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}}