Link dataset and code pages

README.md

@@ -7,6 +7,11 @@ task_categories:
 
 # Generative Embedding Benchmark
 
+<div align="center">
+  <a href="https://huggingface.co/datasets/LimitedMouse/Generative-Embedding-Benchmark"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dataset-blue" alt="Hugging Face Dataset"></a>
+  <a href="https://github.com/LimitedMouse/Generative-Embedding-Benchmark"><img src="https://img.shields.io/badge/GitHub-Code-lightgrey" alt="GitHub Code"></a>
+</div>
+
 This repository publishes the fixed membership and provenance metadata for the
 Generative Embedding Benchmark (GEB). GEB contains 1,800 development questions
 and 900 held-out test questions, balanced across natural images, scene text, and
@@ -15,7 +20,7 @@ visual documents.
 GEB evaluates how much answer-relevant visual information a dense embedding
 makes accessible to a generative decoder. See the
 [code repository](https://github.com/LimitedMouse/Generative-Embedding-Benchmark)
-for the evaluation pipeline.
+for installation instructions and the evaluation pipeline.
 
 The dataset does not redistribute source images, questions, or answers. The GEB
 task definitions load the eight original public datasets through `lmms-eval` and