This data is obtained using the export function of the MTG: Arena platform.

This dataset contains all 25,663 MtG cards found on scryfall.com.
The data is contained in a json file as it is returned by the scryfall api.

There is loads of data which does not necessarily describe what's on the card itself but price data as well as whether it's legal in certain types of games or not.

The (probably) most relevant data for the game itself is contained in the following fields: | field | description | | --- | --- | | name | Name of the card | | mana_cost | Mana cost to play the card | | type_line | Description of the type of card (e.g. Creature, Land, Sorcery, Instand, ...) | | power | Power of the creature | | toughness | Toughness of the creature | | colors | Card colors (R for red, B for black, etc) | | keywords | Keywords for the card (e.g. Trample, Flying, ...) | | legalities | Nested object with key-value pairs consisting of game type and either "legal" or "not_legal" | | oracle_text | Text describing the abilities of the card (e.g. "Trample Whenever Zalto, Fire Giant Duke is dealt damage, venture into the dungeon. (Enter the first room or advance to the next room.)") |

The scraper code is located here.

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Dataset Card for Dataset Name

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

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  Dataset Description

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Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/templates/dataset-card-example.

The global High-speed Data Card market is poised for significant expansion, projected to reach an estimated USD 25,000 million by 2025 and surge to approximately USD 36,000 million by 2033. This robust growth is driven by a Compound Annual Growth Rate (CAGR) of around 4.5% from 2025 to 2033. The increasing demand for faster and more reliable data connectivity across various applications, from mobile computing and IoT devices to industrial automation, is a primary catalyst. The proliferation of 5G networks and the growing adoption of advanced technologies like Artificial Intelligence and Machine Learning necessitate high-throughput data processing capabilities, directly benefiting the data card market. Furthermore, the continuous evolution in storage technology, leading to higher capacities and faster read/write speeds, further fuels market penetration. The market's trajectory is also supported by the expanding digital infrastructure and the growing reliance on cloud-based services, all of which demand efficient data transfer solutions. The market segmentation reveals a dynamic landscape with diverse applications and types catering to specific industry needs. Applications such as LTE and emerging 5G technologies are expected to dominate growth, driven by their widespread adoption in smartphones, tablets, and portable computing devices. In terms of types, Class 6 and higher-speed variants are anticipated to witness the steepest ascent, aligning with the performance requirements of modern data-intensive tasks. Geographically, the Asia Pacific region, led by China and India, is set to be a major growth engine due to its massive consumer base and rapid digital transformation initiatives. North America and Europe will continue to be significant markets, driven by technological innovation and the demand for enterprise-grade solutions. However, the market faces certain restraints, including the increasing integration of embedded storage solutions in devices and the potential for price wars among manufacturers, which could impact profit margins. Despite these challenges, the overarching trend of digital connectivity and data utilization ensures a promising future for high-speed data cards.

Discover the booming high-speed data card market! Learn about its $5B+ valuation, 8-10% CAGR growth, key players, and regional trends impacting this crucial technology sector. Explore market segmentation, growth drivers, and future forecasts in this comprehensive analysis.

Pokémon TCG Pocket Card Dataset

This dataset contains detailed information about all cards available in the Pokémon Trading Card Game Pocket mobile app. The data has been carefully curated and cleaned to provide Pokémon enthusiasts and developers with accurate and comprehensive card information.

Dataset Contents

• 8+ Complete Sets: All major card sets including latest expansions
• 1000+ Cards: Every card with detailed metadata and classifications
• Clean Format: CSV format optimized for analysis, machine learning, and research

Key Features

🃏 Complete Card Data

• Card names and numbers with proper formatting
• Complete set and pack organization structure
• Release dates for all sets and expansions
• Total card counts per set for completion tracking

💎 Rarity Classifications

• 7+ Rarity Types including:
  • Common, Uncommon, Rare
  • Ultra Rare, Secret Rare, Special Art Rare
  • Crown Rare and other premium classifications
• Includes shiny and special variant cards
• Standardized rarity naming conventions

Use Cases

📊 Data Analysis & Research

• Card rarity distribution analysis across sets
• Set completion and collection tracking

🤖 Machine Learning & AI

• Card classification models
• Recommendation systems for collectors
• Rarity prediction algorithms
• Collection optimization models

📈 Visualization & Dashboards

• Interactive card browsers
• Collection progress tracking
• Rarity distribution charts
• Set release timeline visualizations

Data Quality

• ✅ Manually Verified: All card information cross-checked for accuracy
• ✅ Standardized Format: Consistent naming and classification across all entries
• ✅ Complete Coverage: All available cards from the mobile game
• ✅ Clean Structure: Optimized for both human readability and machine processing

Technical Specifications

📋 File Format

• Format: CSV (Comma Separated Values)
• Encoding: UTF-8 with full international character support
• Delimiter: Comma (,)
• Headers: Included in first row

🗂️ Column Structure (9 columns)

If you find this dataset useful, consider giving it an upvote — it really helps others discover it too! 🔼😊

Happy analyzing! 🎯📊

Welcome to the "Playing Cards Dataset" designed for YOLO Object Detection! This dataset contains high-quality images of playing cards, annotated and ready for training object detection models using the YOLO (You Only Look Once) framework. Whether you're developing an AI for card game analysis, magic tricks detection, or any other application involving playing cards, this dataset will provide the necessary data to build and fine-tune your models.

Labels was generated in source (1): ['10', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'J', 'K', 'Q'] ['Clubs', 'Diamonds', 'Hearts', 'Spades'] ['10_Clubs', '10_Diamonds', '10_Hearts', '10_Spades', '2_Clubs', '2_Diamonds', '2_Hearts', '2_Spades', '3_Clubs', '3_Diamonds', '3_Hearts', '3_Spades', '4_Clubs', '4_Diamonds', '4_Hearts', '4_Spades', '5_Clubs', '5_Diamonds', '5_Hearts', '5_Spades', '6_Clubs', '6_Diamonds', '6_Hearts', '6_Spades', '7_Clubs', '7_Diamonds', '7_Hearts', '7_Spades', '8_Clubs', '8_Diamonds', '8_Hearts', '8_Spades', '9_Clubs', '9_Diamonds', '9_Hearts', '9_Spades', 'A_Clubs', 'A_Diamonds', 'A_Hearts', 'A_Spades', 'J_Clubs', 'J_Diamonds', 'J_Hearts', 'J_Spades', 'K_Clubs', 'K_Diamonds', 'K_Hearts', 'K_Spades', 'Q_Clubs', 'Q_Diamonds', 'Q_Hearts', 'Q_Spades'] 52

Code used to generate cards dataset

Feel free to leave comments on things I should fix or improve

This resource provides a sample of the data cards that have been used in conference presentations, trainings, and science methods courses over the years. This resource provides supplemental data for current publications in press or under review.

The size of the High-speed Data Card market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX% during the forecast period.

90 West's closed loop gift card data tracks the sale of single merchant branded gift cards. We know when & where a gift card is funded.

This data covers the entire US.

The data is updated daily (7x per week).

There are typically between 300,000 - 1m transactions daily. More during the holiday season.

This is a very high quality dataset of playing card images. All images are 224 X 224 X 3 in jpg format. All images in the dataset have been cropped so that only the image of a single card is present and the card occupies well over 50% of the pixels in the image. There are 7624 training images, 265 test images and 265 validation images. The train, test and validation directories are partitioned into 53 sub directories , one for each of the 53 types of cards. The dataset also includes a csv file which can be used to load the datasets.

The Local Government Transparency Code 2015 was published by the Department for Communities and Local Government in February 2015. The Code sets out key principles for local authorities in creating greater transparency through the publication of public data.This data is published under The Open Government Licence. This is a free open licence for public sector bodies to license the use and re-use of their information and data easily. If you are intending to use or re-use any of our data please note the conditions of the licence.The Government's transparency agenda encourages local authorities to make public data openly available, as part of this items of spending via our Purchase Cards can be seen by financial year.Certain data may be redacted to comply with the Freedom of Information and Data Protection Acts

7243 Active Global Data Card buyers list and Global Data Card importers directory compiled from actual Global import shipments of Data Card.

The Pokémon Card Dataset offers detailed information about various Pokémon cards, including images, attributes, and descriptions. This dataset is perfect for analyzing Pokémon card features, developing machine learning models, and enhancing gaming experiences.

Dataset Details:

• ID: Unique identifier for each card.
• Image URL: Link to a high-resolution image of the card.
• Caption: Detailed description of the card, including type, rarity, and special features.
• Name: The name of the Pokémon on the card.
• HP (Hit Points): The health points of the Pokémon.
• Set Name: The name of the card set to which the card belongs.

How to Use This Dataset:

• Card Analysis: Compare and analyze Pokémon cards based on attributes, rarity, and card set.
• Image Recognition: Use images and descriptions to train models for card recognition and classification.
• Sentiment Analysis: Analyze the text in card captions to extract sentiments and opinions about the Pokémon.
• Card Recommendation: Build recommendation systems that suggest Pokémon cards based on users’ interests and past collections.

Global trade data of Cards under 8516400000, 8516400000 global trade data, trade data of Cards from 80+ Countries.

This dataset provides a comprehensive view of all Clash Royale cards, combining core gameplay attributes with usage and balance-related statistics. Each entry represents a card and includes details such as elixir cost, rarity, evolution levels, mobility, and attack type. The dataset also includes derived fields like hitpoints and usage frequency, allowing for strategic and analytical insights into the game’s meta.

It can be used for various types of analysis from studying the relationship between card cost and effectiveness to exploring balance trends across rarities and troop types. Developers and data analysts can also apply this data in visualization projects, AI-driven strategy tools, or game balance simulations.

All original game data and images belong to Supercell. This dataset is a structured aggregation created for research, learning, and non-commercial analytical purposes.

About: The Stereograph Card dataset consists of 39,526 stereograph card images from the 1850s through 1924, a subset of what was available online in the collection on loc.gov in August 2022.

Source collection: The image files in this dataset are derived from the Stereograph Cards collection on loc.gov.

Stereographs consist of two nearly identical photographs or photomechanical prints, paired to produce the illusion of a single three-dimensional image, usually when viewed through a stereoscope. The Prints & Photographs Division's holdings include images produced from the 1850s to the 1940s, with the bulk of the collection dating between 1870 and 1920.

The Broadband Data Card Market size is expected to reach USD 4.7 billion in 2034 growing at a CAGR of 5.3. Broadband Data Card Market insights including segmentation, demand dynamics, competitive landscape, growth prospects, and forecast.

These data cards describe the quality of Seymour lake, including the species and vegetation present and the current and potential recreational use. A chemical analysis for T.D.S., pH, and oxygen are also included.