Create README.md

README.md

@@ -0,0 +1,28 @@
+---
+license: mit
+task_categories:
+- zero-shot-classification
+size_categories:
+- n<1K
+---
+
+# MMVP-VLM Benchmark Datacard
+
+## Basic Information
+
+**Title:** MMVP-VLM Benchmark
+
+**Description:** The MMVP-VLM (Multimodal Visual Patterns - Visual Language Models) Benchmark is designed to systematically evaluate the performance of recent CLIP-based models in understanding and processing visual patterns. It distills a subset of questions from the original MMVP benchmark into simpler language descriptions, categorizing them into distinct visual patterns. Each visual pattern is represented by 15 text-image pairs. The benchmark assesses whether CLIP models can accurately match these image-text combinations, providing insights into the capabilities and limitations of these models.
+
+## Dataset Details
+
+- **Content Types:** Text-Image Pairs
+- **Volume:** Balanced number of questions for each visual pattern, with each pattern represented by 15 pairs. 
+- **Source of Data:** Subset from MMVP benchmark, supplemented with additional questions for balance
+- **Data Collection Method:** Distillation and categorization of questions from MMVP benchmark into simpler language
+
+## Usage
+
+### Intended Use
+
+- Evaluation of CLIP models' ability to understand and process various visual patterns.