Update README.md

README.md

@@ -47,12 +47,12 @@ tags:
 
 # NUTSHELL: A Dataset for Abstract Generation from Scientific Talks
 
-This dataset is a multimodal dataset for abstract generation from scientific talks.
-
-
-It provides links to videos of academic presentations from ACL conferences, paired with their corresponding abstracts as well as the audio recordings.
-The goal is to generate concise, informative summaries (abstracts) based on the content.
+Scientific communication is receiving increasing attention in natural language processing, especially to help researches access, summarize, and generate content. 
+One emerging application in this area is Speech-to-Abstract Generation (SAG), which aims to automatically generate abstracts from recorded scientific presentations. 
+SAG enables researchers to efficiently engage with conference talks, but progress has been limited by a lack of large-scale datasets. 
+To address this gap, we introduce NUTSHELL, a novel multimodal dataset of *ACL conference talks paired with their corresponding abstracts. 
 
+More informatation can be found in our paper [NUTSHELL: A Dataset for Abstract Generation from Scientific Talks](https://arxiv.org/abs/2502.16942).
  
 
 ## Dataset Splits
@@ -82,5 +82,14 @@ The goal is to generate concise, informative summaries (abstracts) based on the
 
 
 ## Citation
-
-A dataset paper will be available soon.
+```
+@misc{züfle2025nutshelldatasetabstractgeneration,
+      title={NUTSHELL: A Dataset for Abstract Generation from Scientific Talks}, 
+      author={Maike Züfle and Sara Papi and Beatrice Savoldi and Marco Gaido and Luisa Bentivogli and Jan Niehues},
+      year={2025},
+      eprint={2502.16942},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2502.16942}, 
+}
+```