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@@ -30,7 +30,7 @@ This repository hosts a single PyTorch Geometric dataset file used for the TAG-D
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  - Contains the **first 10,000 proofs** from the ~45,000-theorem Metamath database
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  - Each example is a **directed acyclic graph** (DAG)
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  - **Node features:** 768-dimensional CodeBERT embeddings of Metamath statements
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- - **Labels:** the theorem required to justify each node (axioms and assumptions have the same label)
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  - **Conclusion masking:** the conclusion node’s embedding is zeroed out so the model must predict the final logical step directly from the graph structure and the other nodes
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  - **Rare labels** (<=5 occurrences) are collapsed into a single UNK class
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  - **All theorem statements** (not just proofs) are included in training, since the model must treat theorems themselves as prior knowledge
 
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  - Contains the **first 10,000 proofs** from the ~45,000-theorem Metamath database
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  - Each example is a **directed acyclic graph** (DAG)
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  - **Node features:** 768-dimensional CodeBERT embeddings of Metamath statements
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+ - **Labels:** the theorem required to justify each node (axioms and assumptions share a fixed label); there are 3,358 distinct labels after collapsing rare ones (<=5 conclusion node occurrences) into UNK
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  - **Conclusion masking:** the conclusion node’s embedding is zeroed out so the model must predict the final logical step directly from the graph structure and the other nodes
35
  - **Rare labels** (<=5 occurrences) are collapsed into a single UNK class
36
  - **All theorem statements** (not just proofs) are included in training, since the model must treat theorems themselves as prior knowledge