Update README.md

README.md

@@ -32,7 +32,7 @@ language:
 license: apache-2.0
 ---
 
-This is a [AfriCOMET-QE-STL (single task)](https://github.com/masakhane-io/africomet) evaluation model: It receives a triplet with (source sentence, translation, reference translation) and returns a score that reflects the quality of the translation compared to both source and reference.
+This is a [AfriCOMET-QE-STL (quality estimation single task)](https://github.com/masakhane-io/africomet) evaluation model: It receives a source sentence, and a translation, and returns a score that reflects the quality of the translation compared to the source.
 
 # Paper
 
@@ -54,7 +54,7 @@ pip install unbabel-comet
 Then you can use it through comet CLI:
 
 ```bash
-comet-score -s {source-inputs}.txt -t {translation-outputs}.txt -r {references}.txt --model masakhane/africomet-qe-stl
+comet-score -s {source-inputs}.txt -t {translation-outputs}.txt --model masakhane/africomet-qe-stl
 ```
 
 Or using Python:
@@ -68,12 +68,10 @@ data = [
     {
         "src": "Nadal sàkọọ́lẹ̀ ìforígbárí o ní àmì méje sóódo pẹ̀lú ilẹ̀ Canada.",
         "mt": "Nadal's head to head record against the Canadian is 7–2.",
-        "ref": "Nadal scored seven unanswered points against Canada."
     },
     {
         "src": "Laipe yi o padanu si Raoniki ni ere Sisi Brisbeni.",
         "mt": "He recently lost against Raonic in the Brisbane Open.",
-        "ref": "He recently lost to Raoniki in the game Sisi Brisbeni."
     }
 ]
 model_output = model.predict(data, batch_size=8, gpus=1)
@@ -82,9 +80,9 @@ print (model_output)
 
 # Intended uses
 
-Our model is intented to be used for **MT evaluation**. 
+Our model is intented to be used for **MT quality estimation**. 
 
-Given a a triplet with (source sentence, translation, reference translation) outputs a single score between 0 and 1 where 1 represents a perfect translation. 
+Given a source sentence and a translation outputs a single score between 0 and 1 where 1 represents a perfect translation. 
 
 # Languages Covered: