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+---
+configs:
+  - config_name: all
+    default: true
+    data_files:
+      - split: train
+        path: data/all/train*.parquet
+      - split: test
+        path: data/all/test*.parquet
+  - config_name: qrr
+    data_files:
+      - split: train
+        path: data/qrr/train*.parquet
+      - split: test
+        path: data/qrr/test*.parquet
+  - config_name: trr
+    data_files:
+      - split: train
+        path: data/trr/train*.parquet
+      - split: test
+        path: data/trr/test*.parquet
+  - config_name: fdr
+    data_files:
+      - split: train
+        path: data/fdr/train*.parquet
+      - split: test
+        path: data/fdr/test*.parquet
+task_categories:
+  - visual-question-answering
+language:
+  - en
+license: mit
+tags:
+  - spatial-reasoning
+  - vlm-benchmark
+  - ordinal-relations
+  - 3d-scenes
+  - multi-view
+size_categories:
+  - 100K<n<1M
+---
+
+# ORDINARY-BENCH Multi-View Dataset
+
+A multi-view version of the ORDINARY-BENCH benchmark for evaluating Vision-Language Models (VLMs) on **ordinal spatial reasoning** in 3D scenes. Each sample includes **4 camera views** of the same scene.
+
+> Single-view version: [TYTSTQ/ordinary-bench](https://huggingface.co/datasets/TYTSTQ/ordinary-bench)
+>
+> Source code & evaluation pipeline: [GitHub - tasd12-ty/ordinary-bench-core](https://github.com/tasd12-ty/ordinary-bench-core)
+
+## Overview
+
+| | |
+|---|---|
+| Scenes | 700 synthetic 3D scenes (Blender, CLEVR-style) |
+| Complexity | 7 levels: 4 to 10 objects per scene (100 each) |
+| Questions | 332,857 total across 3 reasoning types |
+| Images | 4 views per scene (480 x 320 PNG each) |
+
+## Question Types
+
+### QRR (Quantitative Relation Reasoning) -- 130,557 questions
+
+Compare 3D distances between object pairs. Two variants:
+- **Disjoint**: Is `dist(A,B)` less than, approximately equal to, or greater than `dist(C,D)`?
+- **Shared anchor**: From anchor A, is `dist(A,B)` less/equal/greater than `dist(A,C)`?
+- **Answer format**: `<`, `~=`, or `>`
+
+### TRR (Ternary Relation Reasoning) -- 197,400 questions
+
+Clock-face direction reasoning:
+- Standing at object `ref1`, facing toward object `ref2` (12 o'clock direction)
+- What clock hour (1-12) is the `target` object at?
+- **Answer format**: integer 1-12
+
+### FDR (Full Distance Ranking) -- 4,900 questions
+
+Given an anchor object, rank all other objects by 3D distance, nearest to farthest.
+- **Answer format**: ordered JSON array of object IDs, e.g., `["obj_2", "obj_1", "obj_3"]`
+
+## Quick Start
+
+```python
+from datasets import load_dataset
+
+# Load QRR questions (test split)
+ds = load_dataset("TYTSTQ/ordinary-bench-multiview", "qrr", split="test")
+
+sample = ds[0]
+sample["view_0"]               # PIL Image (480x320) - camera view 0
+sample["view_1"]               # PIL Image - camera view 1
+sample["view_2"]               # PIL Image - camera view 2
+sample["view_3"]               # PIL Image - camera view 3
+sample["question_text"]        # "Compare the distance between obj_0 and obj_1 vs ..."
+sample["qrr_gt_comparator"]   # Ground truth: "<", "~=", or ">"
+
+# Load all question types
+ds_all = load_dataset("TYTSTQ/ordinary-bench-multiview", split="test")
+```
+
+## Configs
+
+| Config | Description | Questions |
+|--------|-------------|-----------|
+| `all` (default) | All 3 question types | 332,857 |
+| `qrr` | Distance comparison only | 130,557 |
+| `trr` | Clock direction only | 197,400 |
+| `fdr` | Distance ranking only | 4,900 |
+
+## Data Splits
+
+| Split | Scenes per complexity | Total scenes | Total questions |
+|-------|----------------------|--------------|-----------------|
+| train | 80 | 560 | 266,261 |
+| test  | 20 | 140 | 66,596 |
+
+## Column Schema
+
+### Common columns (all configs)
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `scene_id` | string | Scene identifier, e.g., `n04_000080` |
+| `n_objects` | int | Number of objects in scene (4-10) |
+| `split` | string | Complexity split: `n04` through `n10` |
+| `view_0` | Image | Camera view 0 (480x320 PNG) |
+| `view_1` | Image | Camera view 1 (480x320 PNG) |
+| `view_2` | Image | Camera view 2 (480x320 PNG) |
+| `view_3` | Image | Camera view 3 (480x320 PNG) |
+| `objects` | string | JSON array: `[{"id": "obj_0", "desc": "large brown rubber sphere"}, ...]` |
+| `question_type` | string | `qrr`, `trr`, or `fdr` |
+| `qid` | string | Question ID, e.g., `qrr_0001` |
+| `question_text` | string | Natural language question |
+| `scene_metadata` | string | Full scene JSON (3D coordinates, camera parameters, etc.) |
+
+### QRR-specific columns
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `qrr_variant` | string | `disjoint` or `shared_anchor` |
+| `qrr_pair1` | string | JSON: `["obj_0", "obj_1"]` |
+| `qrr_pair2` | string | JSON: `["obj_2", "obj_3"]` |
+| `qrr_metric` | string | Distance metric, e.g., `dist3D` |
+| `qrr_gt_comparator` | string | Ground truth: `<`, `~=`, or `>` |
+
+### TRR-specific columns
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `trr_target` | string | Target object ID |
+| `trr_ref1` | string | Standing position object |
+| `trr_ref2` | string | 12 o'clock facing direction object |
+| `trr_gt_hour` | int | Ground truth clock hour (1-12) |
+| `trr_gt_quadrant` | int | Ground truth quadrant (1-4) |
+| `trr_gt_angle_deg` | float | Ground truth angle in degrees |
+
+### FDR-specific columns
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `fdr_anchor` | string | Anchor object ID |
+| `fdr_n_ranked` | int | Number of objects to rank |
+| `fdr_gt_ranking` | string | JSON: `["obj_2", "obj_1", "obj_3"]` (nearest to farthest) |
+| `fdr_gt_distances` | string | JSON: `[3.006, 3.553, 3.882]` |
+| `fdr_gt_tie_groups` | string | JSON: `[["obj_2"], ["obj_1", "obj_3"]]` |
+
+## Prompt Templates
+
+System prompts for VLM evaluation are included in `prompts/system_prompts.json`.
+
+## Source Code
+
+**[github.com/tasd12-ty/ordinary-bench-core](https://github.com/tasd12-ty/ordinary-bench-core)**
+
+## License
+
+MIT