Merge pull request #2 from morpheus1820/fixes

dataset.html

@@ -112,22 +112,21 @@ <h1 class="title is-2 publication-title">Dataset
       <div class="columns is-centered ">
 
         <div class="column is-full">
-          <h2 class="title is-4">R2R-IE-CE v1<span class="tag is-warning is-light">Available upon acceptance</span></h2>
+          <h2 class="title is-4">R2R-IE-CE v1<span class="tag is-warning is-light">To be released</span></h2>
 
           <div class="content has-text-justified">
             <p>
               This dataset is used to benchmark the task of <i>Detection and Localization of Instruction Errors</i>, presented in our paper.
-              You will find the dataset explanation here, as well as the Habitat Integration to use it.
+              You will find the dataset explanation here, as well as the Habitat integration tools to use it.
             </p>
           </div>
 
-          <h5 class="title is-5">Val Unseen</h5>
-          <p>Here we show how our json.gz dataset are formed:</p>
+          <h5 class="title is-5">Format of {split}_bertidx.json.gz</h5>
 
           <pre><code class="language-json line-numbers">
 {"episodes": [
 {
-  "episode_id": "//integer number",
+  "episode_id": "integer number representing an episode id",
   "trajectory_id": "integer number representing the gt trajectory",
   "scene_id": "string representing the scene",
   "start_position": "list of float representing the start position",
@@ -143,10 +142,10 @@ <h5 class="title is-5">Val Unseen</h5>
     "error_type": "integer representing the error type",
     "token_swapped": [
     {
+      "old_word": "string representing the old word",
       "new_word": "string representing the new word",
       "token_id" : ["list of bert token id of this word"],
       "token_id_position": ["list of integer representing the index of the swapped words in the new instruction"],
-      "old_word": "string representing the old word",
     }]
   }
   "old_episode_id": "integer number representing the episode id from which this episode was generated"
@@ -157,7 +156,7 @@ <h5 class="title is-5">Val Unseen</h5>
 ]}
           </code></pre>
 
-          <h5 class="title is-5">Habitat Integration</h5>
+          <h5 class="title is-5">Habitat integration</h5>
           <p>In Progress</p>
         </div>
 

index.html

@@ -137,15 +137,15 @@ <h1 class="title is-1 publication-title">
                     <span class="icon">
                       <i class="fab fa-github"></i>
                     </span>
-                    <span>Code (upon acceptance)</span>
+                    <span>Code (to be released)</span>
                   </a>
                 </span>
                 <span class="link-block">
                   <a href="dataset.html" class="external-link button is-normal is-rounded is-dark">
                     <span class="icon">
                       <i class="fas fa-database"></i>
                     </span>
-                    <span>Dataset (upon acceptance)</span>
+                    <span>Dataset (to be released)</span>
                   </a>
                 </span>
 
@@ -236,9 +236,9 @@ <h2 class="title is-3">Scenario</h2>
       <hr>
       <div class="is-full">
         <h3 class="title is-3">Effect of Direction error</h3>
-        <p>We reported the scenario depicted in the <b>Fig.1</b> of the paper (also reported in the <i>Scenario</i>
-          Section above).</p>
-        The videos shows the full trajectories of the agent following the perturbed and correct instructions.
+        <p>We show the full episode for the example reported in the <i>Scenario</i>
+          section above (also <b>Fig.1</b> in the paper).</p>
+        The videos shows the agent following the perturbed and correct instructions respectively.
 
         <div class="columns is-desktop">
 
@@ -329,14 +329,13 @@ <h3 class="title is-3">IEDL for detecting <span style="color: red;">errors</span
 
 
           </h3>
-          <p>In our paper, we answered the following question: <i><b>What if we apply <b>IEDL</b> on the R2R-CE
+          <p>We answer the following question: <i><b>What if we apply <b>IEDL</b> on the R2R-CE
                 dataset?</i></b>
           </p>
-          <p>Our method, <b>IEDL</b>, detected 8 episodes from R2R-CE standard Val Unseen dataset that should be
-            deleted.</p>
-          <p>Here, we report the video showing the trajectories of these particular episodes.</p>
+          <p>Our method helped to detect 8 episodes from R2R-CE Val Unseen dataset that present different issues.</p>
+          <p>Here we show the BEVBert trajectories for these episodes, as well as the detected issue.</p>
           <br>
-          <b>Note</b>: we report the instruction as given in the dataset.
+          <b>Note</b>: any typos in the instructions are reported verbatim from the dataset.
 
           <div class="columns is-desktop">
             <!-- video one -->

rxr_videos.html

@@ -120,10 +120,11 @@ <h3 class="title is-3 publication-title">
 
 
             <!-- RXR-CE -->
-            <div class="is-full">
-
-                <p>We report also the episode to be removed from the validation split of RxR-CE.</p>
-
+            <div class="is-full">                
+              <p>Our method helped to detect 10 episodes from RxR-CE Val Unseen dataset that present different issues.</p>
+              <p>Here we show the BEVBert trajectories for these episodes, as well as the detected error.</p>
+              <br>
+              <b>Note</b>: any typos in the instructions are reported verbatim from the dataset.    
             </div>
 
             <div class="columns">