| ---
|
| license: unknown
|
| task_categories:
|
| - object-detection
|
| - image-segmentation
|
| tags:
|
| - pdf
|
| - document-layout-analysis
|
| - data-extraction
|
| language:
|
| - en
|
| - fr
|
| - es
|
| size_categories:
|
| - n<1K
|
| configs:
|
| - config_name: annotations
|
| data_files:
|
| - split: unhcr
|
| path: "annotations/unhcr/*.json"
|
| - split: prwp
|
| path: "annotations/prwp/*.json"
|
| - split: refugee
|
| path: "annotations/refugee/*.json"
|
| - config_name: metadata
|
| data_files:
|
| - split: unhcr
|
| path: "metadata/unhcr/*.json"
|
| - split: prwp
|
| path: "metadata/prwp/*.json"
|
| - split: refugee
|
| path: "metadata/refugee/*.json"
|
| ---
|
|
|
| # Dataset card for data-snapshot
|
|
|
| ## Dataset summary
|
| The `data-snapshot` dataset is an annotated corpus designed for the evaluation and development of models for extracting *data snapshots* from PDF documents. A **data snapshot** is defined as a figure or table that contains quantitative data derived from statistics, indicators, or structured data sources.
|
|
|
| ## Dataset structure
|
|
|
| The repository is organized as follows:
|
|
|
| ```
|
| ai4data/data-snapshot/
|
| ├── annotations/<source>/*.json # Contains annotation files per document
|
| ├── metadata/<source>/*.json # Document-level metadata
|
| ├── schemas/data-snapshot-eval-v1.3.schema.json # Provides the schema of the annotation file
|
| └── README.md
|
| ```
|
|
|
| ### Subsets
|
| - `annotations`
|
| - JSON files that indicate the data snapshots: their object class (Figure / Table) and bounding box locations (in normalized `[x1, y1, x2, y2]` format, top-left origin)
|
| - Follows the schema provided in `data-snapshot-eval-v1.3.schema.json`
|
| - Provided on a per-document basis or a combined JSON file per source
|
| - `metadata`
|
| - Provided on a per-document basis
|
|
|
| ### Sources
|
| - UNHCR
|
| - PRWP (WIP)
|
| - Refugee (WIP)
|
|
|
| ## Schema
|
|
|
| The annotation files follow the **Data Snapshot Evaluation Format (v1.3)**. Below is a simplified, human-readable example of the JSON schema with explanatory comments for each field.
|
|
|
| > **Note**: You will notice a top-level field called `predictions`. In the context of this dataset, this is a misnomer because these are actually human-labeled **annotations** (ground truth). We use the key `predictions` because we borrow this schema from the project's evaluation codebase, which uses a unified structure for both ground truth and model predictions.
|
|
|
| ```json
|
| {
|
| // Canonical mapping of integer IDs to class names
|
| "label_map": {
|
| "1": "Figure",
|
| "2": "Table"
|
| },
|
|
|
| // High-level metadata about the file
|
| "info": {
|
| "schema_version": "1.3",
|
| "type": "ground_truth", // Indicates these are human annotations
|
| "dataset_id": "data-snapshot_unhcr",
|
| "created_at": "2026-04-17T12:00:00Z",
|
| "coordinate_system": {
|
| "type": "normalized_xyxy",
|
| "range": [0.0, 1.0], // Bounding boxes are normalized between 0 and 1
|
| "origin": "top_left"
|
| }
|
| },
|
|
|
| // List of documents referenced in this file
|
| "documents": [
|
| {
|
| "doc_id": "1_advocacy_note_mineaction_-_niger_eng.pdf",
|
| "doc_name": "1_advocacy_note_mineaction_-_niger_eng.pdf",
|
| "doc_path": "pdf_input/1_advocacy_note_mineaction_-_niger_eng.pdf"
|
| }
|
| ],
|
|
|
| // Per-page container of objects; these contain the ground truth annotations
|
| "predictions": [
|
| {
|
| "page_id": "1_advocacy_note_mineaction_-_niger_eng.pdf::p001",
|
| "doc_id": "1_advocacy_note_mineaction_-_niger_eng.pdf",
|
| "page_index": 0, // 0-indexed page number
|
| // Image data for Label Studio (ignore this)
|
| "image": {
|
| "width_px": 2481,
|
| "height_px": 3508,
|
| "path": "images/1_advocacy_note_mineaction_-_niger_eng.pdf_p001.png"
|
| },
|
| "objects": [
|
| {
|
| "id": "obj_001",
|
| "label": "Figure", // Matches a label_map entry
|
| "bbox": [0.1, 0.2, 0.8, 0.6], // Normalized [x_min, y_min, x_max, y_max]
|
| }
|
| ]
|
| }
|
| ]
|
| }
|
| ```
|
|
|
| ## Dataset creation
|
| The annotations were produced through human labeling using Label Studio.
|
|
|
| ## Licensing information
|
| [TBD]
|
|
|
| ## Citation information
|
| [TBD]
|
|
|
