Update Space (evaluate main: e179b5b8)

README.md

@@ -1,6 +1,6 @@
 ---
 title: TER
-emoji: 🤗
+emoji: 🤗 
 colorFrom: blue
 colorTo: red
 sdk: gradio
@@ -8,34 +8,10 @@ sdk_version: 3.0.2
 app_file: app.py
 pinned: false
 tags:
-  - evaluate
-  - metric
-description: >-
-  TER (Translation Edit Rate, also called Translation Error Rate) is a metric to
-  quantify the edit operations that a
-
-  hypothesis requires to match a reference translation. We use the
-  implementation that is already present in sacrebleu
-
-  (https://github.com/mjpost/sacreBLEU#ter), which in turn is inspired by the
-  TERCOM implementation, which can be found
-
-  here: https://github.com/jhclark/tercom.
-
-
-  The implementation here is slightly different from sacrebleu in terms of the
-  required input format. The length of
-
-  the references and hypotheses lists need to be the same, so you may need to
-  transpose your references compared to
-
-  sacrebleu's required input format. See
-  https://github.com/huggingface/datasets/issues/3154#issuecomment-950746534
-
-
-  See the README.md file at https://github.com/mjpost/sacreBLEU#ter for more
-  information.
+- evaluate
+- metric
 ---
+
 # Metric Card for TER
 
 ## Metric Description