README updated.

README.md

@@ -4,3 +4,21 @@ A deep convolutional neural network for multi-frame video interpolation. Based o
 >H. Jiang, D. Sun, V. Jampani, M.-H. Yang, E. Learned-Miller and J. Kautz, "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation," _Proceedings of the The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)_, Salt Lake City, UT, USA, 2018, pp. 9000-9008.
 
 or go to: [arXiv:1712.00080](https://arxiv.org/abs/1712.00080)
+
+The script `download_dataset.sh` downloads two datasets, the Adobe 240-fps dataset and the Need for Speed dataset, that can be used for training the neural network. For more information on these datasets, please see:
+
+>S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich and O. Wang, "Deep Video Deblurring for Hand-Held Cameras," _Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)_, Honolulu, HI, USA, 2017, pp. 237-246.
+
+or go to: [arXiv:1611.08387](https://arxiv.org/abs/1611.08387)
+
+> H. K. Galoogahi, A. Fagg, C. Huang, D. Ramanan and Simon Lucey, "Need for Speed: A Benchmark for Higher Frame Rate Object Tracking," _Proceedings of the IEEE International Conference on Computer Vision (ICCV)_, Venice, Italy, 2017, pp. 1125-1134.
+
+or go to: [arXiv:1703.05884](https://arxiv.org/abs/1703.05884)
+
+In order to download both datasets with the script, just type the following command in a terminal:
+
+```bash
+./download_dataset.sh path_to_folder
+```
+
+where `path_to_folder` is the directory where the dataset should be downloaded. This directory is created if it does not exist.