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@@ -45,7 +45,7 @@ $$
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  TEDS(T_a, T_b) = 1 - \frac{EditDist(T_a, T_b)}{\max(|T_a|, |T_b|)}
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  $$
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- The equation evaluates the similarity between two tables by modeling them as tree structures ($T_a$ and $T_b$).
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  This metric evaluates how accurately the table structure is predicted, including the content of each cell.
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  A higher TEDS score indicates better overall performance in capturing both the table layout and the textual content.
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  TEDS(T_a, T_b) = 1 - \frac{EditDist(T_a, T_b)}{\max(|T_a|, |T_b|)}
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  $$
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+ The equation evaluates the similarity between two tables by modeling them as tree structures (T_a and T_b).
49
  This metric evaluates how accurately the table structure is predicted, including the content of each cell.
50
  A higher TEDS score indicates better overall performance in capturing both the table layout and the textual content.
51