# ML Olympiad - Can you guess the beer style? — Data

来源：https://www.kaggle.com/competitions/ML-Olympiad-can-you-guess-the-beer-style/data

采集时间：2026-10-20T07:07:22Z

##**This competition was cancelled due to a bug in the dataset.**

Please register for this competition
[https://www.kaggle.com/competitions/ml-olympiad-can-you-guess-beer-style/
](url)

## Dataset Information

This dataset contains tasting profiles and consumer reviews for 403 unique beers from 281 different breweries. It was created by integrating information from two existing data sets on Kaggle: Beer Tasting Profiles Dataset and 1.5 Million Beer Reviews.

The training set should be used to build your machine learning models. For the training set, we provide the outcome (also known as the “ground truth”) for each beer. Your model will be based on beer's features. You can also use feature engineering to create new features.

The test set should be used to see how well your model performs on unseen data. For the test set, we do not provide the ground truth for each beer. It is your job to predict these outcomes. For each beer in the test set, use the model you trained to predict its style.

We also include a sample submission file named sample_submission.csv, a set of predictions as an example of what a submission file should look like.

## Files

*   **train.csv** - the dataset used to train model.
*   **test.csv** - the dataset used to evaluate the model.
*   **sample_submission.csv** - a sample submission file in the correct format.

## Columns

* ID: A unique ID that identifies the beer
* Name:  Beer name
* Brewery:  Brewery name
* Beer Name (Full): Complete beer name (Brewery + Brew Name) 
* Description: Notes on the beer if available
* ABV: Alcohol content of beer (% by volume)
* Min IBU: The minimum IBU value each beer can possess
* Max IBU: The maximum IBU value each beer can possess

* The next eleven columns represent taste and aroma descriptors taken from up to 25 reviews of each beer.
* Astringency
* Body
* Alcohol
* Bitter
* Sweet
* Sour
* Salty
* Fruits
* Hoppy
* Spices
* Malty

The last six columns refer to information regarding beer reviews:

* review _ aroma: The average rating for aroma
* review _ appearance: The average rating for appearance
* review _ palate: The average rating for mouthfeel
* review _ taste: The average rating for taste
* review _ overall: The overall average rating of the beer
* number _ of _ reviews: The number of reviews taken into consideration