Update README.md

README.md

@@ -49,7 +49,7 @@ dataset_info:
     num_bytes: 612243.5428309665
     num_examples: 219
   download_size: 2551503
-  dataset_size: 6102866.0
+  dataset_size: 6102866
 configs:
 - config_name: default
   data_files:
@@ -57,13 +57,15 @@ configs:
     path: data/train-*
   - split: test
     path: data/test-*
+license: mit
+pretty_name: Long Term Memorability of Advertisements (LAMBDA)
 ---
 
 
 ## Dataset Description
 
 - **Website:** https://behavior-in-the-wild.github.io/memorability.html
-- **Paper:** https://arxiv.org/pdf/2309.00378
+- **Paper:** https://arxiv.org/abs/2309.00378
 
 ### Dataset Summary
 LAMDBA is a long term ad memorability dataset, featuring data from 1749 participants and 2205 ads across 276 brands.
@@ -94,3 +96,12 @@ DatasetDict({
 - `youtube_id`: youtube id for the video
 - `ad_details`: scene by scene features for each video
 
+## Citation
+@misc{s2024longtermadmemorabilityunderstanding,
+            title={Long-Term Ad Memorability: Understanding and Generating Memorable Ads}, 
+            author={Harini S I au2 and Somesh Singh and Yaman K Singla and Aanisha Bhattacharyya and Veeky Baths and Changyou Chen and Rajiv Ratn Shah and Balaji Krishnamurthy},
+            year={2024},
+            eprint={2309.00378},
+            archivePrefix={arXiv},
+            primaryClass={cs.CL},
+            url={https://arxiv.org/abs/2309.00378}}