[automated] Update metadata from Papers with Code

data/xml/2020.emnlp.xml

@@ -2361,7 +2361,7 @@
       <doi>10.18653/v1/2020.emnlp-main.154</doi>
       <video href="https://slideslive.com/38939165"/>
       <bibkey>nangia-etal-2020-crows</bibkey>
-      <pwccode url="https://github.com/nyu-mll/crows-pairs" additional="false">nyu-mll/crows-pairs</pwccode>
+      <pwccode url="https://github.com/nyu-mll/crows-pairs" additional="true">nyu-mll/crows-pairs</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/crows-pairs">CrowS-Pairs</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/race">RACE</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/stereoset">StereoSet</pwcdataset>

data/xml/2020.findings.xml

@@ -1366,6 +1366,7 @@
       <doi>10.18653/v1/2020.findings-emnlp.92</doi>
       <bibkey>nguyen-tuan-nguyen-2020-phobert</bibkey>
       <pwccode url="https://github.com/VinAIResearch/PhoBERT" additional="false">VinAIResearch/PhoBERT</pwccode>
+      <pwcdataset url="https://paperswithcode.com/dataset/105941-images-natural-scenes-ocr-data-of-12">105,941 Images Natural Scenes OCR Data of 12 Languages</pwcdataset>
     </paper>
     <paper id="93">
       <title><fixed-case>EST</fixed-case>e<fixed-case>R</fixed-case>: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection</title>

data/xml/2021.acl.xml

@@ -12387,7 +12387,7 @@
       <url hash="1757c31f">2021.acl-demo.28</url>
       <doi>10.18653/v1/2021.acl-demo.28</doi>
       <bibkey>qi-etal-2021-prophetnet</bibkey>
-      <pwccode url="https://github.com/microsoft/ProphetNet" additional="false">microsoft/ProphetNet</pwccode>
+      <pwccode url="https://github.com/microsoft/ProphetNet" additional="true">microsoft/ProphetNet</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/codexglue">CodeXGLUE</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/dailydialog">DailyDialog</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/lcsts">LCSTS</pwcdataset>

data/xml/2021.emnlp.xml

@@ -759,7 +759,7 @@
       <bibkey>csordas-etal-2021-devil</bibkey>
       <doi>10.18653/v1/2021.emnlp-main.49</doi>
       <video href="2021.emnlp-main.49.mp4"/>
-      <pwccode url="https://github.com/robertcsordas/transformer_generalization" additional="false">robertcsordas/transformer_generalization</pwccode>
+      <pwccode url="https://github.com/robertcsordas/transformer_generalization" additional="true">robertcsordas/transformer_generalization</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/cfq">CFQ</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/mathematics">Mathematics Dataset</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/scan">SCAN</pwcdataset>
@@ -6162,6 +6162,7 @@
       <video href="2021.emnlp-main.389.mp4"/>
       <pwccode url="https://github.com/microsoft/unilm" additional="false">microsoft/unilm</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/readingbank">ReadingBank</pwcdataset>
+      <pwcdataset url="https://paperswithcode.com/dataset/roor">ROOR</pwcdataset>
     </paper>
     <paper id="390">
       <title>Region under <fixed-case>D</fixed-case>iscussion for visual dialog</title>
@@ -13073,6 +13074,7 @@
       <bibkey>kasai-etal-2021-finetuning</bibkey>
       <doi>10.18653/v1/2021.emnlp-main.830</doi>
       <video href="2021.emnlp-main.830.mp4"/>
+      <pwccode url="" additional="true"/>
       <pwcdataset url="https://paperswithcode.com/dataset/wmt-2014">WMT 2014</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/wikitext-103">WikiText-103</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/wikitext-2">WikiText-2</pwcdataset>

data/xml/2022.acl.xml

@@ -664,7 +664,7 @@
       <bibkey>yang-etal-2022-tableformer</bibkey>
       <doi>10.18653/v1/2022.acl-long.40</doi>
       <video href="2022.acl-long.40.mp4"/>
-      <pwccode url="https://github.com/google-research/tapas" additional="false">google-research/tapas</pwccode>
+      <pwccode url="https://github.com/google-research/tapas" additional="true">google-research/tapas</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/sqa">SQA</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/tabfact">TabFact</pwcdataset>
     </paper>

data/xml/W18.xml

@@ -3851,7 +3851,7 @@
       <url hash="0eaa2993">W18-2501</url>
       <doi>10.18653/v1/W18-2501</doi>
       <bibkey>gardner-etal-2018-allennlp</bibkey>
-      <pwccode url="https://github.com/allenai/allennlp" additional="false">allenai/allennlp</pwccode>
+      <pwccode url="https://github.com/allenai/allennlp" additional="true">allenai/allennlp</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/snli">SNLI</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/squad">SQuAD</pwcdataset>
     </paper>