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Update README.md

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@@ -182,7 +182,7 @@ Please refer to the documentation of SerpApi's Google Local API and Google Local
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  <li>Button text like "Delivery" could be considered <code>service_options</code>. However, this can be easily avoided by checking if a text is in a button in the traditional part of the code. The button text is only used for emergency cases.</li>
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  <li>The model does not classify the title of a place. This is because the title often contains many elements that can be easily confused with other parts, even for a human eye.</li>
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  <li>The <code>label</code> key is not covered by the model, as it can be easily handled with traditional code.</li>
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- <li>In some cases, the model may classify a portion of the description as <code>hours</code> if the description is about operating hours. For example:
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  <ul style="list-style-type: disc;">
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  <li><code>"Drive through: Open ⋅ Closes 12 AM"</code>
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  <ul style="list-style-type: circle">
@@ -192,6 +192,26 @@ Please refer to the documentation of SerpApi's Google Local API and Google Local
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  </li>
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  </ul>
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  </li>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  <li>The model may be susceptible to error in one word entries. This is a minority of the cases, and it could be fixed with assurance scores.For Example:
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  <ul style="list-style-type: circle">
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  <li><code>"Sushi"</code> &rarr; <code>address(0.984), type(0.0493) [Correct Label is type]</code></li>
 
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  <li>Button text like "Delivery" could be considered <code>service_options</code>. However, this can be easily avoided by checking if a text is in a button in the traditional part of the code. The button text is only used for emergency cases.</li>
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  <li>The model does not classify the title of a place. This is because the title often contains many elements that can be easily confused with other parts, even for a human eye.</li>
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  <li>The <code>label</code> key is not covered by the model, as it can be easily handled with traditional code.</li>
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+ <li>In some cases, the model may classify a portion of the <code>description</code> as <code>hours</code> if the description is about operating hours. For example:
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  <ul style="list-style-type: disc;">
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  <li><code>"Drive through: Open ⋅ Closes 12 AM"</code>
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  <ul style="list-style-type: circle">
 
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  </li>
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  </ul>
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  </li>
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+ <li>In some cases, the model may classify some <code>description</code> as <code>type</code>. This is because some description do look like type. For Example:
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+ <ul style="list-style-type: circle">
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+ <li><code>"Iconic Seattle-based coffeehouse chain"</code> &rarr; <code>type [Correct Label is description]</code></li>
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+ </ul>
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+ </li>
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+ <li>In some cases, the model may classify some <code>reviews</code> as <code>rating</code>. This is most likely a deficiency in the training dataset, and may be resolved in the coming versions. For Example:
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+ <ul style="list-style-type: circle">
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+ <li><code>"Expand more"</code> &rarr; <code>hours [Correct Label is button text]</code></li>
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+ </ul>
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+ </li>
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+ <li>In some cases, the model may classify some <code>service options</code> as <code>type</code>. This is most likely a deficiency in the training dataset, and may be resolved in the coming versions. For Example:
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+ <ul style="list-style-type: circle">
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+ <li><code>"Takeaway"</code> &rarr; <code>type [Correct Label is service options]</code></li>
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+ </ul>
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+ </li>
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+ <li>In some cases, the model may classify some <code>button text</code> as <code>hours</code>. This is most likely a deficiency in the training dataset, and may be resolved in the coming versions. For Example:
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+ <ul style="list-style-type: circle">
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+ <li><code>"(1.4K)"</code> &rarr; <code>rating [Correct Label is reviews]</code></li>
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+ </ul>
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+ </li>
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  <li>The model may be susceptible to error in one word entries. This is a minority of the cases, and it could be fixed with assurance scores.For Example:
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  <ul style="list-style-type: circle">
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  <li><code>"Sushi"</code> &rarr; <code>address(0.984), type(0.0493) [Correct Label is type]</code></li>