Update Space (evaluate main: e179b5b8)

README.md

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 ---
 title: METEOR
-emoji: 🤗
+emoji: 🤗 
 colorFrom: blue
 colorTo: red
 sdk: gradio
@@ -8,41 +8,10 @@ sdk_version: 3.0.2
 app_file: app.py
 pinned: false
 tags:
-  - evaluate
-  - metric
-description: >-
-  METEOR, an automatic metric for machine translation evaluation
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-  that is based on a generalized concept of unigram matching between the
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-  machine-produced translation and human-produced reference translations.
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-  Unigrams can be matched based on their surface forms, stemmed forms,
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-  and meanings; furthermore, METEOR can be easily extended to include more
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-  advanced matching strategies. Once all generalized unigram matches
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-  between the two strings have been found, METEOR computes a score for
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-  this matching using a combination of unigram-precision, unigram-recall, and
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-  a measure of fragmentation that is designed to directly capture how
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-  well-ordered the matched words in the machine translation are in relation
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-  to the reference.
-
-
-  METEOR gets an R correlation value of 0.347 with human evaluation on the
-  Arabic
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-  data and 0.331 on the Chinese data. This is shown to be an improvement on
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-  using simply unigram-precision, unigram-recall and their harmonic F1
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-  combination.
+- evaluate
+- metric
 ---
+
 # Metric Card for METEOR
 
 ## Metric description