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nrl-ai/anylearning-data

AnyLearning datasets This repository contains reproducible sample datasets used to develop and test AnyLearning OSS. Dataset licenses are recorded in 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 CC BY 4.0 Object detection Safety Helmet… See the full description on the dataset page: https://huggingface.co/datasets/nrl-ai/anylearning-data.

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AnyLearning datasets

This repository contains reproducible sample datasets used to develop and test AnyLearning OSS.

Dataset licenses are recorded in 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

TaskDatasetLicence
Image classificationZhangLabData: Chest X-RayCC BY 4.0
Object detectionSafety Helmet and Reflective Jacket DetectionApache 2.0
Semantic segmentationElectron Microscopy Particle SegmentationCC BY 4.0
Handpose classificationAmerican Sign Language LettersPublic Domain
Keypoint detectionGenerated Keypoint Stick FiguresCC0 1.0
Keypoint detectionDesert LocustApache 2.0
Tabular classificationUCI Bank MarketingCC BY 4.0
Tabular regressionUCI Concrete Compressive StrengthCC BY 4.0
Text classificationBanking77CC BY 4.0
Response evaluationTruthfulQAApache 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:

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`. 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

TaskDatasetWhy it is not committed
Keypoint detectionSpondylolisthesis Vertebral Landmark v1The 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 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 before submitting a dataset and report vulnerabilities according to SECURITY.md. General support questions belong in the AnyLearning OSS discussions. Participation is governed by CODE_OF_CONDUCT.md.