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Fix task_categories: text-regression -> text-classification
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metadata
license: cc-by-4.0
task_categories:
  - tabular-regression
  - graph-ml
  - text-classification
tags:
  - chemistry
  - biology
  - medical
pretty_name: ExpansionRx-OpenADMET RLM CLint
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: train
        path: rlm_clint.csv

ExpansionRx-OpenADMET RLM CLint

RLM CLint (rat liver microsomal intrinsic clearance) dataset from the ExpansionRx-OpenADMET Blind Challenge [1] [2]. It is intended to be used through scikit-fingerprints library.

The task is to predict the rat liver microsomal intrinsic clearance (RLM CLint) of molecules.

Note that this dataset was not part of the original challenge. It was provided by the organizers afterward as an additional endpoint.

Characteristic Description
Tasks 1
Task type regression
Total samples 633
Recommended split time
Recommended metric MAE

References

[1] OpenADMET team "Announcement 1: ExpansionRx-OpenADMET Blind Challenge" https://openadmet.ghost.io/expansionrx-openadmet-blind-challenge/

[2] HuggingFace Hub - ExpansionRx-OpenADMET challenge full dataset https://huggingface.co/datasets/openadmet/openadmet-expansionrx-challenge-data