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Update README.md

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  1. README.md +4 -4
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@@ -10,14 +10,14 @@ datasets:
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  widget:
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  - text: "i can has cheezburger"
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  example_title: "cheezburger"
 
 
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  - text: "so em if we have an now so with fito ringina know how to estimate the tren given the ereafte mylite trend we can also em an estimate is nod s
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  i again tort watfettering an we have estimated the trend an
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  called wot to be called sthat of exty right now we can and look at
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  wy this should not hare a trend i becan we just remove the trend an and we can we now estimate
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  tesees ona effect of them exty"
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  example_title: "Transcribed Audio Example 2"
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- - text: "I would like a peice of pie."
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- example_title: "miss-spelling"
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  - text: "My coworker said he used a financial planner to help choose his stocks so he wouldn't loose money."
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  example_title: "incorrect word choice (context)"
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  - text: "good so hve on an tadley i'm not able to make it to the exla session on monday this week e which is why i am e recording pre recording
@@ -26,8 +26,8 @@ ta ohow to remove trents in these nalitives from time series"
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  example_title: "lowercased audio transcription output"
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  - text: "Frustrated, the chairs took me forever to set up."
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  example_title: "dangling modifier"
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- - text: "There car broke down so their hitching a ride to they're class."
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- example_title: "compound-1"
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  - text: "Which part of Zurich was you going to go hiking in when we were there for the first time together? ! ?"
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  example_title: "chatbot on Zurich"
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10
  widget:
11
  - text: "i can has cheezburger"
12
  example_title: "cheezburger"
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+ - text: "There car broke down so their hitching a ride to they're class."
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+ example_title: "compound-1"
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  - text: "so em if we have an now so with fito ringina know how to estimate the tren given the ereafte mylite trend we can also em an estimate is nod s
16
  i again tort watfettering an we have estimated the trend an
17
  called wot to be called sthat of exty right now we can and look at
18
  wy this should not hare a trend i becan we just remove the trend an and we can we now estimate
19
  tesees ona effect of them exty"
20
  example_title: "Transcribed Audio Example 2"
 
 
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  - text: "My coworker said he used a financial planner to help choose his stocks so he wouldn't loose money."
22
  example_title: "incorrect word choice (context)"
23
  - text: "good so hve on an tadley i'm not able to make it to the exla session on monday this week e which is why i am e recording pre recording
 
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  example_title: "lowercased audio transcription output"
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  - text: "Frustrated, the chairs took me forever to set up."
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  example_title: "dangling modifier"
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+ - text: "I would like a peice of pie."
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+ example_title: "miss-spelling"
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  - text: "Which part of Zurich was you going to go hiking in when we were there for the first time together? ! ?"
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  example_title: "chatbot on Zurich"
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