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Datasets:
mhabbasiit
/
NeuroQA

Tasks:
Visual Question Answering
Question Answering
Modalities:
Text
3D
Languages:
English
Size:
10K - 100K
Tags:
medical
brain-mri
neuroimaging
3d
vqa
benchmark
License:
Dataset card Data Studio Files
xet
 Community
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Initial release: Tier 1 (Public) — 17,303 QA pairs across 6 public datasets

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Files changed (22) hide show
  1. README.md +202 -3
  2. all_public/test.json +0 -0
  3. all_public/train.json +0 -0
  4. all_public/val.json +0 -0
  5. per_dataset/BraTS-GLI/test.json +0 -0
  6. per_dataset/BraTS-GLI/train.json +0 -0
  7. per_dataset/BraTS-GLI/val.json +0 -0
  8. per_dataset/BraTS-MEN/test.json +0 -0
  9. per_dataset/BraTS-MEN/train.json +0 -0
  10. per_dataset/BraTS-MEN/val.json +0 -0
  11. per_dataset/CC359/test.json +0 -0
  12. per_dataset/CC359/train.json +0 -0
  13. per_dataset/CC359/val.json +0 -0
  14. per_dataset/HCP-YA/test.json +0 -0
  15. per_dataset/HCP-YA/train.json +0 -0
  16. per_dataset/HCP-YA/val.json +0 -0
  17. per_dataset/IXI/test.json +0 -0
  18. per_dataset/IXI/train.json +0 -0
  19. per_dataset/IXI/val.json +0 -0
  20. per_dataset/WMH/test.json +427 -0
  21. per_dataset/WMH/train.json +2673 -0
  22. per_dataset/WMH/val.json +432 -0
README.md CHANGED
@@ -1,3 +1,202 @@
1
- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language:
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+ - en
4
+ license: cc-by-4.0
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+ task_categories:
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+ - visual-question-answering
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+ - question-answering
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+ tags:
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+ - medical
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+ - brain-mri
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+ - neuroimaging
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+ - 3d
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+ - vqa
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+ - benchmark
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+ size_categories:
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+ - 10K<n<100K
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+ pretty_name: "NeuroQA: 3D Brain MRI Question Answering Benchmark"
18
+ ---
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+
20
+ # NeuroQA: A Large-Scale Image-Grounded Benchmark for 3D Brain MRI Understanding
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+
22
+ NeuroQA is a benchmark for visual question answering on 3D brain MRI volumes. The full benchmark contains **56,953 QA pairs** over **12,977 subjects** from **12 neuroimaging datasets**, evaluating **11 clinically grounded reasoning skills** in three answer formats (Yes/No, multiple-choice, open-ended).
23
+
24
+ This HuggingFace repository hosts the **Tier 1 (Public)** subset of NeuroQA: **19,262 QA pairs** drawn from six permissively licensed datasets. The remaining **Tier 2 (DUA)** subset must be reproduced by users from their own data access — see the GitHub repository for the deterministic generation pipeline.
25
+
26
+ ## Quick links
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+
28
+ | Resource | Where |
29
+ |---|---|
30
+ | **Code, scripts, evaluation toolkit** | [github.com/mhabbasiit/neuroqa](https://github.com/mhabbasiit/neuroqa) |
31
+ | **Tier 2 (DUA) generation pipeline** | [github.com/mhabbasiit/neuroqa](https://github.com/mhabbasiit/neuroqa) — `tier2_pipeline/` |
32
+ | **Image preprocessing pipeline** (skullstrip + MNI registration) | [github.com/mhabbasiit/sMRI](https://github.com/mhabbasiit/sMRI) |
33
+ | **Leaderboard & test-private submissions** | [neuroqa.stanford.edu](https://neuroqa.stanford.edu) |
34
+
35
+ ---
36
+
37
+ ## What's in this repository
38
+
39
+ ```
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+ mhabbasiit/NeuroQA/
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+ ├── all_public/ # combined splits (6 public datasets)
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+ │ ├── train.json # 13,598 items
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+ │ ├── val.json # 1,892 items
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+ │ └── test.json # 1,813 items (= test_public, public-only subset)
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+ └── per_dataset/ # per-dataset breakdown
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+ ├── BraTS-GLI/{train,val,test}.json # 2,787 items
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+ ├── BraTS-MEN/{train,val,test}.json # 2,418 items
48
+ ├── CC359/{train,val,test}.json # 3,092 items
49
+ ├── HCP-YA/{train,val,test}.json # 5,909 items
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+ ├── IXI/{train,val,test}.json # 2,933 items
51
+ └── WMH/{train,val,test}.json # 164 items
52
+ ```
53
+
54
+ **Total Tier 1 on HuggingFace:** 17,303 QA pairs (Train + Val + Test-Public).
55
+ The remaining 1,959 Tier 1 items belong to the held-out **test-private** split, which is *not released here*; they are kept for the public leaderboard.
56
+
57
+ ---
58
+
59
+ ## Two-tier release
60
+
61
+ NeuroQA's source datasets have non-uniform licensing, so the benchmark is released in two tiers:
62
+
63
+ | | **Tier 1 (Public)** | **Tier 2 (DUA-restricted)** |
64
+ |---|---|---|
65
+ | Datasets | BraTS-GLI, BraTS-MEN, CC359, HCP-YA, IXI, WMH | ABCD, ADNI, AIBL, HCP-Aging, HCP-Development, PPMI |
66
+ | QA pairs | **19,262** | 37,691 |
67
+ | Subjects | 2,467 | 10,510 |
68
+ | Distribution | This HuggingFace dataset (QA only) | Generation scripts on GitHub — users obtain raw data themselves and reproduce QA bit-for-bit |
69
+
70
+ Both tiers share identical templates, validation rules, and evaluation code, so any claim established on Tier 1 transfers to Tier 2.
71
+
72
+ ---
73
+
74
+ ## Image data — not included
75
+
76
+ This repository contains **only QA JSON files**. All `image_path`, `image_path_t2`, and `image_path_prior` fields are set to `"#"`.
77
+
78
+ To use NeuroQA you need to:
79
+
80
+ 1. **Download raw images** from each public source:
81
+ - BraTS-GLI / BraTS-MEN: [synapse.org/brats](https://www.synapse.org/brats)
82
+ - CC359: [sites.google.com/view/calgary-campinas-dataset](https://sites.google.com/view/calgary-campinas-dataset)
83
+ - HCP-YA: [humanconnectome.org](https://www.humanconnectome.org/)
84
+ - IXI: [brain-development.org/ixi-dataset](https://brain-development.org/ixi-dataset/)
85
+ - WMH: [wmh.isi.uu.nl](https://wmh.isi.uu.nl/)
86
+
87
+ 2. **Preprocess to MNI-152 space** using our deterministic pipeline:
88
+ 👉 [github.com/mhabbasiit/sMRI](https://github.com/mhabbasiit/sMRI)
89
+ This applies skullstrip (FreeSurfer SynthStrip), rigid + affine registration to MNI-152, and z-score normalization with cropping. Running this pipeline ensures voxel-for-voxel consistency with the images NeuroQA was built on.
90
+
91
+ 3. **Map** the placeholder `"#"` paths in the QA JSONs to your local preprocessed images by `subject_id` + `session_date`.
92
+
93
+ ---
94
+
95
+ ## Loading the dataset
96
+
97
+ ```python
98
+ from datasets import load_dataset
99
+
100
+ # Combined public (6 datasets)
101
+ ds = load_dataset("mhabbasiit/NeuroQA", data_files={
102
+ "train": "all_public/train.json",
103
+ "val": "all_public/val.json",
104
+ "test": "all_public/test.json",
105
+ })
106
+
107
+ # Single dataset
108
+ ds_brats = load_dataset("mhabbasiit/NeuroQA", data_files={
109
+ "train": "per_dataset/BraTS-GLI/train.json",
110
+ "val": "per_dataset/BraTS-GLI/val.json",
111
+ "test": "per_dataset/BraTS-GLI/test.json",
112
+ })
113
+ ```
114
+
115
+ Or load directly with `json`:
116
+
117
+ ```python
118
+ import json
119
+ items = json.load(open("all_public/test.json"))
120
+ # Each item has: neuroqa_id, dataset, subject_id, question, answer, options,
121
+ # question_type (YN/MCQ/Open), category, image_path, image_path_t2, ...
122
+ ```
123
+
124
+ ---
125
+
126
+ ## Item schema
127
+
128
+ Every QA item is a JSON object with these fields:
129
+
130
+ | Field | Type | Description |
131
+ |---|---|---|
132
+ | `neuroqa_id` | str | Unique identifier (e.g., `BraTS-GLI-00427`) |
133
+ | `dataset` | str | Source dataset |
134
+ | `subject_id` | str | Subject identifier within the source dataset |
135
+ | `session_date` | str | Session/visit identifier |
136
+ | `question` | str | Question text |
137
+ | `answer` | str | Ground-truth answer |
138
+ | `options` | list/null | Four options (MCQ only); `null` for YN and Open |
139
+ | `question_type` | str | One of `YN`, `MCQ`, `Open` |
140
+ | `category` | str | One of 11 reasoning categories (Anatomy, Diagnosis, …) |
141
+ | `image_dependency` | str | `image-grounded` or `image-informed` |
142
+ | `image_required` | bool | Whether the image is needed to answer |
143
+ | `image_path` | str | Path to T1 volume (set to `"#"` in this release) |
144
+ | `image_path_t2` | str/null | Path to T2 volume if available (set to `"#"` if present) |
145
+ | `image_path_prior` | str/null | Path to prior scan (longitudinal items only) |
146
+ | `answerable_modalities` | list | Modalities for which the question is answerable |
147
+ | `human_assessable` | bool | Whether the answer is recoverable by visual inspection |
148
+ | `tier` | str | `pub` or `dua` |
149
+ | `split` | str | `train`, `val`, `test_public`, or `test_private` |
150
+
151
+ ---
152
+
153
+ ## Evaluation
154
+
155
+ Evaluation is performed with the official toolkit on GitHub:
156
+
157
+ ```bash
158
+ git clone https://github.com/mhabbasiit/neuroqa
159
+ cd neuroqa
160
+ python eval/evaluate.py --predictions preds.json --ground-truth all_public/test.json
161
+ ```
162
+
163
+ This computes per-dataset, per-category, per-format accuracy plus the Shortcut Score, BERTScore, and ROUGE-L for open-ended items. See `eval/README.md` on GitHub for details.
164
+
165
+ ### Test-private and the leaderboard
166
+
167
+ The held-out **test-private** split (5,581 items, including 1,959 from public datasets) has hidden ground-truth labels and is **not released**. To evaluate on test-private, submit predictions to the public leaderboard:
168
+
169
+ 👉 **[neuroqa.stanford.edu](https://neuroqa.stanford.edu)**
170
+
171
+ The leaderboard reports per-dataset, per-category, and per-format accuracy under standardized scoring.
172
+
173
+ ---
174
+
175
+ ## License
176
+
177
+ QA pairs released here are licensed under **CC-BY-4.0**.
178
+
179
+ Note: the underlying source images are governed by the original dataset licenses (BraTS, IXI, WMH, CC359, HCP-YA), which users must obtain and respect separately. This repository does **not** distribute images.
180
+
181
+ ---
182
+
183
+ ## Citation
184
+
185
+ If you use NeuroQA, please cite:
186
+
187
+ ```bibtex
188
+ @inproceedings{neuroqa2026,
189
+ title = {NeuroQA: A Large-Scale Image-Grounded Benchmark for 3D Brain MRI Understanding},
190
+ author = {Anonymous},
191
+ booktitle = {Advances in Neural Information Processing Systems (NeurIPS) — Evaluations and Datasets Track},
192
+ year = {2026}
193
+ }
194
+ ```
195
+
196
+ ---
197
+
198
+ ## Contact
199
+
200
+ Questions about the dataset: open an issue on [github.com/mhabbasiit/neuroqa](https://github.com/mhabbasiit/neuroqa).
201
+
202
+ Leaderboard / test-private requests: [neuroqa.stanford.edu](https://neuroqa.stanford.edu).
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1
+ [
2
+ {
3
+ "neuroqa_id": "WMH-00008",
4
+ "subject_id": "Utrecht_4",
5
+ "dataset": "WMH",
6
+ "image_required": true,
7
+ "category": "Signal",
8
+ "image_dependency": "image-grounded",
9
+ "question_type": "YN",
10
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
11
+ "answer": "No",
12
+ "options": null,
13
+ "image_path": "#",
14
+ "answerable_modalities": [
15
+ "T1w"
16
+ ],
17
+ "human_assessable": true,
18
+ "split": "test_public",
19
+ "tier": "public"
20
+ },
21
+ {
22
+ "neuroqa_id": "WMH-00034",
23
+ "subject_id": "GE3T_105",
24
+ "dataset": "WMH",
25
+ "image_required": true,
26
+ "category": "Signal",
27
+ "image_dependency": "image-grounded",
28
+ "question_type": "MCQ",
29
+ "question": "What is the T1 signal intensity of the white matter lesions?",
30
+ "answer": "hypointense",
31
+ "options": [
32
+ "mixed",
33
+ "hypointense",
34
+ "isointense",
35
+ "hyperintense"
36
+ ],
37
+ "image_path": "#",
38
+ "answerable_modalities": [
39
+ "T1w"
40
+ ],
41
+ "human_assessable": true,
42
+ "split": "test_public",
43
+ "tier": "public"
44
+ },
45
+ {
46
+ "neuroqa_id": "WMH-00045",
47
+ "subject_id": "Utrecht_4",
48
+ "dataset": "WMH",
49
+ "image_required": true,
50
+ "category": "Reasoning",
51
+ "image_dependency": "image-informed",
52
+ "question_type": "Open",
53
+ "question": "What imaging features support the subject's likely diagnosis?",
54
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1, lacunar infarcts.",
55
+ "options": null,
56
+ "image_path": "#",
57
+ "answerable_modalities": [
58
+ "T1w"
59
+ ],
60
+ "human_assessable": true,
61
+ "split": "test_public",
62
+ "tier": "public"
63
+ },
64
+ {
65
+ "neuroqa_id": "WMH-00054",
66
+ "subject_id": "Utrecht_4",
67
+ "dataset": "WMH",
68
+ "image_required": true,
69
+ "category": "Signal",
70
+ "image_dependency": "image-grounded",
71
+ "question_type": "MCQ",
72
+ "question": "What is the T1 signal intensity of the white matter lesions?",
73
+ "answer": "isointense",
74
+ "options": [
75
+ "hyperintense",
76
+ "hypointense",
77
+ "mixed",
78
+ "isointense"
79
+ ],
80
+ "image_path": "#",
81
+ "answerable_modalities": [
82
+ "T1w"
83
+ ],
84
+ "human_assessable": true,
85
+ "split": "test_public",
86
+ "tier": "public"
87
+ },
88
+ {
89
+ "neuroqa_id": "WMH-00057",
90
+ "subject_id": "GE3T_109",
91
+ "dataset": "WMH",
92
+ "image_required": true,
93
+ "category": "Diagnosis",
94
+ "image_dependency": "image-informed",
95
+ "question_type": "MCQ",
96
+ "question": "What is the most likely diagnosis?",
97
+ "answer": "white matter hyperintensities",
98
+ "options": [
99
+ "normal aging changes",
100
+ "infarction",
101
+ "gliosis",
102
+ "white matter hyperintensities"
103
+ ],
104
+ "image_path": "#",
105
+ "answerable_modalities": [
106
+ "T1w"
107
+ ],
108
+ "human_assessable": true,
109
+ "split": "test_public",
110
+ "tier": "public"
111
+ },
112
+ {
113
+ "neuroqa_id": "WMH-00072",
114
+ "subject_id": "Singapore_63",
115
+ "dataset": "WMH",
116
+ "image_required": true,
117
+ "category": "Signal",
118
+ "image_dependency": "image-grounded",
119
+ "question_type": "MCQ",
120
+ "question": "What is the T1 signal intensity of the white matter lesions?",
121
+ "answer": "hypointense",
122
+ "options": [
123
+ "mixed",
124
+ "hyperintense",
125
+ "isointense",
126
+ "hypointense"
127
+ ],
128
+ "image_path": "#",
129
+ "answerable_modalities": [
130
+ "T1w"
131
+ ],
132
+ "human_assessable": true,
133
+ "split": "test_public",
134
+ "tier": "public"
135
+ },
136
+ {
137
+ "neuroqa_id": "WMH-00082",
138
+ "subject_id": "Singapore_57",
139
+ "dataset": "WMH",
140
+ "image_required": true,
141
+ "category": "Signal",
142
+ "image_dependency": "image-grounded",
143
+ "question_type": "MCQ",
144
+ "question": "What is the T1 signal intensity of the white matter lesions?",
145
+ "answer": "isointense",
146
+ "options": [
147
+ "hypointense",
148
+ "isointense",
149
+ "mixed",
150
+ "hyperintense"
151
+ ],
152
+ "image_path": "#",
153
+ "answerable_modalities": [
154
+ "T1w"
155
+ ],
156
+ "human_assessable": true,
157
+ "split": "test_public",
158
+ "tier": "public"
159
+ },
160
+ {
161
+ "neuroqa_id": "WMH-00094",
162
+ "subject_id": "GE3T_105",
163
+ "dataset": "WMH",
164
+ "image_required": true,
165
+ "category": "Signal",
166
+ "image_dependency": "image-grounded",
167
+ "question_type": "YN",
168
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
169
+ "answer": "Yes",
170
+ "options": null,
171
+ "image_path": "#",
172
+ "answerable_modalities": [
173
+ "T1w"
174
+ ],
175
+ "human_assessable": true,
176
+ "split": "test_public",
177
+ "tier": "public"
178
+ },
179
+ {
180
+ "neuroqa_id": "WMH-00101",
181
+ "subject_id": "Singapore_57",
182
+ "dataset": "WMH",
183
+ "image_required": true,
184
+ "category": "Reasoning",
185
+ "image_dependency": "image-informed",
186
+ "question_type": "Open",
187
+ "question": "What imaging features support the subject's likely diagnosis?",
188
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
189
+ "options": null,
190
+ "image_path": "#",
191
+ "answerable_modalities": [
192
+ "T1w"
193
+ ],
194
+ "human_assessable": true,
195
+ "split": "test_public",
196
+ "tier": "public"
197
+ },
198
+ {
199
+ "neuroqa_id": "WMH-00111",
200
+ "subject_id": "Utrecht_29",
201
+ "dataset": "WMH",
202
+ "image_required": true,
203
+ "category": "Signal",
204
+ "image_dependency": "image-grounded",
205
+ "question_type": "MCQ",
206
+ "question": "What is the T1 signal intensity of the white matter lesions?",
207
+ "answer": "hypointense",
208
+ "options": [
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+ "mixed",
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+ "image_path": "#",
206
+ "answerable_modalities": [
207
+ "T1w"
208
+ ],
209
+ "human_assessable": true,
210
+ "split": "train",
211
+ "tier": "public"
212
+ },
213
+ {
214
+ "neuroqa_id": "WMH-00016",
215
+ "subject_id": "Utrecht_41",
216
+ "dataset": "WMH",
217
+ "image_required": true,
218
+ "category": "Reasoning",
219
+ "image_dependency": "image-informed",
220
+ "question_type": "Open",
221
+ "question": "What imaging features support the subject's likely diagnosis?",
222
+ "answer": "Key imaging features include: periventricular distribution, lacunar infarcts.",
223
+ "options": null,
224
+ "image_path": "#",
225
+ "answerable_modalities": [
226
+ "T1w"
227
+ ],
228
+ "human_assessable": true,
229
+ "split": "train",
230
+ "tier": "public"
231
+ },
232
+ {
233
+ "neuroqa_id": "WMH-00018",
234
+ "subject_id": "Singapore_67",
235
+ "dataset": "WMH",
236
+ "image_required": true,
237
+ "category": "Signal",
238
+ "image_dependency": "image-grounded",
239
+ "question_type": "MCQ",
240
+ "question": "What is the T1 signal intensity of the white matter lesions?",
241
+ "answer": "hypointense",
242
+ "options": [
243
+ "hyperintense",
244
+ "hypointense",
245
+ "isointense",
246
+ "mixed"
247
+ ],
248
+ "image_path": "#",
249
+ "answerable_modalities": [
250
+ "T1w"
251
+ ],
252
+ "human_assessable": true,
253
+ "split": "train",
254
+ "tier": "public"
255
+ },
256
+ {
257
+ "neuroqa_id": "WMH-00019",
258
+ "subject_id": "GE3T_104",
259
+ "dataset": "WMH",
260
+ "image_required": true,
261
+ "category": "Signal",
262
+ "image_dependency": "image-grounded",
263
+ "question_type": "YN",
264
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
265
+ "answer": "No",
266
+ "options": null,
267
+ "image_path": "#",
268
+ "answerable_modalities": [
269
+ "T1w"
270
+ ],
271
+ "human_assessable": true,
272
+ "split": "train",
273
+ "tier": "public"
274
+ },
275
+ {
276
+ "neuroqa_id": "WMH-00020",
277
+ "subject_id": "Singapore_53",
278
+ "dataset": "WMH",
279
+ "image_required": true,
280
+ "category": "Signal",
281
+ "image_dependency": "image-grounded",
282
+ "question_type": "MCQ",
283
+ "question": "What is the T1 signal intensity of the white matter lesions?",
284
+ "answer": "hypointense",
285
+ "options": [
286
+ "isointense",
287
+ "hyperintense",
288
+ "mixed",
289
+ "hypointense"
290
+ ],
291
+ "image_path": "#",
292
+ "answerable_modalities": [
293
+ "T1w"
294
+ ],
295
+ "human_assessable": true,
296
+ "split": "train",
297
+ "tier": "public"
298
+ },
299
+ {
300
+ "neuroqa_id": "WMH-00021",
301
+ "subject_id": "Singapore_66",
302
+ "dataset": "WMH",
303
+ "image_required": true,
304
+ "category": "Reasoning",
305
+ "image_dependency": "image-informed",
306
+ "question_type": "Open",
307
+ "question": "What imaging features support the subject's likely diagnosis?",
308
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
309
+ "options": null,
310
+ "image_path": "#",
311
+ "answerable_modalities": [
312
+ "T1w"
313
+ ],
314
+ "human_assessable": true,
315
+ "split": "train",
316
+ "tier": "public"
317
+ },
318
+ {
319
+ "neuroqa_id": "WMH-00022",
320
+ "subject_id": "GE3T_113",
321
+ "dataset": "WMH",
322
+ "image_required": true,
323
+ "category": "Signal",
324
+ "image_dependency": "image-grounded",
325
+ "question_type": "YN",
326
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
327
+ "answer": "No",
328
+ "options": null,
329
+ "image_path": "#",
330
+ "answerable_modalities": [
331
+ "T1w"
332
+ ],
333
+ "human_assessable": true,
334
+ "split": "train",
335
+ "tier": "public"
336
+ },
337
+ {
338
+ "neuroqa_id": "WMH-00023",
339
+ "subject_id": "Utrecht_37",
340
+ "dataset": "WMH",
341
+ "image_required": true,
342
+ "category": "Reasoning",
343
+ "image_dependency": "image-informed",
344
+ "question_type": "Open",
345
+ "question": "What imaging features support the subject's likely diagnosis?",
346
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
347
+ "options": null,
348
+ "image_path": "#",
349
+ "answerable_modalities": [
350
+ "T1w"
351
+ ],
352
+ "human_assessable": true,
353
+ "split": "train",
354
+ "tier": "public"
355
+ },
356
+ {
357
+ "neuroqa_id": "WMH-00024",
358
+ "subject_id": "GE3T_113",
359
+ "dataset": "WMH",
360
+ "image_required": true,
361
+ "category": "Diagnosis",
362
+ "image_dependency": "image-informed",
363
+ "question_type": "MCQ",
364
+ "question": "What is the most likely diagnosis?",
365
+ "answer": "infarction",
366
+ "options": [
367
+ "infarction",
368
+ "normal aging changes",
369
+ "white matter hyperintensities",
370
+ "gliosis"
371
+ ],
372
+ "image_path": "#",
373
+ "answerable_modalities": [
374
+ "T1w"
375
+ ],
376
+ "human_assessable": true,
377
+ "split": "train",
378
+ "tier": "public"
379
+ },
380
+ {
381
+ "neuroqa_id": "WMH-00025",
382
+ "subject_id": "GE3T_112",
383
+ "dataset": "WMH",
384
+ "image_required": true,
385
+ "category": "Signal",
386
+ "image_dependency": "image-grounded",
387
+ "question_type": "MCQ",
388
+ "question": "What is the T1 signal intensity of the white matter lesions?",
389
+ "answer": "isointense",
390
+ "options": [
391
+ "hyperintense",
392
+ "isointense",
393
+ "hypointense",
394
+ "mixed"
395
+ ],
396
+ "image_path": "#",
397
+ "answerable_modalities": [
398
+ "T1w"
399
+ ],
400
+ "human_assessable": true,
401
+ "split": "train",
402
+ "tier": "public"
403
+ },
404
+ {
405
+ "neuroqa_id": "WMH-00027",
406
+ "subject_id": "GE3T_108",
407
+ "dataset": "WMH",
408
+ "image_required": true,
409
+ "category": "Diagnosis",
410
+ "image_dependency": "image-informed",
411
+ "question_type": "MCQ",
412
+ "question": "What is the most likely diagnosis?",
413
+ "answer": "white matter hyperintensities",
414
+ "options": [
415
+ "white matter hyperintensities",
416
+ "gliosis",
417
+ "infarction",
418
+ "normal aging changes"
419
+ ],
420
+ "image_path": "#",
421
+ "answerable_modalities": [
422
+ "T1w"
423
+ ],
424
+ "human_assessable": true,
425
+ "split": "train",
426
+ "tier": "public"
427
+ },
428
+ {
429
+ "neuroqa_id": "WMH-00028",
430
+ "subject_id": "Singapore_61",
431
+ "dataset": "WMH",
432
+ "image_required": true,
433
+ "category": "Reasoning",
434
+ "image_dependency": "image-informed",
435
+ "question_type": "Open",
436
+ "question": "What imaging features support the subject's likely diagnosis?",
437
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
438
+ "options": null,
439
+ "image_path": "#",
440
+ "answerable_modalities": [
441
+ "T1w"
442
+ ],
443
+ "human_assessable": true,
444
+ "split": "train",
445
+ "tier": "public"
446
+ },
447
+ {
448
+ "neuroqa_id": "WMH-00031",
449
+ "subject_id": "Utrecht_25",
450
+ "dataset": "WMH",
451
+ "image_required": true,
452
+ "category": "Diagnosis",
453
+ "image_dependency": "image-informed",
454
+ "question_type": "MCQ",
455
+ "question": "What is the most likely diagnosis?",
456
+ "answer": "infarction",
457
+ "options": [
458
+ "normal aging changes",
459
+ "white matter hyperintensities",
460
+ "gliosis",
461
+ "infarction"
462
+ ],
463
+ "image_path": "#",
464
+ "answerable_modalities": [
465
+ "T1w"
466
+ ],
467
+ "human_assessable": true,
468
+ "split": "train",
469
+ "tier": "public"
470
+ },
471
+ {
472
+ "neuroqa_id": "WMH-00033",
473
+ "subject_id": "Utrecht_35",
474
+ "dataset": "WMH",
475
+ "image_required": true,
476
+ "category": "Signal",
477
+ "image_dependency": "image-grounded",
478
+ "question_type": "YN",
479
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
480
+ "answer": "No",
481
+ "options": null,
482
+ "image_path": "#",
483
+ "answerable_modalities": [
484
+ "T1w"
485
+ ],
486
+ "human_assessable": true,
487
+ "split": "train",
488
+ "tier": "public"
489
+ },
490
+ {
491
+ "neuroqa_id": "WMH-00035",
492
+ "subject_id": "Utrecht_19",
493
+ "dataset": "WMH",
494
+ "image_required": true,
495
+ "category": "Signal",
496
+ "image_dependency": "image-grounded",
497
+ "question_type": "MCQ",
498
+ "question": "What is the T1 signal intensity of the white matter lesions?",
499
+ "answer": "hypointense",
500
+ "options": [
501
+ "hyperintense",
502
+ "mixed",
503
+ "isointense",
504
+ "hypointense"
505
+ ],
506
+ "image_path": "#",
507
+ "answerable_modalities": [
508
+ "T1w"
509
+ ],
510
+ "human_assessable": true,
511
+ "split": "train",
512
+ "tier": "public"
513
+ },
514
+ {
515
+ "neuroqa_id": "WMH-00036",
516
+ "subject_id": "Singapore_51",
517
+ "dataset": "WMH",
518
+ "image_required": true,
519
+ "category": "Signal",
520
+ "image_dependency": "image-grounded",
521
+ "question_type": "MCQ",
522
+ "question": "What is the T1 signal intensity of the white matter lesions?",
523
+ "answer": "hypointense",
524
+ "options": [
525
+ "hypointense",
526
+ "mixed",
527
+ "hyperintense",
528
+ "isointense"
529
+ ],
530
+ "image_path": "#",
531
+ "answerable_modalities": [
532
+ "T1w"
533
+ ],
534
+ "human_assessable": true,
535
+ "split": "train",
536
+ "tier": "public"
537
+ },
538
+ {
539
+ "neuroqa_id": "WMH-00038",
540
+ "subject_id": "GE3T_103",
541
+ "dataset": "WMH",
542
+ "image_required": true,
543
+ "category": "Signal",
544
+ "image_dependency": "image-grounded",
545
+ "question_type": "MCQ",
546
+ "question": "What is the T1 signal intensity of the white matter lesions?",
547
+ "answer": "hypointense",
548
+ "options": [
549
+ "hypointense",
550
+ "hyperintense",
551
+ "mixed",
552
+ "isointense"
553
+ ],
554
+ "image_path": "#",
555
+ "answerable_modalities": [
556
+ "T1w"
557
+ ],
558
+ "human_assessable": true,
559
+ "split": "train",
560
+ "tier": "public"
561
+ },
562
+ {
563
+ "neuroqa_id": "WMH-00039",
564
+ "subject_id": "GE3T_104",
565
+ "dataset": "WMH",
566
+ "image_required": true,
567
+ "category": "Diagnosis",
568
+ "image_dependency": "image-informed",
569
+ "question_type": "MCQ",
570
+ "question": "What is the most likely diagnosis?",
571
+ "answer": "infarction",
572
+ "options": [
573
+ "normal aging changes",
574
+ "infarction",
575
+ "gliosis",
576
+ "white matter hyperintensities"
577
+ ],
578
+ "image_path": "#",
579
+ "answerable_modalities": [
580
+ "T1w"
581
+ ],
582
+ "human_assessable": true,
583
+ "split": "train",
584
+ "tier": "public"
585
+ },
586
+ {
587
+ "neuroqa_id": "WMH-00040",
588
+ "subject_id": "GE3T_103",
589
+ "dataset": "WMH",
590
+ "image_required": true,
591
+ "category": "Diagnosis",
592
+ "image_dependency": "image-informed",
593
+ "question_type": "MCQ",
594
+ "question": "What is the most likely diagnosis?",
595
+ "answer": "white matter hyperintensities",
596
+ "options": [
597
+ "white matter hyperintensities",
598
+ "infarction",
599
+ "normal aging changes",
600
+ "gliosis"
601
+ ],
602
+ "image_path": "#",
603
+ "answerable_modalities": [
604
+ "T1w"
605
+ ],
606
+ "human_assessable": true,
607
+ "split": "train",
608
+ "tier": "public"
609
+ },
610
+ {
611
+ "neuroqa_id": "WMH-00041",
612
+ "subject_id": "Singapore_53",
613
+ "dataset": "WMH",
614
+ "image_required": true,
615
+ "category": "Signal",
616
+ "image_dependency": "image-grounded",
617
+ "question_type": "YN",
618
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
619
+ "answer": "Yes",
620
+ "options": null,
621
+ "image_path": "#",
622
+ "answerable_modalities": [
623
+ "T1w"
624
+ ],
625
+ "human_assessable": true,
626
+ "split": "train",
627
+ "tier": "public"
628
+ },
629
+ {
630
+ "neuroqa_id": "WMH-00042",
631
+ "subject_id": "Utrecht_11",
632
+ "dataset": "WMH",
633
+ "image_required": true,
634
+ "category": "Signal",
635
+ "image_dependency": "image-grounded",
636
+ "question_type": "MCQ",
637
+ "question": "What is the T1 signal intensity of the white matter lesions?",
638
+ "answer": "isointense",
639
+ "options": [
640
+ "hyperintense",
641
+ "mixed",
642
+ "hypointense",
643
+ "isointense"
644
+ ],
645
+ "image_path": "#",
646
+ "answerable_modalities": [
647
+ "T1w"
648
+ ],
649
+ "human_assessable": true,
650
+ "split": "train",
651
+ "tier": "public"
652
+ },
653
+ {
654
+ "neuroqa_id": "WMH-00043",
655
+ "subject_id": "Utrecht_23",
656
+ "dataset": "WMH",
657
+ "image_required": true,
658
+ "category": "Reasoning",
659
+ "image_dependency": "image-informed",
660
+ "question_type": "Open",
661
+ "question": "What imaging features support the subject's likely diagnosis?",
662
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
663
+ "options": null,
664
+ "image_path": "#",
665
+ "answerable_modalities": [
666
+ "T1w"
667
+ ],
668
+ "human_assessable": true,
669
+ "split": "train",
670
+ "tier": "public"
671
+ },
672
+ {
673
+ "neuroqa_id": "WMH-00047",
674
+ "subject_id": "GE3T_108",
675
+ "dataset": "WMH",
676
+ "image_required": true,
677
+ "category": "Reasoning",
678
+ "image_dependency": "image-informed",
679
+ "question_type": "Open",
680
+ "question": "What imaging features support the subject's likely diagnosis?",
681
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
682
+ "options": null,
683
+ "image_path": "#",
684
+ "answerable_modalities": [
685
+ "T1w"
686
+ ],
687
+ "human_assessable": true,
688
+ "split": "train",
689
+ "tier": "public"
690
+ },
691
+ {
692
+ "neuroqa_id": "WMH-00048",
693
+ "subject_id": "Utrecht_2",
694
+ "dataset": "WMH",
695
+ "image_required": true,
696
+ "category": "Signal",
697
+ "image_dependency": "image-grounded",
698
+ "question_type": "YN",
699
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
700
+ "answer": "Yes",
701
+ "options": null,
702
+ "image_path": "#",
703
+ "answerable_modalities": [
704
+ "T1w"
705
+ ],
706
+ "human_assessable": true,
707
+ "split": "train",
708
+ "tier": "public"
709
+ },
710
+ {
711
+ "neuroqa_id": "WMH-00049",
712
+ "subject_id": "Utrecht_11",
713
+ "dataset": "WMH",
714
+ "image_required": true,
715
+ "category": "Signal",
716
+ "image_dependency": "image-grounded",
717
+ "question_type": "YN",
718
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
719
+ "answer": "No",
720
+ "options": null,
721
+ "image_path": "#",
722
+ "answerable_modalities": [
723
+ "T1w"
724
+ ],
725
+ "human_assessable": true,
726
+ "split": "train",
727
+ "tier": "public"
728
+ },
729
+ {
730
+ "neuroqa_id": "WMH-00050",
731
+ "subject_id": "GE3T_132",
732
+ "dataset": "WMH",
733
+ "image_required": true,
734
+ "category": "Diagnosis",
735
+ "image_dependency": "image-informed",
736
+ "question_type": "MCQ",
737
+ "question": "What is the most likely diagnosis?",
738
+ "answer": "white matter hyperintensities",
739
+ "options": [
740
+ "white matter hyperintensities",
741
+ "gliosis",
742
+ "infarction",
743
+ "normal aging changes"
744
+ ],
745
+ "image_path": "#",
746
+ "answerable_modalities": [
747
+ "T1w"
748
+ ],
749
+ "human_assessable": true,
750
+ "split": "train",
751
+ "tier": "public"
752
+ },
753
+ {
754
+ "neuroqa_id": "WMH-00051",
755
+ "subject_id": "Utrecht_2",
756
+ "dataset": "WMH",
757
+ "image_required": true,
758
+ "category": "Reasoning",
759
+ "image_dependency": "image-informed",
760
+ "question_type": "Open",
761
+ "question": "What imaging features support the subject's likely diagnosis?",
762
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
763
+ "options": null,
764
+ "image_path": "#",
765
+ "answerable_modalities": [
766
+ "T1w"
767
+ ],
768
+ "human_assessable": true,
769
+ "split": "train",
770
+ "tier": "public"
771
+ },
772
+ {
773
+ "neuroqa_id": "WMH-00052",
774
+ "subject_id": "Singapore_56",
775
+ "dataset": "WMH",
776
+ "image_required": true,
777
+ "category": "Signal",
778
+ "image_dependency": "image-grounded",
779
+ "question_type": "YN",
780
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
781
+ "answer": "No",
782
+ "options": null,
783
+ "image_path": "#",
784
+ "answerable_modalities": [
785
+ "T1w"
786
+ ],
787
+ "human_assessable": true,
788
+ "split": "train",
789
+ "tier": "public"
790
+ },
791
+ {
792
+ "neuroqa_id": "WMH-00053",
793
+ "subject_id": "Singapore_50",
794
+ "dataset": "WMH",
795
+ "image_required": true,
796
+ "category": "Diagnosis",
797
+ "image_dependency": "image-informed",
798
+ "question_type": "MCQ",
799
+ "question": "What is the most likely diagnosis?",
800
+ "answer": "white matter hyperintensities",
801
+ "options": [
802
+ "white matter hyperintensities",
803
+ "gliosis",
804
+ "infarction",
805
+ "normal aging changes"
806
+ ],
807
+ "image_path": "#",
808
+ "answerable_modalities": [
809
+ "T1w"
810
+ ],
811
+ "human_assessable": true,
812
+ "split": "train",
813
+ "tier": "public"
814
+ },
815
+ {
816
+ "neuroqa_id": "WMH-00056",
817
+ "subject_id": "GE3T_132",
818
+ "dataset": "WMH",
819
+ "image_required": true,
820
+ "category": "Signal",
821
+ "image_dependency": "image-grounded",
822
+ "question_type": "MCQ",
823
+ "question": "What is the T1 signal intensity of the white matter lesions?",
824
+ "answer": "isointense",
825
+ "options": [
826
+ "hyperintense",
827
+ "mixed",
828
+ "isointense",
829
+ "hypointense"
830
+ ],
831
+ "image_path": "#",
832
+ "answerable_modalities": [
833
+ "T1w"
834
+ ],
835
+ "human_assessable": true,
836
+ "split": "train",
837
+ "tier": "public"
838
+ },
839
+ {
840
+ "neuroqa_id": "WMH-00058",
841
+ "subject_id": "Utrecht_49",
842
+ "dataset": "WMH",
843
+ "image_required": true,
844
+ "category": "Signal",
845
+ "image_dependency": "image-grounded",
846
+ "question_type": "YN",
847
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
848
+ "answer": "Yes",
849
+ "options": null,
850
+ "image_path": "#",
851
+ "answerable_modalities": [
852
+ "T1w"
853
+ ],
854
+ "human_assessable": true,
855
+ "split": "train",
856
+ "tier": "public"
857
+ },
858
+ {
859
+ "neuroqa_id": "WMH-00059",
860
+ "subject_id": "Singapore_56",
861
+ "dataset": "WMH",
862
+ "image_required": true,
863
+ "category": "Signal",
864
+ "image_dependency": "image-grounded",
865
+ "question_type": "MCQ",
866
+ "question": "What is the T1 signal intensity of the white matter lesions?",
867
+ "answer": "isointense",
868
+ "options": [
869
+ "hyperintense",
870
+ "hypointense",
871
+ "isointense",
872
+ "mixed"
873
+ ],
874
+ "image_path": "#",
875
+ "answerable_modalities": [
876
+ "T1w"
877
+ ],
878
+ "human_assessable": true,
879
+ "split": "train",
880
+ "tier": "public"
881
+ },
882
+ {
883
+ "neuroqa_id": "WMH-00060",
884
+ "subject_id": "Singapore_65",
885
+ "dataset": "WMH",
886
+ "image_required": true,
887
+ "category": "Diagnosis",
888
+ "image_dependency": "image-informed",
889
+ "question_type": "MCQ",
890
+ "question": "What is the most likely diagnosis?",
891
+ "answer": "white matter hyperintensities",
892
+ "options": [
893
+ "normal aging changes",
894
+ "white matter hyperintensities",
895
+ "gliosis",
896
+ "infarction"
897
+ ],
898
+ "image_path": "#",
899
+ "answerable_modalities": [
900
+ "T1w"
901
+ ],
902
+ "human_assessable": true,
903
+ "split": "train",
904
+ "tier": "public"
905
+ },
906
+ {
907
+ "neuroqa_id": "WMH-00061",
908
+ "subject_id": "Utrecht_11",
909
+ "dataset": "WMH",
910
+ "image_required": true,
911
+ "category": "Diagnosis",
912
+ "image_dependency": "image-informed",
913
+ "question_type": "MCQ",
914
+ "question": "What is the most likely diagnosis?",
915
+ "answer": "gliosis",
916
+ "options": [
917
+ "normal aging changes",
918
+ "gliosis",
919
+ "white matter hyperintensities",
920
+ "infarction"
921
+ ],
922
+ "image_path": "#",
923
+ "answerable_modalities": [
924
+ "T1w"
925
+ ],
926
+ "human_assessable": true,
927
+ "split": "train",
928
+ "tier": "public"
929
+ },
930
+ {
931
+ "neuroqa_id": "WMH-00062",
932
+ "subject_id": "GE3T_137",
933
+ "dataset": "WMH",
934
+ "image_required": true,
935
+ "category": "Diagnosis",
936
+ "image_dependency": "image-informed",
937
+ "question_type": "MCQ",
938
+ "question": "What is the most likely diagnosis?",
939
+ "answer": "white matter hyperintensities",
940
+ "options": [
941
+ "gliosis",
942
+ "infarction",
943
+ "normal aging changes",
944
+ "white matter hyperintensities"
945
+ ],
946
+ "image_path": "#",
947
+ "answerable_modalities": [
948
+ "T1w"
949
+ ],
950
+ "human_assessable": true,
951
+ "split": "train",
952
+ "tier": "public"
953
+ },
954
+ {
955
+ "neuroqa_id": "WMH-00063",
956
+ "subject_id": "Utrecht_25",
957
+ "dataset": "WMH",
958
+ "image_required": true,
959
+ "category": "Signal",
960
+ "image_dependency": "image-grounded",
961
+ "question_type": "MCQ",
962
+ "question": "What is the T1 signal intensity of the white matter lesions?",
963
+ "answer": "hypointense",
964
+ "options": [
965
+ "isointense",
966
+ "mixed",
967
+ "hyperintense",
968
+ "hypointense"
969
+ ],
970
+ "image_path": "#",
971
+ "answerable_modalities": [
972
+ "T1w"
973
+ ],
974
+ "human_assessable": true,
975
+ "split": "train",
976
+ "tier": "public"
977
+ },
978
+ {
979
+ "neuroqa_id": "WMH-00066",
980
+ "subject_id": "Utrecht_37",
981
+ "dataset": "WMH",
982
+ "image_required": true,
983
+ "category": "Diagnosis",
984
+ "image_dependency": "image-informed",
985
+ "question_type": "MCQ",
986
+ "question": "What is the most likely diagnosis?",
987
+ "answer": "white matter hyperintensities",
988
+ "options": [
989
+ "normal aging changes",
990
+ "infarction",
991
+ "gliosis",
992
+ "white matter hyperintensities"
993
+ ],
994
+ "image_path": "#",
995
+ "answerable_modalities": [
996
+ "T1w"
997
+ ],
998
+ "human_assessable": true,
999
+ "split": "train",
1000
+ "tier": "public"
1001
+ },
1002
+ {
1003
+ "neuroqa_id": "WMH-00068",
1004
+ "subject_id": "Utrecht_0",
1005
+ "dataset": "WMH",
1006
+ "image_required": true,
1007
+ "category": "Signal",
1008
+ "image_dependency": "image-grounded",
1009
+ "question_type": "MCQ",
1010
+ "question": "What is the T1 signal intensity of the white matter lesions?",
1011
+ "answer": "hypointense",
1012
+ "options": [
1013
+ "isointense",
1014
+ "hyperintense",
1015
+ "hypointense",
1016
+ "mixed"
1017
+ ],
1018
+ "image_path": "#",
1019
+ "answerable_modalities": [
1020
+ "T1w"
1021
+ ],
1022
+ "human_assessable": true,
1023
+ "split": "train",
1024
+ "tier": "public"
1025
+ },
1026
+ {
1027
+ "neuroqa_id": "WMH-00070",
1028
+ "subject_id": "GE3T_107",
1029
+ "dataset": "WMH",
1030
+ "image_required": true,
1031
+ "category": "Diagnosis",
1032
+ "image_dependency": "image-informed",
1033
+ "question_type": "MCQ",
1034
+ "question": "What is the most likely diagnosis?",
1035
+ "answer": "white matter hyperintensities",
1036
+ "options": [
1037
+ "white matter hyperintensities",
1038
+ "gliosis",
1039
+ "infarction",
1040
+ "normal aging changes"
1041
+ ],
1042
+ "image_path": "#",
1043
+ "answerable_modalities": [
1044
+ "T1w"
1045
+ ],
1046
+ "human_assessable": true,
1047
+ "split": "train",
1048
+ "tier": "public"
1049
+ },
1050
+ {
1051
+ "neuroqa_id": "WMH-00075",
1052
+ "subject_id": "GE3T_101",
1053
+ "dataset": "WMH",
1054
+ "image_required": true,
1055
+ "category": "Reasoning",
1056
+ "image_dependency": "image-informed",
1057
+ "question_type": "Open",
1058
+ "question": "What imaging features support the subject's likely diagnosis?",
1059
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1, lacunar infarcts.",
1060
+ "options": null,
1061
+ "image_path": "#",
1062
+ "answerable_modalities": [
1063
+ "T1w"
1064
+ ],
1065
+ "human_assessable": true,
1066
+ "split": "train",
1067
+ "tier": "public"
1068
+ },
1069
+ {
1070
+ "neuroqa_id": "WMH-00076",
1071
+ "subject_id": "Utrecht_23",
1072
+ "dataset": "WMH",
1073
+ "image_required": true,
1074
+ "category": "Signal",
1075
+ "image_dependency": "image-grounded",
1076
+ "question_type": "YN",
1077
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
1078
+ "answer": "No",
1079
+ "options": null,
1080
+ "image_path": "#",
1081
+ "answerable_modalities": [
1082
+ "T1w"
1083
+ ],
1084
+ "human_assessable": true,
1085
+ "split": "train",
1086
+ "tier": "public"
1087
+ },
1088
+ {
1089
+ "neuroqa_id": "WMH-00078",
1090
+ "subject_id": "Singapore_61",
1091
+ "dataset": "WMH",
1092
+ "image_required": true,
1093
+ "category": "Signal",
1094
+ "image_dependency": "image-grounded",
1095
+ "question_type": "MCQ",
1096
+ "question": "What is the T1 signal intensity of the white matter lesions?",
1097
+ "answer": "isointense",
1098
+ "options": [
1099
+ "hyperintense",
1100
+ "hypointense",
1101
+ "isointense",
1102
+ "mixed"
1103
+ ],
1104
+ "image_path": "#",
1105
+ "answerable_modalities": [
1106
+ "T1w"
1107
+ ],
1108
+ "human_assessable": true,
1109
+ "split": "train",
1110
+ "tier": "public"
1111
+ },
1112
+ {
1113
+ "neuroqa_id": "WMH-00080",
1114
+ "subject_id": "Singapore_56",
1115
+ "dataset": "WMH",
1116
+ "image_required": true,
1117
+ "category": "Diagnosis",
1118
+ "image_dependency": "image-informed",
1119
+ "question_type": "MCQ",
1120
+ "question": "What is the most likely diagnosis?",
1121
+ "answer": "white matter hyperintensities",
1122
+ "options": [
1123
+ "infarction",
1124
+ "gliosis",
1125
+ "normal aging changes",
1126
+ "white matter hyperintensities"
1127
+ ],
1128
+ "image_path": "#",
1129
+ "answerable_modalities": [
1130
+ "T1w"
1131
+ ],
1132
+ "human_assessable": true,
1133
+ "split": "train",
1134
+ "tier": "public"
1135
+ },
1136
+ {
1137
+ "neuroqa_id": "WMH-00081",
1138
+ "subject_id": "Singapore_67",
1139
+ "dataset": "WMH",
1140
+ "image_required": true,
1141
+ "category": "Reasoning",
1142
+ "image_dependency": "image-informed",
1143
+ "question_type": "Open",
1144
+ "question": "What imaging features support the subject's likely diagnosis?",
1145
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
1146
+ "options": null,
1147
+ "image_path": "#",
1148
+ "answerable_modalities": [
1149
+ "T1w"
1150
+ ],
1151
+ "human_assessable": true,
1152
+ "split": "train",
1153
+ "tier": "public"
1154
+ },
1155
+ {
1156
+ "neuroqa_id": "WMH-00083",
1157
+ "subject_id": "GE3T_113",
1158
+ "dataset": "WMH",
1159
+ "image_required": true,
1160
+ "category": "Signal",
1161
+ "image_dependency": "image-grounded",
1162
+ "question_type": "MCQ",
1163
+ "question": "What is the T1 signal intensity of the white matter lesions?",
1164
+ "answer": "isointense",
1165
+ "options": [
1166
+ "mixed",
1167
+ "hyperintense",
1168
+ "isointense",
1169
+ "hypointense"
1170
+ ],
1171
+ "image_path": "#",
1172
+ "answerable_modalities": [
1173
+ "T1w"
1174
+ ],
1175
+ "human_assessable": true,
1176
+ "split": "train",
1177
+ "tier": "public"
1178
+ },
1179
+ {
1180
+ "neuroqa_id": "WMH-00085",
1181
+ "subject_id": "Singapore_61",
1182
+ "dataset": "WMH",
1183
+ "image_required": true,
1184
+ "category": "Diagnosis",
1185
+ "image_dependency": "image-informed",
1186
+ "question_type": "MCQ",
1187
+ "question": "What is the most likely diagnosis?",
1188
+ "answer": "white matter hyperintensities",
1189
+ "options": [
1190
+ "infarction",
1191
+ "gliosis",
1192
+ "white matter hyperintensities",
1193
+ "normal aging changes"
1194
+ ],
1195
+ "image_path": "#",
1196
+ "answerable_modalities": [
1197
+ "T1w"
1198
+ ],
1199
+ "human_assessable": true,
1200
+ "split": "train",
1201
+ "tier": "public"
1202
+ },
1203
+ {
1204
+ "neuroqa_id": "WMH-00086",
1205
+ "subject_id": "GE3T_114",
1206
+ "dataset": "WMH",
1207
+ "image_required": true,
1208
+ "category": "Signal",
1209
+ "image_dependency": "image-grounded",
1210
+ "question_type": "YN",
1211
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
1212
+ "answer": "Yes",
1213
+ "options": null,
1214
+ "image_path": "#",
1215
+ "answerable_modalities": [
1216
+ "T1w"
1217
+ ],
1218
+ "human_assessable": true,
1219
+ "split": "train",
1220
+ "tier": "public"
1221
+ },
1222
+ {
1223
+ "neuroqa_id": "WMH-00087",
1224
+ "subject_id": "Utrecht_21",
1225
+ "dataset": "WMH",
1226
+ "image_required": true,
1227
+ "category": "Signal",
1228
+ "image_dependency": "image-grounded",
1229
+ "question_type": "YN",
1230
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
1231
+ "answer": "Yes",
1232
+ "options": null,
1233
+ "image_path": "#",
1234
+ "answerable_modalities": [
1235
+ "T1w"
1236
+ ],
1237
+ "human_assessable": true,
1238
+ "split": "train",
1239
+ "tier": "public"
1240
+ },
1241
+ {
1242
+ "neuroqa_id": "WMH-00088",
1243
+ "subject_id": "Utrecht_17",
1244
+ "dataset": "WMH",
1245
+ "image_required": true,
1246
+ "category": "Diagnosis",
1247
+ "image_dependency": "image-informed",
1248
+ "question_type": "MCQ",
1249
+ "question": "What is the most likely diagnosis?",
1250
+ "answer": "gliosis",
1251
+ "options": [
1252
+ "infarction",
1253
+ "normal aging changes",
1254
+ "gliosis",
1255
+ "white matter hyperintensities"
1256
+ ],
1257
+ "image_path": "#",
1258
+ "answerable_modalities": [
1259
+ "T1w"
1260
+ ],
1261
+ "human_assessable": true,
1262
+ "split": "train",
1263
+ "tier": "public"
1264
+ },
1265
+ {
1266
+ "neuroqa_id": "WMH-00090",
1267
+ "subject_id": "Singapore_56",
1268
+ "dataset": "WMH",
1269
+ "image_required": true,
1270
+ "category": "Reasoning",
1271
+ "image_dependency": "image-informed",
1272
+ "question_type": "Open",
1273
+ "question": "What imaging features support the subject's likely diagnosis?",
1274
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
1275
+ "options": null,
1276
+ "image_path": "#",
1277
+ "answerable_modalities": [
1278
+ "T1w"
1279
+ ],
1280
+ "human_assessable": true,
1281
+ "split": "train",
1282
+ "tier": "public"
1283
+ },
1284
+ {
1285
+ "neuroqa_id": "WMH-00091",
1286
+ "subject_id": "GE3T_100",
1287
+ "dataset": "WMH",
1288
+ "image_required": true,
1289
+ "category": "Signal",
1290
+ "image_dependency": "image-grounded",
1291
+ "question_type": "YN",
1292
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
1293
+ "answer": "No",
1294
+ "options": null,
1295
+ "image_path": "#",
1296
+ "answerable_modalities": [
1297
+ "T1w"
1298
+ ],
1299
+ "human_assessable": true,
1300
+ "split": "train",
1301
+ "tier": "public"
1302
+ },
1303
+ {
1304
+ "neuroqa_id": "WMH-00092",
1305
+ "subject_id": "GE3T_100",
1306
+ "dataset": "WMH",
1307
+ "image_required": true,
1308
+ "category": "Reasoning",
1309
+ "image_dependency": "image-informed",
1310
+ "question_type": "Open",
1311
+ "question": "What imaging features support the subject's likely diagnosis?",
1312
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
1313
+ "options": null,
1314
+ "image_path": "#",
1315
+ "answerable_modalities": [
1316
+ "T1w"
1317
+ ],
1318
+ "human_assessable": true,
1319
+ "split": "train",
1320
+ "tier": "public"
1321
+ },
1322
+ {
1323
+ "neuroqa_id": "WMH-00093",
1324
+ "subject_id": "Singapore_50",
1325
+ "dataset": "WMH",
1326
+ "image_required": true,
1327
+ "category": "Signal",
1328
+ "image_dependency": "image-grounded",
1329
+ "question_type": "MCQ",
1330
+ "question": "What is the T1 signal intensity of the white matter lesions?",
1331
+ "answer": "hypointense",
1332
+ "options": [
1333
+ "hyperintense",
1334
+ "hypointense",
1335
+ "isointense",
1336
+ "mixed"
1337
+ ],
1338
+ "image_path": "#",
1339
+ "answerable_modalities": [
1340
+ "T1w"
1341
+ ],
1342
+ "human_assessable": true,
1343
+ "split": "train",
1344
+ "tier": "public"
1345
+ },
1346
+ {
1347
+ "neuroqa_id": "WMH-00095",
1348
+ "subject_id": "Utrecht_17",
1349
+ "dataset": "WMH",
1350
+ "image_required": true,
1351
+ "category": "Signal",
1352
+ "image_dependency": "image-grounded",
1353
+ "question_type": "YN",
1354
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
1355
+ "answer": "Yes",
1356
+ "options": null,
1357
+ "image_path": "#",
1358
+ "answerable_modalities": [
1359
+ "T1w"
1360
+ ],
1361
+ "human_assessable": true,
1362
+ "split": "train",
1363
+ "tier": "public"
1364
+ },
1365
+ {
1366
+ "neuroqa_id": "WMH-00098",
1367
+ "subject_id": "Singapore_53",
1368
+ "dataset": "WMH",
1369
+ "image_required": true,
1370
+ "category": "Reasoning",
1371
+ "image_dependency": "image-informed",
1372
+ "question_type": "Open",
1373
+ "question": "What imaging features support the subject's likely diagnosis?",
1374
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
1375
+ "options": null,
1376
+ "image_path": "#",
1377
+ "answerable_modalities": [
1378
+ "T1w"
1379
+ ],
1380
+ "human_assessable": true,
1381
+ "split": "train",
1382
+ "tier": "public"
1383
+ },
1384
+ {
1385
+ "neuroqa_id": "WMH-00099",
1386
+ "subject_id": "Singapore_50",
1387
+ "dataset": "WMH",
1388
+ "image_required": true,
1389
+ "category": "Reasoning",
1390
+ "image_dependency": "image-informed",
1391
+ "question_type": "Open",
1392
+ "question": "What imaging features support the subject's likely diagnosis?",
1393
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
1394
+ "options": null,
1395
+ "image_path": "#",
1396
+ "answerable_modalities": [
1397
+ "T1w"
1398
+ ],
1399
+ "human_assessable": true,
1400
+ "split": "train",
1401
+ "tier": "public"
1402
+ },
1403
+ {
1404
+ "neuroqa_id": "WMH-00100",
1405
+ "subject_id": "GE3T_106",
1406
+ "dataset": "WMH",
1407
+ "image_required": true,
1408
+ "category": "Signal",
1409
+ "image_dependency": "image-grounded",
1410
+ "question_type": "MCQ",
1411
+ "question": "What is the T1 signal intensity of the white matter lesions?",
1412
+ "answer": "isointense",
1413
+ "options": [
1414
+ "hypointense",
1415
+ "mixed",
1416
+ "isointense",
1417
+ "hyperintense"
1418
+ ],
1419
+ "image_path": "#",
1420
+ "answerable_modalities": [
1421
+ "T1w"
1422
+ ],
1423
+ "human_assessable": true,
1424
+ "split": "train",
1425
+ "tier": "public"
1426
+ },
1427
+ {
1428
+ "neuroqa_id": "WMH-00103",
1429
+ "subject_id": "GE3T_101",
1430
+ "dataset": "WMH",
1431
+ "image_required": true,
1432
+ "category": "Diagnosis",
1433
+ "image_dependency": "image-informed",
1434
+ "question_type": "MCQ",
1435
+ "question": "What is the most likely diagnosis?",
1436
+ "answer": "infarction",
1437
+ "options": [
1438
+ "infarction",
1439
+ "white matter hyperintensities",
1440
+ "normal aging changes",
1441
+ "gliosis"
1442
+ ],
1443
+ "image_path": "#",
1444
+ "answerable_modalities": [
1445
+ "T1w"
1446
+ ],
1447
+ "human_assessable": true,
1448
+ "split": "train",
1449
+ "tier": "public"
1450
+ },
1451
+ {
1452
+ "neuroqa_id": "WMH-00104",
1453
+ "subject_id": "Singapore_66",
1454
+ "dataset": "WMH",
1455
+ "image_required": true,
1456
+ "category": "Diagnosis",
1457
+ "image_dependency": "image-informed",
1458
+ "question_type": "MCQ",
1459
+ "question": "What is the most likely diagnosis?",
1460
+ "answer": "white matter hyperintensities",
1461
+ "options": [
1462
+ "white matter hyperintensities",
1463
+ "infarction",
1464
+ "gliosis",
1465
+ "normal aging changes"
1466
+ ],
1467
+ "image_path": "#",
1468
+ "answerable_modalities": [
1469
+ "T1w"
1470
+ ],
1471
+ "human_assessable": true,
1472
+ "split": "train",
1473
+ "tier": "public"
1474
+ },
1475
+ {
1476
+ "neuroqa_id": "WMH-00105",
1477
+ "subject_id": "Singapore_50",
1478
+ "dataset": "WMH",
1479
+ "image_required": true,
1480
+ "category": "Signal",
1481
+ "image_dependency": "image-grounded",
1482
+ "question_type": "YN",
1483
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
1484
+ "answer": "Yes",
1485
+ "options": null,
1486
+ "image_path": "#",
1487
+ "answerable_modalities": [
1488
+ "T1w"
1489
+ ],
1490
+ "human_assessable": true,
1491
+ "split": "train",
1492
+ "tier": "public"
1493
+ },
1494
+ {
1495
+ "neuroqa_id": "WMH-00106",
1496
+ "subject_id": "Utrecht_39",
1497
+ "dataset": "WMH",
1498
+ "image_required": true,
1499
+ "category": "Signal",
1500
+ "image_dependency": "image-grounded",
1501
+ "question_type": "MCQ",
1502
+ "question": "What is the T1 signal intensity of the white matter lesions?",
1503
+ "answer": "hypointense",
1504
+ "options": [
1505
+ "mixed",
1506
+ "hyperintense",
1507
+ "isointense",
1508
+ "hypointense"
1509
+ ],
1510
+ "image_path": "#",
1511
+ "answerable_modalities": [
1512
+ "T1w"
1513
+ ],
1514
+ "human_assessable": true,
1515
+ "split": "train",
1516
+ "tier": "public"
1517
+ },
1518
+ {
1519
+ "neuroqa_id": "WMH-00107",
1520
+ "subject_id": "GE3T_106",
1521
+ "dataset": "WMH",
1522
+ "image_required": true,
1523
+ "category": "Reasoning",
1524
+ "image_dependency": "image-informed",
1525
+ "question_type": "Open",
1526
+ "question": "What imaging features support the subject's likely diagnosis?",
1527
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
1528
+ "options": null,
1529
+ "image_path": "#",
1530
+ "answerable_modalities": [
1531
+ "T1w"
1532
+ ],
1533
+ "human_assessable": true,
1534
+ "split": "train",
1535
+ "tier": "public"
1536
+ },
1537
+ {
1538
+ "neuroqa_id": "WMH-00110",
1539
+ "subject_id": "Utrecht_11",
1540
+ "dataset": "WMH",
1541
+ "image_required": true,
1542
+ "category": "Reasoning",
1543
+ "image_dependency": "image-informed",
1544
+ "question_type": "Open",
1545
+ "question": "What imaging features support the subject's likely diagnosis?",
1546
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1, gliotic changes.",
1547
+ "options": null,
1548
+ "image_path": "#",
1549
+ "answerable_modalities": [
1550
+ "T1w"
1551
+ ],
1552
+ "human_assessable": true,
1553
+ "split": "train",
1554
+ "tier": "public"
1555
+ },
1556
+ {
1557
+ "neuroqa_id": "WMH-00112",
1558
+ "subject_id": "GE3T_104",
1559
+ "dataset": "WMH",
1560
+ "image_required": true,
1561
+ "category": "Reasoning",
1562
+ "image_dependency": "image-informed",
1563
+ "question_type": "Open",
1564
+ "question": "What imaging features support the subject's likely diagnosis?",
1565
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1, lacunar infarcts.",
1566
+ "options": null,
1567
+ "image_path": "#",
1568
+ "answerable_modalities": [
1569
+ "T1w"
1570
+ ],
1571
+ "human_assessable": true,
1572
+ "split": "train",
1573
+ "tier": "public"
1574
+ },
1575
+ {
1576
+ "neuroqa_id": "WMH-00113",
1577
+ "subject_id": "GE3T_103",
1578
+ "dataset": "WMH",
1579
+ "image_required": true,
1580
+ "category": "Reasoning",
1581
+ "image_dependency": "image-informed",
1582
+ "question_type": "Open",
1583
+ "question": "What imaging features support the subject's likely diagnosis?",
1584
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
1585
+ "options": null,
1586
+ "image_path": "#",
1587
+ "answerable_modalities": [
1588
+ "T1w"
1589
+ ],
1590
+ "human_assessable": true,
1591
+ "split": "train",
1592
+ "tier": "public"
1593
+ },
1594
+ {
1595
+ "neuroqa_id": "WMH-00114",
1596
+ "subject_id": "Utrecht_21",
1597
+ "dataset": "WMH",
1598
+ "image_required": true,
1599
+ "category": "Reasoning",
1600
+ "image_dependency": "image-informed",
1601
+ "question_type": "Open",
1602
+ "question": "What imaging features support the subject's likely diagnosis?",
1603
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
1604
+ "options": null,
1605
+ "image_path": "#",
1606
+ "answerable_modalities": [
1607
+ "T1w"
1608
+ ],
1609
+ "human_assessable": true,
1610
+ "split": "train",
1611
+ "tier": "public"
1612
+ },
1613
+ {
1614
+ "neuroqa_id": "WMH-00115",
1615
+ "subject_id": "GE3T_114",
1616
+ "dataset": "WMH",
1617
+ "image_required": true,
1618
+ "category": "Reasoning",
1619
+ "image_dependency": "image-informed",
1620
+ "question_type": "Open",
1621
+ "question": "What imaging features support the subject's likely diagnosis?",
1622
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
1623
+ "options": null,
1624
+ "image_path": "#",
1625
+ "answerable_modalities": [
1626
+ "T1w"
1627
+ ],
1628
+ "human_assessable": true,
1629
+ "split": "train",
1630
+ "tier": "public"
1631
+ },
1632
+ {
1633
+ "neuroqa_id": "WMH-00116",
1634
+ "subject_id": "Singapore_54",
1635
+ "dataset": "WMH",
1636
+ "image_required": true,
1637
+ "category": "Signal",
1638
+ "image_dependency": "image-grounded",
1639
+ "question_type": "MCQ",
1640
+ "question": "What is the T1 signal intensity of the white matter lesions?",
1641
+ "answer": "hypointense",
1642
+ "options": [
1643
+ "hypointense",
1644
+ "hyperintense",
1645
+ "mixed",
1646
+ "isointense"
1647
+ ],
1648
+ "image_path": "#",
1649
+ "answerable_modalities": [
1650
+ "T1w"
1651
+ ],
1652
+ "human_assessable": true,
1653
+ "split": "train",
1654
+ "tier": "public"
1655
+ },
1656
+ {
1657
+ "neuroqa_id": "WMH-00119",
1658
+ "subject_id": "Utrecht_21",
1659
+ "dataset": "WMH",
1660
+ "image_required": true,
1661
+ "category": "Diagnosis",
1662
+ "image_dependency": "image-informed",
1663
+ "question_type": "MCQ",
1664
+ "question": "What is the most likely diagnosis?",
1665
+ "answer": "white matter hyperintensities",
1666
+ "options": [
1667
+ "infarction",
1668
+ "gliosis",
1669
+ "normal aging changes",
1670
+ "white matter hyperintensities"
1671
+ ],
1672
+ "image_path": "#",
1673
+ "answerable_modalities": [
1674
+ "T1w"
1675
+ ],
1676
+ "human_assessable": true,
1677
+ "split": "train",
1678
+ "tier": "public"
1679
+ },
1680
+ {
1681
+ "neuroqa_id": "WMH-00122",
1682
+ "subject_id": "GE3T_110",
1683
+ "dataset": "WMH",
1684
+ "image_required": true,
1685
+ "category": "Reasoning",
1686
+ "image_dependency": "image-informed",
1687
+ "question_type": "Open",
1688
+ "question": "What imaging features support the subject's likely diagnosis?",
1689
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
1690
+ "options": null,
1691
+ "image_path": "#",
1692
+ "answerable_modalities": [
1693
+ "T1w"
1694
+ ],
1695
+ "human_assessable": true,
1696
+ "split": "train",
1697
+ "tier": "public"
1698
+ },
1699
+ {
1700
+ "neuroqa_id": "WMH-00123",
1701
+ "subject_id": "GE3T_112",
1702
+ "dataset": "WMH",
1703
+ "image_required": true,
1704
+ "category": "Signal",
1705
+ "image_dependency": "image-grounded",
1706
+ "question_type": "YN",
1707
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
1708
+ "answer": "No",
1709
+ "options": null,
1710
+ "image_path": "#",
1711
+ "answerable_modalities": [
1712
+ "T1w"
1713
+ ],
1714
+ "human_assessable": true,
1715
+ "split": "train",
1716
+ "tier": "public"
1717
+ },
1718
+ {
1719
+ "neuroqa_id": "WMH-00124",
1720
+ "subject_id": "Utrecht_25",
1721
+ "dataset": "WMH",
1722
+ "image_required": true,
1723
+ "category": "Reasoning",
1724
+ "image_dependency": "image-informed",
1725
+ "question_type": "Open",
1726
+ "question": "What imaging features support the subject's likely diagnosis?",
1727
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1, lacunar infarcts.",
1728
+ "options": null,
1729
+ "image_path": "#",
1730
+ "answerable_modalities": [
1731
+ "T1w"
1732
+ ],
1733
+ "human_assessable": true,
1734
+ "split": "train",
1735
+ "tier": "public"
1736
+ },
1737
+ {
1738
+ "neuroqa_id": "WMH-00125",
1739
+ "subject_id": "GE3T_108",
1740
+ "dataset": "WMH",
1741
+ "image_required": true,
1742
+ "category": "Signal",
1743
+ "image_dependency": "image-grounded",
1744
+ "question_type": "YN",
1745
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
1746
+ "answer": "Yes",
1747
+ "options": null,
1748
+ "image_path": "#",
1749
+ "answerable_modalities": [
1750
+ "T1w"
1751
+ ],
1752
+ "human_assessable": true,
1753
+ "split": "train",
1754
+ "tier": "public"
1755
+ },
1756
+ {
1757
+ "neuroqa_id": "WMH-00126",
1758
+ "subject_id": "GE3T_113",
1759
+ "dataset": "WMH",
1760
+ "image_required": true,
1761
+ "category": "Reasoning",
1762
+ "image_dependency": "image-informed",
1763
+ "question_type": "Open",
1764
+ "question": "What imaging features support the subject's likely diagnosis?",
1765
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1, lacunar infarcts.",
1766
+ "options": null,
1767
+ "image_path": "#",
1768
+ "answerable_modalities": [
1769
+ "T1w"
1770
+ ],
1771
+ "human_assessable": true,
1772
+ "split": "train",
1773
+ "tier": "public"
1774
+ },
1775
+ {
1776
+ "neuroqa_id": "WMH-00127",
1777
+ "subject_id": "Singapore_61",
1778
+ "dataset": "WMH",
1779
+ "image_required": true,
1780
+ "category": "Signal",
1781
+ "image_dependency": "image-grounded",
1782
+ "question_type": "YN",
1783
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
1784
+ "answer": "No",
1785
+ "options": null,
1786
+ "image_path": "#",
1787
+ "answerable_modalities": [
1788
+ "T1w"
1789
+ ],
1790
+ "human_assessable": true,
1791
+ "split": "train",
1792
+ "tier": "public"
1793
+ },
1794
+ {
1795
+ "neuroqa_id": "WMH-00129",
1796
+ "subject_id": "Utrecht_49",
1797
+ "dataset": "WMH",
1798
+ "image_required": true,
1799
+ "category": "Reasoning",
1800
+ "image_dependency": "image-informed",
1801
+ "question_type": "Open",
1802
+ "question": "What imaging features support the subject's likely diagnosis?",
1803
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1, lacunar infarcts.",
1804
+ "options": null,
1805
+ "image_path": "#",
1806
+ "answerable_modalities": [
1807
+ "T1w"
1808
+ ],
1809
+ "human_assessable": true,
1810
+ "split": "train",
1811
+ "tier": "public"
1812
+ },
1813
+ {
1814
+ "neuroqa_id": "WMH-00130",
1815
+ "subject_id": "Utrecht_0",
1816
+ "dataset": "WMH",
1817
+ "image_required": true,
1818
+ "category": "Reasoning",
1819
+ "image_dependency": "image-informed",
1820
+ "question_type": "Open",
1821
+ "question": "What imaging features support the subject's likely diagnosis?",
1822
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1, lacunar infarcts, gliotic changes.",
1823
+ "options": null,
1824
+ "image_path": "#",
1825
+ "answerable_modalities": [
1826
+ "T1w"
1827
+ ],
1828
+ "human_assessable": true,
1829
+ "split": "train",
1830
+ "tier": "public"
1831
+ },
1832
+ {
1833
+ "neuroqa_id": "WMH-00131",
1834
+ "subject_id": "Singapore_51",
1835
+ "dataset": "WMH",
1836
+ "image_required": true,
1837
+ "category": "Reasoning",
1838
+ "image_dependency": "image-informed",
1839
+ "question_type": "Open",
1840
+ "question": "What imaging features support the subject's likely diagnosis?",
1841
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
1842
+ "options": null,
1843
+ "image_path": "#",
1844
+ "answerable_modalities": [
1845
+ "T1w"
1846
+ ],
1847
+ "human_assessable": true,
1848
+ "split": "train",
1849
+ "tier": "public"
1850
+ },
1851
+ {
1852
+ "neuroqa_id": "WMH-00134",
1853
+ "subject_id": "Utrecht_41",
1854
+ "dataset": "WMH",
1855
+ "image_required": true,
1856
+ "category": "Diagnosis",
1857
+ "image_dependency": "image-informed",
1858
+ "question_type": "MCQ",
1859
+ "question": "What is the most likely diagnosis?",
1860
+ "answer": "infarction",
1861
+ "options": [
1862
+ "gliosis",
1863
+ "infarction",
1864
+ "white matter hyperintensities",
1865
+ "normal aging changes"
1866
+ ],
1867
+ "image_path": "#",
1868
+ "answerable_modalities": [
1869
+ "T1w"
1870
+ ],
1871
+ "human_assessable": true,
1872
+ "split": "train",
1873
+ "tier": "public"
1874
+ },
1875
+ {
1876
+ "neuroqa_id": "WMH-00136",
1877
+ "subject_id": "GE3T_101",
1878
+ "dataset": "WMH",
1879
+ "image_required": true,
1880
+ "category": "Signal",
1881
+ "image_dependency": "image-grounded",
1882
+ "question_type": "MCQ",
1883
+ "question": "What is the T1 signal intensity of the white matter lesions?",
1884
+ "answer": "isointense",
1885
+ "options": [
1886
+ "mixed",
1887
+ "isointense",
1888
+ "hyperintense",
1889
+ "hypointense"
1890
+ ],
1891
+ "image_path": "#",
1892
+ "answerable_modalities": [
1893
+ "T1w"
1894
+ ],
1895
+ "human_assessable": true,
1896
+ "split": "train",
1897
+ "tier": "public"
1898
+ },
1899
+ {
1900
+ "neuroqa_id": "WMH-00137",
1901
+ "subject_id": "Utrecht_2",
1902
+ "dataset": "WMH",
1903
+ "image_required": true,
1904
+ "category": "Signal",
1905
+ "image_dependency": "image-grounded",
1906
+ "question_type": "MCQ",
1907
+ "question": "What is the T1 signal intensity of the white matter lesions?",
1908
+ "answer": "hypointense",
1909
+ "options": [
1910
+ "hypointense",
1911
+ "isointense",
1912
+ "hyperintense",
1913
+ "mixed"
1914
+ ],
1915
+ "image_path": "#",
1916
+ "answerable_modalities": [
1917
+ "T1w"
1918
+ ],
1919
+ "human_assessable": true,
1920
+ "split": "train",
1921
+ "tier": "public"
1922
+ },
1923
+ {
1924
+ "neuroqa_id": "WMH-00139",
1925
+ "subject_id": "Utrecht_35",
1926
+ "dataset": "WMH",
1927
+ "image_required": true,
1928
+ "category": "Reasoning",
1929
+ "image_dependency": "image-informed",
1930
+ "question_type": "Open",
1931
+ "question": "What imaging features support the subject's likely diagnosis?",
1932
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
1933
+ "options": null,
1934
+ "image_path": "#",
1935
+ "answerable_modalities": [
1936
+ "T1w"
1937
+ ],
1938
+ "human_assessable": true,
1939
+ "split": "train",
1940
+ "tier": "public"
1941
+ },
1942
+ {
1943
+ "neuroqa_id": "WMH-00140",
1944
+ "subject_id": "Utrecht_39",
1945
+ "dataset": "WMH",
1946
+ "image_required": true,
1947
+ "category": "Diagnosis",
1948
+ "image_dependency": "image-informed",
1949
+ "question_type": "MCQ",
1950
+ "question": "What is the most likely diagnosis?",
1951
+ "answer": "white matter hyperintensities",
1952
+ "options": [
1953
+ "gliosis",
1954
+ "normal aging changes",
1955
+ "white matter hyperintensities",
1956
+ "infarction"
1957
+ ],
1958
+ "image_path": "#",
1959
+ "answerable_modalities": [
1960
+ "T1w"
1961
+ ],
1962
+ "human_assessable": true,
1963
+ "split": "train",
1964
+ "tier": "public"
1965
+ },
1966
+ {
1967
+ "neuroqa_id": "WMH-00141",
1968
+ "subject_id": "GE3T_110",
1969
+ "dataset": "WMH",
1970
+ "image_required": true,
1971
+ "category": "Diagnosis",
1972
+ "image_dependency": "image-informed",
1973
+ "question_type": "MCQ",
1974
+ "question": "What is the most likely diagnosis?",
1975
+ "answer": "white matter hyperintensities",
1976
+ "options": [
1977
+ "normal aging changes",
1978
+ "white matter hyperintensities",
1979
+ "infarction",
1980
+ "gliosis"
1981
+ ],
1982
+ "image_path": "#",
1983
+ "answerable_modalities": [
1984
+ "T1w"
1985
+ ],
1986
+ "human_assessable": true,
1987
+ "split": "train",
1988
+ "tier": "public"
1989
+ },
1990
+ {
1991
+ "neuroqa_id": "WMH-00143",
1992
+ "subject_id": "GE3T_112",
1993
+ "dataset": "WMH",
1994
+ "image_required": true,
1995
+ "category": "Reasoning",
1996
+ "image_dependency": "image-informed",
1997
+ "question_type": "Open",
1998
+ "question": "What imaging features support the subject's likely diagnosis?",
1999
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
2000
+ "options": null,
2001
+ "image_path": "#",
2002
+ "answerable_modalities": [
2003
+ "T1w"
2004
+ ],
2005
+ "human_assessable": true,
2006
+ "split": "train",
2007
+ "tier": "public"
2008
+ },
2009
+ {
2010
+ "neuroqa_id": "WMH-00145",
2011
+ "subject_id": "GE3T_100",
2012
+ "dataset": "WMH",
2013
+ "image_required": true,
2014
+ "category": "Signal",
2015
+ "image_dependency": "image-grounded",
2016
+ "question_type": "MCQ",
2017
+ "question": "What is the T1 signal intensity of the white matter lesions?",
2018
+ "answer": "isointense",
2019
+ "options": [
2020
+ "hyperintense",
2021
+ "hypointense",
2022
+ "mixed",
2023
+ "isointense"
2024
+ ],
2025
+ "image_path": "#",
2026
+ "answerable_modalities": [
2027
+ "T1w"
2028
+ ],
2029
+ "human_assessable": true,
2030
+ "split": "train",
2031
+ "tier": "public"
2032
+ },
2033
+ {
2034
+ "neuroqa_id": "WMH-00146",
2035
+ "subject_id": "GE3T_137",
2036
+ "dataset": "WMH",
2037
+ "image_required": true,
2038
+ "category": "Reasoning",
2039
+ "image_dependency": "image-informed",
2040
+ "question_type": "Open",
2041
+ "question": "What imaging features support the subject's likely diagnosis?",
2042
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
2043
+ "options": null,
2044
+ "image_path": "#",
2045
+ "answerable_modalities": [
2046
+ "T1w"
2047
+ ],
2048
+ "human_assessable": true,
2049
+ "split": "train",
2050
+ "tier": "public"
2051
+ },
2052
+ {
2053
+ "neuroqa_id": "WMH-00148",
2054
+ "subject_id": "Utrecht_19",
2055
+ "dataset": "WMH",
2056
+ "image_required": true,
2057
+ "category": "Reasoning",
2058
+ "image_dependency": "image-informed",
2059
+ "question_type": "Open",
2060
+ "question": "What imaging features support the subject's likely diagnosis?",
2061
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1, lacunar infarcts.",
2062
+ "options": null,
2063
+ "image_path": "#",
2064
+ "answerable_modalities": [
2065
+ "T1w"
2066
+ ],
2067
+ "human_assessable": true,
2068
+ "split": "train",
2069
+ "tier": "public"
2070
+ },
2071
+ {
2072
+ "neuroqa_id": "WMH-00150",
2073
+ "subject_id": "Utrecht_37",
2074
+ "dataset": "WMH",
2075
+ "image_required": true,
2076
+ "category": "Signal",
2077
+ "image_dependency": "image-grounded",
2078
+ "question_type": "YN",
2079
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
2080
+ "answer": "No",
2081
+ "options": null,
2082
+ "image_path": "#",
2083
+ "answerable_modalities": [
2084
+ "T1w"
2085
+ ],
2086
+ "human_assessable": true,
2087
+ "split": "train",
2088
+ "tier": "public"
2089
+ },
2090
+ {
2091
+ "neuroqa_id": "WMH-00151",
2092
+ "subject_id": "Utrecht_21",
2093
+ "dataset": "WMH",
2094
+ "image_required": true,
2095
+ "category": "Signal",
2096
+ "image_dependency": "image-grounded",
2097
+ "question_type": "MCQ",
2098
+ "question": "What is the T1 signal intensity of the white matter lesions?",
2099
+ "answer": "hypointense",
2100
+ "options": [
2101
+ "isointense",
2102
+ "mixed",
2103
+ "hypointense",
2104
+ "hyperintense"
2105
+ ],
2106
+ "image_path": "#",
2107
+ "answerable_modalities": [
2108
+ "T1w"
2109
+ ],
2110
+ "human_assessable": true,
2111
+ "split": "train",
2112
+ "tier": "public"
2113
+ },
2114
+ {
2115
+ "neuroqa_id": "WMH-00152",
2116
+ "subject_id": "GE3T_132",
2117
+ "dataset": "WMH",
2118
+ "image_required": true,
2119
+ "category": "Reasoning",
2120
+ "image_dependency": "image-informed",
2121
+ "question_type": "Open",
2122
+ "question": "What imaging features support the subject's likely diagnosis?",
2123
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
2124
+ "options": null,
2125
+ "image_path": "#",
2126
+ "answerable_modalities": [
2127
+ "T1w"
2128
+ ],
2129
+ "human_assessable": true,
2130
+ "split": "train",
2131
+ "tier": "public"
2132
+ },
2133
+ {
2134
+ "neuroqa_id": "WMH-00153",
2135
+ "subject_id": "GE3T_132",
2136
+ "dataset": "WMH",
2137
+ "image_required": true,
2138
+ "category": "Signal",
2139
+ "image_dependency": "image-grounded",
2140
+ "question_type": "YN",
2141
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
2142
+ "answer": "No",
2143
+ "options": null,
2144
+ "image_path": "#",
2145
+ "answerable_modalities": [
2146
+ "T1w"
2147
+ ],
2148
+ "human_assessable": true,
2149
+ "split": "train",
2150
+ "tier": "public"
2151
+ },
2152
+ {
2153
+ "neuroqa_id": "WMH-00154",
2154
+ "subject_id": "Utrecht_31",
2155
+ "dataset": "WMH",
2156
+ "image_required": true,
2157
+ "category": "Signal",
2158
+ "image_dependency": "image-grounded",
2159
+ "question_type": "MCQ",
2160
+ "question": "What is the T1 signal intensity of the white matter lesions?",
2161
+ "answer": "hypointense",
2162
+ "options": [
2163
+ "hyperintense",
2164
+ "isointense",
2165
+ "mixed",
2166
+ "hypointense"
2167
+ ],
2168
+ "image_path": "#",
2169
+ "answerable_modalities": [
2170
+ "T1w"
2171
+ ],
2172
+ "human_assessable": true,
2173
+ "split": "train",
2174
+ "tier": "public"
2175
+ },
2176
+ {
2177
+ "neuroqa_id": "WMH-00155",
2178
+ "subject_id": "Utrecht_35",
2179
+ "dataset": "WMH",
2180
+ "image_required": true,
2181
+ "category": "Signal",
2182
+ "image_dependency": "image-grounded",
2183
+ "question_type": "MCQ",
2184
+ "question": "What is the T1 signal intensity of the white matter lesions?",
2185
+ "answer": "isointense",
2186
+ "options": [
2187
+ "hyperintense",
2188
+ "hypointense",
2189
+ "mixed",
2190
+ "isointense"
2191
+ ],
2192
+ "image_path": "#",
2193
+ "answerable_modalities": [
2194
+ "T1w"
2195
+ ],
2196
+ "human_assessable": true,
2197
+ "split": "train",
2198
+ "tier": "public"
2199
+ },
2200
+ {
2201
+ "neuroqa_id": "WMH-00157",
2202
+ "subject_id": "Utrecht_19",
2203
+ "dataset": "WMH",
2204
+ "image_required": true,
2205
+ "category": "Diagnosis",
2206
+ "image_dependency": "image-informed",
2207
+ "question_type": "MCQ",
2208
+ "question": "What is the most likely diagnosis?",
2209
+ "answer": "infarction",
2210
+ "options": [
2211
+ "white matter hyperintensities",
2212
+ "infarction",
2213
+ "gliosis",
2214
+ "normal aging changes"
2215
+ ],
2216
+ "image_path": "#",
2217
+ "answerable_modalities": [
2218
+ "T1w"
2219
+ ],
2220
+ "human_assessable": true,
2221
+ "split": "train",
2222
+ "tier": "public"
2223
+ },
2224
+ {
2225
+ "neuroqa_id": "WMH-00158",
2226
+ "subject_id": "Singapore_66",
2227
+ "dataset": "WMH",
2228
+ "image_required": true,
2229
+ "category": "Signal",
2230
+ "image_dependency": "image-grounded",
2231
+ "question_type": "YN",
2232
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
2233
+ "answer": "Yes",
2234
+ "options": null,
2235
+ "image_path": "#",
2236
+ "answerable_modalities": [
2237
+ "T1w"
2238
+ ],
2239
+ "human_assessable": true,
2240
+ "split": "train",
2241
+ "tier": "public"
2242
+ },
2243
+ {
2244
+ "neuroqa_id": "WMH-00159",
2245
+ "subject_id": "Utrecht_49",
2246
+ "dataset": "WMH",
2247
+ "image_required": true,
2248
+ "category": "Diagnosis",
2249
+ "image_dependency": "image-informed",
2250
+ "question_type": "MCQ",
2251
+ "question": "What is the most likely diagnosis?",
2252
+ "answer": "white matter hyperintensities",
2253
+ "options": [
2254
+ "normal aging changes",
2255
+ "gliosis",
2256
+ "white matter hyperintensities",
2257
+ "infarction"
2258
+ ],
2259
+ "image_path": "#",
2260
+ "answerable_modalities": [
2261
+ "T1w"
2262
+ ],
2263
+ "human_assessable": true,
2264
+ "split": "train",
2265
+ "tier": "public"
2266
+ },
2267
+ {
2268
+ "neuroqa_id": "WMH-00161",
2269
+ "subject_id": "GE3T_115",
2270
+ "dataset": "WMH",
2271
+ "image_required": true,
2272
+ "category": "Reasoning",
2273
+ "image_dependency": "image-informed",
2274
+ "question_type": "Open",
2275
+ "question": "What imaging features support the subject's likely diagnosis?",
2276
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
2277
+ "options": null,
2278
+ "image_path": "#",
2279
+ "answerable_modalities": [
2280
+ "T1w"
2281
+ ],
2282
+ "human_assessable": true,
2283
+ "split": "train",
2284
+ "tier": "public"
2285
+ },
2286
+ {
2287
+ "neuroqa_id": "WMH-00163",
2288
+ "subject_id": "Utrecht_17",
2289
+ "dataset": "WMH",
2290
+ "image_required": true,
2291
+ "category": "Reasoning",
2292
+ "image_dependency": "image-informed",
2293
+ "question_type": "Open",
2294
+ "question": "What imaging features support the subject's likely diagnosis?",
2295
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1, gliotic changes.",
2296
+ "options": null,
2297
+ "image_path": "#",
2298
+ "answerable_modalities": [
2299
+ "T1w"
2300
+ ],
2301
+ "human_assessable": true,
2302
+ "split": "train",
2303
+ "tier": "public"
2304
+ },
2305
+ {
2306
+ "neuroqa_id": "WMH-00164",
2307
+ "subject_id": "GE3T_104",
2308
+ "dataset": "WMH",
2309
+ "image_required": true,
2310
+ "category": "Signal",
2311
+ "image_dependency": "image-grounded",
2312
+ "question_type": "MCQ",
2313
+ "question": "What is the T1 signal intensity of the white matter lesions?",
2314
+ "answer": "isointense",
2315
+ "options": [
2316
+ "isointense",
2317
+ "mixed",
2318
+ "hypointense",
2319
+ "hyperintense"
2320
+ ],
2321
+ "image_path": "#",
2322
+ "answerable_modalities": [
2323
+ "T1w"
2324
+ ],
2325
+ "human_assessable": true,
2326
+ "split": "train",
2327
+ "tier": "public"
2328
+ },
2329
+ {
2330
+ "neuroqa_id": "WMH-00165",
2331
+ "subject_id": "Utrecht_0",
2332
+ "dataset": "WMH",
2333
+ "image_required": true,
2334
+ "category": "Diagnosis",
2335
+ "image_dependency": "image-informed",
2336
+ "question_type": "MCQ",
2337
+ "question": "What is the most likely diagnosis?",
2338
+ "answer": "infarction",
2339
+ "options": [
2340
+ "infarction",
2341
+ "normal aging changes",
2342
+ "gliosis",
2343
+ "white matter hyperintensities"
2344
+ ],
2345
+ "image_path": "#",
2346
+ "answerable_modalities": [
2347
+ "T1w"
2348
+ ],
2349
+ "human_assessable": true,
2350
+ "split": "train",
2351
+ "tier": "public"
2352
+ },
2353
+ {
2354
+ "neuroqa_id": "WMH-00166",
2355
+ "subject_id": "Utrecht_39",
2356
+ "dataset": "WMH",
2357
+ "image_required": true,
2358
+ "category": "Reasoning",
2359
+ "image_dependency": "image-informed",
2360
+ "question_type": "Open",
2361
+ "question": "What imaging features support the subject's likely diagnosis?",
2362
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
2363
+ "options": null,
2364
+ "image_path": "#",
2365
+ "answerable_modalities": [
2366
+ "T1w"
2367
+ ],
2368
+ "human_assessable": true,
2369
+ "split": "train",
2370
+ "tier": "public"
2371
+ },
2372
+ {
2373
+ "neuroqa_id": "WMH-00167",
2374
+ "subject_id": "GE3T_106",
2375
+ "dataset": "WMH",
2376
+ "image_required": true,
2377
+ "category": "Signal",
2378
+ "image_dependency": "image-grounded",
2379
+ "question_type": "YN",
2380
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
2381
+ "answer": "No",
2382
+ "options": null,
2383
+ "image_path": "#",
2384
+ "answerable_modalities": [
2385
+ "T1w"
2386
+ ],
2387
+ "human_assessable": true,
2388
+ "split": "train",
2389
+ "tier": "public"
2390
+ },
2391
+ {
2392
+ "neuroqa_id": "WMH-00168",
2393
+ "subject_id": "GE3T_137",
2394
+ "dataset": "WMH",
2395
+ "image_required": true,
2396
+ "category": "Signal",
2397
+ "image_dependency": "image-grounded",
2398
+ "question_type": "MCQ",
2399
+ "question": "What is the T1 signal intensity of the white matter lesions?",
2400
+ "answer": "hypointense",
2401
+ "options": [
2402
+ "hypointense",
2403
+ "hyperintense",
2404
+ "isointense",
2405
+ "mixed"
2406
+ ],
2407
+ "image_path": "#",
2408
+ "answerable_modalities": [
2409
+ "T1w"
2410
+ ],
2411
+ "human_assessable": true,
2412
+ "split": "train",
2413
+ "tier": "public"
2414
+ },
2415
+ {
2416
+ "neuroqa_id": "WMH-00170",
2417
+ "subject_id": "Singapore_53",
2418
+ "dataset": "WMH",
2419
+ "image_required": true,
2420
+ "category": "Diagnosis",
2421
+ "image_dependency": "image-informed",
2422
+ "question_type": "MCQ",
2423
+ "question": "What is the most likely diagnosis?",
2424
+ "answer": "white matter hyperintensities",
2425
+ "options": [
2426
+ "normal aging changes",
2427
+ "gliosis",
2428
+ "white matter hyperintensities",
2429
+ "infarction"
2430
+ ],
2431
+ "image_path": "#",
2432
+ "answerable_modalities": [
2433
+ "T1w"
2434
+ ],
2435
+ "human_assessable": true,
2436
+ "split": "train",
2437
+ "tier": "public"
2438
+ },
2439
+ {
2440
+ "neuroqa_id": "WMH-00173",
2441
+ "subject_id": "Singapore_67",
2442
+ "dataset": "WMH",
2443
+ "image_required": true,
2444
+ "category": "Signal",
2445
+ "image_dependency": "image-grounded",
2446
+ "question_type": "YN",
2447
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
2448
+ "answer": "Yes",
2449
+ "options": null,
2450
+ "image_path": "#",
2451
+ "answerable_modalities": [
2452
+ "T1w"
2453
+ ],
2454
+ "human_assessable": true,
2455
+ "split": "train",
2456
+ "tier": "public"
2457
+ },
2458
+ {
2459
+ "neuroqa_id": "WMH-00175",
2460
+ "subject_id": "Singapore_54",
2461
+ "dataset": "WMH",
2462
+ "image_required": true,
2463
+ "category": "Reasoning",
2464
+ "image_dependency": "image-informed",
2465
+ "question_type": "Open",
2466
+ "question": "What imaging features support the subject's likely diagnosis?",
2467
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1, lacunar infarcts.",
2468
+ "options": null,
2469
+ "image_path": "#",
2470
+ "answerable_modalities": [
2471
+ "T1w"
2472
+ ],
2473
+ "human_assessable": true,
2474
+ "split": "train",
2475
+ "tier": "public"
2476
+ },
2477
+ {
2478
+ "neuroqa_id": "WMH-00176",
2479
+ "subject_id": "GE3T_114",
2480
+ "dataset": "WMH",
2481
+ "image_required": true,
2482
+ "category": "Signal",
2483
+ "image_dependency": "image-grounded",
2484
+ "question_type": "MCQ",
2485
+ "question": "What is the T1 signal intensity of the white matter lesions?",
2486
+ "answer": "hypointense",
2487
+ "options": [
2488
+ "hypointense",
2489
+ "mixed",
2490
+ "isointense",
2491
+ "hyperintense"
2492
+ ],
2493
+ "image_path": "#",
2494
+ "answerable_modalities": [
2495
+ "T1w"
2496
+ ],
2497
+ "human_assessable": true,
2498
+ "split": "train",
2499
+ "tier": "public"
2500
+ },
2501
+ {
2502
+ "neuroqa_id": "WMH-00177",
2503
+ "subject_id": "Utrecht_31",
2504
+ "dataset": "WMH",
2505
+ "image_required": true,
2506
+ "category": "Reasoning",
2507
+ "image_dependency": "image-informed",
2508
+ "question_type": "Open",
2509
+ "question": "What imaging features support the subject's likely diagnosis?",
2510
+ "answer": "Key imaging features include: periventricular distribution, signal characteristics on T1.",
2511
+ "options": null,
2512
+ "image_path": "#",
2513
+ "answerable_modalities": [
2514
+ "T1w"
2515
+ ],
2516
+ "human_assessable": true,
2517
+ "split": "train",
2518
+ "tier": "public"
2519
+ },
2520
+ {
2521
+ "neuroqa_id": "WMH-00180",
2522
+ "subject_id": "Utrecht_31",
2523
+ "dataset": "WMH",
2524
+ "image_required": true,
2525
+ "category": "Diagnosis",
2526
+ "image_dependency": "image-informed",
2527
+ "question_type": "MCQ",
2528
+ "question": "What is the most likely diagnosis?",
2529
+ "answer": "white matter hyperintensities",
2530
+ "options": [
2531
+ "normal aging changes",
2532
+ "white matter hyperintensities",
2533
+ "infarction",
2534
+ "gliosis"
2535
+ ],
2536
+ "image_path": "#",
2537
+ "answerable_modalities": [
2538
+ "T1w"
2539
+ ],
2540
+ "human_assessable": true,
2541
+ "split": "train",
2542
+ "tier": "public"
2543
+ },
2544
+ {
2545
+ "neuroqa_id": "WMH-00181",
2546
+ "subject_id": "Utrecht_39",
2547
+ "dataset": "WMH",
2548
+ "image_required": true,
2549
+ "category": "Signal",
2550
+ "image_dependency": "image-grounded",
2551
+ "question_type": "YN",
2552
+ "question": "Do the white matter lesions appear hypointense on the T1-weighted imaging scan?",
2553
+ "answer": "Yes",
2554
+ "options": null,
2555
+ "image_path": "#",
2556
+ "answerable_modalities": [
2557
+ "T1w"
2558
+ ],
2559
+ "human_assessable": true,
2560
+ "split": "train",
2561
+ "tier": "public"
2562
+ },
2563
+ {
2564
+ "neuroqa_id": "WMH-00182",
2565
+ "subject_id": "Utrecht_37",
2566
+ "dataset": "WMH",
2567
+ "image_required": true,
2568
+ "category": "Signal",
2569
+ "image_dependency": "image-grounded",
2570
+ "question_type": "MCQ",
2571
+ "question": "What is the T1 signal intensity of the white matter lesions?",
2572
+ "answer": "isointense",
2573
+ "options": [
2574
+ "hypointense",
2575
+ "isointense",
2576
+ "hyperintense",
2577
+ "mixed"
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