Datasets:

nrl-ai
/

anylearning-data

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.

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 and Reflective Jacket Detection	Apache 2.0
Semantic segmentation	Electron Microscopy Particle Segmentation	CC BY 4.0
Handpose classification	American Sign Language Letters	Public Domain
Keypoint detection	Generated Keypoint Stick Figures	CC0 1.0
Keypoint detection	Desert Locust	Apache 2.0
Tabular classification	UCI Bank Marketing	CC BY 4.0
Tabular regression	UCI Concrete Compressive Strength	CC BY 4.0
Text classification	Banking77	CC BY 4.0
Response evaluation	TruthfulQA	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:

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

Task	Dataset	Why it is not committed
Keypoint detection	Spondylolisthesis Vertebral Landmark v1	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 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:

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.