Update README.md

README.md

@@ -7,6 +7,8 @@ configs:
     data_files: "clips/*.tar"
   - config_name: frames
     data_files: "frames/*.tar"
+tags:
+- webdataset
 ---
 # Grounding YouTube Dataset #
 What, when, and where? -- Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions
@@ -63,9 +65,9 @@ For pointwise accuracy, a prediction is considered correct if the predicted poin
 [Visualization](https://huggingface.co/datasets/CVML-TueAI/grounding-YT-dataset/tree/main/visualization) contains scripts to generate frames with the ground truth box and the predicted point. 
 One should follow the prediction json format given in random_preds.json files. Here are a few visualizations generated:
 
-
+## Citation Information
 If you're using GroundingYouTube in your research or applications, please cite using this BibTeX:
-```
+```bibtex
 @InProceedings{Chen_2024_CVPR,
     author    = {Chen, Brian and Shvetsova, Nina and Rouditchenko, Andrew and Kondermann, Daniel and Thomas, Samuel and Chang, Shih-Fu and Feris, Rogerio and Glass, James and Kuehne, Hilde},
     title     = {What When and Where? Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions},