Datasets:
license: other
license_name: trf-evaluation-license
license_link: LICENSE.md
pretty_name: The Rights Foundry Collection One Preview
task_categories:
- audio-classification
tags:
- audio
- music
- music-dataset
- music-information-retrieval
- music-analysis
- audio-classification
- machine-learning
- generative-ai
- music-ai
- ai-training
- ai-evaluation
- benchmarking
- licensed-data
- rights-cleared
- commercial-music
gated: manual
extra_gated_heading: The License must be accepted to allow access to this Dataset
extra_gated_prompt: >-
### License Agreement
**THE RIGHTS FOUNDRY COLLECTION ONE**
Non-Commercial Research and Evaluation License
**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.
extra_gated_description: >-
Please provide your affiliation and desired use case. Review may take 48
hours.
extra_gated_fields:
Company/University: text
Intended Use Case:
type: select
options:
- Academic Research
- Evaluation for Commercial Product use
- Internal Testing
I agree to use this dataset for non-commercial purposes only: checkbox
I agree not to redistribute the audio or metadata: checkbox
I agree not to register any of this content in rights databases: checkbox
extra_gated_button_content: I Agree to the License Terms
dataset_info:
features:
- name: audio
dtype: audio
- name: track_id
dtype: string
- name: artist_id
dtype: string
- name: feat_artist_ids
dtype: string
- name: duration
dtype: float64
- name: bpm
dtype: int64
- name: key
dtype: string
- name: genres
dtype: string
- name: subGenres
dtype: string
- name: moods
dtype: string
- name: instrumentation
dtype: string
- name: energy
dtype: string
- name: vocal_type
dtype: string
- name: explicit
dtype: bool
- name: use_case
dtype: string
- name: release_year
dtype: string
- name: keywords
dtype: string
- name: caption
dtype: string
- name: rights_line
dtype: string
splits:
- name: train
num_bytes: 153286849
num_examples: 10
download_size: 153302009
dataset_size: 153286849
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
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 areCinematic.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
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}
}