Datasets:
Tasks:
Image-Text-to-Text
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
ArXiv:
License:
| # 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. | |