Update README.md

README.md

@@ -71,7 +71,7 @@ int main() {
 
 This builds a command line interface `./build/arbok-cli`, which accepts the following options.
 ```
-./build/arbok-cli input ../data/konect/slashdot-zoo.soap algo pq giantCC 0 check 1 
+./build/arbok-cli -input ../data/konect/slashdot-zoo.soap -algo pq -giantCC 0 -check 1 
 ```
 Order does not matter and all arguments are optional.
 The above command contains their defaults if omitted. 
@@ -98,14 +98,29 @@ Then, for each edge there follows a line with the two endpoints and (if weighted
 The cli recognizes weighted graphs by their file ending in `.wsoap` :)
 If the graph is not weighted, it gets uniform random weights in the range [1,20].
 Indices should be zero-based.
+```
+6 5
+1 2 3
+1 3 2
+2 3 4
+2 5 1
+3 4 2
+5 3 8
+```
 
 ### Output Format
 For the output format (see `outfile` option), each line contains the index of an edge that is part of the solution. 
 Edge indices are determined by the order of edges in the input.
 Indices are zero-based.
 Note that `giantCC` changes edge indices.
 If you want more control over this use the C++ library directly.
-
+```
+3      --input[3] = (2,5)
+4      --input[4] = (3,4)
+1      --input[1] = (1,3)
+0      --input[0] = (1,2)
+5      --input[5] = (5,3)
+```
 
 # Data for Experiments
 
@@ -114,4 +129,4 @@ There is a makefile (`./data/Makefile`) which has one target per dataset.
 Since our initial crawl of networkrepository, they changed their query limit and scripts will probably not work for this dataset anymore. 
 Howerever, there is an archive with the resulting graphs.
 The girgs dataset requires the [generator by Bläsius et al](https://github.com/chistopher/girgs). 
-Depending on your installation you might need to adjust the path to the generator in the `data/girgs_generate.py` script.
+Depending on your installation you might need to adjust the path to the generator in the `data/girgs_generate.py` script.