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.

This dataset contains the sales data of a coffee shop. It contains the transaction id of every customer and their order description. It does not contain any null value.

content:

This dataset contains 3,547 coffee shop transactions. It includes details such as the type of coffee purchased, amount spent, payment method, date, and time of purchase. Additional attributes like weekday, month, and time of day make it useful for analyzing sales patterns, customer preferences, and payment behaviors.

context:

Coffee shop transaction records are included in this dataset, which collects information about what customers buy, how much they spend, how they pay, and when they make their purchases. It offers background information for examining consumer preferences, payment patterns, and sales trends over various periods and comparing payment methods across different times and seasons.

Column Description:

• hour_of_day : The hour (0–23) when the transaction occurred.

• cash_type : Payment method used (e.g., cash or card).

• money : Amount of money spent in the transaction.

• coffee_name : The name/type of coffee purchased (e.g., Latte, Hot Chocolate).

• Time_of_Day : Categorized time of purchase (Morning, Afternoon, Evening, etc.).

• Weekday : The day of the week when the purchase was made (e.g., Mon, Tue).

• Month_name : The month of the transaction (e.g., Jan, Feb).

• Weekdaysort : Numerical value representing the order of weekdays (e.g., 1 = Mon, 7 = Sun).

• Monthsort : Numerical value representing the order of months (e.g., 1 = Jan, 12 = Dec).

• Date : The exact date of the transaction (YYYY-MM-DD).

• Time : The exact timestamp of the transaction (HH:MM:SS).

Acknowledgment:

I sincerely acknowledge the dataset source for providing valuable data that made this analysis possible.

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...

Brazil was the leading coffee producer in the world for the crop year of 2024/2025. In that year, Brazil produced **** million 60 kilogram bags of coffee. Vietnam ranked second with **** million bags.Coffee productionCoffee is one of the most widely consumed hot beverages all over the world. Brazil, the top coffee-producing country, accounted for ** percent of the global coffee supply. Vietnam, was the second largest coffee producer, accounting for roughly ** percent of the world coffee production. The coffee trade is one of Brazil’s most prolific industries. In 2023, about *** million hectares of agricultural land was allotted for harvesting green coffee. Over ***** million sacks of Brazilian coffee were exported in February 2024 alone. Predictably, the nation was also the biggest coffee consumer in the South American continent during that year.

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:

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.

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).

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.

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

According to Cognitive Market Research, the global Coffee Market was valued at approximately USD XX billion in 2025 and is expected to grow to USD XX billion by 2031, expanding at a CAGR of XX% during the forecast period.

North America held largest share of XX% in the year 2025. Europe held share of XX% in the year 2025. Asia-Pacific held significant share of XX% in the year 2025. South America held significant share of XX% in the year 2025. Middle East and Africa held significant share of XX% in the year 2025.

Market Dynamics of Coffee Market

Key Drivers for Coffee Market

Ready-To-Drink (RTD) Coffee to Boost Market Growth

The RTD coffee segment is expanding rapidly due to shifting consumer lifestyles and preferences. As urbanization and busy routines increase, so does the demand for convenient, on-the-go beverage options. RTD coffee meets this need by offering ready-to-consume products with a balance of quality, flavor, and accessibility. Health-conscious trends are also reshaping the market, with consumers seeking low-sugar, functional, and plant-based options. Manufacturers are responding with innovative offerings that align with modern dietary preferences while maintaining the ease and appeal that define RTD coffee. Generational preferences play a key role in driving this growth, particularly among younger consumers who prioritize both energy and convenience. Flavor diversity—from classic black to indulgent variants like caramel and mocha caters to a broad range of tastes. Pricing and packaging also influence consumer decisions, with factors such as bean quality and production costs impacting market dynamics. RTD coffee is set to become an even more prominent part of everyday consumption.

Innovation in Flavours to Propel Market Growth 

The coffee market is expanding rapidly due to innovation in flavors, formats, and brewing techniques. Consumers today seek personalized, high-quality experiences, which has led to the rise of specialty coffees like cold brews, single-origin blends, and flavored lattes. The growing popularity of plant-based alternatives such as almond and oat milk has made coffee more appealing to health-conscious and vegan consumers. These evolving preferences, along with broader nutrition trends, are making coffee more inclusive and appealing to a wider audience. Millennials and Gen Z are key drivers of this growth, with a strong focus on convenience, sustainability, and digital integration. Their preferences for ethically sourced products, diverse flavor profiles, and tech-enabled services like app-based ordering are reshaping how coffee is consumed and marketed. As these generations continue to influence trends, the coffee industry is expected to keep innovating, offering more customized, sustainable, and accessible options for a broader consumer base.

Key Restraint for Coffee Market

Fluctuating prices of raw materials

The fluctuating costs of raw materials such as coffee beans poses a major challenge to the coffee beverage market. Coffee production is highly sensitive to weather conditions and supply-chain disruptions. Extreme weather conditions like unpredictable rainfall leading to floods or droughts result in a significant decline in coffee bean yields, which in-turn leads to supply chain disruptions and price volatility. For instance, Vietnam and Brazil have experienced a fear of global shortage of coffee due to soaring high prices as a result of extreme weather conditions. Such instances may hamper the growth of the coffee industry in the long run.

Rising costs of transportation and labor along with economic uncertainties further add to this challenge. A shortage of raw materials may potentially lead to the rise in price of finished goods, driving consumers away and impacting the overall growth of the market. Small-scale farmers in particular are affected by such fluctuations because of the lack of financial to deal with such restraints. The instability can further lead to poor quality of crops, decline in supply and exit of the farmers from the market entirely, impacting the overall growth of the market.

Source: https://www.thegrocer.co.uk/kvi-price-tracker/coffee-prices-hit-new-highs-over-fears-of-global-shortages/690428.article

Key Trends for Coffee Market

Sustainability, Ethical Sourcing & Traceability

Consumers today place great ...

Global coffee production reached *** million 60-kilogram bags as of 2023/24, increasing from about *** million 60-kilogram bags in 2021/2022. The majority of the world’s coffee is produced in South America, specifically Brazil. Leading coffee producers In 2024/25, Brazil produced ** million 60-kilogram bags of coffee. Vietnam is the second leading producer of coffee, with ** million 60-kilogram bags of coffee in that year. Brazil also exports a higher volume of coffee than Vietnam, at about *** million 60-kilogram bags as of February 2024. Coffee consumption in the United States Coffee is one of the most popular beverages in the United States. Americans on average consume a little under *** cups of coffee on a daily basis. Coffee consumption seems to generally increase with age, with 18 to 19 years old consuming about *** cup of coffee per day, and Americans aged 70 years or older consuming over**** cups of coffee per day. As of 2025, the most popular kind of coffee brewer among American consumers is the ******************

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 Italian Coffee Market Report is Segmented by Product Type (Whole Bean, Ground Coffee, Instant Coffee, and More), Flavor (Plain and Flavored), Category (Conventional and Specialty), Bean Type (Arabica, Robusta, and Others), and Distribution Channel (On-Trade and Off-Trade). The Market Forecasts are Provided in Terms of Value (USD) and Volume (Tons).

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.

Iran had the fastest growing domestic consumption of green coffee beans worldwide as of the 2024/2025 marketing year. Iran's five-year compound annual growth rate (CAGR) leading up to 2024/2025 stood at ***** percent.

Global coffee market was valued at USD 235.75 Billion in 2024 and is predicted to reach USD 398.90 Billion by 2034, with a CAGR of 5.4% between 2025 and 2034.

Here are a few use cases for this project:

1. Coffee Quality Control: This model can be used in the coffee industry for quality control, by analyzing images of coffee beans and determining their roast types, hence ensuring consistency in coffee products.

2. Augmented Reality Shopping Assistant: It could be used in an AR application aimed at helping customers differentiate between various types of coffee at grocery stores or cafes, enhancing the shopping experience.

3. Agricultural Technology: The model can be used in ag-tech applications, helping farmers to identify and classify the state of coffee beans during the harvesting process, thereby increasing productivity and quality.

4. Coffee Machine Integration: The model could be integrated into high-end automatic coffee machines to adjust brewing parameters based on the type of coffee bean detected, thus enhancing the quality of the brewed coffee.

5. Coffee Education Applications: The model can be used in educational apps or websites about coffee, providing visual recognition and explanations about different types of coffee roasts and beans to users who are interested in learning more about coffee.

The Raw Coffee Beans Market is Segmented by Geography (North America, South America, Asia-Pacific, and More). The Report Includes Production Analysis (Volume), Consumption Analysis (Value and Volume), Export Analysis (Value and Volume), Import Analysis (Value and Volume), and Price Trend Analysis. The Market Forecasts are Provided in Terms of Value (USD) and Volume (Metric Tons).