Update README

README.md

@@ -28,14 +28,6 @@ This is a dataset to reproduce our work, "A Multimodal Benchmark for Framing of
 
 ### Dataset Description
 
-Companies spend large amounts of money on public relations campaigns to project a positive brand image.
-However, sometimes there is a mismatch between what they say and what they do. Oil and gas companies, for example, are accused of ``greenwashing'' with imagery of climate-friendly initiatives.
-Understanding the framing, and changes in framing, at scale can help better understand the goals and nature of public relation campaigns.
-To address this, we introduce a benchmark dataset of expert-annotated video ads obtained from Facebook and YouTube.
-The dataset provides annotations for 13 framing types for more than 50 companies or advocacy groups across 21 countries.
-Our dataset is especially designed for the evaluation of vision-language models (VLMs), distinguishing it from past text-only framing datasets.
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 - **Curated by:** The authors of the paper.
 - **Language(s) (NLP):** Videos are usually in English, while a small portion of videos contain non-English languages such as Japanese.
 - **License:** CC BY-NC 4.0. This license only applies to our contributions. We do not retain rights of the sourced artifcats such as the video content.