Coffee-Gym/COFFEE-Dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset Card for "COFFEE-Dataset"

This is the official dataset for COFFEE: Boost Your Code LLMs by Fixing Bugs with Feedback COFFEE dataset is built for training a critic that generates natural language feedback given an erroneous code. Overall Filtered ratio: 12.65% Short Feedback: 0.00% (0 samples) stdin readline present: 1.37% (639 samples) Low Diff Score: 7.79% (3622 samples) Low Variable Overlap: 1.75% (813 samples) Variable Name: 1.74% (807 samples) The number of problem id in… See the full description on the dataset page: https://huggingface.co/datasets/LangAGI-Lab/COFFEE-Dataset.

Coffee fell to 408.66 USd/Lbs on December 2, 2025, down 0.95% from the previous day. Over the past month, Coffee's price has risen 0.50%, and is up 38.54% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coffee - values, historical data, forecasts and news - updated on December of 2025.

This dataset is ideal for exploring the evolving sales trends over time, identifying peak customer traffic days, and delving into the performance metrics of various products. The dataset comprises transactional records from Maven Roasters, a fictional NYC-based coffee shop operating across three distinct locations. It encompasses comprehensive details such as transaction dates, timestamps, geographical specifics, and product-level information. Researchers can analyze the frequency of product sales, pinpoint top revenue drivers, and investigate factors contributing to fluctuations in sales volume.

Reference :

Maven Analytics. (n.d.). Maven Analytics | Data analytics online training for Excel, Power BI, SQL, Tableau, Python and more. [online] Available at: https://mavenanalytics.io [Accessed 6 Dec. 2023].

Coffee consumption in the United States amounted to over ** million 60-kilogram bags in the 2024/2025 fiscal year. This is a slight increase from the total U.S. coffee consumption in the previous fiscal year. Coffee production The coffee plant has its origins in Ethiopia and is now grown all over the world. Most of the world’s coffee is cultivated in South America, followed by Asia and Oceania. In 2024, over ***million 60-kilogram bags of coffee were produced in South America. The majority of South America’s coffee production is attributed to Brazil. In the 2023/2024 fiscal year, global coffee production reached *** million 60-kilogram bags. Coffee brewing in the United States Americans love their coffee and have dozens of different methods and gadgets for brewing and preparing coffee. A 2025 survey of U.S. consumers found that the most commonly used coffee preparation methods were drip coffee makers and single-cup brewers. However, drip coffee makers have become less popular over time. In 2012, ***percent of coffee drinkers used drip coffee makers, while in 2025 this share had dropped to ***percent.

Coffee is one of the most widely consumed beverages in the world. In 2023/24, approximately *** million 60 kilogram bags of coffee were consumed worldwide, a slight increase from about *** million bags in the previous year. Coffee Brewing Innovations The coffee industry is regularly coming up with innovative new methods for brewing coffee and serving it. Single cup brewers are a relatively new innovation which offer a quick and mess-free coffee brewing method for when one only wants a single cup of coffee without the hassle of brewing an entire pot. Cold Brew Coffee Cold brew coffee is made by leaving coffee to brew in cold or room temperature water for 12 to 24 hours and results in a mellower, less acidic tasting coffee. It has become a popular menu item at coffee shops and cafes, but it also easy to make at home. The market for cold brew coffee was valued at *** million U.S. dollars in 2017, and is expected to reach a staggering **** billion U.S. dollars in market value by 2023.

In 2025, ** percent of survey respondents in the United States stated that they drank coffee within the last day. About ** percent of U.S. respondents had drunk espresso-based beverages instead. Coffee brands in the U.S. In 2020, Folgers produced over ************* U.S. dollars’ worth of sales in the United States, making it the leading brand of regular ground coffee by a significant margin. Total sales numbers generated by private coffee labels amounted to some *** million U.S. dollars. Folgers Coffee was first introduced in 1850, and by 2020, had the largest ground coffee market share in the United States. The coffee giant was followed by other well-known brands, such as Maxwell House, Starbucks, and Dunkin’ Donuts. Arabica vs. Robusta In the commercial coffee industry, there are two main types of coffee species: Arabica and Robusta. Coffee beans of the Arabica variety are slightly larger, produce a smooth and aromatic taste, and are the most commonly produced coffee bean variety: in 2023/24, just over ** million bags (60 kilograms each) of Arabica coffee were produced worldwide. Robusta beans are generally smaller and rounder, cheaper to cultivate, and taste quite bitter. Just over ** million bags of this coffee type were produced during the same marketing year.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Coffee in U.S. City Average (CUUR0000SEFP01) from Jan 1967 to Sep 2025 about coffee, urban, consumer, CPI, price index, indexes, price, and USA.

Note: This dataset is not yet peer-reviewed. Please see this GitHub README for more information. This image collection provides estimated per-pixel probability that the underlying area is occupied by the commodity. The probability estimates are provided at 10 meter resolution, and have been generated by a machine learning model. For details, see the technical documentation on the Forest Data Partnership repo on Github. The primary purpose of this image collection is to support the mission of the Forest Data Partnership which aims to halt and reverse forest loss from commodity production by collaboratively improving global monitoring, supply chain tracking, and restoration. This dataset currently covers the following countries: Brazil, Vietnam, Indonesia, Colombia, Ethiopia, Uganda, Honduras, Peru, Nicaragua, El Salvador. This community data product is meant to evolve over time, as more data becomes available from the community and the model used to produce the maps continuously improves. If you would like to provide general feedback or additional datasets to improve these layers, please reach out through this form. Limitations: Model output is limited to selected countries as calendar year composites for 2020 and 2023. Not all regions of the output are well represented by training data. Accuracy is reported in aggregate, and will vary geographically and with user chosen thresholds. Sensor artifacts based on data availability, cross-track nonuniformity, or cloudiness may be visually apparent in output probabilities and result in classification errors at some thresholds. Note that this dataset has separate terms of use for commercial users of Earth Engine. Please see "Terms of Use" tab for details.

The global coffee market size was USD 97.71 billion in 2024 & is projected to grow from USD 102.98 billion in 2025 to USD 156.85 billion by 2033.
Report Scope:

USK COFFEE Dataset

## Overview

USK COFFEE Dataset is a dataset for object detection tasks - it contains Beans annotations for 5,985 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Grade Coffee

## Overview

Grade Coffee is a dataset for object detection tasks - it contains Coffee annotations for 557 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

In 2024, the majority of American consumers drink coffee every day. About ** percent of consumers report drinking coffee daily, while only *** percent report drinking coffee just once a week. Additionally, **** percent of consumers drink coffee a few times a week. The coffee market in the U.S. Domestic coffee consumption in the United States amounts to over **** million 60-kilogram bags. There has been a steady increase in coffee consumption over the last decade. Many Americans buy their coffee at a coffee shop and café chain store. The vast majority of coffee shops and café chains in the U.S. are owned by either Starbucks or Dunkin'. There are ****** Starbucks stores in the U.S., compared to ***** Dunkin' stores. The next largest café chain, Dutch Bros Coffee, operates fewer than ***** locations. In terms of sales of coffee through supermarkets, drug stores, gas stations, and convenience stores, the ******* single-cup coffee brand in the U.S. is Keurig Green Mountain, with a market share of about **** percent. JM Smucker’s Dunkin' brand has a market share of approximately **** percent. Coffee consumption by generation in the U.S. There are notable differences in coffee preferences among various generations. While Starbucks is the ******** coffee brand among Gen X, millennials, and Gen Z consumers, Baby boomers tend to ****** Dunkin'. Moreover, approximately ** percent of baby boomers and ** percent of Gen X report making coffee at home every day, compared to only ** percent of millennials and ** percent of Gen Z. The preferred brewing method also varies by generation. ***** and *********** favor using Keurig machines and coffee pods, while ************ prefer coffee pot machines, and ***** gravitates toward ground coffee.

Context

World champion barista James Hoffmann and Cometeer partnered to conduct a first-of-its-kind coffee taste test. Cometeer shipped 5000 coffee kits across America. Kits contained four different coffees - pre-extracted and flash frozen. Tasters melted and diluted the coffee capsules for a largely identical tasting experience. Tasting and ratings were conducted blind [1]. After survey responses were collected (provided data), some attributes of the coffee were revealed.

In October 2023, World champion barista James Hoffmann and coffee company Cometeer held the "Great American Coffee Taste Test" on YouTube, during which viewers were asked to fill out a survey about 4 coffees they ordered from Cometeer for the tasting. Data blogger Robert McKeon Aloe analyzed the data the following month.

Content

Geography: US

Time-period: 2023

Unit of Analysis: The Great American Coffee Taste Test

Variables

• submission_id = Submission ID
• age = What is your age?
• cups = How many cups of coffee do you typically drink per day?
• where_drink = Where do you typically drink coffee?
• brew = How do you brew coffee at home?
• brew_other = How else do you brew coffee at home?
• purchase = On the go, where do you typically purchase coffee?
• purchase_other = Where else do you purchase coffee?
• favorite = What is your favorite coffee drink?
• favorite_specify = Please specify what your favorite coffee drink is
• additions = Do you usually add anything to your coffee?
• additions_other = What else do you add to your coffee?
• dairy = What kind of dairy do you add?
• sweetener = What kind of sugar or sweetener do you add?
• style = Before today's tasting, which of the following best described what kind of coffee you like?
  -**strength** = How strong do you like your coffee?
• roast_level = What roast level of coffee do you prefer?
• caffeine = How much caffeine do you like in your coffee?
• expertise = Lastly, how would you rate your own coffee expertise?
• coffee_a_bitterness = Coffee A - Bitterness
• coffee_a_acidity = Coffee A - Acidity
• coffee_a_personal_preference = Coffee A - Personal Preference
• coffee_a_notes = Coffee A - Notes
• coffee_b_bitterness = Coffee B - Bitterness
• coffee_b_acidity = Coffee B - Acidity
• coffee_b_personal_preference = Coffee B - Personal Preference
• coffee_b_notes = Coffee B - Notes
• coffee_c_bitterness = Coffee C - Bitterness
• coffee_c_acidity = Coffee C - Acidity
• coffee_c_personal_preference = Coffee C - Personal Preference
• coffee_c_notes = Coffee C - Notes
• coffee_d_bitterness = Coffee D - Bitterness
• coffee_d_acidity = Coffee D - Acidity
• coffee_d_personal_preference = Coffee D - Personal Preference
• coffee_d_notes = Coffee D - Notes
• prefer_abc = Between Coffee A, Coffee B, and Coffee C which did you prefer?
• prefer_ad = Between Coffee A and Coffee D, which did you prefer?
• prefer_overall = Lastly, what was your favorite overall coffee?
• wfh = Do you work from home or in person?
• total_spend = In total, how much money do you typically spend on coffee in a month?
• why_drink = Why do you drink coffee?
• why_drink_other = Other reason for drinking coffee
• taste = Do you like the taste of coffee?
• know_source = Do you know where your coffee comes from?
• most_paid = What is the most you've ever paid for a cup of coffee?
• most_willing = What is the most you'd ever be willing to pay for a cup of coffee?
• value_cafe = Do you feel like you’re getting good value for your money when you buy coffee at a cafe?
• spent_equipment = Approximately how much have you spent on coffee equipment in the past 5 years?
• value_equipment = Do you feel like you’re getting good value for your money when you buy coffee at a cafe?
• gender = Gender
• gender_specify = Gender (please specify)
• education_level = Education Level
• ethnicity_race = Ethnicity/Race
• ethnicity_race_specify = Ethnicity/Race (please specify)
• employment_status = Employment Status
• number_children = Number of Children
• political_affiliation = Political Affiliation

Acknowledgement

Datasource: The data is collected thorugh a survey called The Great American Coffee Taste Test held by James Haffmann

Inspiration: [Great American Coffee...

This dataset contains various features related to coffee bean characteristics and their respective quality metrics. The dataset can be utilized to predict the quality of coffee beans using machine learning algorithms.

Snapshot img

Coffee Market Size 2025-2029

The coffee market size is forecast to increase by USD 37.7 billion, at a CAGR of 6.9% between 2024 and 2029.

Major Market Trends & Insights

Europe dominated the market and accounted for a 32% growth during the forecast period.
By the Product - Arabica coffee segment was valued at USD 48.40 billion in 2023
By the Application - Food and beverage segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 63.76 billion
Market Future Opportunities: USD 37.70 billion 
CAGR : 6.9%
Europe: Largest market in 2023

Market Summary

The market is a significant player in the beverage industry, with an estimated 2.25 billion cups consumed daily. This figure underscores the market's vast reach and influence, spanning various sectors, including foodservice, retail, and manufacturing. Notably, the specialty coffee segment has experienced substantial growth, driven by consumers' increasing preference for premium and unique coffee experiences. According to market research, the specialty coffee segment is projected to account for over 30% of the market share by 2025 . Furthermore, the rise of e-commerce platforms and the convenience they offer have significantly impacted coffee sales, enabling consumers to access a diverse range of coffee products from anywhere in the world.
However, the market faces challenges, such as climate change and supply chain disruptions, which may affect coffee production and prices. Despite these challenges, the market continues to evolve, presenting opportunities for innovation and growth.

What will be the Size of the Coffee Market during the forecast period?

Explore market size, adoption trends, and growth potential for coffee market Request Free Sample

The market exhibits a steady expansion, with current sales accounting for approximately 22% of the total beverage market share. Looking ahead, this sector is projected to experience a continuous growth trajectory, with future expansion anticipated at around 3% annually. Notably, the market's increasing focus on sustainability initiatives and technological advancements has led to significant improvements in areas such as water usage efficiency and soil health indicators.
Enhancements in enzyme activity assays and sensory science principles have further contributed to the industry's progress, driving yield optimization strategies and ensuring consistent product quality. Moreover, the integration of remote sensing applications and disease resistance breeding has enabled farmers to address challenges and maintain optimal crop health, while advances in flavor chemistry and chlorophyll fluorescence have heightened consumer interest in the authentic taste and quality of coffee beans. These developments underscore the dynamic and evolving nature of the market, with ongoing research and innovation shaping its future growth and success.

How is this Coffee Industry segmented?

The coffee industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Arabica coffee
  Robusta coffee
  Liberica coffee
  Excelsa coffee


Application

  Food and beverage
  Pharmaceuticals
  Cosmetic


Roast Type

  Light Roast
  Medium Roast
  Dark Roast


Distribution Channel

  Foodservice
  Retail


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa

    Egypt
    KSA
    Oman
    UAE


  APAC

    China
    India
    Japan


  South America

    Argentina
    Brazil


  Rest of World (ROW)

By Product Insights

The arabica coffee segment is estimated to witness significant growth during the forecast period.

In the dynamic and evolving the market, Arabica beans account for approximately 60% of global production. Renowned for their mild, sweet, and slightly acidic taste, Arabica beans offer notes of fruit and sugar, making them a favorite among consumers. Unlike Robusta beans, Arabica beans contain less caffeine, providing a smoother and more refined taste. The production of high-quality Arabica coffee occurs primarily in regions with optimal climates and altitudes, such as Brazil, Colombia, Ethiopia, Honduras, and Peru. These areas are known for their ability to produce Arabica beans that cater to the discerning palates of coffee drinkers worldwide.

Major players in the industry offer a range of Arabica coffee products to cater to diverse consumer preferences. The market's continuous growth is driven by factors such as sustainability certifications, defect bean identification, moisture content control, and bean drying processes. Sustainability certifications, such as Fair Trade and Rainforest Alliance, ar

Coffee production in Brazil reached an estimate of close to ** million 60-kilogram bags in 2024, up from more than ** million bags a year earlier. Coffee crops are characterized by a biennial effect in harvest yields, in which production yields are very high one year, and comparably low in the following. Agricultural cultivation Brazil is by far the largest coffee producer worldwide, while in the domestic sector, the commodity accounted for around *** percent of the agricultural production value in 2022. Nonetheless, the area planted with coffee in Brazil has been on an overall decreasing trend throughout the past decade, compensated in recent years by an increase in average yield. Coffee varieties The Arabica variety, one of the first coffee species ever cultivated, and normally associated with finer, more aromatic coffees, represented around ** percent of the Brazilian coffee output in 2023. Although Arabica is more sensitive to the biennial effect than Robusta coffee, this varieties’ higher market prices offsets the lower yield. In fact, the revenue generated by Arabica coffee in Brazil reached almost ** billion Brazilian reals in 2023.

An Image Dataset of Pre-Roast Robusta Coffee Beans with Polygon Annotations for Automated Grading

  Abstract

Automated quality assessment of raw agricultural products is critical for ensuring fair trade and supply chain efficiency. This dataset presents 3,877 high-resolution images of pre-roast Arabica coffee beans, collected from farms in Coorg, Karnataka (India)—a major coffee-producing region. Each bean is categorized into one of four quality grades:

Grade… See the full description on the dataset page: https://huggingface.co/datasets/SamruddhK/coffee-bean-grading-dataset.

Brazil Agricultural Production: Coffee Beans data was reported at 3,405.267 Ton th in 2023. This records an increase from the previous number of 3,179.176 Ton th for 2022. Brazil Agricultural Production: Coffee Beans data is updated yearly, averaging 2,767.659 Ton th from Dec 1974 (Median) to 2023, with 50 observations. The data reached an all-time high of 4,405.416 Ton th in 1987 and a record low of 751.969 Ton th in 1976. Brazil Agricultural Production: Coffee Beans data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.RIB001: Agricultural Production.