ChaseCheng/SAR-DRG
Dataset Card for SAR-DRG Dataset Details SAR-DRG is a scaffold-pocket dataset for realistic R-chain generation in lead optimization. It provides affinity-labeled R-chain samples organized by shared scaffold-pocket contexts, supporting SAR-informed molecular generation and evaluation. The dataset contains 96,158 samples across 29,387 scaffold-pocket groups. Dataset Architecture data_parquet/: Contains the processed Parquet files organized according… See the full description on the dataset page: https://huggingface.co/datasets/ChaseCheng/SAR-DRG.
Dataset Card for SAR-DRG
Dataset Details
SAR-DRG is a scaffold-pocket dataset for realistic R-chain generation in lead optimization. It provides affinity-labeled R-chain samples organized by shared scaffold-pocket contexts, supporting SAR-informed molecular generation and evaluation. The dataset contains 96,158 samples across 29,387 scaffold-pocket groups.
Dataset Description
- Curated by: Cheng et al.
- Funded by: This work was supported by the Key Project of Technology Innovation and Application Development of Chongqing under Grant Nos. CSTB2024TIAD-STX0032 and 2025TIAD-STX0124, and the National Natural Science Foundation of China (22573012). The experimental and computational work in this research runs on the Huawei Cloud AI Compute Service. The authors appreciate the stable computing supply from this platform.
- Shared by: Cheng Cheng
Dataset Architecture
- `data_parquet/`: Contains the processed Parquet files organized according to the train/test split. These files are intended for direct loading through the Hugging Face
datasetsAPI.
- `data_pt/`: Contains the processed PyTorch
.ptfiles organized according to the train/test split. The files are stored as split-specific shards for efficient downloading and model training.
- `data_pt.tar.gz`: Contains the original processed PyTorch data files before sharding. Each example corresponds to one
.ptfile, and the file name matches thedata_idfield inmetadata.csv.
- `data.tar.gz`: Contains the original SDF structure and PDB files used to construct the dataset. The corresponding file paths and identifiers are recorded in
metadata.csv.
- `dataset_split.json`: Stores the dataset splitting information, including
train_group,test_group,train_data, andtest_data. The*_groupfields define the split at thegroup_idlevel, while the*_datafields define the split at thedata_idlevel. Both identifiers can be mapped to entries inmetadata.csv.
- `metadata.csv`: Contains the original metadata table for all examples, including molecular SMILES, file paths,
data_id,group_id, affinity values, and other dataset-related information.
Dataset Sources
- Paper: SAR-DRG: A Scaffold-Pocket Dataset with Structure-Activity Relationships for Realistic R-Chain Generation in Lead Optimization
Citation
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