
|
| Each package includes task definitions, attributes, query image IDs, ordered |
| records, original VQA source/fit/Validation labels, fixed partition contracts, |
| Web score/rank/projection/cluster arrays and the pinned initial F0 evidence. |
| There are **no original images, query pictures, thumbnails, historical human |
| feedback, user sessions or human-refined models**. Images are supplied locally |
| by the user from the original dataset distributions under their respective terms. |
|
|
| `task_packages.json` records ZIP and extracted manifest SHA-256 values. |
| Each extracted `dataset/tasks/<dataset>/manifest.json` records every payload hash. |
| The source release pins the immutable HF commit and manifest identities. |
| Original Val document hashes inside `validationProvenance` identify the original |
| training inputs, not the sanitized exported files; the latter have separate hashes. |
| This preserves compatibility with the published immutable probe banks. |
|
|
| After extracting and placing local images as documented: |
|
|
| ```sh |
| uv run --project probe_learning python scripts/prepare_web.py --dataset cars |
| cd visual_analytics/pcp_analyze/web |
| npm run dev |
| ``` |
|
|
| Use `--dataset hico`, `--dataset celeba`, or multiple dataset names as appropriate. |
| `--without-images` prepares numerical views/training but cannot display photographs. |
| Cached browsing and weight refinement use the task package; training or native |
| probe updates additionally require [features](https://huggingface.co/datasets/Ian100/ProbeScout-features) |
| and, for updates, [pretrained banks](https://huggingface.co/Ian100/ProbeScout-probes). |
| Alternatively extract your own matching SigLIP features using the source scripts. |
| The original Cars, HICO-DET and CelebA dataset terms still apply. |
|
|
