Update README.md

README.md

@@ -11,7 +11,7 @@ MemStream augments a representation learning algorithm like PCA, IB and AutoEnco
 5. SYN: Run `python3 memstream-syn.py --dataset SYN --beta 1 --memlen 16` 
 
 ## Command line options
-  * `--dataset`: The dataset to be used for training. Choices 'NSL', 'KDD', 'UNSW', 'DOS' and 'IDS'. (default 'NSL')
+  * `--dataset`: The dataset to be used for training. Choices 'NSL', 'KDD', 'UNSW', 'DOS'. (default 'NSL')
   * `--beta`: The threshold beta to be used. (default: 1e-3)
   * `--dim`: The dimensionality of the representations learnt by the representation learning algorithm (default: 12)
   * `--memlen`: The size of the Memory Module (default: 512)
@@ -27,8 +27,7 @@ MemStream expects the input multi-aspect record stream to be stored in a contain
 2. [UNSW-NB 15](https://www.unsw.adfa.edu.au/unsw-canberra-cyber/cybersecurity/ADFA-NB15-Datasets/)
 3. [KDDCUP99](http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html)
 4. [NSL-KDD](https://www.unb.ca/cic/datasets/nsl.html)
-5. [ISCX2012](https://www.unb.ca/cic/datasets/ids.html) -- Not included in the folder due to space limitation
-6. Synthetic Dataset
+5. Synthetic Dataset
 
 ## Environment
-This code has been tested on Debian GNU/Linux 9 with a 12GB Nvidia GeForce RTX 2080 Ti GPU, CUDA Version 10.2 and PyTorch 1.5.
+This code has been tested on Debian GNU/Linux 9 with a 12GB Nvidia GeForce RTX 2080 Ti GPU, CUDA Version 10.2 and PyTorch 1.5.