Update first example.

README.md

@@ -41,13 +41,9 @@ pip install vendi_score[all]
 ```
 To calculate the score, pass a list of samples and a similarity function or a string identifying a predefined class of similarity functions (see below).
 ```
->>> vendiscore = evaluate.load("Vertaix/vendiscore")
->>> samples = ["Look, Jane.",
-               "See Spot.",
-               "See Spot run.",
-               "Run, Spot, run.",
-	       "Jane sees Spot run."]
->>> results = vendiscore.compute(samples=samples, k="ngram_overlap", ns=[1, 2])
+>>> vendiscore = evaluate.load("Vertaix/vendiscore", "text")
+>>> sents = ["Look, Jane.", "See Spot.", "See Spot run.", "Run, Spot, run.", "Jane sees Spot run."]
+>>> results = vendiscore.compute(samples=sents, k="ngram_overlap", ns=[1, 2])
 >>> print(results)
 {'VS': 3.90657...}
 ```