# Data dictionary ## Images and ImageFolder rows `data/test/metadata.jsonl` has one row per image. `file_name` is relative to `data/test/`; the manifest uses paths relative to the repository root. | Field | Meaning | | ----------------------------- | --------------------------------------------------------- | | `image_id` | Stable string identifier; join key across native files | | `category` | `synthetic` or `trap`; both contain generated images | | `width`, `height` | Original raster dimensions in pixels | | `plausibility`, `naturalness` | Final ordinal ratings, integers 1–5 | | `no_violation_detected` | True only for a usable negative | | `method_id` | Ground-truth resolution method, e.g. `GT-004` | | `objects.category_id` | List of integer class IDs, 1–97 | | `objects.bbox` | Parallel list of normalised `[x, y, width, height]` boxes | The loader exposes `image` as a decoded PIL image. Empty object lists are valid negative examples. There is one evaluation `test` split, no training split. `release/image_manifest.jsonl` adds the original image SHA-256 and byte count. IDs and categories are strings; dimensions and class IDs are integers. Boxes contain four floating-point values. Ratings are integers, and `no_violation_detected` is a boolean. The two `objects` lists have the same length: elements at the same index describe one instance. `category` records the source grouping, not the final positive/negative judgement. ## Native annotations `annotations/ground_truth.json` is an array of records with `image_id`, `kind`, `gold`, `base_annotator`, `source_annotators`, `adjudicated_by` and `edit_summary`. `gold.violations` contains `use_case_id` (`U01`–`U97`) and normalised XYWH `bbox`. It also contains the quality ratings and usable/negative state. The complete resolution provenance is in `edit_summary.resolution`, including `method_id`, name and version. `kind` alone does not identify how gold was obtained. `gold.reported` is false for every released final annotation. A usable negative has an empty violation list and `no_violation_detected: true`; a positive has one or more violations and `no_violation_detected: false`. Each violation retains its class name. Bounding boxes have positive width and height, with all edges inside the full-image range [0, 1]. `agreement_at_gold` is an optional historical agreement snapshot, not a new comparison of final labels. `base_annotator` and `adjudicated_by` can be null; actor references are opaque pseudonyms, not sortable identities. For rating meanings, use the [annotation rubric](annotation-protocol.md#the-rating-rubric). `annotations/first_pass_annotations.json` is an array joined by `image_id`. `first_pass` holds original per-annotator payloads; `n_first_pass` is their count. Actor IDs remain pseudonyms. Administrative text, personnel timestamps and local replay paths are nulled; free-form notes are emptied. Class labels, box coordinates, ratings, state, record order and provenance identifiers are preserved. The original local files have different hashes because these administrative fields were removed. Source hashes are retained in provenance. First-pass records also retain their original agreement snapshot and state flags. A reported or unfinished submission must not be inferred to be a clean negative merely because it has no boxes. `n_first_pass` is the actual number of submissions; do not assume exactly two. Null administrative fields mean that information is not distributed, rather than that the event never occurred. ## COCO compatibility COCO stands for Common Objects in Context, a widely used object-detection annotation format. `ground_truth_coco.json` is a derived compatibility export: - `images[].id` is a deterministic integer starting at 1, in sorted stable-ID order. `images[].image_id` retains the native string join key. - `images[].file_name` is relative to the dataset repository root. - `annotations[].image_id` references that integer image ID. - `category_id` 1 maps to `U01`, through 97 mapping to `U97`. - `bbox` is **pixel** XYWH. Multiply native x/width by image width and native y/height by image height. Coordinates are not rounded. - `area` is pixel width × height, and `iscrowd` is 0. Segmentation is absent. All images, including negatives with no annotation rows, occur in `images`. COCO does not carry the full native rating and resolution provenance; use the native file when those fields are required. ## Results and provenance `evaluation/dataset/` holds aggregate composition, first-pass agreement and final rating distributions. `evaluation/models/synthetic11534/results.json` holds valid/common scopes, coverage and per-class metrics; CSV is a summary. Prediction JSONL stores `image_id`, `model_name`, `latency_ms`, `parse_status` and `detections`. Each detection uses an integer `category_id` (1–97), a normalised XYWH `bbox` and, where available, a `score`. Retained scores are evidence and do not control evaluation. `release/checksums.sha256` covers every publication file except itself. `release/provenance.json` identifies the release, licence and original source filenames and hashes. Source hashes identify the original artifacts before administrative fields were removed; the checksum inventory covers the distributed files. ## Worked example Suppose an image is 1,000 pixels wide and 800 pixels high. A native violation with `use_case_id: "U03"` and `bbox: [0.10, 0.20, 0.30, 0.25]` is litter with its top-left corner at pixel (100, 160), width 300 and height 200. The equivalent COCO box is `[100, 160, 300, 200]`; its bottom-right corner is (400, 360). This example is illustrative rather than an additional dataset record. To trace a real example, take `image_id` from a loaded row, find the same key in both native annotation arrays, and use `release/image_manifest.jsonl` to locate its image. Join COCO annotations through the COCO integer `images[].id`; that integer is not the native string ID. Class integer 3 maps to `U03` in every representation. A class can occur in several boxes on one image. Keep those instances for localisation; deduplicate only the class IDs for image-level classification.