safe-gpt-small / README.md
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metadata
dataset_info:
  features:
    - name: input
      dtype: string
    - name: mc_labels
      sequence: float64
  splits:
    - name: train
      num_bytes: 66709931019
      num_examples: 315151780
    - name: test
      num_bytes: 11625286787
      num_examples: 54872514
  download_size: 17338800261
  dataset_size: 78335217806
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*

Sequential Attachment-based Fragment Embedding (SAFE) is a novel molecular line notation that represents molecules as an unordered sequence of fragment blocks to improve molecule design using generative models.

Find the details and how to use at SAFE in the repo https://github.com/datamol-io/safe or the paper https://arxiv.org/pdf/2310.10773.pdf.

This dataset is a subset of the original SAFE dataset, made for the purpose of training smaller models.