| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - Smell |
| - chemistry |
| - biology |
| - medical |
| - synthetic |
| - climate |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # ScentSet: A Synthetic Dataset for Smell Description and Classification |
|
|
| **ScentSet** is a synthetic dataset containing **572,293 entries** and approximately **15 million tokens**. Each entry is a short natural language description in simple english of a smell, often followed by a hint or guess about its source. The dataset is designed to support machine learning research in **scent recognition**, **classification**, and **multimodal representation learning**. |
|
|
| ### Format |
|
|
| ```json |
| {"text": "There's a bright citrus smell layered over something minty. It might be toothpaste."} |
| ``` |
|
|
| ### Use Cases |
|
|
| - Training models to generate or classify smell descriptions. |
| - Embedding olfactory descriptions for cross-modal tasks. |
| - Exploring synthetic sensory data in NLP. |
|
|
| ### Data Statistics |
| - Entries: 572,293 |
| - Tokens: ~15 million |
| - Language: English (simple, descriptive) |
| - Generated: Synthetically via language modeling and structured prompt templates. |
|
|
| ### Limitations |
|
|
| - Synthetic data: All content was generated by a language model and may contain factual inaccuracies, biases, or hallucinations. |
| - No human verification: The dataset was not manually reviewed. |
| - Simplified language: Sentence structure and vocabulary were constrained to maximize tiny LM performance. |
|
|
|
|
| ### Citation |
| ```json |
| @misc{ScentSet_2025, |
| author = {David S.}, |
| title = {ScentSet: A Synthetic Dataset for Smell Description and Classification}, |
| year = {2025}, |
| publisher = {Hugging Face Datasets}, |
| howpublished = {\url{https://huggingface.co/datasets/sixf0ur/ScentSet}}, |
| note = {Generated with language models (e.g. Gemini 2) for research on olfactory language modeling} |
| } |
| |
| ``` |
