LICENSES.md

Dataset licences

AnyLearning OSS is distributed under Apache-2.0. Dataset files remain under their own terms, so every dataset in this repository needs a licence that permits commercial use and redistribution.

Record the licence and its source for each dataset. "It was on the internet" is not a licence.

Cleared for use

Dataset	Task	Licence	Source
zhanglabdata_chest_xray	Image classification	CC BY 4.0	Kermany, Zhang & Goldbaum (2018), Cell
helmet_jacket	Object detection	Apache 2.0	Dataset Ninja
electron_microscopy_particle_segmentation	Semantic segmentation	CC BY 4.0	Dataset Ninja
american_sign_language	Handpose classification	Public Domain	Roboflow Public
keypoint_stick_figures	Keypoint detection	CC0 1.0	Generated by the AnyLearning project; no third-party pixels
desert_locust_keypoints	Keypoint detection	Apache 2.0	Graving et al. (2019), official DeepPoseKit-Data repository
vertebral_keypoints CDN subset	Keypoint detection	CC BY 4.0	Reyes (2025), Mendeley Data V1
structured/v1/bank-marketing.csv	Tabular classification	CC BY 4.0	Moro, Rita & Cortez (2014), UCI DOI 10.24432/C5K306
structured/v1/concrete-strength.csv	Tabular regression	CC BY 4.0	Yeh (1998), UCI DOI 10.24432/C5PK67
structured/v1/banking77.csv	Text classification	CC BY 4.0	Casanueva et al. (2020), PolyAI task-specific datasets
structured/v1/truthfulqa-evaluation.csv	Response evaluation	Apache 2.0	Lin, Hilton & Evans (2022), official TruthfulQA repository

CC BY 4.0 requires attribution, which is satisfied by each dataset's README and this table. It does not restrict commercial use and has no ShareAlike term.

Fetch-on-demand datasets

vertebral_keypoints contains instructions but no source pixels in Git. The Spondylolisthesis Vertebral Landmark v1 record publishes the archive under CC BY 4.0 while describing a mixture of locally collected and BUU-LSPINE source images. A versioned 64/16-image engineering subset is therefore mirrored on the CDN with ATTRIBUTION.md embedded in both archives. The complete dataset stays fetch-on-demand from its DOI, and neither the subset nor its measured result is clinical validation.

Excluded datasets awaiting a licence decision

The following collections existed in the source catalog but are not included in this public snapshot because no redistribution licence was recorded. They must not be added until their upstream terms are confirmed.

Dataset	Task	Status
neu_surface_defect	Image classification	Excluded. No licence was recorded. NEU-DET originates from Northeastern University and is commonly described for academic/research use, which is not a redistribution grant.
dental_segment	Instance segmentation	Excluded. Its source export had no licence line. Confirm the licence on the upstream project before adding it.

Adding a dataset

1. Confirm the licence permits commercial use and redistribution.
2. Reject anything non-commercial (CC BY-NC, "research only", "academic use").
3. Treat ShareAlike (CC BY-SA) with care: it is usable, but derivatives inherit the term. Prefer fetch-on-demand over committing such data here.
4. Add a README.md to the dataset folder recording licence, source URL, task, and any citation the licence requires.
5. Add a row to the table above.