README.md

metadata

license: mit
pretty_name: Data Snapshot Metadata Gold
size_categories:
  - n<1K
tags:
  - metadata
  - document-ai
  - structured-data
configs:
  - config_name: default
    data_files:
      - split: train
        path:
          - prwp/figure/*.json
          - prwp/table/*.json
          - refugee/figure/*.json
          - refugee/table/*.json
          - unhcr/figure/*.json
          - unhcr/table/*.json

Data Snapshot Metadata Gold

This dataset contains human-reviewed metadata for 102 data snapshots: figures and tables extracted from institutional documents. Each JSON file describes one snapshot image in the ai4data/data-snapshot dataset.

This repository contains snapshot-level metadata only. It does not contain the snapshot images or the separate source-document metadata published in ai4data/data-snapshot.

Dataset structure

All records are currently assigned to the train split.

Source collection	Figures	Tables	Total
UNHCR	17	17	34
PRWP	17	17	34
Refugee	17	17	34
Total	51	51	102

The repository is organized by source collection and snapshot type:

data_snapshot_metadata_gold/
├── prwp/{figure,table}/*.json
├── refugee/{figure,table}/*.json
├── unhcr/{figure,table}/*.json
├── data_snapshot_metadata_schema_v1.4.schema.json
└── README.md

Metadata filenames follow this convention:

{source_document}_{figure|table}_{index}.json

The corresponding snapshot has the same basename and a .png extension in ai4data/data-snapshot. Source-document names may contain underscores, so use the full basename for matching rather than splitting on every underscore.

Loading the dataset

from datasets import load_dataset

dataset = load_dataset(
    "ai4data/data_snapshot_metadata_gold",
    split="train",
)

Metadata schema

The records conform to Data Snapshot Metadata Schema v1.4. The included data_snapshot_metadata_schema_v1.4.schema.json is a frozen, generated JSON Schema for this dataset release.

The canonical schema is implemented in Pydantic. This release is pinned to commit 2b317a4d95b1c929b32c790b678646fdfca16eef.

The JSON Schema uses JSON Schema Draft 2020-12. The complete field definitions, constraints, descriptions, and examples are provided in the schema file.

Schema v1.4 is fixed for this gold release. Subsequent schema changes will use a new version, beginning with v1.5, and will require a separate metadata review and dataset update.

Dataset creation

The metadata was initially produced through model-assisted structured extraction from data snapshot images. The generated records were subsequently reviewed and corrected by a human annotator against the images. Source-document metadata was not supplied to the extraction model.

"Gold" means human-reviewed. It does not imply that every field is objectively unambiguous or independently verified against the complete source document.

All 102 records were validated against the canonical Schema v1.4 Pydantic model before publication.

Intended uses

The dataset supports work on:

• structured metadata extraction from figures and tables;
• evaluation of schema-constrained extraction systems;
• metadata quality review and error analysis; and
• research on describing data-bearing content in institutional documents.

Limitations

• The dataset contains 102 selected snapshots and is not representative of all institutional documents or visualization types.
• Metadata is based on evidence visible in each snapshot image. Relevant context elsewhere in the source document may not be represented.
• Some fields require interpretation and may admit more than one reasonable annotation.
• The current release contains only a train split. Train/test assignments will be defined in a later dataset release.

License

The metadata in this repository is released under the MIT License. Snapshot images are not included here and remain subject to the licensing and attribution terms of their source dataset and original publishers.

Paper and citation

[TBD]