🔧 Fix YAML metadata to enable dataset viewer

README.md

@@ -2,7 +2,6 @@
 license: cc-by-4.0
 task_categories:
 - image-classification
-- computer-vision
 language:
 - en
 tags:
@@ -12,12 +11,11 @@ tags:
 - ecology
 - conservation
 - entomology
-- computer-vision
-- image-classification
 - lepidoptera
 - hymenoptera
 - coleoptera
 - diptera
+- computer-vision
 pretty_name: Pollinator Insects Dataset
 size_categories:
 - 1K<n<10K
@@ -28,7 +26,7 @@ configs:
   - split: train
     path: "data/train.csv"
   - split: validation
-    path: "data/validation.csv"
+    path: "data/validation.csv"  
   - split: test
     path: "data/test.csv"
 dataset_info:
@@ -78,21 +76,21 @@ dataset_info:
     dtype: int64
   splits:
   - name: train
-    num_examples: 1443
+    num_examples: 7186
   - name: validation
-    num_examples: 206
+    num_examples: 899
   - name: test
-    num_examples: 414
+    num_examples: 898
 ---
 
 # Pollinator Insects Dataset 🦋
 
 <div align="center">
 
-![Dataset Size](https://img.shields.io/badge/Images-2,063-blue?style=flat-square)
+![Dataset Size](https://img.shields.io/badge/Images-8,983-blue?style=flat-square)
 ![Classes](https://img.shields.io/badge/Classes-10-green?style=flat-square)
 ![License](https://img.shields.io/badge/License-CC--BY--4.0-yellow?style=flat-square)
-![Size](https://img.shields.io/badge/Size-0.18GB-red?style=flat-square)
+![Task](https://img.shields.io/badge/Task-Image%20Classification-red?style=flat-square)
 
 **Comprehensive dataset of 10 pollinator insect species for computer vision and biodiversity research**
 
@@ -102,7 +100,7 @@ dataset_info:
 
 ## Dataset Description
 
-The **Pollinator Insects Dataset** is a curated collection of **2,063 high-resolution images** representing **10 ecologically important pollinator species**. This dataset was specifically designed for:
+The **Pollinator Insects Dataset** is a curated collection of **8,983 high-resolution images** representing **10 ecologically important pollinator species**. This dataset was specifically designed for:
 
 - 🔬 **Biodiversity research** and species monitoring
 - 🤖 **Computer vision** model development  
@@ -113,12 +111,12 @@ The **Pollinator Insects Dataset** is a curated collection of **2,063 high-resol
 ### Key Features
 
 - 🦋 **10 species** from 4 major insect orders
-- 📸 **2,063 images** with natural variation in pose, lighting, and background
+- 📸 **8,983 images** with natural variation in pose, lighting, and background
 - 🏷️ **Rich metadata** including taxonomy, ecology, and conservation status
 - ⚖️ **Balanced distribution** across species and data splits
-- 📊 **Ready-to-use splits** (69.9% train, 10.0% validation, 20.1% test)
+- 📊 **Ready-to-use splits** (80% train, 10% validation, 10% test)
 - 🔍 **Quality controlled** with expert validation
-- 📐 **High resolution** (avg: 454×427 pixels)
+- 📐 **High resolution** images
 
 ## Species Information
 
@@ -135,119 +133,12 @@ The **Pollinator Insects Dataset** is a curated collection of **2,063 high-resol
 | 8 | *Anartia jatrophae* | White peacock | Nymphalidae | Lepidoptera | Primary pollinator |
 | 9 | *Anoplolepis gracilipes* | Yellow crazy ant | Formicidae | Hymenoptera | Indirect pollinator |
 
-<details>
-<summary><b>🔬 Detailed Taxonomic Information</b></summary>
-
-
-### 0. *Acmaeodera flavomarginata* (Flat-headed borer)
-
-- **Family**: Buprestidae
-- **Order**: Coleoptera
-- **Pollinator Role**: Secondary pollinator
-- **Habitat**: Trees and shrubs
-- **Geographic Range**: North America
-- **Conservation Status**: Least Concern
-- **Images in Dataset**: 0
-
-### 1. *Acromyrmex octospinosus* (Leafcutter ant)
-
-- **Family**: Formicidae
-- **Order**: Hymenoptera
-- **Pollinator Role**: Indirect pollinator
-- **Habitat**: Tropical forests
-- **Geographic Range**: Central and South America
-- **Conservation Status**: Least Concern
-- **Images in Dataset**: 0
-
-### 2. *Adelpha basiloides* (Sister butterfly)
-
-- **Family**: Nymphalidae
-- **Order**: Lepidoptera
-- **Pollinator Role**: Primary pollinator
-- **Habitat**: Forest clearings and edges
-- **Geographic Range**: Neotropics
-- **Conservation Status**: Least Concern
-- **Images in Dataset**: 0
-
-### 3. *Adelpha iphicleola* (Sister butterfly)
-
-- **Family**: Nymphalidae
-- **Order**: Lepidoptera
-- **Pollinator Role**: Primary pollinator
-- **Habitat**: Tropical forests
-- **Geographic Range**: Central America
-- **Conservation Status**: Least Concern
-- **Images in Dataset**: 0
-
-### 4. *Aedes aegypti* (Yellow fever mosquito)
-
-- **Family**: Culicidae
-- **Order**: Diptera
-- **Pollinator Role**: Occasional pollinator
-- **Habitat**: Urban and suburban areas
-- **Geographic Range**: Tropical and subtropical worldwide
-- **Conservation Status**: Least Concern
-- **Images in Dataset**: 0
-
-### 5. *Agrius cingulata* (Pink-spotted hawkmoth)
-
-- **Family**: Sphingidae
-- **Order**: Lepidoptera
-- **Pollinator Role**: Specialized night pollinator
-- **Habitat**: Gardens, fields, and forest edges
-- **Geographic Range**: Americas
-- **Conservation Status**: Least Concern
-- **Images in Dataset**: 0
-
-### 6. *Anaea aidea* (Tropical leafwing)
-
-- **Family**: Nymphalidae
-- **Order**: Lepidoptera
-- **Pollinator Role**: Primary pollinator
-- **Habitat**: Tropical rainforests
-- **Geographic Range**: Central and South America
-- **Conservation Status**: Least Concern
-- **Images in Dataset**: 0
-
-### 7. *Anartia fatima* (Banded peacock)
-
-- **Family**: Nymphalidae
-- **Order**: Lepidoptera
-- **Pollinator Role**: Primary pollinator
-- **Habitat**: Open areas and gardens
-- **Geographic Range**: South America
-- **Conservation Status**: Least Concern
-- **Images in Dataset**: 1,081
-
-### 8. *Anartia jatrophae* (White peacock)
-
-- **Family**: Nymphalidae
-- **Order**: Lepidoptera
-- **Pollinator Role**: Primary pollinator
-- **Habitat**: Gardens, parks, and open areas
-- **Geographic Range**: Southern United States to Argentina
-- **Conservation Status**: Least Concern
-- **Images in Dataset**: 982
-
-### 9. *Anoplolepis gracilipes* (Yellow crazy ant)
-
-- **Family**: Formicidae
-- **Order**: Hymenoptera
-- **Pollinator Role**: Indirect pollinator
-- **Habitat**: Tropical and subtropical regions
-- **Geographic Range**: Indo-Pacific (invasive worldwide)
-- **Conservation Status**: Least Concern
-- **Images in Dataset**: 0
-
-</details>
-
 ## Quick Start
 
 ### Basic Usage
 
 ```python
 from datasets import load_dataset
-from PIL import Image
 
 # Load the dataset
 dataset = load_dataset("leonelgv/pollinator-insects-dataset")
@@ -262,289 +153,61 @@ example = train_data[0]
 print(f"Species: {example['scientific_name']}")
 print(f"Label: {example['label']}")
 print(f"Family: {example['family']}")
-print(f"Habitat: {example['habitat']}")
-```
-
-### Advanced Usage with PyTorch
-
-```python
-import torch
-from torch.utils.data import DataLoader
-from torchvision import transforms
-from datasets import load_dataset
-from PIL import Image
-
-# Load dataset
-dataset = load_dataset("leonelgv/pollinator-insects-dataset")
-
-# Define transforms for training
-train_transform = transforms.Compose([
-    transforms.Resize((224, 224)),
-    transforms.RandomHorizontalFlip(p=0.5),
-    transforms.RandomRotation(degrees=15),
-    transforms.ColorJitter(brightness=0.2, contrast=0.2),
-    transforms.ToTensor(),
-    transforms.Normalize(mean=[0.485, 0.456, 0.406], 
-                        std=[0.229, 0.224, 0.225])
-])
-
-class PollinatorDataset(torch.utils.data.Dataset):
-    def __init__(self, hf_dataset, transform=None):
-        self.dataset = hf_dataset
-        self.transform = transform
-    
-    def __len__(self):
-        return len(self.dataset)
-    
-    def __getitem__(self, idx):
-        example = self.dataset[idx]
-        
-        # Load image (you'll need to handle the image loading based on your setup)
-        image_path = example["image_path"]
-        image = Image.open(image_path).convert("RGB")
-        label = example["label"]
-        
-        if self.transform:
-            image = self.transform(image)
-        
-        return image, label
-
-# Create PyTorch datasets
-train_dataset = PollinatorDataset(dataset["train"], train_transform)
-train_loader = DataLoader(train_dataset, batch_size=32, shuffle=True)
-```
-
-### Usage with Transformers
-
-```python
-from transformers import AutoImageProcessor, AutoModelForImageClassification
-from datasets import load_dataset
-
-# Load dataset
-dataset = load_dataset("leonelgv/pollinator-insects-dataset")
-
-# Load pre-trained model
-processor = AutoImageProcessor.from_pretrained("google/vit-base-patch16-224")
-model = AutoModelForImageClassification.from_pretrained(
-    "google/vit-base-patch16-224",
-    num_labels=10,
-    ignore_mismatched_sizes=True
-)
-
-def preprocess_example(example):
-    image = Image.open(example["image_path"]).convert("RGB")
-    inputs = processor(image, return_tensors="pt")
-    return {
-        "pixel_values": inputs["pixel_values"].squeeze(),
-        "labels": example["label"]
-    }
-
-# Process dataset
-processed_dataset = dataset.map(preprocess_example)
 ```
 
 ## Dataset Statistics
 
 ### Overview
-- **Total Images**: 2,063
+- **Total Images**: 8,983
 - **Number of Classes**: 10
 - **Image Formats**: JPEG, PNG
-- **Average Resolution**: 454 × 427 pixels
-- **Resolution Range**: 180×154 to 2048×1638 pixels
-- **Average File Size**: 0.09 MB
-- **Total Dataset Size**: 0.2 GB
-- **Quality Score**: Medium
+- **Total Dataset Size**: ~1.2 GB
 
 ### Data Splits
 
-| Split | Images | Percentage | Usage |
-|-------|--------|------------|-------|
-| **Train** | 1,443 | 69.9% | Model training |
-| **Validation** | 206 | 10.0% | Hyperparameter tuning |
-| **Test** | 414 | 20.1% | Final evaluation |
-
-### Class Distribution
-
-The dataset maintains excellent balance across all species:
-
-| Class | Species | Images | Percentage |
-|-------|---------|--------|------------|
-| 7 | *Anartia fatima* | 1,081 | 52.4% |
-| 8 | *Anartia jatrophae* | 982 | 47.6% |
-
-**Balance Coefficient**: 0.908 (closer to 1.0 = more balanced)
+| Split | Images | Percentage |
+|-------|--------|------------|
+| **Train** | 7,186 | 80% |
+| **Validation** | 899 | 10% |
+| **Test** | 898 | 10% |
 
 ## Applications
 
 This dataset is designed for:
 
-- 🔬 **Biodiversity Research**: Species identification and population monitoring
-- 🌱 **Conservation Biology**: Tracking pollinator populations and habitat changes
-- 📱 **Mobile Applications**: Real-time field identification tools
-- 🎓 **Educational Tools**: Teaching entomology, ecology, and conservation
-- 🤖 **Computer Vision**: Benchmarking classification algorithms
-- 📊 **Citizen Science**: Community-based monitoring and data collection
-- 🌍 **Climate Research**: Understanding pollinator responses to environmental change
+- 🔬 **Biodiversity Research**: Species identification and monitoring
+- 🌱 **Conservation Biology**: Pollinator population studies
+- 📱 **Mobile Applications**: Real-time field identification
+- 🎓 **Educational Tools**: Teaching entomology and ecology
+- 🤖 **Computer Vision**: Benchmarking classification models
 
 ## Benchmarks
 
-### Published Results
-
-Tested with our trained model at [huggingface.co/leonelgv/pollinator-classifier](https://huggingface.co/leonelgv/pollinator-classifier):
-
-| Model | Top-1 Accuracy | Top-5 Accuracy | Parameters | Training Time |
-|-------|----------------|----------------|------------|---------------|
-| **YOLOv8 Nano** | **92.07%** | **99.12%** | 3.2M | 5.1 min |
-| ResNet50 | 89.3% | 97.8% | 25.6M | 12 min |
-| EfficientNet-B0 | 90.1% | 98.1% | 5.3M | 8 min |
-
-### Evaluation Protocol
-
-- **Metric**: Top-1 and Top-5 accuracy
-- **Test Set**: 10% held-out split (414 images)
-- **Hardware**: NVIDIA RTX 2060
-- **Reproducibility**: Fixed random seeds (42)
-
-## Data Collection and Quality
-
-### Collection Methodology
-
-The images were collected from various validated sources:
-- 📸 **Field photography** by certified entomologists
-- 🏛️ **Museum collections** with verified specimens
-- 📚 **Scientific literature** with peer-reviewed identifications
-- 👥 **Citizen science** contributions with expert validation
-
-### Quality Assurance
-
-- ✅ **Expert validation** by entomology specialists
-- ✅ **Taxonomic verification** against current nomenclature
-- ✅ **Image quality control** (resolution, focus, lighting)
-- ✅ **Duplicate detection** using content hashing
-- ✅ **Metadata verification** for accuracy and completeness
-
-### Ethical Considerations
-
-- 🔒 **Privacy protection** for location-sensitive species
-- 📄 **Proper attribution** for all image sources  
-- 🌱 **Conservation focus** supporting pollinator protection
-- 🤝 **Community benefit** through open science
-
-## File Structure
-
-```
-pollinator-insects-dataset/
-├── README.md                    # This documentation
-├── data/
-│   ├── metadata.csv            # Complete metadata
-│   ├── train.csv              # Training split
-│   ├── validation.csv         # Validation split
-│   ├── test.csv               # Test split
-│   ├── class_info.json        # Taxonomic information
-│   └── dataset_stats.json     # Statistics and metrics
-└── images/                     # All image files
-    ├── train_00_0001_a1b2c3d4.jpg
-    ├── train_00_0002_e5f6g7h8.jpg
-    └── ...
-```
-
-## Metadata Fields
-
-Each image record includes comprehensive information:
-
-### Image Information
-- `image_id`: Unique identifier
-- `image_path`: Path to image file
-- `image_filename`: Generated filename
-- `original_filename`: Original source filename
-- `file_hash`: MD5 hash for duplicate detection
-
-### Dataset Organization
-- `split`: Data split (train/validation/test)
-- `label`: Numeric class label (0-9)
-
-### Taxonomic Classification
-- `scientific_name`: Binomial scientific name
-- `common_name`: English common name
-- `family`: Taxonomic family
-- `order`: Taxonomic order
-
-### Ecological Information
-- `pollinator_type`: Role in pollination
-- `habitat`: Primary habitat type
-- `geographic_range`: Natural distribution
-- `conservation_status`: IUCN status
-
-### Technical Properties
-- `image_width`: Width in pixels
-- `image_height`: Height in pixels
-- `image_mode`: Color mode (RGB, etc.)
-- `aspect_ratio`: Width/height ratio
-- `file_size_bytes`: File size
-- `file_size_mb`: File size in MB
+| Model | Top-1 Accuracy | Top-5 Accuracy | Parameters |
+|-------|----------------|----------------|------------|
+| **YOLOv8 Nano** | **92.07%** | **99.12%** | 3.2M |
 
 ## Citation
 
-If you use this dataset in your research, please cite:
-
 ```bibtex
 @dataset{pollinator_insects_2024,
   title={Pollinator Insects Dataset: A Comprehensive Collection for Species Classification},
   author={Leonel Gonzalez Vidales},
   year={2024},
   publisher={Hugging Face},
-  url={https://huggingface.co/datasets/leonelgv/pollinator-insects-dataset},
-  note={Dataset for computer vision research on pollinator species identification}
+  url={https://huggingface.co/datasets/leonelgv/pollinator-insects-dataset}
 }
 ```
 
 ## License
 
-This dataset is released under the **Creative Commons Attribution 4.0 International (CC-BY-4.0)** license.
-
-### You are free to:
-- **Share** — copy and redistribute the material
-- **Adapt** — remix, transform, and build upon the material
-- **Commercial use** — use for any purpose, including commercially
-
-### Under the following terms:
-- **Attribution** — You must give appropriate credit and indicate if changes were made
-- **No additional restrictions** — You may not apply legal terms that legally restrict others
-
-## Acknowledgments
-
-We thank the following contributors and organizations:
-
-- 🔬 **Field researchers** who collected high-quality images
-- 🏛️ **Natural history museums** for specimen access
-- 👨‍🔬 **Entomologists** for taxonomic validation
-- 🌱 **Conservation organizations** supporting pollinator research
-- 🤗 **Hugging Face** for hosting and infrastructure
-- 👥 **Community contributors** for data validation and feedback
+This dataset is released under the **CC-BY-4.0** license.
 
 ## Contact
 
-For questions, suggestions, or collaboration opportunities:
-
 - **Author**: Leonel Gonzalez Vidales
 - **Email**: leonelgv@gmail.com
 - **GitHub**: [l3onet](https://github.com/l3onet)
-- **Hugging Face**: [leonelgv](https://huggingface.co/leonelgv)
-
-### Issues and Contributions
-
-- 🐛 **Report issues**: [GitHub Issues](https://github.com/l3onet/pollinator-classifier/issues)
-- 💡 **Feature requests**: [GitHub Discussions](https://github.com/l3onet/pollinator-classifier/discussions)
-- 🤝 **Contributions**: Pull requests welcome
-
-## Changelog
-
-### Version 1.0.0 (2024-12)
-- Initial release with 2,063 images
-- 10 pollinator species included
-- Balanced train/validation/test splits
-- Complete taxonomic and ecological metadata
-- Quality-controlled expert validation
 
 ---
 
@@ -552,6 +215,6 @@ For questions, suggestions, or collaboration opportunities:
 
 **🌍 Supporting pollinator conservation through open science**
 
-[📊 Dataset](https://huggingface.co/datasets/leonelgv/pollinator-insects-dataset) • [🤖 Model](https://huggingface.co/leonelgv/pollinator-classifier) • [📖 Code](https://github.com/l3onet/pollinator-classifier) • [📧 Contact](mailto:leonelgv@gmail.com)
+[📊 Dataset](https://huggingface.co/datasets/leonelgv/pollinator-insects-dataset) • [🤖 Model](https://huggingface.co/leonelgv/pollinator-classifier)
 
 </div>