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README.md

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----
-license: apache-2.0
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+# Open Cortex FX v3
+
+A curated dataset of videos depicting human manual labor and physical work, organized by task categories.
+
+## Dataset Description
+
+Open Cortex FX v3 is a classified video dataset focusing on human manual labor and physical work activities. Each video has been carefully annotated to identify work-related content and categorized into specific labor types.
+
+### Dataset Statistics
+
+- **Total Videos**: Classified videos showing human manual labor
+- **Categories**: 20+ distinct labor categories
+- **Format**: MP4 video files organized by category
+- **Structure**: Videos are split into multiple zip files for easy distribution
+
+## Dataset Structure
+
+The dataset is organized as follows:
+
+```
+final_0.zip
+final_1.zip
+final_2.zip
+...
+```
+
+Each zip file contains:
+- **Category folders**: Videos organized by labor type (e.g., `Cooking/`, `Repair/`, `Construction/`)
+- **Metadata CSV**: Mapping file with video information
+
+### Category Folders
+
+Videos are organized into category folders based on the type of manual labor depicted:
+
+- **Construction** - Building, construction work, using construction tools
+- **Cooking** - Preparing food, cooking, chopping, mixing ingredients
+- **Repair** - Fixing, repairing, maintenance work
+- **Cleaning** - Cleaning, mopping, scrubbing, organizing spaces
+- **Assembly** - Assembling products, putting things together
+- **Gardening** - Gardening, landscaping, outdoor manual work
+- **Painting** - Painting surfaces, applying paint or finishes
+- **Sewing** - Sewing, textile work, fabric manipulation
+- **Woodworking** - Working with wood, carpentry, wood crafting
+- **Metalworking** - Working with metal, welding, metal fabrication
+- **Moving** - Lifting, carrying, moving heavy objects
+- **Serving** - Serving food or drinks, manual service work
+- **Organizing** - Arranging, organizing physical items
+- **Crafting** - General crafting, artisan work, making things by hand
+- **Electrical** - Electrical work, wiring, electrical installation
+- **Plumbing** - Plumbing work, pipe installation, water systems
+- **Automotive** - Automotive repair, working on vehicles
+- **Farming** - Farming, agriculture, working with crops/animals
+- **Welding** - Welding, joining metals with heat
+- **General Labor** - Other manual labor that doesn't fit above categories
+
+## Metadata Format
+
+Each zip file includes a `metadata.csv` file with the following columns:
+
+| Column | Description |
+|--------|-------------|
+| `new_name` | Randomly assigned filename for the video (e.g., `aBc123XyZ789.mp4`) |
+| `original_name` | Original video filename from source dataset |
+| `category` | Labor category classification |
+| `original_part` | Original dataset part number (for reference) |
+| `caption` | Text description of the video content |
+| `aesthetic_score` | Aesthetic quality score |
+| `motion_score` | Motion activity score |
+| `temporal_consistency` | Temporal consistency score |
+| `camera_motion` | Camera movement type (static, pan_left, zoom_in, etc.) |
+| `frame` | Number of frames in the video |
+| `fps` | Frames per second |
+| `seconds` | Video duration in seconds |
+
+## Usage
+
+### Downloading the Dataset
+
+The dataset is available on Hugging Face. You can download it using:
+
+```python
+from huggingface_hub import snapshot_download
+
+snapshot_download(
+    repo_id="Standout/open-cortex-fx-v3",
+    repo_type="dataset",
+    local_dir="./open-cortex-fx-v3"
+)
+```
+
+### Extracting and Using the Data
+
+1. **Extract zip files**: Unzip the downloaded files to access the video content
+2. **Read metadata**: Load `metadata.csv` from each zip to get video information
+3. **Access by category**: Navigate to category folders to find specific types of labor videos
+
+### Example: Loading Metadata
+
+```python
+import zipfile
+import pandas as pd
+import io
+
+# Extract and read metadata from a zip file
+with zipfile.ZipFile('final_0.zip', 'r') as z:
+    with z.open('metadata.csv') as f:
+        metadata = pd.read_csv(io.BytesIO(f.read()))
+
+# Filter by category
+cooking_videos = metadata[metadata['category'] == 'Cooking']
+print(f"Found {len(cooking_videos)} cooking videos")
+```
+
+### Example: Accessing Videos
+
+```python
+import zipfile
+
+# Extract a specific video
+with zipfile.ZipFile('final_0.zip', 'r') as z:
+    # List all videos in Cooking category
+    cooking_videos = [name for name in z.namelist() if name.startswith('Cooking/')]
+    
+    # Extract a video
+    z.extract('Cooking/example_video.mp4', './output/')
+```
+
+## Dataset Characteristics
+
+- **Focus**: Human manual labor and physical work activities
+- **Quality**: Videos are filtered to show clear human action performing manual tasks
+- **Diversity**: Multiple categories covering various types of physical work
+- **Organization**: Structured by labor type for easy access and filtering
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@dataset{open_cortex_fx_v3,
+  title={Open Cortex FX v3: A Classified Dataset of Human Manual Labor},
+  author={Standout},
+  year={2024},
+  url={https://huggingface.co/datasets/Standout/open-cortex-fx-v3}
+}
+```
+
+## License
+
+[Specify your license here]
+
+## Contact
+
+For questions or issues, please contact [your contact information].
+

final_0.zip

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final_1.zip

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final_2.zip

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final_3.zip

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final_4.zip

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+size 425639004

final_5.zip

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