diff --git a/README.md b/README.md
index 299bf69..e5011b0 100644
--- a/README.md
+++ b/README.md
@@ -18,32 +18,32 @@ Usage
 Run `ttv --help` to get help, or infer what you can from one of these examples:
 
     # Split CSV file into two sets of a fixed number of rows
-    $ ttv split data.csv --rows=train=9000 --rows=test=1000 --uncompressed-input
+    $ ttv split data.csv --rows=train=9000 --rows=test=1000
 
     # Accepts gzipped data (no flag required). Shorthand argument version. As many splits as you like!
-    $ ttv split data.csv.gz --rows=train=65000,validation=15000,test=15000
+    $ ttv split data.csv.gz --rows=train=65000,validation=15000,test=15000 -d
 
-    # Alternatively, specify proportion-based splits. -u is shorthand for --uncompressed-input
-    $ ttv split data.csv --props=train=0.8,test=0.2 -u
+    # Alternatively, specify proportion-based splits.
+    $ ttv split data.csv --prop=train=0.8,test=0.2
 
     # When using proportions, include the total rows to get a progress bar
-    $ ttv split data.csv --props=train=0.8,test=0.2 --total-rows=1234 -u
+    $ ttv split data.csv --prop=train=0.8,test=0.2 --total-rows=1234
 
     # Accepts data from stdin, compressed or not (must give a filename)
     $ cat data.csv | ttv split --rows=test=10000,train=90000 --output-prefix data -u
-    $ cat data.csv.gz | ttv split --rows=test=10000,train=90000 --output-prefix data
+    $ cat data.csv.gz | ttv split --rows=test=10000,train=90000 --output-prefix data -d
 
     # Using pigz for faster decompression
-    $ pigz -dc data.csv.gz | ttv split --prop=test=0.1,train=0.9 --chunk-size 5000 --output-prefix data -u
+    $ pigz -dc data.csv.gz | ttv split --prop=test=0.1,train=0.9 --chunk-size 5000 --output-prefix data
 
     # Split outputs into chunks for faster writing/reading later
-    $ ttv split data.csv.gz --rows=test=100000,train=900000 --chunk-size 5000
+    $ ttv split data.csv.gz --rows=test=100000,train=900000 --chunk-size 5000 -d
 
     # Write outputs uncompressed
-    $ ttv split data.csv.gz --prop=test=0.5,train=0.5 --uncompressed-output
+    $ ttv split data.csv.gz --prop=test=0.5,train=0.5
 
     # Reproducible splits using seed
-    $ ttv split data.csv.gz --prop=test=0.5,train=0.5 --chunk-size 1000 --seed 5330
+    $ ttv split data.csv.gz --prop=test=0.5,train=0.5 --chunk-size 1000 --seed 5330 -d
 
 Development
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