Upload README.md with huggingface_hub

README.md

@@ -35,42 +35,35 @@ SpatialWorld is a comprehensive benchmark designed to evaluate spatial reasoning
 
 ## 📊 Dataset Statistics
 
-This Hugging Face repository contains the complete **SpatialWorld Benchmark** with all 630 tasks:
+This Hugging Face repository contains the **SpatialWorld Benchmark** with 588 tasks in the unified dataset:
 
-| Platform | Tasks | Task Types | Unique Fields |
-|----------|-------|------------|---------------|
-| AI2Thor | 343 | Object manipulation, navigation | Category, Evaluation_Type, Level |
-| CARLA | 80 | Urban navigation, traffic scenarios | executor, image_url, input_modality, origin_location, weather |
-| ProcTHOR | 127 | Indoor navigation, household tasks | scene_index, Category, Evaluation_Type, Level |
-| VirtualHome | 80 | Multi-agent household activities | executor, image_url, input_modality, origin_location, weather |
-| **Total** | **630** | Multi-platform spatial reasoning | **20 fields total** |
+| Platform | Unified Tasks | Full Dataset (benchmark.zip) | Task Types | Unique Fields |
+|----------|---------------|------------------------------|------------|---------------|
+| AI2Thor | 343 | 2,500+ | Object manipulation, navigation | Category, Evaluation_Type, Level |
+| CARLA | 80 | 80 | Urban navigation, traffic scenarios | executor, image_url, input_modality, origin_location, weather |
+| ProcTHOR | 127 | 127 | Indoor navigation, household tasks | scene_index, Category, Evaluation_Type, Level |
+| VirtualHome | 38 | 38 | Multi-agent household activities | executor, image_url, input_modality, origin_location, weather |
+| **Total** | **588** | **~2,745** | Multi-platform spatial reasoning | **20 fields total** |
 
 ## 🗂️ Repository Structure
 
 ```
-spatialworld.jsonl    # Unified dataset (588 tasks, 20 columns)
-benchmark/            # Original raw task.json files
-├── ai2thor/
-├── carla/
-├── procthor/
-├── virtualhome/
-├── embodiedcity/
-├── game/
-└── shared/
-README.md             # This file
+spatialworld-test.jsonl    # Unified dataset (588 tasks, 20 columns)
+benchmark.zip              # Full original dataset (8695 files, ~1GB)
+README.md                  # This file
 ```
 
 Two versions of the data are provided:
 
-1. **`spatialworld.jsonl`** (Unified): All 588 tasks in a unified schema with 20 columns. HF Dataset Viewer parses this file.
+1. **`spatialworld-test.jsonl`** (Unified): All 588 tasks in a unified schema with 20 columns. HF Dataset Viewer parses this file.
    - Schema differences handled by including all possible fields
    - Missing fields use `null`
    - Complex nested structures encoded as JSON strings
    - Actions converted to Unified Action Space format
 
-2. **`benchmark/`** (Raw): Original task.json files preserving platform-specific structures.
-   - Use this if you need the original JSON format
-   - Organized by platform: `ai2thor/`, `carla/`, `procthor/`, `virtualhome/`
+2. **`benchmark.zip`** (Full Original Dataset): Complete raw task.json files (~1GB, 8695 files).
+   - Download and unzip to get the original folder structure: `benchmark/ai2thor/`, `benchmark/carla/`, `benchmark/procthor/`, `benchmark/virtualhome/`
+   - Use this if you need the original JSON format with platform-specific structures
 
 ## 🎮 Unified Action Space
 
@@ -171,6 +164,39 @@ print(f"Executor: {task['executor']}")   # Only for carla/virtualhome
 | `scene_index` | int | Scene number | procthor |
 | `weather` | string | Weather condition | carla, virtualhome |
 
+### Downloading Full Original Dataset
+
+The complete original benchmark data (~1GB, 8695 files) is available in `benchmark.zip`:
+
+**Option 1: Using Hugging Face Hub**
+```python
+from huggingface_hub import hf_hub_download
+import zipfile
+
+# Download benchmark.zip
+zip_path = hf_hub_download(
+    repo_id="Spatialworld/Spatialworld-bench",
+    filename="benchmark.zip",
+    repo_type="dataset",
+    local_dir="./"
+)
+
+# Extract
+with zipfile.ZipFile(zip_path, 'r') as zip_ref:
+    zip_ref.extractall("./benchmark")
+
+print("Full benchmark extracted to ./benchmark/")
+```
+
+**Option 2: Direct Download**
+```bash
+wget https://huggingface.co/datasets/Spatialworld/Spatialworld-bench/resolve/main/benchmark.zip
+unzip benchmark.zip -d benchmark/
+```
+
+**Option 3: Web Interface**
+Visit https://huggingface.co/datasets/Spatialworld/Spatialworld-bench → Files and versions → download `benchmark.zip`
+
 ### Loading Original Tasks (Local)
 
 For full benchmark with original JSON structures: