Datasets:
dataset_info:
features:
- name: Canonicalized SMILES
dtype: string
- name: Canonicalized Flavor
dtype: string
- name: Original Labels
dtype: string
- name: Source
dtype: string
splits:
- name: train
num_bytes: 1970859
num_examples: 22038
- name: test
num_bytes: 420863
num_examples: 4722
- name: validation
num_bytes: 419548
num_examples: 4723
download_size: 778401
dataset_size: 2811270
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
task_categories:
- text-classification
tags:
- chemistry
size_categories:
- 10K<n<100K
FartDB
Composite dataset of 31,483 molecules and their taste (sweet, bitter, umami, sour, salty, miscellaneous).
Dataset Details
Dataset Description
- Curated by: Fart Labs
- License: [More Information Needed]
Dataset Sources
Gradinaru Teodora-Cristiana, Madalina Petran, Dorin Dragos, and Marilena Gilca. "PlantMolecularTasteDB: A Database of Taste Active Phytochemicals." Frontiers in Pharmacology 2022; 12:3804. doi: 10.3389/fphar.2021.751712
Neelansh Garg†, Apuroop Sethupathy†, Rudraksh Tuwani†, Rakhi NK†, Shubham Dokania†, Arvind Iyer†, Ayushi Gupta†, Shubhra Agrawal†, Navjot Singh†, Shubham Shukla†, Kriti Kathuria†, Rahul Badhwar, Rakesh Kanji, Anupam Jain, Avneet Kaur, Rashmi Nagpal, and Ganesh Bagler*, "FlavorDB: A database of flavor molecules," Nucleic Acids Research, gkx957, (2017). †Equal contribution *Corresponding Author
Uses
Direct Use
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Out-of-Scope Use
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Dataset Structure
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Dataset Creation
Curation Rationale
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Source Data
Data Collection and Processing
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Personal and Sensitive Information
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Bias, Risks, and Limitations
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Recommendations
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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