This dataset provides a collection of practical content on livestock management from CABI, processed and structured for Large Language Models (LLMs) and retrieval augmented generation (RAG) applications in agricultural advisory services.

The dataset contains expert-curated content from CABI's publications, specifically in relation to livestock management for smallholder farmers. Content was selected from publications from the last 10 years with a focus on cattle and poultry disease management, covering topics such as pathogen characteristics, distribution, host animals, diagnosis, food safety, treatment, prevention and control.

For further content on livestock management please contact CABI directly at enquiries@cabi.org.

With a total of ≈3,295K tokens, this dataset serves as a robust foundation for AI-driven knowledge in relation to cattle and poultry disease management.

Each document was systematically converted from its original source format into Markdown (MD) while preserving essential scientific context, metadata, and domain-specific agricultural knowledge. Rather than employing chunking or token-based segmentation, the CABI processing workflow retains the complete document structure within a single file. This approach ensures that the article’s logical organization—including headings, sections, tables, figures, and references—is preserved in its entirety, maintaining both contextual integrity and content continuity from beginning to end.

During processing, a standardized YAML front matter block is generated for every Markdown file. This front matter captures essential metadata such as:

publication identifiers
article type
authors and affiliations
geographic information
species information
subject descriptors and domain tags

This guarantees machine-readability, reproducibility, and interoperability with knowledge retrieval and LLM pipelines.

Dataset Contents

Dataset	Documents	Format	Description
Book chapters	181	Markdown + YAML metadata	Chapters of books published by CABI, including selected chapters from recently published books "East Coast Fever: The disease, its impact and control", "Lung Plague: Origins, impact and epidemiology of contagious bovine pleuropneumonia", and "Poultry Health: A guide for professionals", amongst others.
Journal articles	41	Markdown + YAML metadata	Scientific research, peer reviewed and published in CABI’s primary journals
Compendium datasheets	69	Markdown + YAML metadata	Selected datasheets from CABI’s Animal Health and Production Compendium channel, authored by scientific experts and covering topics such as pathogen identity, symptoms, distribution, host animals, diagnosis, zoonoses and food safety, treatment, prevention and control
One Health Cases and Animal Science Cases	20	Markdown + YAML metadata	Case studies of animal science and One Health in practice, designed for students, lecturers, researchers and research-led practitioners
Preprints	14	Markdown + YAML metadata	Preprints of journal articles, published in AgriRxiv

Total documents: 325
Total tokens: ≈ 3,295K tokens

Ethical Notes

This dataset contains expert agricultural guidance.

It must not be used to conduct experiments that cause harm to human subjects.
AI systems built from it should consult local regulations and relevant animal health experts.

Licence

Released under CC BY-NC 4.0, meaning reuse is permitted as long as attribution to CABI is maintained and it is used for non-commercial purposes only.

If you would like to use this dataset for commercial purposes, please contact CABI directly at enquiries@cabi.org.

Terms of Use

In addition to the licence listed above, any User of this dataset must comply with the following terms.

Restrictions on the use of this dataset:

The User will not use this dataset, or individual works therein, in any way which is not permitted under applicable law. In particular, the User will:

Not produce outputs that contain the whole or substantial parts of the dataset or individual works therein, verbatim;
Not sell, distribute, or publicly display this dataset, or individual works therein, themselves. Any such downstream circulation must be done by referring to this dataset and attributing the same to CABI using the Citation provided below;
Not use the dataset to reverse engineer or reconstruct proprietary elements of the same, or individual works within it;
Only process any personal data within the dataset, or in any individual work therein, in accordance with locally applicable data protection law(s). Where such data protection laws are not present, the UK GDPR will be deemed as the applicable data protection law, and any personal data must be processed in accordance with the same.

Security

The User will handle this dataset, or individual works therein, in accordance with good industry practice, including storage in a secure environment.

The User will inform CABI of any data breach within 24 hours of it occurring, or when the User becomes aware of such breach, whichever is sooner, especially of any personal data that is part of this dataset, or in individual works therein, and will inform CABI of the steps taken to mitigate harm from such breach, including any steps required to be taken in accordance with applicable law.

Attribution

The User must provide attribution to CABI as the content provider in any display or output resulting from or derived from this dataset or any individual work therein.

Attribution must at minimum include the Citation as provided below.
The Citation must be made visible and easily accessible by placing it on the main website of the User, preferably under a section that covers patrons, funders or partners.
The User must inform CABI in writing if it intends to remove the attribution and may only do so after receiving an explicit written waiver from CABI. In no circumstances can attribution by removed or deemed as waived unilaterally by the User.
The User acknowledges that attribution does not imply any endorsement by CABI of the User's activities with respect to this dataset or any individual work therein and must not expressly or implicitly misrepresent such endorsement.

Sublicences

The User may only give access to this dataset or individual work therein to sublicensees provided they comply with these terms and conditions and any other access requirements as are imposed by CABI. The User will be responsible for ensuring this compliance by the sublicensee(s).

Intellectual Property Rights

Between the User and CABI, CABI owns all intellectual property rights in this dataset.

Representations and warranties

The User warrants and undertakes to CABI that:

It will comply with all applicable laws and regulations, in performing its obligations and exercising its rights of use of this dataset, in the design, development, and deployment of any AI solution;
Any outputs and displays generated, displayed or otherwise made available by an AI solution will comply with all applicable laws and regulations, including laws relevant to data protection;
Any outputs from an AI solution will not infringe the intellectual property rights or other proprietary rights of any third party;
The AI solution will not produce discriminatory, harmful, or unethical outputs or displays and that the User will implement reasonable measures to identify and mitigate bias, misinformation and harmful content in such outputs and displays; and
The outputs and displays will not falsely imply any endorsement by or affiliation with CABI, unless CABI expressly approves in writing.

Dispute resolution

Any dispute or claim regarding this dataset or its use in accordance with these terms and conditions shall be exclusively adjudicated and/or settled in the courts of England and Wales, which shall have exclusive jurisdiction in this regard.

Citation

If you use this dataset, please cite:

CABI. Livestock Content dataset. Source: Hugging Face (Online). https://huggingface.co/datasets/CABInternational/Livestock-Content [date accessed]

Acknowledgements

This dataset was developed for the Generative AI for Agriculture (GAIA) project funded by the Gates Foundation and the Foreign, Commonwealth and Development Office (FCDO).

Maintainers

Organization: CABI
Email: enquiries@cabi.org

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