Update README.md

README.md

@@ -63,132 +63,18 @@ dataset_info:
       dtype: string
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-# LookBench: Fashion Image Retrieval Benchmark
+## How to Use
 
-<div align="center">
-  <img src="assets/lookbench_banner.png" alt="LookBench Banner" width="800"/>
-</div>
+LookBench is designed for evaluating **fashion image retrieval** models under realistic and contamination-aware settings. Each subset consists of a **query set** and a large **corpus (gallery)** used for retrieval evaluation.
 
-## 📋 Overview
+### 1. Load the Dataset
 
-**LookBench** is a comprehensive benchmark for evaluating fashion image retrieval models. It provides a standardized evaluation framework with multiple difficulty levels and evaluation dimensions.
-
-### Key Features
-
-- 🎨 **Multi-task Evaluation**: 4 distinct retrieval tasks across different scenarios
-- 📊 **Three Evaluation Dimensions**: Coarse Recall, Fine Recall, and Graded NDCG
-- 🔊 **Noise Injection**: Large-scale distractor gallery for realistic evaluation
-- 🏷️ **Rich Metadata**: Category, attributes, bounding boxes, and difficulty levels
-
-## 📁 Dataset Structure
-
-```
-LookBench/
-├── v20251201/                    # Version: December 2024
-│   ├── aigen_streetlook/         # AI-generated street-style images
-│   │   ├── query.parquet
-│   │   └── gallery.parquet
-│   ├── aigen_studio/             # AI-generated studio images
-│   │   ├── query.parquet
-│   │   └── gallery.parquet
-│   ├── real_streetlook/          # Real street-style photos
-│   │   ├── query.parquet
-│   │   └── gallery.parquet
-│   ├── real_studio_flat/         # Real studio flat-lay images
-│   │   ├── query.parquet
-│   │   └── gallery.parquet
-│   └── noise/                    # Distractor images
-│       └── noise_*.parquet
-└── README.md
-```
-
-## 🔢 Data Schema
-
-| Column | Type | Description |
-|--------|------|-------------|
-| `image` | Image | Fashion product image |
-| `category` | string | Product category (e.g., "bag", "dress", "shoes") |
-| `main_attribute` | string | Primary visual attribute (e.g., "crocodile", "striped") |
-| `other_attributes` | string | Additional attributes (comma-separated) |
-| `bbox` | string | Bounding box coordinates [x1, y1, x2, y2] |
-| `item_ID` | string | Unique item identifier |
-| `task` | string | Task name |
-| `difficulty` | string | Difficulty level: "easy", "medium", "hard" |
-
-## 📊 Dataset Statistics
-
-| Task | Query | Gallery | Difficulty Distribution |
-|------|-------|---------|------------------------|
-| AIGen-StreetLook | 160 | 571 | Easy: 30%, Medium: 40%, Hard: 30% |
-| AIGen-Studio | 150 | 520 | Easy: 35%, Medium: 35%, Hard: 30% |
-| Real-StreetLook | 200 | 680 | Easy: 25%, Medium: 45%, Hard: 30% |
-| Real-StudioFlat | 180 | 610 | Easy: 30%, Medium: 40%, Hard: 30% |
-| **Noise** | - | ~57,000 | - |
-
-## 📏 Evaluation Metrics
-
-### 1. Coarse Recall@K
-Category-level matching. Returns 1 if any top-K result has the same category.
-
-### 2. Fine Recall@K
-Category + Main Attribute matching. Stricter criterion requiring both to match.
-
-### 3. Graded NDCG@K
-Full attribute scoring with graded relevance:
-- Base score (1.0) for category + main_attribute match
-- Bonus for each matching `other_attribute`
-
-## 🚀 Quick Start
+You can load LookBench using the 🤗 Datasets library:
 
 ```python
 from datasets import load_dataset
 
-# Load a specific task
-dataset = load_dataset("your-org/LookBench", "aigen_streetlook")
-
-# Access query and gallery splits
-query_data = dataset["query"]
-gallery_data = dataset["gallery"]
-
-# View a sample
-print(query_data[0])
-```
-
-## 📈 Leaderboard
-
-| Rank | Model | Coarse@10 | Fine@10 | NDCG@10 | Avg |
-|------|-------|-----------|---------|---------|-----|
-| 1 | Model A | 85.2 | 72.1 | 68.5 | 75.3 |
-| 2 | Model B | 83.1 | 70.5 | 66.2 | 73.3 |
-| 3 | Model C | 81.5 | 68.2 | 64.1 | 71.3 |
-
-*Submit your results to be included in the leaderboard!*
-
-## 📖 Citation
-
-```bibtex
-@dataset{lookbench2024,
-  title={LookBench: A Comprehensive Benchmark for Fashion Image Retrieval},
-  author={Your Team},
-  year={2024},
-  publisher={Hugging Face},
-  url={https://huggingface.co/datasets/your-org/LookBench}
-}
-```
-
-## 📜 License
-
-This dataset is released under the [Apache 2.0 License](LICENSE).
-
-## 🔗 Links
-
-- [GitHub Repository](https://github.com/your-org/look-bench)
-- [Evaluation Code](https://github.com/your-org/look-bench)
-- [Paper (coming soon)]()
-
----
+dataset = load_dataset("srpone/look-bench")
+print(dataset)
 
-<div align="center">
-  <b>Version:</b> v20251201 | <b>Last Updated:</b> December 2024
-</div>