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metadata
license: cc-by-4.0
pretty_name: GAIA / GARDIAN-CIGI Agricultural Research Corpus
tags:
  - science
  - agriculture
  - academic
  - rag
  - cgiar
  - multilingual
  - documents
  - research
  - food-security
  - climate-adaptation
  - sdg 1 - no poverty
  - nutrition
  - food security
  - africa south of sahara
  - carbon
  - climate change
  - latin america and the caribbean
  - nutrition, health and food security
  - poverty reduction, livelihoods and jobs
  - sdg 2 - zero hunger
  - sdg 8 - decent work and economic growth
  - systems transformation
  - decision making
  - health
  - africa
task_categories:
  - summarization
  - text-retrieval
  - question-answering
  - text-generation
  - feature-extraction
size_categories:
  - n<1K
configs:
  - config_name: full_text_en
    default: true
    data_files:
      - split: train
        path: FULL_TEXT/EN/Parquet/*.parquet
  - config_name: abstracts_only_en
    data_files:
      - split: train
        path: ABSTRACTS_ONLY/EN/Parquet/*.parquet
  - config_name: abstracts_only_es
    data_files:
      - split: train
        path: ABSTRACTS_ONLY/ES/Parquet/*.parquet
  - config_name: abstracts_only_fr
    data_files:
      - split: train
        path: ABSTRACTS_ONLY/FR/Parquet/*.parquet

GAIA / GARDIAN-CIGI Agricultural Research Corpus

This dataset contains 20 agricultural research records from the GARDIAN repository, processed through the CIGI pipeline: 6 with full text and 14 with metadata and abstract only.

Repository Layout

FULL_TEXT/<LANG>/        documents with extracted full text
ABSTRACTS_ONLY/<LANG>/   documents with metadata and abstract only
    JSON/                one JSON file per document (metadata + content)
    Markdown/            one Markdown file per document (metadata front matter + text)
    Parquet/             all documents of the folder in Parquet (part files)

Each FULL_TEXT/ABSTRACTS_ONLY + language folder is available as a separate config in the dataset viewer, e.g. load_dataset("sciosystems/test", "full_text_en").

Folder Documents Tokens Files Size
ABSTRACTS_ONLY/EN 9 0 20 146.30 KB
ABSTRACTS_ONLY/ES 3 0 7 73.58 KB
ABSTRACTS_ONLY/FR 2 0 5 40.12 KB
FULL_TEXT/EN 6 29,954 13 468.00 KB

Dataset Overview

Property Value
Total Documents 20
Full-Text Documents 6
Abstract-Only Documents 14
Total Size (all formats) 728.00 KB
Total Tokens (full text) 29,954
Total Characters (full text) 188,904
Avg. Tokens per Full-Text Document 4,992
Total Pages (partly est.) 76
Languages 3
Countries 18
Unique Keywords 211
Resource Types 6
Documents with Source URL 20 (100.0%)
Date Generated 2026-11-04 18:27:07

Tokens are counted on the content field of full-text documents using the o200k_base tokenizer (tiktoken). 3 of 6 full-text documents have a real page count; the rest are estimated at 500 words per page.

Language Distribution

Language Count Percentage
English 15 75.0%
Spanish 3 15.0%
French 2 10.0%

Resource Types

Type Count Percentage
Dataset / Tabular 7 35.0%
Scientific Publication 6 30.0%
Report 2 10.0%
Brief 2 10.0%
Training Material 2 10.0%
Dataset / Geospatial 1 5.0%

Top Countries

Country Count Percentage
Peru 3 15.0%
Viet Nam 2 10.0%
Indonesia 2 10.0%
Mali 2 10.0%
India 1 5.0%
Ethiopia 1 5.0%
Bangladesh 1 5.0%
Guyana 1 5.0%
Russia 1 5.0%
Colombia 1 5.0%
Democratic Republic of the Congo 1 5.0%
Malawi 1 5.0%
Uganda 1 5.0%
Honduras 1 5.0%
Guatemala 1 5.0%
Kenya 1 5.0%
Costa Rica 1 5.0%
Nigeria 1 5.0%

Top Keywords

sdg 1 - no poverty, nutrition, food security, africa south of sahara, carbon, climate change, latin america and the caribbean, nutrition, health and food security, poverty reduction, livelihoods and jobs, sdg 2 - zero hunger, sdg 8 - decent work and economic growth, systems transformation, decision making, health, africa, research, emission, models, tropical forests, biomass

Publication Years

2026 (1), 2025 (3), 2024 (2), 2023 (1), 2022 (2), 2021 (1), 2020 (1), 2018 (2), 2017 (2), 2015 (3), 2014 (2)

Rights

Per-document licensing varies. Distribution of the rights field:

Rights Docs Share
CC-BY 20 100.0%

Rights are heterogeneous. The repo-level cc-by-4.0 tag reflects the curation of the collection, not a uniform document license. Always check the per-document rights field (and the source at url, where available) before redistributing or using individual documents commercially.

Document JSON Schema

{
  "gardian_id": "string",
  "source": "string",
  "url": "string",
  "description": "string",
  "id": "string",
  "title": "string",
  "language": "string",
  "resource_type": "string",
  "release_year": "string",
  "rights": "string",
  "dataNODE_id": "string",
  "keywords": "list[string]",
  "geography": {
    "regions": "list[string]",
    "countries": "list[string]"
  },
  "content": "string"
}

License

This dataset is released under CC-BY-4.0.

Acknowledgements

This dataset was developed for the Generative AI for Agriculture (GAIA) project, funded by the Gates Foundation and UK International Development (FCDO), in collaboration between CGIAR and SCiO.


Generated automatically on 2026-11-04 18:27:07