--- license: apache-2.0 task_categories: - summarization language: - en --- >This dataset was developed for the Generative AI for Agriculture (GAIA) project, supported by the Bill and Melinda Gates Foundation, in collaboration between [CGIAR](https://www.cgiar.org/) >and [SCiO](https://scio.systems/) # Data Sources and RAG Pipeline The dataset is sourced from [GARDIAN](https://gardian.bigdata.cgiar.org/), a comprehensive hub for agri-food data and publications. Utilizing its robust API, the GAIA-CIGI pipeline has systematically discovered and gathered all open-access reports and publications from the various CGIAR centers. Each document has been converted into a structured, machine-readable format using [GROBID](https://grobid.readthedocs.io/en/latest/Introduction/), a specialized tool for extracting the structure of scientific publications. A complete description of the system architecture can be found [here](https://scio.atlassian.net/wiki/spaces/CiGi/pages/45711361/Pipeline+Architecture) # Document Structure ``` { "metadata": { "id": "", "source": "", "url": "" }, "pagecount": 1, "title": "", "abstract": "", "keywords":["keyowrds"] "chapters": [ { "index": 1, "head": "", "paragraphs": [ { "text": "", "size": 1, "index": 1 }, { "text": "", "size": 2, "index": 2 } ] } ], "figures": [ { "text": "" } ], "sieverID":"" } ``` # Property Description