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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ ---
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+
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+
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+ ---
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+
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+ ## 📄 `README.md` for **DDInter**
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+
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+ ```markdown
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+ ---
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+ pretty_name: DDInter Inductive Reasoning
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+ annotations_creators:
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+ - no-annotation
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+ language:
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+ - en
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+ task_categories:
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+ - reasoning
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+ - relation-classification
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+ license: mit
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+ ---
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+
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+ ### Dataset Summary
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+
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+ DDInter provides drug-drug interaction data labeled with three severity levels (e.g., 'Major','Moderate' and 'Minor').
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+ Each example includes descriptions for both drugs, interaction label, and multi-hop paths extracted from a biomedical knowledge graph (Hetionet).
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+
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+ This dataset supports research in biomedical relational inductive reasoning, DDI prediction, and path-based inference.
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+
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+ ### Columns
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+
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+ | Column | Description |
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+ |--------|-------------|
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+ | `drug1_db`, `drug2_db` | DrugBank IDs |
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+ | `drug1_id`, `drug2_id` | Node IDs |
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+ | `drug_pair` | Optional pair ID |
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+ | `drug1_name`, `drug2_name` | Drug names |
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+ | `drug1_desc`, `drug2_desc` | Descriptions of each drug |
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+ | `label` | Interaction severity (e.g., Moderate) |
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+ | `label_idx` | Numeric label |
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+ | `all_paths`, `all_paths_str`, `path_str` | Paths from the knowledge graph |
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+
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+ ### Example
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+
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+ ```json
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+ {
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+ "drug1_name": "Mannitol",
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+ "drug2_name": "Castor oil",
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+ "label": "Moderate",
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+ "path_str": "Mannitol (Compound) binds ABCB1 (Gene) and ABCG2 (Gene)..."
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+ }
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+
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+ Use the pandas option to load the dataset