---
license: cc-by-4.0
configs:
  - config_name: reliefweb
    data_files:
      - split: train
        path: reliefweb.jsonl
  - config_name: refugee_pads
    data_files:
      - split: train
        path: refugee_pads.jsonl
  - config_name: fcv_pads_east_africa
    data_files:
      - split: train
        path: fcv_pads_east_africa.jsonl
  - config_name: jdc_operational
    data_files:
      - split: train
        path: jdc_operational.jsonl
---

# FCV Corpus

A corpus of Fragility, Conflict, and Violence (FCV) related documents, standardized to a
common JSONL schema. Every record has a `pdf_url` field pointing to the source PDF, so the
corpus can be used directly for document inference.

## Configs

Each config is one source corpus:

| config | records | source |
|---|---|---|
| `reliefweb` | 1,696 | ReliefWeb metadata (UNHCR/OCHA/IFRC reports, etc.) |
| `refugee_pads` | 196 | World Bank refugee project documents (PADs) |
| `fcv_pads_east_africa` | 21,338 | World Bank FCV project documents (East Africa + regional) |
| `jdc_operational` | 65 | WB operational project documents (JDC operational set) |

## Schema

All records share `pdf_url` and `title`. The remaining fields are source-specific
(standardized to snake_case; multi-valued fields are JSON lists).

- `reliefweb`: `organization`, `report_url`, `posted`, `originally_published`, `country`,
  `themes`, `disaster_type`, `language`
- `refugee_pads`: `abstract`, `document_date`, `report_no`, `document_type`, `authors`,
  `country`, `disclosure_date`, `disclosure_status`, `language`, `major_sector`, `sector`,
  `topics`, `themes`, `region`, `project_id`, `landing_page_url`
- `fcv_pads_east_africa`: `project_id`, `doc_id`, `document_type`, `document_date`, `language`,
  `disclosure_status`, `country`
- `jdc_operational`: `project_id`, `country`, `document_type`

## Usage

```python
from datasets import load_dataset

reliefweb    = load_dataset("rafmacalaba/fcv-corpus", "reliefweb")
refugee      = load_dataset("rafmacalaba/fcv-corpus", "refugee_pads")
fcv          = load_dataset("rafmacalaba/fcv-corpus", "fcv_pads_east_africa")
jdc          = load_dataset("rafmacalaba/fcv-corpus", "jdc_operational")
```