---
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

<!-- Provide a quick summary of the dataset. -->

Composite dataset of 31,483 molecules and their taste (sweet, bitter, umami, sour, salty, miscellaneous). 

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->



- **Curated by:** Fart Labs
- **License:** [More Information Needed]

### Dataset Sources

<!-- Provide the basic links for the dataset. -->

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

Rojas, C., Ballabio, D., Pacheco Sarmiento, K., Pacheco Jaramillo, E., Mendoza, M., & García, F. (2021). ChemTastesDB: A Curated Database of Molecular Tastants (1.0) [Data set]. Zenodo. <https://doi.org/10.5281/zenodo.5747393>


## Uses

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### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

[More Information Needed]

### Out-of-Scope Use

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[More Information Needed]

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

[More Information Needed]

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

[More Information Needed]

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

[More Information Needed]

#### Who are the source data producers?

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[More Information Needed]

### Annotations [optional]

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#### Annotation process

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[More Information Needed]

#### Who are the annotators?

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[More Information Needed]

#### Personal and Sensitive Information

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[More Information Needed]

## Bias, Risks, and Limitations

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[More Information Needed]

### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

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**BibTeX:**

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**APA:**

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## Glossary [optional]

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[More Information Needed]

## More Information [optional]

[More Information Needed]

## Dataset Card Authors [optional]

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## Dataset Card Contact

[More Information Needed]