# NMR-Bench test data

`manifest.json` identifies each task's annotation file, sample count, and annotation-file SHA-256. Each `test.jsonl` record contains:

| Field | Meaning |
|---|---|
| `sample_id` | Stable benchmark identifier |
| `image` | Image path relative to the task directory |
| `image_sha256` | SHA-256 of the supplied PNG |
| `question` | Exact model input question |
| `answer` | Canonical target answer, used only by the scorer |
| `difficulty` | `easy`, `medium`, or `hard` |
| `task_form` | Counting question type, when applicable |
| `endpoint_type` | Path endpoint-marker category, when applicable |

The corresponding `metadata.jsonl` in each task directory exposes the same records to the Hugging Face image viewer. It uses `file_name` instead of `image` to associate each row with a PNG under `images/`; `test.jsonl` remains the evaluator's canonical annotation file.

Burden Counting has 420 images: seven forms × three difficulty levels × 20 images. Path Tracing has 360 images: three difficulty levels × 120 images, balanced across letters, numbers, icons, and shapes.

| Counting form | Question | Boxed answer |
|---|---|---|
| T1a | Category count | Integer |
| T2a | Category and size | Integer |
| T2b | Category and tilt | Integer |
| T2c | Category and occlusion | Integer |
| T2d | Category, size, and tilt | Integer |
| T3a | Compare size-group counts | Group label, count difference |
| T3b | Most frequent listed category | Category label, count |

Path answers list unordered endpoint pairs, for example `\boxed{(A, G), (B, M), (L, N)}`. Labels are normalized for case, numeric formatting, and backslash escapes.

The last boxed answer is used. Counting also supports the scorer's reasoning-channel fallback when a model provides reasoning separately. In the single tied T3a case, the stored canonical answer is `small, 0`, applied consistently to all models.

The model adapter receives only the image and question. Answers are reserved for scoring. Do not use target answers to construct prompts or predictions.