| --- |
| pretty_name: AnyLearning Datasets |
| license: other |
| task_categories: |
| - image-classification |
| - object-detection |
| - image-segmentation |
| - keypoint-detection |
| - tabular-classification |
| - tabular-regression |
| - text-classification |
| tags: |
| - anylearning |
| - computer-vision |
| - tabular |
| - evaluation |
| --- |
| |
| # AnyLearning datasets |
|
|
| This repository contains reproducible sample datasets used to develop and test |
| [AnyLearning OSS](https://github.com/nrl-ai/anylearning-oss). |
|
|
| Dataset licenses are recorded in [LICENSES.md](LICENSES.md). The repository's |
| scripts and original documentation are Apache-2.0, but that license does not |
| override the terms of any dataset. **Check the dataset license before use.** |
|
|
| ### Licence-cleared |
|
|
| | Task | Dataset | Licence | |
| |---|---|---| |
| | Image classification | [ZhangLabData: Chest X-Ray](zhanglabdata_chest_xray/) | CC BY 4.0 | |
| | Object detection | [Safety Helmet and Reflective Jacket Detection](helmet_jacket/) | Apache 2.0 | |
| | Semantic segmentation | [Electron Microscopy Particle Segmentation](electron_microscopy_particle_segmentation/) | CC BY 4.0 | |
| | Handpose classification | [American Sign Language Letters](american_sign_language/) | Public Domain | |
| | Keypoint detection | [Generated Keypoint Stick Figures](keypoint_stick_figures/) | CC0 1.0 | |
| | Keypoint detection | [Desert Locust](desert_locust_keypoints/) | Apache 2.0 | |
| | Tabular classification | [UCI Bank Marketing](structured/) | CC BY 4.0 | |
| | Tabular regression | [UCI Concrete Compressive Strength](structured/) | CC BY 4.0 | |
| | Text classification | [Banking77](structured/) | CC BY 4.0 | |
| | Response evaluation | [TruthfulQA](structured/) | Apache 2.0 | |
|
|
| The first four are the real datasets AnyLearning's test suite loads via `REAL_DATASETS` in |
| `tests/fixtures/datasets.py`. |
|
|
| The keypoint set is a deterministic, generated starter project: 24 training |
| images, 8 validation images, two instances per image and five named landmarks. |
| It is intentionally simple and is suitable for tutorials and mechanical tests, |
| not model-quality claims. |
|
|
| Small, ready-to-upload keypoint archives are also mirrored on the AnyLearning |
| CDN: |
|
|
| - [CC0 stick figures: train.zip](https://cdn.anylearning.nrl.ai/datasets/keypoint_stick_figures/train.zip) |
| and [valid.zip](https://cdn.anylearning.nrl.ai/datasets/keypoint_stick_figures/valid.zip) |
| - [CC BY 4.0 vertebral X-ray subset: 64-image train.zip](https://cdn.anylearning.nrl.ai/datasets/vertebral_keypoints/v1/vertebral-keypoints-train-64.zip) |
| and [16-image valid.zip](https://cdn.anylearning.nrl.ai/datasets/vertebral_keypoints/v1/vertebral-keypoints-valid-16.zip) |
| - [Apache-2.0 Desert Locust: 630-image train.zip](https://huggingface.co/datasets/nrl-ai/anylearning-data/resolve/main/desert_locust_keypoints/train.zip) |
| and [70-image valid.zip](https://huggingface.co/datasets/nrl-ai/anylearning-data/resolve/main/desert_locust_keypoints/valid.zip) |
|
|
| Every vertebral archive embeds its attribution and conversion notes. See the |
| dataset README before using medical images; this is an engineering example, |
| not a clinically validated dataset. |
|
|
| The structured-data catalog is available at |
| [`/datasets/structured/catalog-v1.json`](https://cdn.anylearning.nrl.ai/datasets/structured/catalog-v1.json). |
| AnyLearning can install its real examples directly from the Dataset workspace; |
| each entry carries its source, citation, license, size and SHA-256 checksum. |
|
|
| ### Fetch on demand for engineering validation |
|
|
| | Task | Dataset | Why it is not committed | |
| |---|---|---| |
| | Keypoint detection | [Spondylolisthesis Vertebral Landmark v1](vertebral_keypoints/) | The complete source is fetched from its fixed DOI; a small attributed subset is mirrored on the CDN. | |
|
|
| Datasets without verified redistribution terms are intentionally excluded from |
| this public repository. See [LICENSES.md](LICENSES.md) for the acceptance policy. |
|
|
| ## Using these with AnyLearning |
|
|
| Each dataset ships as per-subset zips. Download this repository next to the |
| `anylearning-oss` checkout, or point `ANYLEARNING_DATA_DIR` at it, and the test suite |
| will find it automatically: |
|
|
| ```bash |
| hf download nrl-ai/anylearning-data --repo-type dataset --local-dir ../anylearning-data |
| pytest tests/e2e/test_real_datasets_e2e.py |
| ``` |
|
|
| Archives are extracted into `~/.cache/anylearning-test-data/`, never back into a |
| repository. See `docs/testing.md` in the main repository. |
|
|
| ## Community |
|
|
| Please read [CONTRIBUTING.md](CONTRIBUTING.md) before submitting a dataset and |
| report vulnerabilities according to [SECURITY.md](SECURITY.md). General support |
| questions belong in the |
| [AnyLearning OSS discussions](https://github.com/nrl-ai/anylearning-oss/discussions). |
| Participation is governed by [CODE_OF_CONDUCT.md](CODE_OF_CONDUCT.md). |
|
|
