Update README.md

README.md

@@ -47,7 +47,7 @@ text = "Angela Merkel is a politician in Germany and leader of the CDU"
 hypothesis_template = "This text is about {}"
 classes_verbalized = ["politics", "economy", "entertainment", "environment"]
 zeroshot_classifier = pipeline("zero-shot-classification", model="MoritzLaurer/deberta-v3-large-zeroshot-v2.0")  # change the model identifier here
-output = zeroshot_classifier(text, classes_verbalised, hypothesis_template=hypothesis_template, multi_label=False)
+output = zeroshot_classifier(text, classes_verbalized, hypothesis_template=hypothesis_template, multi_label=False)
 print(output)
 ```
 
@@ -97,7 +97,7 @@ The main reference point is `facebook/bart-large-mnli` which is, at the time of
 
 These numbers indicate zeroshot performance, as no data from these datasets was added in the training mix. 
 Note that models without a "`-c`" in the title were evaluated twice: one run without any data from these 28 datasets to test pure zeroshot performance (the first number in the respective column) and 
-the final run including up to 500 training data points per class from each of the 28 datasets (the second number in brackets in the column). No model was trained on test data.
+the final run including up to 500 training data points per class from each of the 28 datasets (the second number in brackets in the column, "fewshot"). No model was trained on test data.
 
 Details on the different datasets are available here: https://github.com/MoritzLaurer/zeroshot-classifier/blob/main/v1_human_data/datasets_overview.csv