update readme

README.md

@@ -12,37 +12,6 @@ This repository contains the official implementation of our [paper](https://arxi
 **"Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy"**
 accepted to ICLR 2024.
 
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-- [oVQA: Open-ended Visual Question Answering](#ovqa-open-ended-visual-question-answering)
-  - [News](#news)
-  - [Setup](#setup)
-    - [Python environment](#python-environment)
-    - [Notes](#notes)
-    - [Setup the paths](#setup-the-paths)
-    - [Setup datasets](#setup-datasets)
-      - [Imagenet](#imagenet)
-      - [ActivityNet](#activitynet)
-      - [COCO](#coco)
-      - [OVAD](#ovad)
-      - [VQAv2](#vqav2)
-      - [GQA](#gqa)
-    - [Setup model outputs](#setup-model-outputs)
-    - [Setup model checkpoints](#setup-model-checkpoints)
-      - [LLaVA-7B-v0](#llava-7b-v0)
-      - [X2VLM](#x2vlm)
-      - [Test model setup](#test-model-setup)
-    - [Setup metrics](#setup-metrics)
-      - [Installing and running BEM metric](#installing-and-running-bem-metric)
-  - [Running](#running)
-  - [Dev commands](#dev-commands)
-  - [Licenses](#licenses)
-  - [Acknowledgements](#acknowledgements)
-  - [Citation](#citation)
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 ## News
 
 February 2024: Code release.