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---
license: cc-by-4.0
tags:
- science
- agriculture
- academic
- grobid
- rag
- cgiar
- multilingual
- documents
- research
- food-security
- climate-adaptation
- nutrition
- food security
- health
- malnutrition
- households
- poverty
- gender
- food
- developing countries
- climate change
- child nutrition
- agricultural policies
- maternal and child health
- women
task_categories:
- summarization
- text-retrieval
- question-answering
- text-generation
- feature-extraction
size_categories:
- 10K<n<100K
pretty_name: GAIA / GARDIAN-CIGI Agricultural Research Corpus
---
# GAIA / GARDIAN-CIGI Agricultural Research Corpus
This dataset contains **21,726** agricultural research documents extracted from the GARDIAN repository and processed through the CIGI pipeline.
## Dataset Overview
| Property | Value |
|----------|-------|
| **Total Documents** | 21,726 |
| **Total Size** | 623.27 MB |
| **Total Tokens** | 85,359,442 |
| **Total Pages** | 0 |
| **Languages** | 25 |
| **Unique Keywords** | 7,127 |
| **Resource Types** | 20 |
| **Date Generated** | 2026-07-31 02:55:20 |
## Language Distribution
| Language | Count | Percentage |
|----------|-------|------------|
| English | 18921 | 87.1% |
| Hindi | 1220 | 5.6% |
| French | 534 | 2.5% |
| Spanish | 456 | 2.1% |
| Arabic | 123 | 0.6% |
| Portuguese | 109 | 0.5% |
| Chinese | 83 | 0.4% |
| Burmese | 77 | 0.4% |
| Russian | 53 | 0.2% |
| German | 40 | 0.2% |
| Tajik | 38 | 0.2% |
| Amharic | 20 | 0.1% |
| Japanese | 15 | 0.1% |
| Korean | 10 | 0.0% |
| Italian | 8 | 0.0% |
| Aragonese | 6 | 0.0% |
| Bengali | 3 | 0.0% |
| Yoruba | 2 | 0.0% |
| Bosnian | 2 | 0.0% |
| Vietnamese | 1 | 0.0% |
| Swahili | 1 | 0.0% |
| Kinyarwanda | 1 | 0.0% |
| Danish | 1 | 0.0% |
| Belarusian | 1 | 0.0% |
| Basque | 1 | 0.0% |
## Top Keywords
science, agriculture, academic, grobid, rag, cgiar, multilingual, documents, research, food-security, climate-adaptation, nutrition, food security, health, malnutrition, households, poverty, gender, food, developing countries, climate change, child nutrition, agricultural policies, maternal and child health, women
## Resource Types
| Type | Count |
|------|-------|
| Brief | 5888 |
| Scientific Publication | 4777 |
| Working Paper | 4099 |
| Poster / Presentation | 2157 |
| Dataset / Tabular | 1683 |
| Report | 1426 |
| Book / Monograph | 681 |
| Factsheet | 437 |
| Other | 230 |
| Training Material | 132 |
| Online Sources | 111 |
| Magazine or Press item | 34 |
| Dataset / Geospatial | 20 |
| Multimedia | 14 |
| Report / Case study | 11 |
| Report / Financial | 11 |
| Report / Annual | 7 |
| Periodical / Journal | 3 |
| Map | 3 |
| Periodical / Magazine | 2 |
## Publication Years
2022 (3110), 2021 (1392), 2014 (1275), 2023 (1220), 2020 (1184), 2019 (1183), 2024 (1081), 2015 (979), 2018 (967), 2016 (935)
## Rights
Per-document licensing varies. Distribution of `metadata.rights`:
| Rights | Docs | Share |
|---|---:|---:|
| N/A | 14042 | 64.6% |
| CC-BY | 4853 | 22.3% |
| CP | 1016 | 4.7% |
| CC-BY-NC-ND | 728 | 3.4% |
| CC-BY-NC | 727 | 3.3% |
| CC-BY-NC-SA | 148 | 0.7% |
| CC0 | 86 | 0.4% |
| CC-BY-SA | 61 | 0.3% |
| CP-NC | 35 | 0.2% |
| CC-BY-ND | 28 | 0.1% |
| CP-EDU | 2 | 0.0% |
> **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 `metadata.rights` field (and the source at `metadata.url`) before redistributing or using individual documents commercially.**
## Document JSON Schema
```json
{
"metadata": {
"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": [ "string" ],
"geography": {
"regions": [ "string" ],
"countries": [ "string" ]
}
},
"keywords": "null",
"sieverID": "string",
"pagecount": "string",
"content": "string",
"tokenCount": "string",
"images": [],
"tables": []
}
```
## License
This dataset is released under [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/).
## Acknowledgements
This dataset was developed for the [Generative AI for Agriculture (GAIA)](https://www.ifpri.org/project/generative-ai-for-agriculture-gaia/) project, funded by the Gates Foundation and UK International Development (FCDO), in collaboration between [CGIAR](https://www.cgiar.org/) and [SCiO](https://scio.systems/).
---
*Generated automatically on 2026-07-31 02:55:20*
*Source directory: ./sieveroutputifpri*