---
license: cc-by-4.0
task_categories:
- tabular-regression
- graph-ml
- text-classification
tags:
- chemistry
- biology
- medical
pretty_name: ExpansionRx-OpenADMET LogD
size_categories:
- 1K<n<10K
configs:
- config_name: default
  data_files:
  - split: train
    path: "logd.csv"
---
# ExpansionRx-OpenADMET LogD

LogD dataset from the ExpansionRx-OpenADMET Blind Challenge [[1]](#1) [[2]](#2). It is intended to be used through
[scikit-fingerprints](https://github.com/scikit-fingerprints/scikit-fingerprints) library.

The task is to predict LogD of molecules.

| **Characteristic** |  **Description**  |
|:------------------:|:-----------------:|
|        Tasks       |         1         |
|      Task type     |    regression     |
|    Total samples   |       7309        |
|  Recommended split |       time        |
| Recommended metric |        MAE        |

## References
<a id="1">[1]</a>
OpenADMET team
"Announcement 1: ExpansionRx-OpenADMET Blind Challenge"
https://openadmet.ghost.io/expansionrx-openadmet-blind-challenge/

<a id="2">[2]</a>
HuggingFace Hub - ExpansionRx-OpenADMET challenge full dataset
https://huggingface.co/datasets/openadmet/openadmet-expansionrx-challenge-data