Table · dataset · 2022
graphs-datasets/AQSOL
Listed in Hugging Face Datasets
Dataset Card for AQSOL Dataset
Description
Summary
The AQSOL dataset comes "from the Benchmarking Graph Neural Networks paper based on AqSolDB, a standardized database of 9,982 molecular graphs with their aqueous solubility values, collected from 9 different data sources" (PyGeometric doc). Supported Tasks and Leaderboards AQSOL should be used for graph regression, on aqueous solubility. External Use PyGeometric To load in PyGeometric, do the… See the full description on the dataset page: huggingface.co/datasets/graphs-datasets/AQSOL.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/graphs-datasets/AQSOL ↗
landing page · from Hugging Face
Documentation and papers
- arXiv:2003.00982 arxiv.org/abs/2003.00982 ↗
publication · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/graphs-datasets/AQSOL ↗
metadata API · from Hugging Face
Topics
- Stated by source
- graph ml
- From keywords
- Computer Science & AI
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | graphs-datasets/AQSOL | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[task].hf_task:graph-ml | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| license | source · Hugging Face | connector:huggingface@1.0.0 | /tags[license:*] |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |