Update README.md

README.md

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----
-license: mit
----
+---
+license: cc-by-4.0
+task_categories:
+- image-classification
+- object-detection
+- geospatial-analysis
+tags:
+- biology
+- ecology
+- invasive-species
+- spotted-lanternfly
+- geolocation
+- citizen-science
+- conservation
+- carnegie-mellon-university
+- pittsburgh
+- academic-research
+size_categories:
+- n<1K
+language:
+- en
+pretty_name: CMU Campus Spotted Lanternfly Geolocated Dataset
+---
+
+# CMU Campus Spotted Lanternfly Geolocated Dataset
+
+## Dataset Description
+
+This dataset contains geolocated photographs of spotted lanternflies (Lycorma delicatula) collected around Carnegie Mellon University campus in Pittsburgh, Pennsylvania. The dataset was created as part of a class project (Project 1) focused on invasive species monitoring and geospatial data collection. Each entry includes high-resolution photographs with precise GPS coordinates, timestamps, and metadata for spatial analysis of lanternfly distribution patterns.
+
+### Dataset Summary
+
+The CMU Campus Spotted Lanternfly Geolocated Dataset consists of field-collected data from systematic surveys conducted around Carnegie Mellon University campus. The dataset includes:
+
+- **Geolocated Images**: High-quality photographs with precise GPS coordinates
+- **Temporal Data**: Timestamps for temporal analysis of sighting patterns
+- **Spatial Metadata**: Location descriptions and environmental context
+- **Quality Metrics**: Image quality and classification confidence scores
+
+This dataset supports research on invasive species distribution patterns, urban ecology studies, and the development of geospatial analysis tools for environmental monitoring.
+
+### Supported Tasks and Leaderboards
+
+- **Image Classification**: Binary classification (Lantern Fly vs Non-Lantern Fly)
+- **Object Detection**: Identification of spotted lanternflies in images
+- **Geospatial Analysis**: Spatial distribution and clustering analysis
+- **Temporal Analysis**: Time-series analysis of sighting patterns
+- **Urban Ecology**: Study of invasive species in urban environments
+
+## Dataset Structure
+
+### Data Instances
+
+Each data instance contains:
+- **image**: High-resolution photograph (typically 512x512 or higher)
+- **filename**: Unique identifier with timestamp and location information
+- **latitude**: GPS latitude coordinate (decimal degrees)
+- **longitude**: GPS longitude coordinate (decimal degrees)
+- **timestamp**: Date and time of sighting (ISO 8601 format)
+- **location_description**: Human-readable location description
+- **confidence_score**: Classification confidence (0-1 scale)
+
+### Data Fields
+
+| Field | Type | Description |
+|-------|------|-------------|
+| image | Image | High-resolution photograph of spotted lanternfly |
+| filename | String | Unique filename with timestamp and location |
+| latitude | Float | GPS latitude coordinate (decimal degrees) |
+| longitude | Float | GPS longitude coordinate (decimal degrees) |
+| timestamp | String | ISO 8601 formatted timestamp |
+| location_description | String | Human-readable location description |
+| confidence_score | Float | Classification confidence (0-1) |
+
+### Data Splits
+
+| Split | Examples | Description |
+|-------|----------|-------------|
+| train | ~80% | Training data for model development |
+| validation | ~10% | Validation data for model evaluation |
+| test | ~10% | Test data for final model assessment |
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset was created as part of an academic project to:
+
+1. **Study Invasive Species Distribution**: Understand spatial patterns of spotted lanternfly infestations in urban environments
+2. **Develop Geospatial Tools**: Create tools for mapping and analyzing species distribution data
+3. **Support Academic Research**: Provide high-quality data for ecological and entomological research
+4. **Demonstrate Data Collection Methods**: Showcase systematic field data collection techniques
+
+### Source Data
+
+- **Collection Method**: Systematic field surveys around CMU campus
+- **Geographic Scope**: Carnegie Mellon University campus and surrounding areas
+- **Time Period**: Collected during academic semester (specific dates available in metadata)
+- **Equipment**: Mobile devices with GPS capabilities for geolocation data
+
+### Data Collection Process
+
+1. **Field Surveys**: Systematic walking surveys of campus areas
+2. **Photo Documentation**: High-quality photographs with GPS coordinates
+3. **Metadata Recording**: Timestamp, location description, and environmental context
+4. **Quality Control**: Verification of species identification and coordinate accuracy
+5. **Data Validation**: Cross-checking of GPS coordinates and image quality
+
+### Geographic Coverage
+
+- **Primary Area**: Carnegie Mellon University campus, Pittsburgh, PA
+- **Coordinate Range**: 
+  - Latitude: ~40.44°N (approximate CMU campus center)
+  - Longitude: ~-80.00°W (approximate CMU campus center)
+- **Coverage Type**: Urban campus environment with diverse microhabitats
+
+### Personal and Sensitive Information
+
+No personal or sensitive information is included in this dataset. All images contain only biological specimens and environmental contexts. GPS coordinates are limited to public campus areas.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+This dataset supports:
+- **Academic Research**: Ecological studies of invasive species in urban environments
+- **Educational Purposes**: Teaching materials for geospatial analysis and ecology
+- **Conservation Efforts**: Understanding distribution patterns for management strategies
+- **Methodological Development**: Tools for citizen science and environmental monitoring
+
+### Discussion of Biases
+
+Potential biases in the dataset include:
+- **Temporal Bias**: Collection limited to specific time periods (academic calendar)
+- **Spatial Bias**: Concentrated on CMU campus area
+- **Weather Bias**: Collection may favor certain weather conditions
+- **Accessibility Bias**: Limited to publicly accessible campus areas
+- **Seasonal Bias**: Collection timing may not represent full seasonal patterns
+
+### Other Known Limitations
+
+- Limited geographic scope (single campus)
+- Potential overrepresentation of certain microhabitats
+- Variable lighting conditions across collection sessions
+- Limited temporal coverage (academic semester timeframe)
+
+## Additional Information
+
+### Dataset Curators
+
+- **Primary Curators**: [Student Name(s)]
+- **Institution**: Carnegie Mellon University
+- **Course**: [Course Name/Number] - Project 1
+- **Academic Year**: [Academic Year]
+- **Instructor**: [Instructor Name]
+
+### Licensing Information
+
+This dataset is released under the **Creative Commons Attribution 4.0 International License** (CC BY 4.0).
+
+### Citation Information
+
+```bibtex
+@dataset{cmu_lanternfly_geolocated_2024,
+  title={CMU Campus Spotted Lanternfly Geolocated Dataset: Field-collected geospatial data for invasive species research},
+  author={[Student Name(s)]},
+  year={2024},
+  institution={Carnegie Mellon University},
+  course={[Course Name/Number]},
+  publisher={Hugging Face},
+  url={https://huggingface.co/datasets/[username]/cmu-lanternfly-geolocated},
+  license={CC BY 4.0}
+}
+```
+
+### Academic Context
+
+This dataset was created as part of an academic project focused on:
+- **Geospatial Data Collection**: Methods for systematic field data collection
+- **Invasive Species Monitoring**: Techniques for tracking invasive species
+- **Urban Ecology**: Study of species distribution in urban environments
+- **Data Science Applications**: Integration of geospatial and image data
+
+### Usage Examples
+
+```python
+from datasets import load_dataset
+import folium
+import pandas as pd
+
+# Load the dataset
+dataset = load_dataset("[username]/cmu-lanternfly-geolocated")
+
+# Create a map of sightings
+m = folium.Map(location=[40.4406, -80.00], zoom_start=15)
+
+# Add markers for each sighting
+for item in dataset['train']:
+    folium.Marker(
+        [item['latitude'], item['longitude']],
+        popup=f"Confidence: {item['confidence_score']:.2f}",
+        icon=folium.Icon(color='red', icon='bug')
+    ).add_to(m)
+
+# Display the map
+m
+```
+
+### Acknowledgments
+
+- Carnegie Mellon University for providing the academic framework
+- Course instructor for project guidance
+- CMU campus community for access to collection sites
+- The open-source community for geospatial analysis tools
+
+### Future Work
+
+Potential extensions of this dataset include:
+- **Expanded Geographic Coverage**: Collection from additional Pittsburgh areas
+- **Temporal Extension**: Multi-season data collection
+- **Multi-species Data**: Inclusion of other invasive species
+- **Environmental Variables**: Weather and habitat data integration
+
+---
+
+*This dataset represents academic work in geospatial data collection and invasive species monitoring at Carnegie Mellon University.*