nsd_image_id int64 0 73k | coco_image_id int64 9 582k | question_id int64 0 1.56M | answer_id int64 0 1.56M | question stringlengths 20 63 | answers listlengths 1 5 | category stringclasses 32
values |
|---|---|---|---|---|---|---|
0 | 532,481 | 0 | 0 | Is this scene indoor or outdoor? | [
"outdoor"
] | scene |
0 | 532,481 | 1 | 1 | Where is this scene located? | [
"ocean"
] | location |
0 | 532,481 | 2 | 2 | What is the person doing? | [
"kitesurfing"
] | action |
0 | 532,481 | 3 | 3 | Is person in the image? | [
"yes"
] | person yes/no |
0 | 532,481 | 4 | 4 | Is ocean in the image? | [
"yes"
] | natural yes/no |
0 | 532,481 | 5 | 5 | Is the person in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 6 | 6 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 7 | 7 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 8 | 8 | What are the person's hands doing? | [
"in action"
] | pose |
0 | 532,481 | 9 | 9 | What is the pose of the person's legs? | [
"bent"
] | pose |
0 | 532,481 | 10 | 10 | How many person are in this image? | [
"1"
] | counting |
0 | 532,481 | 11 | 11 | How many ocean are in this image? | [
"1"
] | counting |
0 | 532,481 | 12 | 12 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 13 | 13 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 14 | 14 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 15 | 15 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 16 | 16 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 17 | 17 | Is suitcase in the image? | [
"no"
] | household yes/no |
0 | 532,481 | 18 | 18 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 19 | 19 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 20 | 20 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 21 | 21 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 22 | 22 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 23 | 23 | Is teddy bear in the image? | [
"no"
] | animal yes/no |
0 | 532,481 | 24 | 24 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 25 | 25 | Is grass in the image? | [
"no"
] | plant yes/no |
0 | 532,481 | 26 | 26 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 27 | 27 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 28 | 28 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 29 | 29 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 30 | 30 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 31 | 31 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 32 | 32 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 33 | 33 | Is the ocean in the foreground or the background? | [
"foreground"
] | position |
0 | 532,481 | 34 | 34 | Is backpack in the image? | [
"no"
] | other yes/no |
1 | 245,764 | 35 | 35 | Is this scene indoor or outdoor? | [
"indoor"
] | scene |
1 | 245,764 | 36 | 36 | Where is this scene located? | [
"bathroom"
] | location |
1 | 245,764 | 37 | 37 | Which animal is in the image? | [
"cat"
] | animal |
1 | 245,764 | 38 | 38 | Is cat in the image? | [
"yes"
] | animal yes/no |
1 | 245,764 | 39 | 39 | Is toilet in the image? | [
"yes"
] | household yes/no |
1 | 245,764 | 40 | 40 | Is shower curtain in the image? | [
"yes"
] | household yes/no |
1 | 245,764 | 41 | 41 | Is towel in the image? | [
"yes"
] | household yes/no |
1 | 245,764 | 42 | 42 | Is the cat in the foreground or the background? | [
"foreground"
] | position |
1 | 245,764 | 43 | 43 | Is the toilet in the foreground or the background? | [
"foreground"
] | position |
1 | 245,764 | 44 | 44 | Is the shower curtain in the foreground or the background? | [
"background"
] | position |
1 | 245,764 | 45 | 45 | Is the towel in the foreground or the background? | [
"foreground"
] | position |
1 | 245,764 | 46 | 46 | What color is the cat? | [
"black"
] | color |
1 | 245,764 | 47 | 47 | What color is the shower curtain? | [
"white"
] | color |
1 | 245,764 | 48 | 48 | What color is the towel? | [
"yellow"
] | color |
1 | 245,764 | 49 | 49 | How many cat are in this image? | [
"1"
] | counting |
1 | 245,764 | 50 | 50 | How many toilet are in this image? | [
"1"
] | counting |
1 | 245,764 | 51 | 51 | How many shower curtain are in this image? | [
"1"
] | counting |
1 | 245,764 | 52 | 52 | How many towel are in this image? | [
"1"
] | counting |
1 | 245,764 | 53 | 53 | Is flag in the image? | [
"no"
] | other yes/no |
1 | 245,764 | 54 | 54 | How many bowl are in this image? | [
"0"
] | counting |
1 | 245,764 | 55 | 55 | Is person in the image? | [
"no"
] | person yes/no |
1 | 245,764 | 56 | 56 | Is kite in the image? | [
"no"
] | sport yes/no |
1 | 245,764 | 57 | 57 | How many flower arrangement are in this image? | [
"0"
] | counting |
1 | 245,764 | 58 | 58 | How many bus are in this image? | [
"0"
] | counting |
2 | 385,029 | 59 | 59 | Is this scene indoor or outdoor? | [
"indoor"
] | scene |
2 | 385,029 | 60 | 60 | Where is this scene located? | [
"kitchen"
] | location |
2 | 385,029 | 61 | 61 | What is the person doing? | [
"cutting"
] | action |
2 | 385,029 | 62 | 62 | Which food is in the image? | [
"pizza"
] | food |
2 | 385,029 | 63 | 63 | What is the person holding? | [
"pizza"
] | holding |
2 | 385,029 | 64 | 64 | Is person in the image? | [
"yes"
] | person yes/no |
2 | 385,029 | 65 | 65 | Is pizza in the image? | [
"yes"
] | food yes/no |
2 | 385,029 | 66 | 66 | Is bottle in the image? | [
"yes"
] | household yes/no |
2 | 385,029 | 67 | 67 | Is cutting board in the image? | [
"yes"
] | household yes/no |
2 | 385,029 | 68 | 68 | Is the person in the foreground or the background? | [
"foreground"
] | position |
2 | 385,029 | 69 | 69 | Is the pizza in the foreground or the background? | [
"foreground"
] | position |
2 | 385,029 | 70 | 70 | Is the bottle in the foreground or the background? | [
"background"
] | position |
2 | 385,029 | 71 | 71 | Is the cutting board in the foreground or the background? | [
"foreground"
] | position |
2 | 385,029 | 72 | 72 | What color is the pizza? | [
"white"
] | color |
2 | 385,029 | 73 | 73 | What color is the bottle? | [
"green"
] | color |
2 | 385,029 | 74 | 74 | What are the person's hands doing? | [
"holding"
] | pose |
2 | 385,029 | 75 | 75 | What is the pose of the person's legs? | [
"straight"
] | pose |
2 | 385,029 | 76 | 76 | How many person are in this image? | [
"1"
] | counting |
2 | 385,029 | 77 | 77 | How many pizza are in this image? | [
"1"
] | counting |
2 | 385,029 | 78 | 78 | How many bottle are in this image? | [
"2"
] | counting |
2 | 385,029 | 79 | 79 | How many cutting board are in this image? | [
"1"
] | counting |
2 | 385,029 | 80 | 80 | Is the bottle in the foreground or the background? | [
"background"
] | position |
2 | 385,029 | 81 | 81 | Is the bottle in the foreground or the background? | [
"background"
] | position |
2 | 385,029 | 82 | 82 | How many flower are in this image? | [
"0"
] | counting |
2 | 385,029 | 83 | 83 | Is fence in the image? | [
"no"
] | other yes/no |
3 | 311,303 | 84 | 84 | How many bed are in this image? | [
"0"
] | counting |
3 | 311,303 | 85 | 85 | Is this scene indoor or outdoor? | [
"indoor"
] | scene |
3 | 311,303 | 86 | 86 | Where is this scene located? | [
"restaurant"
] | location |
3 | 311,303 | 87 | 87 | Which food is in the image? | [
"sandwich"
] | food |
3 | 311,303 | 88 | 88 | Is cup in the image? | [
"yes"
] | household yes/no |
3 | 311,303 | 89 | 89 | Is plate in the image? | [
"yes"
] | household yes/no |
3 | 311,303 | 90 | 90 | Is sandwich in the image? | [
"yes"
] | food yes/no |
3 | 311,303 | 91 | 91 | Is table in the image? | [
"yes"
] | household yes/no |
3 | 311,303 | 92 | 92 | Is the cup in the foreground or the background? | [
"foreground"
] | position |
3 | 311,303 | 93 | 93 | Is the plate in the foreground or the background? | [
"foreground"
] | position |
3 | 311,303 | 94 | 94 | Is the sandwich in the foreground or the background? | [
"foreground"
] | position |
3 | 311,303 | 95 | 95 | Is the table in the foreground or the background? | [
"foreground"
] | position |
3 | 311,303 | 96 | 96 | What color is the cup? | [
"blue"
] | color |
3 | 311,303 | 97 | 97 | What color is the table? | [
"brown"
] | color |
3 | 311,303 | 98 | 98 | How many cup are in this image? | [
"1"
] | counting |
3 | 311,303 | 99 | 99 | How many plate are in this image? | [
"1"
] | counting |
End of preview. Expand in Data Studio
NSD-VQA
NSD-VQA is a large-scale visual question answering benchmark for studying what visual and semantic information can be decoded from human fMRI responses to natural images.
It is introduced in Brain-IT-VQA: From Brain Signals to Answers.
🔗 Project page: https://mcosarinsky.github.io/brain-it-vqa/
Overview
NSD-VQA is built from the Natural Scenes Dataset (NSD) and provides automatically generated question-answer annotations grounded in NSD images.
The dataset contains approximately:
- 73K NSD images
- ~20 question-answer pairs per image
- 20 controlled semantic question categories
The benchmark is designed for fine-grained evaluation of visual and semantic decoding from brain activity, beyond a single aggregate VQA score.
Question categories include:
- object recognition
- counting
- color
- actions
- spatial position
- scene understanding
- human-object interactions
- semantic categories such as animals, vehicles, food, appliances, and household objects
This repository contains only generated annotations and metadata.
It does not redistribute NSD images or fMRI recordings.
Users must obtain the original NSD dataset separately under its original terms.
Dataset Variants
This repository includes two variants:
| File | Description |
|---|---|
nsd_vqa.parquet |
Short-answer NSD-VQA annotations |
nsd_vqa_fs.parquet |
Full-sentence answer variant, NSD-VQA-FS |
Both files use the same schema and contain one row per question-answer pair.
Dataset Structure
Each parquet file contains the following columns:
| Column | Description |
|---|---|
nsd_image_id |
NSD image identifier |
coco_image_id |
Corresponding COCO image identifier |
question_id |
Unique question identifier |
answer_id |
Unique answer identifier |
question |
Natural language question |
answers |
Ground-truth answer |
category |
Controlled semantic question category |
Citation
If you use this dataset, please cite:
@article{beliy2026brainitvqa,
title={Brain-IT-VQA: From Brain Signals to Answers},
author={Beliy, Roman and others},
year={2026}
}
- Downloads last month
- 51