ai4data/fcv-data-use-paper
Dataset Card for FCV Data-Use Paper Companion dataset for the paper "Automated Tracking of Data Use in Fragile, Conflict, and Violence Settings: A Joint World Bank and UNHCR Multitask Extraction Framework" (Macalaba, Solatorio, Brock). Three-model swarm over the forced-displacement / FCV corpus: dataset-mention extraction (Call 1), relation extraction (Call 1b, 5 types), and impact/usage classification (Call 2, 3 tasks) -- plus the seed-based synthetic training data, the PRWP… See the full description on the dataset page: https://huggingface.co/datasets/ai4data/fcv-data-use-paper.
Dataset Card for FCV Data-Use Paper
Companion dataset for the paper "Automated Tracking of Data Use in Fragile, Conflict, and Violence Settings: A Joint World Bank and UNHCR Multitask Extraction Framework" (Macalaba, Solatorio, Brock).
Three-model swarm over the forced-displacement / FCV corpus: dataset-mention extraction (Call 1), relation extraction (Call 1b, 5 types), and impact/usage classification (Call 2, 3 tasks) -- plus the seed-based synthetic training data, the PRWP training subset, and the per-source original extractions.
All splits are published verbatim exactly as used in the paper.
Configs
Schemas
extraction/sources:{"input", "output": {"entities": {"named_data", "descriptive_data", "vague_data"}, "entity_descriptions"}}.extractionrows carry ametafield tagging provenance:FCV(forced-displacement / FCV corpus),PRWP(Policy Research Working Papers -- manually annotated + reviewed/validated), orsynthetic(seed-based synthetic training data, flat-NER).train= FCV + PRWP + synthetic;validationandtestare FCV-only.synthetic-relation: relation-format synthetic training data ({"input", "output": {"entities": {"named_data", "organization"}, "relations": [{"<type>": {"head", "tail"}}]}, "_meta"}) fromrelation_training_syntheticandrelation_llm_generated, with asourcecolumn.relation:{"input", "output": {"entities": {"named_data", "organization"}, "relations": [{"<type>": {"head", "tail"}}]}, "_meta"}with typeshas_organization,used_by,has_acronym,has_timeframe,has_geography.impact:{"input", "output": {"classifications": [{"task", "labels", "true_label"}]}}with taskspurpose_action,usage,typology.sources: adds asourcecolumn (prwp,reliefweb,seis,esmap,refugee_pads) plusdocument_idandactive_learning; the 57 active-learning docs are emitted as flat-NER rows (invalid mentions filtered by verdict) flaggedactive_learning: true.
Citation
@misc{macalaba2026fcv,
title={Automated Tracking of Data Use in Fragile, Conflict, and Violence Settings},
author={Macalaba, Rafael and Solatorio, Aivin V. and Brock, Patrick Michael},
year={2026},
publisher={Hugging Face},
journal={ai4data/fcv-data-use-paper}
}