README.md

metadata

pretty_name: Geospatial data use in World Bank PADs and PIDs
configs:
  - config_name: projects
    data_files: data/projects.jsonl
  - config_name: documents
    data_files: data/documents.jsonl
  - config_name: passages
    data_files:
      - split: train
        path: data/passages/train.jsonl
  - config_name: related_mentions
    data_files:
      - split: train
        path: data/related_mentions/train.jsonl

Geospatial data use in World Bank PADs and PIDs

The data behind How often do World Bank projects use geospatial data?. Snapshot 938866a81eab, annotations to 2026-09-25 21:57 UTC. The page shows the same snapshot id.

Headline

	Out of: those that use data	Out of: all
Projects	1,165 of 1,932 (60.3%)	1,165 of 2,261 (51.5%)
Documents	1,637 of 3,544 (46.2%)	1,637 of 4,494 (36.4%)

A project uses geospatial data when at least one data mention in the reviewed passages of any of its PADs/PIDs is judged used (annotations[].data_use.used) and carries a place label (geospatial_class is point_geocoded, admin_linked or national_spatial_derived). Repeat copies of a document share a distinct_document_id, and a passage read twice counts once. projects.jsonl has the result per project.

Scope

Review sets umar_pads, umar_pads_500; document collection umar_pads: 4,708 PADs/PIDs from 2,261 projects, every one with at least one reviewed passage. Each document was checked against the World Bank documents catalogue (catalogue_check: exists, has the stated type, belongs to the stated project).

Files

• projects: one row per project, with country, World Bank country code (regional and multi-country projects carry codes such as 3W), current status, region, primary sector, approval date (World Bank Projects API) and the page's yes/no results.
• documents: one row per reviewed document id, with its catalogue record and check.
• passages: every reviewed passage with all annotations. data_use is the verdict the page counts (owner ruling first, else the agent's proposal); prior_data_use_rulings is the snapshot taken when the passage was annotated.
• related_mentions: the place-linked mentions only, with passage-aligned render_* offsets.
• metadata/summary.json: the four headlines; metadata/manifest.json: file hashes. reports/: the published pages.

Limits

These are AI-extracted data-use mentions from a sample of passages: an AI model found each data mention, judged whether the data was used, and labelled its geography against a written rubric, quoting the passage words as evidence. Only sampled passages of each document were read. See the page's "How reliable are these figures?" note for the stricter-check range.