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+*tfevents* filter=lfs diff=lfs merge=lfs -text
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+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
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+# Audio files - compressed
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README.md

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+---
+dataset_info:
+  features:
+  - name: task_id
+    dtype: int32
+  - name: annotation_id
+    dtype: int32
+  - name: image
+    dtype: image
+  - name: instruction_cn
+    dtype: string
+  - name: instruction_en
+    dtype: string
+  - name: sample_id
+    dtype: string
+  - name: gaze_point
+    list: int32
+  - name: choices
+    struct:
+    - name: activity
+      dtype: string
+    - name: is_same_window
+      dtype: string
+    - name: place
+      dtype: string
+    - name: platform
+      dtype: string
+    - name: scenario
+      dtype: string
+    - name: task type
+      dtype: string
+    - name: ui_type
+      dtype: string
+  - name: target_bbox
+    struct:
+    - name: height
+      dtype: float32
+    - name: image_rotation
+      dtype: int32
+    - name: labels
+      list: string
+    - name: original_height
+      dtype: int32
+    - name: original_width
+      dtype: int32
+    - name: rotation
+      dtype: float32
+    - name: width
+      dtype: float32
+    - name: x
+      dtype: float32
+    - name: y
+      dtype: float32
+  - name: is_ok
+    dtype: bool
+  - name: objects
+    struct:
+    - name: bbox
+      list:
+        list: float32
+        length: 4
+    - name: category
+      list:
+        class_label:
+          names:
+            '0': target
+language:
+- en
+- zh
+license: cc-by-4.0
+tags:
+- computer-vision
+- visual-grounding
+- xr
+- egocentric
+- gui
+- apple-vision-pro
+- instruction-following
+- multimodal
+task_ids:
+- visual-grounding
+- object-detection
+
+pretty_name: EgoXR-GUI - Egocentric XR GUI Grounding Dataset
+---
+# EgoXR-GUI: Benchmarking GUI Grounding in Physical–Digital Extended Reality
+
+EgoXR-GUI is the first extended reality (XR) specific GUI grounding benchmark. Unlike traditional desktop or mobile GUI benchmarks, EgoXR-GUI evaluates whether multimodal large language models (MLLMs) can effectively reason about virtual interfaces embedded within hybrid digital–physical environments.
+
+## Overview
+
+- **Dataset Size:** 1,070 carefully curated examples. (Originally comprising more internal annotations, the final publicly released benchmark validates exactly 1,070 high-quality target grounding instructions across diverse spatial scenarios.)
+- **Platform:** Apple Vision Pro and other 3D/XR environments.
+- **Task Types:** 
+  1. **Direct Grounding:** Simple identification.
+  2. **Spatial Grounding:** Reasoning about UI elements based on 3D spatial properties.
+  3. **Semantic Grounding:** Reasoning based on the text or icon semantics of the UI elements.
+- **Language Supported:** English (`instruction_en`) and Chinese (`instruction_cn`).
+
+## Data Fields
+
+Each Example contains the following fields:
+- `task_id` & `annotation_id`: Unique identifiers for tracking the specific visual task.
+- `sample_id`: External sample identifier linking back to the origin dataset source.
+- `image`: The egocentric view captured from the XR headset/environment.
+- `instruction_en`: The grounding prompt in English.
+- `instruction_cn`: The grounding prompt in Chinese.
+- `gaze_point`: The tracked eye gaze coordinate `[x, y]` representing the user's attention.
+- `choices`: Structured dictionary showing context tags:
+  - `is_same_window`
+  - `ui_type`
+  - `platform` 
+  - `scenario`
+  - `place`
+  - `activity`
+  - `task type`
+- `target_bbox`: The exact geometrical target. Contains `x`, `y`, `width`, `height`, spatial `rotation`, and string `labels`.
+- `objects`: Hugging Face standardized format representing the bounding box for Data Viewer Visualization.
+- `is_ok`: Quality control boolean indicator.
+

examples.json

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+[
+    {
+        "task_id": 136,
+        "annotation_id": 227,
+        "image": "images/b5b8eeb3-restaurant_10.png",
+        "instruction_cn": "\u5728APP\u91cc\u6539\u53d8\u8bb0\u5f55\u65e5\u671f",
+        "instruction_en": "change record date on the APP",
+        "sample_id": "restaurant_10_4",
+        "gaze_point": [
+            1797,
+            899
+        ],
+        "choices": {
+            "is_same_window": "true",
+            "ui_type": "text",
+            "platform": "apple vision pro",
+            "scenario": "Sport & Health",
+            "place": "restaurant",
+            "activity": "exercise",
+            "task type": "Simple Grounding"
+        },
+        "target_bbox": {
+            "x": 30.577206424416385,
+            "y": 5.980391885972485,
+            "width": 21.47208913902094,
+            "height": 7.507278573050281,
+            "rotation": 0,
+            "labels": [
+                "Target"
+            ],
+            "original_width": 3840,
+            "original_height": 2160,
+            "image_rotation": 0
+        },
+        "is_ok": true,
+        "objects": {
+            "bbox": [
+                [
+                    30.577206424416385,
+                    5.980391885972485,
+                    21.47208913902094,
+                    7.507278573050281
+                ]
+            ],
+            "category": [
+                0
+            ]
+        }
+    },
+    {
+        "task_id": 242,
+        "annotation_id": 1063,
+        "image": "images/796c563c-office_15.png",
+        "instruction_cn": "\u5c06\u89c6\u9891\u6dfb\u52a0\u5230\u7f16\u8f91\u533a",
+        "instruction_en": "add video to editing space",
+        "sample_id": null,
+        "gaze_point": [
+            2041,
+            1222
+        ],
+        "choices": {
+            "is_same_window": "true",
+            "ui_type": "icon",
+            "platform": "apple vision pro",
+            "scenario": "Design & Creation",
+            "place": "office",
+            "activity": "video editing",
+            "task type": "Simple Grounding"
+        },
+        "target_bbox": {
+            "x": 25.555791698900805,
+            "y": 44.94002514952747,
+            "width": 1.3158808733851366,
+            "height": 2.585590488054997,
+            "rotation": 0,
+            "labels": [
+                "Target"
+            ],
+            "original_width": 3840,
+            "original_height": 2160,
+            "image_rotation": 0
+        },
+        "is_ok": true,
+        "objects": {
+            "bbox": [
+                [
+                    25.555791698900805,
+                    44.94002514952747,
+                    1.3158808733851366,
+                    2.585590488054997
+                ]
+            ],
+            "category": [
+                0
+            ]
+        }
+    }
+]