Update README.md

README.md

@@ -17,28 +17,6 @@ size_categories:
 # Dataset Card for All-Angles Bench
 
 
-## Dataset Description
-
-<!-- Provide a longer summary of what this dataset is. -->
-The dataset presents a comprehensive benchmark consistin---
-license: mit
-language:
-- en
-size_categories:
-- 1K<n<10K
----
-
-<h1>Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs</h1>
-
-
-<a href='https://danielchyeh.github.io/All-Angles-Bench/'><img src='https://img.shields.io/badge/Project-Page-Green'></a> 
-<a href='https://arxiv.org/pdf/2504.15280'><img src='https://img.shields.io/badge/Paper-PDF-orange'></a>
-<a href='https://arxiv.org/abs/2504.15280'><img src='https://img.shields.io/badge/Arxiv-Page-purple'></a>
-<a href="https://github.com/Chenyu-Wang567/All-Angles-Bench/tree/main"><img src='https://img.shields.io/badge/Code-Github-red'></a>
-
-# Dataset Card for All-Angles Bench
-
-
 ## Dataset Description
 
 <!-- Provide a longer summary of what this dataset is. -->
@@ -53,15 +31,6 @@ The dataset presents a comprehensive benchmark consisting of over 2,100 human-an
 - **[Ego-Exo4D](https://github.com/facebookresearch/Ego4d)** - Large-scale egocentric and exocentric video dataset for multi-person interaction understanding
 
 
-## Usage
-
-```python
-from datasets import load_dataset
-
-dataset = load_dataset("ch-chenyu/All-Angles-Bench")
-```
-
-
 ## Prepare Full Benchmark Data on Local Machine
 
 1. **Set up Git lfs and clone the benchmark:**
@@ -97,7 +66,6 @@ $ python All-Angles-Bench/scripts/json2tsv_pair.py --input All-Angles-Bench/data
 
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
 
-
 The JSON data contains the following key-value pairs:
 
 | Key              | Type       | Description                                                                 |
@@ -113,72 +81,6 @@ The JSON data contains the following key-value pairs:
 | `sourced_dataset`| String     | Source dataset name (e.g. `"EgoHumans"`)                                    |
 
 
-
-
-
-## Citation 
-
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
-
-```bibtex
-@article{yeh2025seeing,
-  title={Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs},
-  author={Chun-Hsiao Yeh, Chenyu Wang, Shengbang Tong, Ta-Ying Cheng, Ruoyu Wang, Tianzhe Chu, Yuexiang Zhai, Yubei Chen, Shenghua Gao and Yi Ma},
-  journal={arXiv preprint arXiv:2504.15280},
-  year={2025}
-}
-```
-
-## Acknowledgements
-You may refer to related work that serves as foundations for our framework and code repository, 
-[EgoHumans](https://github.com/rawalkhirodkar/egohumans),
-[Ego-Exo4D](https://github.com/facebookresearch/Ego4d),
-[VLMEvalKit](https://github.com/open-compass/VLMEvalKit).
-Thanks for their wonderful work and data.g of over 2,100 human-annotated multi-view question-answer (QA) pairs, spanning 90 real-world scenes. Each scene is captured from multiple viewpoints, providing diverse perspectives and context for the associated questions.
-
-
-## Dataset Sources
-
-<!-- Provide the basic links for the dataset. -->
-
-- **[EgoHumans](https://github.com/rawalkhirodkar/egohumans)** - Egocentric multi-view human activity understanding dataset
-- **[Ego-Exo4D](https://github.com/facebookresearch/Ego4d)** - Large-scale egocentric and exocentric video dataset for multi-person interaction understanding
-
-
-## Usage
-
-```python
-from datasets import load_dataset
-
-dataset = load_dataset("ch-chenyu/All-Angles-Bench")
-```
-
-We provide the image files for the EgoHumans dataset. For the Ego-Exo4D dataset, due to licensing restrictions, you will need to first sign the license agreement from the official Ego-Exo4D repository at https://ego4ddataset.com/egoexo-license/. After signing the license, you can download the dataset and then use the preprocessing scripts provided in our GitHub repository to extract the corresponding images.
-
-
-## Dataset Structure
-
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-
-
-The JSON data contains the following key-value pairs:
-
-| Key              | Type       | Description                                                                 |
-|------------------|------------|-----------------------------------------------------------------------------|
-| `index`          | Integer    | Unique identifier for the data entry (e.g. `1221`)                          |
-| `folder`         | String     | Directory name where the scene is stored (e.g. `"05_volleyball"`)           |
-| `category`       | String     | Task category (e.g. `"counting"`)                                           |
-| `pair_idx`       | String     | Index of a corresponding paired question (if applicable)                    |
-| `image_path`     | List       | Array of input image paths                                                  |
-| `question`       | String     | Natural language query about the scene                                      |
-| `A`/`B`/`C`      | String     | Multiple choice options                                                     |
-| `answer`         | String     | Correct option label (e.g. `"B"`)                                           |
-| `sourced_dataset`| String     | Source dataset name (e.g. `"EgoHumans"`)                                    |
-
-
-
-
-
 ## Citation 
 
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->