Update README.md

README.md

@@ -1,3 +1,66 @@
----
-license: cc-by-sa-4.0
----
+---
+license: cc-by-sa-4.0
+task_categories:
+- zero-shot-classification
+language:
+- en
+pretty_name: ' simco-comco'
+size_categories:
+- 10K<n<100K
+---
+# **ComCo & SimCo Datasets**
+
+## **Overview**
+This repository contains two datasets, **ComCo** and **SimCo**, designed for evaluating multi-object representation in Vision-Language Models (VLMs). These datasets provide controlled environments for analyzing model biases, object recognition, and compositionality in multi-object scenarios.
+
+- **ComCo**: Composed of real-world objects derived from the COCO dataset.
+- **SimCo**: Contains simple geometric shapes in structured multi-object settings.
+
+---
+
+## **ComCo Dataset**
+The **ComCo** (Complex COCO Objects) dataset consists of images featuring **2 to 5 objects** from the **COCO dataset**. Each zip file contains different arrangements of objects with variations in:
+- **Size** (e.g., large vs. small objects)
+- **Position** (top-left, middle, bottom-right, etc.)
+
+ComCo is specifically designed to test VLMs on real-world objects, allowing precise control over object placement and ensuring a systematic evaluation of compositional understanding.
+
+## **SimCo Dataset**
+The **SimCo** (Simple Compositional Objects) dataset consists of synthetic images featuring **geometric shapes** such as:
+- **Cubes**
+- **Spheres**
+- **Cylinders**
+- **Triangles**
+- **Pentagons**
+
+SimCo is used to **isolate model biases** by removing real-world semantics, enabling controlled evaluation of how VLMs process object interactions purely based on **size, shape, and position**.
+
+## **Usage**
+These datasets are useful for:
+- **Analyzing VLM biases** (e.g., preference for larger objects)
+- **Compositionality testing** (how models handle multiple objects in images)
+- **Zero-shot & fine-tuning tasks** (evaluating robustness of vision-language embeddings)
+
+### **Loading with Hugging Face `datasets` Library**
+You can load the dataset directly using:
+```python
+from datasets import load_dataset
+
+# Load ComCo dataset
+comco = load_dataset("clip-oscope/simco-comco", data_dir="ComCo")
+
+# Load SimCo dataset
+simco = load_dataset("clip-oscope/simco-comco", data_dir="SimCo")
+
+```
+## **Citation**
+If you use this dataset in your research, please cite:
+```
+@inproceedings{abbasi2025clip,
+  title={CLIP Under the Microscope: A Fine-Grained Analysis of Multi-Object Representation},
+  author={Abbasi, Reza and Nazari, Ali and Sefid, Aminreza and Banayeeanzade, Mohammadali and Rohban, Mohammad Hossein and Soleymani Baghshah, Mahdieh},
+  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year={2025}
+}
+
+```