FartDB / README.md
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metadata
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

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Dataset Structure

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Data Collection and Processing

[More Information Needed]

Who are the source data producers?

[More Information Needed]

Annotations [optional]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

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

Citation [optional]

BibTeX:

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APA:

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Glossary [optional]

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More Information [optional]

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Dataset Card Authors [optional]

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Dataset Card Contact

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