Datasets:
metadata
pretty_name: DDInter Inductive Reasoning
license: apache-2.0
annotations_creators:
- no-annotation
language:
- en
task_categories:
- question-answering
- text-generation
🔗 This dataset is part of the study:
K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction
DDInter: Inductive Reasoning Dataset
DDInter provides drug–drug interaction (DDI) data labeled with three severity levels (Major
, Moderate
, Minor
).
Each entry includes two drugs, an interaction label, drug descriptions, and structured/natural language representations of multi-hop reasoning paths between them.
The multi-hop paths were extracted from a biomedical knowledge graph (Hetionet) using K-Paths.
This dataset is useful for evaluating:
- Path-based biomedical reasoning
- Knowledge graph inference
- Inductive reasoning
💡 Columns
Column | Description |
---|---|
drug1_db , drug2_db |
DrugBank IDs |
drug1_id , drug2_id |
Node IDs from the KG |
drug_pair |
Optional drug pair identifier |
drug1_name , drug2_name |
Names of each drug |
drug1_desc , drug2_desc |
Descriptions of each drug |
label |
Interaction severity (e.g., Moderate ) |
label_idx |
Numeric version of the label |
all_paths , all_paths_str , path_str |
KG paths for reasoning |
📦 Example Record
{
"drug1_name": "Mannitol",
"drug2_name": "Castor oil",
"label": "Moderate",
"path_str": "Mannitol (Compound) binds ABCB1 (Gene) and ABCG2 (Gene)..."
}
## 📥 How to Load with pandas
```python
import pandas as pd
splits = {
"train": "ddinter/train.json",
"test": "ddinter/test.json"
}
train = pd.read_json("hf://datasets/Tassy24/K-Paths-inductive-reasoning-ddinter/" + splits["train"], lines=True)
test = pd.read_json("hf://datasets/Tassy24/K-Paths-inductive-reasoning-ddinter/" + splits["test"], lines=True)
### 📜 Citation (BibTeX)
```bibtex
@article{abdullahi2025k,
title={K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction},
author={Abdullahi, Tassallah and Gemou, Ioanna and Nayak, Nihal V and Murtaza, Ghulam and Bach, Stephen H and Eickhoff, Carsten and Singh, Ritambhara},
journal={arXiv preprint arXiv:2502.13344},
year={2025}
}