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README.md

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 ---
-license: cc-by-4.0
+pretty_name: VIEW2SPACE v1
+task_categories:
+- visual-question-answering
+tags:
+- multi-view
+- vision-language
+- spatial-reasoning
+- counting
+- detection
+- mcq
 ---
+
+# VIEW2SPACE v1
+
+VIEW2SPACE v1 is a multi-view vision-language evaluation dataset for spatial reasoning.
+
+The public release is organized into three subsets:
+
+- `count`
+- `detect`
+- `mcq`
+
+For official code, updates, and usage instructions, please see:
+
+https://github.com/pokerme7777/VIEW2SPACE
+
+## Directory Structure
+
+```text
+view2space-v1-release/
+  README.md
+  count/
+    overall.jsonl
+  detect/
+    overall.jsonl
+  mcq/
+    overall.jsonl
+  images/
+    img_000001.png
+    img_000002.png
+    ...
+```
+
+Each subset contains one `overall.jsonl` file. Each line is one question.
+
+## Data Format
+
+Each JSONL record contains the following public fields:
+
+- `q_idx`: question id, such as `mcq_000001`
+- `q_type`: question family, one of `mcq`, `detect`, or `count`
+- `question`: question text
+- `options`: multiple-choice options for MCQ questions; empty for non-MCQ questions
+- `question_prompt`: extra prompt text when applicable
+- `answer`: ground-truth answer
+- `image_paths`: relative paths to the images used by the question
+- `supporting.draw_boxes`: optional input boxes associated with one or more images
+
+Notes:
+
+- `image_paths` are relative to the dataset root, not to the subset folder.
+- Example image path: `images/img_000123.png`
+- `q_type` uses only the public family labels `mcq`, `detect`, and `count`.
+
+## Example Record
+
+```json
+{
+  "q_idx": "mcq_000001",
+  "q_type": "mcq",
+  "question": "All views are captured from the same static scene arrangement, but from different positions and angles.\nIn view 2, consider the nearest 'man with an orange hat, crouching'. Where is the 'white temple' relative to this 'man with an orange hat, crouching'?",
+  "options": {
+    "A": "left",
+    "B": "right",
+    "C": "front",
+    "D": "back"
+  },
+  "question_prompt": "",
+  "answer": "C",
+  "image_paths": [
+    "images/img_000813.png",
+    "images/img_000806.png",
+    "images/img_000815.png"
+  ],
+  "supporting": {
+    "draw_boxes": null
+  }
+}
+```
+
+## Basic Usage
+
+```python
+import json
+from pathlib import Path
+
+dataset_root = Path("/path/to/view2space-v1-release")
+jsonl_path = dataset_root / "mcq" / "overall.jsonl"
+
+with jsonl_path.open("r", encoding="utf-8") as f:
+    first = json.loads(next(f))
+
+image_files = [dataset_root / rel_path for rel_path in first["image_paths"]]
+print(first["q_idx"])
+print(first["q_type"])
+print(image_files)
+```
+
+## Citation
+
+If you use VIEW2SPACE v1, please refer to the official repository for the latest citation information:
+
+https://github.com/pokerme7777/VIEW2SPACE