diff --git a/data/xml/2021.emnlp.xml b/data/xml/2021.emnlp.xml
index 8e5dd99bfe..22591b3ca9 100644
--- a/data/xml/2021.emnlp.xml
+++ b/data/xml/2021.emnlp.xml
@@ -1963,6 +1963,7 @@
       <bibkey>chi-etal-2021-mt6</bibkey>
       <doi>10.18653/v1/2021.emnlp-main.125</doi>
       <video href="2021.emnlp-main.125.mp4"/>
+      <pwccode url="" additional="true"/>
       <pwcdataset url="https://paperswithcode.com/dataset/mlqa">MLQA</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/paws-x">PAWS-X</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/tydi-qa">TyDiQA</pwcdataset>
diff --git a/data/xml/2022.lrec.xml b/data/xml/2022.lrec.xml
index 1f0716e036..c573676a96 100644
--- a/data/xml/2022.lrec.xml
+++ b/data/xml/2022.lrec.xml
@@ -6518,6 +6518,7 @@
       <url hash="40e6b243">2022.lrec-1.523</url>
       <bibkey>bhattarai-etal-2022-explainable</bibkey>
       <pwccode url="" additional="true"/>
+      <pwcdataset url="https://paperswithcode.com/dataset/politifact">PolitiFact</pwcdataset>
     </paper>
     <paper id="524">
       <title>Enhancing Deep Learning with Embedded Features for <fixed-case>A</fixed-case>rabic Named Entity Recognition</title>
diff --git a/data/xml/P19.xml b/data/xml/P19.xml
index a2652ed418..ca1bb0efd2 100644
--- a/data/xml/P19.xml
+++ b/data/xml/P19.xml
@@ -9098,7 +9098,7 @@
       <revision id="1" href="P19-1644v1" hash="590f6420"/>
       <revision id="2" href="P19-1644v2" hash="9e13eba7">In the main paper (attached), in Table 3, the row for "Cardinality (soft)" has incorrect values under the NLVR and NLVR2 columns. The respective values should be 16 and 23.6. The value of 16 was reported in Suhr et al. 2017 (P17-2034; the error occurred when I accidentally overwrote the NLVR cell value).</revision>
       <bibkey>suhr-etal-2019-corpus</bibkey>
-      <pwccode url="https://github.com/lil-lab/nlvr" additional="false">lil-lab/nlvr</pwccode>
+      <pwccode url="https://github.com/lil-lab/nlvr" additional="true">lil-lab/nlvr</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/clevr">CLEVR</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/clevr-humans">CLEVR-Humans</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/coco">MS COCO</pwcdataset>