1. Acceptance. By requesting access to The Rights Foundry Collection One (the Corpus, meaning the audio recordings, metadata, captions, and embedded identifiers together), you agree to these terms with The Rights Foundry, Inc., a Delaware corporation (TRF). If you are accepting on behalf of an organization, you confirm that you have authority to bind it, and "you" means that organization.

2. Definitions. "Non-Commercial Use" means academic research, education, personal study, analysis, benchmarking, model evaluation, and the training of experimental models that are not deployed, distributed, or made available commercially in any form. Internal research or testing conducted by or for a commercial entity to evaluate, develop, improve, or support a current or planned product, service, model, or revenue generating activity is Commercial Use, except that a commercial entity may conduct limited internal technical evaluation solely to determine whether to obtain a commercial license from TRF ("Evaluation Use"). Under Evaluation Use, a commercial entity may create temporary test models for that evaluation, but may not deploy or distribute them, use them or their results to develop or improve a product or service, or retain reusable model weights after the evaluation unless TRF grants a commercial license. "Commercial Use" means any other use of the Corpus, in whole or in part, intended for or directed toward commercial advantage or monetary compensation, by you or by anyone you enable.

3. License grant. TRF grants you a limited, non-exclusive, non-transferable, non-sublicensable, worldwide, royalty-free license, revocable as provided in Section 15, to download and use the Corpus solely for Non-Commercial Use and Evaluation Use.

4. Permitted research activity. You may analyze the Corpus, extract features from it, benchmark and evaluate models against it, and train experimental models on it. You may publish papers, benchmark results, aggregate statistics, research code, documentation, and non-commercial research demonstrations based on the Corpus, provided no demonstration gives third parties systematic access to generate, retrieve, or download audio. You may distribute model weights and non-reconstructive feature representations created through permitted research only after reasonable testing confirms that they do not contain, reproduce, expose, or permit reconstruction of any recording or any substantial portion of one. They must be accompanied by the required Corpus attribution and distributed under this license or terms at least as protective of Sections 4 through 7, 11, and 12.

5. Prohibited uses. No Commercial Use of any kind, of the Corpus or of anything derived from it, in whole or in part. Without limiting that, you will not: train or fine tune any model that is or will be made commercially available or deployed in a product or service, including through a hosted or software as a service inference endpoint or API; publish, release, or monetize any output that reproduces, is recognizably based on, or permits reconstruction of a Corpus recording or a substantial portion of one; redistribute, re-host, mirror, or include the Corpus, any track, or any portion of the metadata or captions in another dataset or collection; distribute any track to any streaming, download, or user generated content platform; sell, rent, or transfer the Corpus or any track; or create derivative musical works, remixes, or edits for release. You will comply with applicable law and respect third party rights in all use of the Corpus.

6. Rights systems. You will not register or attempt to register any Corpus recording, excerpt, fingerprint, derivative, model output, or associated rights information with any content identification system, digital distributor, performing rights organization, neighboring rights organization, copyright registry, or rights management service, and you will not assert ownership of, or initiate any claim, takedown, or monetization action relating to, any Corpus material.

7. Voice and identity. You may use the Corpus for bona fide Non-Commercial Use involving voice analysis, speech or singing voice synthesis, speaker recognition, speaker identification, and related academic research. You may not use the Corpus or anything derived from it to impersonate, deceive, harass, exploit, or falsely suggest the participation, approval, or endorsement of any person. You may not create, publish, distribute, or make available a model, service, output, or demonstration that enables third parties to clone, simulate, or replicate an identifiable person’s voice or vocal identity without that person’s documented consent and all other legally required rights. You may not deploy the Corpus or anything derived from it for biometric identification, authentication, surveillance, eligibility, employment, credit, insurance, healthcare, or other decisions concerning an identifiable person. This license does not authorize commercial voice cloning or any other Commercial Use.

8. Ownership and licensing authority. Each master recording and musical composition in the Corpus is owned outright by a single source rights holder. TRF has the rights and authority necessary to make the Corpus available and to grant this license, and TRF is the licensor under this license. No ownership in any recording, composition, performance, or metadata transfers to you, and all rights not expressly granted are reserved.

9. Your research materials. As between you and TRF, you retain ownership of your independently developed research code, analyses, model architectures, model weights, and research results. That ownership does not extend to the Corpus or any recording, composition, or metadata, and does not remove the restrictions of this license.

10. Organization access. If you accept for an organization, the organization may permit its employees, students, researchers, and individual contractors to use the Corpus solely for the organization’s permitted use under this license, provided they are informed of and bound by these terms. The organization is responsible for their compliance. Access credentials may not be shared.

11. Integrity. You will not remove, alter, or obscure any metadata, rights information, or embedded identifier in the files, and you will keep the rights information associated with any excerpt or feature set you create from the Corpus.

12. Attribution. Publications, public benchmarks, and model documentation that use the Corpus must cite it as described on the dataset card.

13. Commercial licensing. This license grants no Commercial Use rights. Commercial Use requires a separate written commercial license from TRF. To request a commercial license, including for model training intended for production deployment, visit therightsfoundry.com/huggingfacecollectionone or contact licensing@therightsfoundry.com.

14. Access information. You acknowledge that the access information you provide through the platform gate (such as your name, email address, and organization) is shared with TRF, which may use it to administer this license and to contact you about licensing, in accordance with TRF’s privacy policy at therightsfoundry.com/privacy.

15. Term and termination. This license continues until terminated. TRF may terminate immediately upon unauthorized redistribution, Commercial Use, or breach of Section 6 or Section 7. For any other remediable breach, TRF will give notice and thirty days to cure before termination. TRF may withdraw individual recordings from the Corpus where legally required or where a rights claim arises, and you will delete withdrawn recordings on notice. On termination you will delete all copies of the Corpus in your possession or control. Papers, benchmark results, and aggregate statistics properly published during the term may remain available, and model weights properly created and distributed under Section 4 during the term may continue to be used and distributed on the same non-commercial terms. Sections 5 through 9, 11 through 17, and any other provisions that by their nature should survive termination, survive termination.

16. Disclaimers and limitation of liability. Except for TRF’s express statement in Section 8 that it has authority to grant this license, the Corpus is provided as is, without warranties of any kind, express or implied, including title, non-infringement, merchantability, and fitness for a particular purpose. To the maximum extent permitted by law, neither TRF nor its licensors, catalog partners, or rights holders will be liable for indirect, consequential, incidental, special, exemplary, or punitive damages, or for lost profits, data, goodwill, or business opportunity, and TRF’s total aggregate liability arising out of this license is limited to one hundred US dollars. TRF’s licensors, catalog partners, and rights holders are intended beneficiaries of this Section.

17. General. This license is governed by the laws of the State of California, excluding its conflict of law rules, and the state and federal courts located in Santa Clara County, California have exclusive jurisdiction over any dispute arising from it. If any provision is unenforceable, the remainder stands. No failure to enforce is a waiver. You may not assign this license. This license is the entire agreement between you and TRF concerning the Corpus.

By proceeding, you accept these license conditions.

Test Dataset 3

This is a test preview of The Rights Foundry Collection One

Dataset Summary

A licensed 10-track music dataset for non-commercial AI research, reproducible benchmarking, model evaluation, and music-information-retrieval research.

This test preview of The Rights Foundry Collection One contains 10 fully rights-cleared commercial music tracks from independent artists, provided as 16-bit, 44.1 kHz stereo WAV audio with structured descriptive metadata.

The dataset is designed for non-commercial academic research, reproducible benchmarking, non-commercial evaluation, and peer-reviewed model evaluations under the custom, restrictive Non-Commercial Research and Evaluation License.

Need a larger licensed music corpus?

The Rights Foundry's catalog contains 100,000+ commercially released tracks, including 35,000+ tracks cleared for AI use under signed Generative AI Addenda.

These larger datasets support licensing discussions for AI training, fine-tuning, evaluation, retrieval, generative applications, and downstream commercial use, subject to the applicable rights and agreements.

Explore The Rights Foundry

Need more tracks? Contact us: hello@therightsfoundry.com

Dataset at a Glance

Parameter	Value
Tracks:	10
Total duration:	14.5 minutes
Licence:	Custom Non-Commercial Research and Evaluation License (LICENSE.md)
Territory:	Global
Audio quality:	16-bit, 44.1 kHz, 2-channel stereo
Format:	Parquet, with WAV audio embedded alongside the metadata
Vocals:	Mostly instrumental; some tracks have background vocals
Primary use:	Non-commercial academic research and evaluation
Access:	Request Access on Hugging Face (requests are reviewed manually)

What is this dataset?

Test Dataset 3 is a licensed music dataset for AI and machine-learning research.

It contains 10 fully rights-cleared commercial music tracks, together with structured metadata describing musical and audio characteristics including genre, sub-genre, mood, instrumentation, energy, vocals, BPM, musical key, duration, explicit content, keywords, and textual captions.

The corpus is intended to provide researchers with a defined, reproducible collection of commercially released music for audio research, music-information retrieval, benchmarking, model evaluation, and related academic research.

All use of the dataset is subject to the Non-Commercial Research and Evaluation License, which must be agreed to by clicking Request Access on the Hugging Face dataset repository and accepting the terms.

What can this dataset be used for?

The dataset is licensed for specified non-commercial uses, including:

Non-commercial academic research, education, and personal study
Reproducible benchmarking
Non-commercial model evaluation
Peer-reviewed model evaluations
Training experimental models that are not deployed, distributed, or made available commercially
Music-information retrieval research
Music and audio analysis research
Limited internal technical evaluation by a commercial entity, solely to decide whether to obtain a commercial license from The Rights Foundry

Researchers must comply with the full license when using the dataset.

Can this dataset be used for commercial AI training?

No.

This dataset is provided under a custom, restrictive non-commercial license. It is not licensed for commercial deployment, commercial exploitation, SaaS inference integration, or model-weight monetisation.

For commercial AI training, fine-tuning, evaluation, retrieval, generative applications, or other commercial use cases, a separate written commercial license from The Rights Foundry is required.

Need expanded usage rights? Visit therightsfoundry.com/huggingfacecollectionone or contact: licensing@therightsfoundry.com

Restrictions

The license prohibits:

Commercial use of any kind, of the dataset or anything derived from it
Training or fine-tuning any model that is or will be commercially available or deployed, including through a hosted or SaaS inference endpoint or API
Publishing, releasing, or monetising outputs that reproduce, are recognisably based on, or permit reconstruction of a recording
Redistributing, re-hosting, or mirroring the audio, metadata, or captions, or including them in another dataset
Distributing any track to streaming, download, or user-generated-content platforms
Creating derivative musical works, remixes, or edits for release
Registering any recording, excerpt, fingerprint, derivative, or model output with a content identification system, distributor, or rights organisation
Removing or altering metadata, rights information, or embedded identifiers

Vocal and biometric restrictions

Non-commercial research involving voice analysis, speech or singing voice synthesis, and speaker recognition is permitted. The license prohibits:

Impersonating, deceiving, harassing, or exploiting any person, or falsely suggesting their participation or endorsement
Making available any model, service, output, or demonstration that lets third parties clone or replicate an identifiable person's voice without that person's documented consent
Biometric identification, authentication, surveillance, or decisions concerning an identifiable person
Commercial voice cloning

Users should review the complete license before using any track for model training, fine-tuning, evaluation, or other computational purposes.

Dataset Structure

The dataset is distributed as a single train split in Parquet format. Each row is one track: the audio column holds the original WAV file, and the remaining columns hold its metadata.

Test-Dataset3/
├── README.md
├── LICENSE.md
└── data/
    └── train-00000-of-00001.parquet

Once your access request has been approved, log in with hf auth login and load the dataset with:

from datasets import load_dataset

ds = load_dataset("swatt-TRF/Test-Dataset3", split="train")

Audio Format

The audio is provided as:

WAV
16-bit
44.1 kHz sample rate
2-channel stereo

Metadata Fields

Each row contains the following fields

Audio:

audio (audio): The track's WAV audio.

Descriptive Metadata:

track_id (string): Unique track identifier (example: 001)
artist_id (string): Identifier of the track's primary artist (example: 1)
feat_artist_ids (string | null): Identifiers of any featured artists. Blank where there are none.
duration (number): Duration in seconds. Fractional on almost every track.
bpm (integer): Editorial beats per minute. (example: 115)
key (string): Primary musical key (example: "D minor")
genres (string): Comma-separated list of genres (example: "soundtrack, ambient")
subGenres (string): Comma-separated list of sub-genres (example: "hard rock, orchestral hybrid, film score")
moods (string): Comma-separated list of moods (example: "aggressive, energetic, dark")
instrumentation (string): Comma-separated list of main instruments (partial example: "synth, electronic drums, taiko, bass, percussion")
energy (string): Editorial energy level (examples: high, varying)
vocal_type (string): Editorial vocal type, lowercase (examples: "no vocals", "background, female")
explicit (boolean): Explicit Language/Themes flag. No explicit content is included in this dataset (example: false)
use_case (string): Suggested usage area. All tracks in this dataset are Cinematic.
release_year (string | null): Release year, if formally released (example: "2015")
keywords (string): Comma-separated list of keywords describing this track (partial example: "tense, suspenseful, dark")
caption (string): Textual description of the track (partial example: "Dark and ominous pulses and clicks tickle the spine and singe the nerves")
rights_line (string): Rights under which this track is included (example: "Master and composition owned and controlled by Audiosocket. Rights granted by The Rights Foundry, as sublicensor, under the dataset license.")

Frequently Asked Questions

How many tracks are in The Rights Foundry Collection One Preview?

This preview contains 10 fully rights-cleared commercial music tracks. The full Rights Foundry Collection One contains 500.

Is The Rights Foundry Collection One Preview free to use?

The dataset is available for specified non-commercial academic research, reproducible benchmarking, non-commercial evaluation, and peer-reviewed model evaluations, subject to the custom Non-Commercial Research and Evaluation License.

Is this a music dataset for AI research?

Yes. The collection is a licensed commercial music dataset for AI and machine-learning research, including research involving audio analysis, music-information retrieval, benchmarking, and model evaluation, subject to the license.

Can I use the dataset for commercial AI training?

No. The collection is subject to a restrictive non-commercial license. Contact The Rights Foundry for separately licensed commercial AI datasets and licensing options: hello@therightsfoundry.com

Does the dataset contain commercial music?

Yes. This preview contains 10 fully rights-cleared commercial music tracks.

What audio format is provided?

The tracks are provided as 16-bit, 44.1 kHz, 2-channel stereo WAV audio.

How can I access the dataset?

Click Request Access on the Hugging Face repository and accept the terms of the custom Non-Commercial Research and Evaluation License.

Where can I find a larger licensed music dataset?

The Rights Foundry's production catalog contains 100,000+ commercially released tracks, including 35,000+ tracks cleared for AI use under signed Generative AI Addenda.
Explore The Rights Foundry → www.therightsfoundry.com
For larger datasets and licensing enquiries, contact: hello@therightsfoundry.com

Need More Than 500 Tracks?

The Rights Foundry Collection One is the 500-track research and evaluation collection from The Rights Foundry.

For projects requiring a larger licensed music corpus, The Rights Foundry's production catalog contains:

100,000+ commercially released tracks
35,000+ tracks cleared for AI use under signed Generative AI Addenda
3,500+ independent artists

The AI-cleared catalog is available for licensing discussions covering use cases such as AI training, fine-tuning, evaluation, retrieval, generative applications, and downstream commercial rights, subject to the applicable agreements.

For larger dataset and licensing enquiries: hello@therightsfoundry.com

About The Rights Foundry

The Rights Foundry provides music rights infrastructure for digital products and AI pipelines.

The Rights Foundry provides an API layer that clears, enforces, meters, and monetises music rights at the point of use, for digital products and AI pipelines.

Category: Music rights infrastructure
Founded: 2026
Catalog: 100,000+ tracks
AI-cleared: 35,000+ tracks
Artists: 3,500+ independent artists

therightsfoundry.com

Citation

Publications, public benchmarks, and model documentation that use this dataset must cite it as follows (Section 12 of the license):

The Rights Foundry, Inc. (2026). Test Dataset 3: a test preview of The Rights Foundry Collection One [Dataset]. Hugging Face. https://huggingface.co/datasets/swatt-TRF/Test-Dataset3

@misc{therightsfoundry2026testdataset3,
  author       = {{The Rights Foundry, Inc.}},
  title        = {Test Dataset 3: a test preview of The Rights Foundry Collection One},
  year         = {2026},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/swatt-TRF/Test-Dataset3}},
  note         = {Licensed under the Non-Commercial Research and Evaluation License}
}

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