Datasets:
File size: 6,250 Bytes
fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 fcce891 d3fa682 3d81ad8 d3fa682 fcce891 d3fa682 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 | ---
license: cc-by-4.0
language:
- en
pretty_name: Puzzle Perception (Segmentation + pVQA)
size_categories:
- 10K<n<100K
task_categories:
- image-segmentation
- visual-question-answering
tags:
- puzzle-perception
- segmentation
- pvqa
- chess
- maze
- tower-of-hanoi
- nqueens
- synthetic
configs:
- config_name: default
data_files:
- split: train
path: data/train-*.parquet
- split: val
path: data/val-*.parquet
- split: test
path: data/test-*.parquet
---
# Puzzle Perception — Segmentation + pVQA
A single table over two tasks on synthetic puzzle images:
- **Segmentation** — per-pixel masks over chess, maze and tower-of-hanoi under one
unified 30-class label space.
- **pVQA** — multiple-choice perception probes over chess and N-Queens boards.
Every row carries the same 11 columns; the `type` column says which task it
belongs to, and columns that do not apply are `null`.
```python
from datasets import load_dataset
ds = load_dataset("PuzzleBench/Puzzle_Perception", split="test")
pvqa = ds.filter(lambda r: r["type"] == "pvqa")
seg = ds.filter(lambda r: r["type"] == "segmentation")
row = seg[0]
row["image"] # PIL.Image, 512x512 RGB
row["segmentation_labels"] # e.g. ['black_square', 'white_queen', ...]
```
## Columns
| Column | Type | Segmentation rows | pVQA rows |
|---|---|---|---|
| `id` | `int64` | unique, contiguous from 0 | unique, contiguous from 0 |
| `image` | `Image` | 512×512 RGB | 512×512 RGB |
| `mask` | `string` | path to a mask PNG in this repo | `null` |
| `puzzle` | `string` | `chess` / `maze` / `hanoi` | `chess` / `nqueens` |
| `image_path` | `string` | source-tree path (provenance) | source-tree path (provenance) |
| `type` | `string` | `segmentation` | `pvqa` |
| `segmentation_labels` | `list<string>` | class names present in the mask | `null` |
| `question` | `string` | `null` | probe question text |
| `answer` | `string` | `null` | correct option, as text |
| `question_id` | `string` | `null` | `q1`…`q8`, joins `pvqa_questions.yaml` |
| `options` | `list<string>` | `null` | the full answer space |
`image` is embedded in the Parquet as PNG bytes, so it renders in the viewer and
`load_dataset` hands back a `PIL.Image`. `mask` is instead a **path** to a real
file shipped under `masks/`, which keeps label maps — whose pixel values are
`0..29` and therefore look almost black — out of the preview:
```python
from huggingface_hub import hf_hub_download
import numpy as np
from PIL import Image
p = hf_hub_download("PuzzleBench/Puzzle_Perception", row["mask"], repo_type="dataset")
mask = np.array(Image.open(p)) # (512, 512) uint8, values in [0, 29]
```
## Splits
| Split | Total | Segmentation | pVQA | Per-puzzle |
|---|---:|---:|---:|---|
| `train` | 6000 | 6000 | 0 | seg: chess 2000, hanoi 2000, maze 2000 |
| `val` | 1500 | 1500 | 0 | seg: chess 500, hanoi 500, maze 500 |
| `test` | 2700 | 1500 | 1200 | seg: chess 500, hanoi 500, maze 500 · pVQA: chess 800, nqueens 400 |
| **total** | **10200** | **9000** | **1200** | |
pVQA appears **only** in `test`, and its rows are written before the
segmentation rows of that split.
## Segmentation labels
Masks are 8-bit PNGs whose pixel values **are** these class ids — no remapping
at load time.
| Puzzle | Class ids | Count |
|---|---|---:|
| maze | 0–7 | 8 |
| chess | 8–22 | 15 |
| hanoi | 23–29 | 7 |
| Class id | Name | Puzzle |
|---:|---|---|
| 0 | `wall` | maze |
| 1 | `path` | maze |
| 2 | `start` | maze |
| 3 | `dest_a` | maze |
| 4 | `dest_b` | maze |
| 5 | `dest_c` | maze |
| 6 | `dest_d` | maze |
| 7 | `dest_e` | maze |
| 8 | `background` | chess |
| 9 | `white_square` | chess |
| 10 | `black_square` | chess |
| 11 | `white_pawn` | chess |
| 12 | `white_knight` | chess |
| 13 | `white_bishop` | chess |
| 14 | `white_rook` | chess |
| 15 | `white_queen` | chess |
| 16 | `white_king` | chess |
| 17 | `black_pawn` | chess |
| 18 | `black_knight` | chess |
| 19 | `black_bishop` | chess |
| 20 | `black_rook` | chess |
| 21 | `black_queen` | chess |
| 22 | `black_king` | chess |
| 23 | `background` | hanoi |
| 24 | `peg` | hanoi |
| 25 | `disk_1` | hanoi |
| 26 | `disk_2` | hanoi |
| 27 | `disk_3` | hanoi |
| 28 | `disk_4` | hanoi |
| 29 | `disk_5` | hanoi |
## pVQA answer spaces
| Puzzle | `question_id` | Question | `options` | Rows |
|---|---|---|---|---:|
| chess | `q1` | Which quarter of the board is the white queen in? A=top-left B=top-right C=bottom-left D=bottom-right. | `[A, B, C, D]` | 100 |
| chess | `q2` | Which quarter of the board is the white bishop in? A=top-left B=top-right C=bottom-left D=bottom-right. | `[A, B, C, D]` | 100 |
| chess | `q3` | Is the leftmost white pawn in the top half or the bottom half of the board? | `[top, bottom]` | 100 |
| chess | `q4` | Is the white king above or below the black knight? | `[above, below]` | 100 |
| chess | `q5` | Are the white rook and the black king in the same row or the same column? | `[Yes, No]` | 100 |
| chess | `q6` | Are the white king and the black king on adjacent (touching) squares? | `[Yes, No]` | 100 |
| chess | `q7` | Is the white queen on the same rank, file, or diagonal as the black king? | `[Yes, No]` | 100 |
| chess | `q8` | Is there a white queen on the board? | `[Yes, No]` | 100 |
| nqueens | `q1` | Is the leftmost queen in the top half or the bottom half of the board? | `[top, bottom]` | 100 |
| nqueens | `q2` | Is the topmost queen in the left half or the right half of the board? | `[left, right]` | 100 |
| nqueens | `q3` | Is the leftmost queen above or below the rightmost queen? | `[above, below]` | 100 |
| nqueens | `q4` | Is the leftmost queen in the top, middle, or bottom third of the board? | `[top, middle, bottom]` | 100 |
## Files
| Path | Contents |
|---|---|
| `data/*.parquet` | the table — 10200 rows |
| `masks/{train,val,test}/*.png` | 9000 label maps, 8-bit, values `0..29` |
| `classes.yaml` | 30-class map + per-class loss weights |
| `manifest.csv` | `unified_id,source_task,source_id,split` |
| `pvqa_questions.yaml` | published question specs, nested by task |
## License
**CC BY 4.0.** If you use this dataset, please cite the PuzzleBench project.
|