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  We introduced this dataset in Points2Surf, a method that turns point clouds into meshes.
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  It consists of objects from the [_ABC Dataset_](https://paperswithcode.com/dataset/abc-dataset-1), a collection of _Famous_ meshes and objects from [_Thingi10k_](https://paperswithcode.com/dataset/thingi10k).
@@ -12,4 +27,4 @@ The validation sets are the same as the test set.
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  The _ABC_ test sets contain 100 objects, _Famous_ 22 and _Thingi10k_ 100. The test set variants are as follows:
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  (1) _ABC_ var (like training set), no noise, strong noise;
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  (2) _Famous_ no noise, medium noise, strong noise, sparse, dense scans;
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- (3) _Thingi10k_ no noise, medium noise, strong noise, sparse, dense scans
 
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+ ---
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+ language:
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+ - en
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+ pretty_name: "Points2Surf Dataset"
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+ tags:
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+ - 3d meshes
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+ - point clouds
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+ - synthetic
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+ - realistic
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+ - CAD
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+ - statues
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+ task_categories:
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+ - surface reconstruction
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+
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+
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  We introduced this dataset in Points2Surf, a method that turns point clouds into meshes.
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  It consists of objects from the [_ABC Dataset_](https://paperswithcode.com/dataset/abc-dataset-1), a collection of _Famous_ meshes and objects from [_Thingi10k_](https://paperswithcode.com/dataset/thingi10k).
 
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  The _ABC_ test sets contain 100 objects, _Famous_ 22 and _Thingi10k_ 100. The test set variants are as follows:
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  (1) _ABC_ var (like training set), no noise, strong noise;
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  (2) _Famous_ no noise, medium noise, strong noise, sparse, dense scans;
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+ (3) _Thingi10k_ no noise, medium noise, strong noise, sparse, dense scans