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<h1><strong>York Combined Transaction Set</strong></h1> <p><br> The York Combined Transaction Set contains a consolidated list of gambling related transactions found on the Ethereum blockchain.</p> <p>This data set was first presented at the <a href="https://www.addiction-ssa.org/current-advances-in-gambling-research-conference/" rel="nofollow">Society for the Study of Addiction's Current Advances in Gambling Research (CAGR) conference in July 2019</a></p> <p><strong><a href="https://osf.io/bvjwc" rel="nofollow">Please read this paper for more in-depth descriptions of this data and related topics: https://osf.io/bvjwc</a></strong> <br><br></p> <h3><strong>Data Origin</strong></h3> <p>Three Ethereum smart contracts publicly affiliated with gambling interfaces (dice roll, coin flip, etc.) have been identified, and their full transaction histories collated. This yields a single longitudinal set of transactions over the last 10 months, starting on the 4th of August 2018 through to May 2019.</p> <p>The full data set contains 1,420,292 transactions identified to originate from 17,046 individual addresses. This data set is 116MB in CSV format, see descriptions below for column names and data types.</p> <p>For a more detailed description of the smart contracts from which this data set has been extracted, see the data description pre-print <a href="https://osf.io/bvjwc" rel="nofollow">available here</a>.<br><br></p> <h3><strong>Data Description</strong></h3> <p>From: The public key of the account the transaction to a gambling provider originated from (20 byte string).</p> <p>Cost: The cost (in gas) of confirming the transaction on the Ethereum blockchain (this is seperate to the amount wagered) (integer).</p> <p>Value: The value of the wager made in Ether (the currency of the Ethereum network) (floating point value).</p> <p>Provider: Identifies which of the thee smart contracts the transaction is to (integer 1-3).</p> <p>Time: Timestamp indicating when the transaction took place. <br><br></p> <h3><strong>Usage</strong></h3> <p>As this combined transaction set is a subset of the publicly available Ethereum blockchain, it comes with no usage limitations whatsoever. <br><br></p> <h3><strong>Citation</strong></h3> <p>When using this data set we kindly ask that the data description pre-print paper is cited, <a href="https://osf.io/bvjwc" rel="nofollow">available here</a>, which contains more detailed descriptions of the data gathered, along with limitations of its use.</p> <pre class="highlight"><code>@misc{scholten_zendle_walker_2019, title={Decentralised Gambling: The York Combined Transaction Set}, url={<a href="http://osf.io/bvjwc" rel="nofollow">osf.io/bvjwc</a>}, DOI={10.31219/<a href="http://osf.io/bvjwc" rel="nofollow">osf.io/bvjwc</a>}, publisher={OSF Preprints}, author={Scholten, Oliver J and Zendle, David and Walker, James A}, year={2019}, month={Jul} }</code></pre> <p><br></p> <h3><strong>Useful Information</strong></h3> <p>For an accessible description of smart contracts and blockchains in general, we recommend <a href="https://www.ibm.com/blogs/blockchain/2018/07/what-are-smart-contracts-on-blockchain/" rel="nofollow">this IBM post on the subject</a>. <br><br></p> <h3><strong>About the authors</strong></h3> <p><a href="https://www.ojscholten.com" rel="nofollow"><strong>Oliver J. Scholten</strong></a> is a PhD Student in Computer Science at the University of York. He is interested in analysing transaction data, especially in virtual economies and gambling. <a href="https://www.twitter.com/ojscholten" rel="nofollow">Follow him on twitter here: @ojscholten</a></p> <p><a href="https://www.yorksj.ac.uk/about/our-people/david-zendle/" rel="nofollow"><strong>Dr David Zendle</strong></a> is a lecturer in computer science at the University of York St John. His interests include better understanding chance based mechanics like loot boxes in games. <a href="https://www.twitter.com/davidzendle" rel="nofollow">Follow him on twitter here: @davidzendle</a></p> <p><a href="https://digitalcreativity.ac.uk/people/dr-james-walker" rel="nofollow"><strong>Dr James Walker</strong></a> is a lecturer in computer science at the University of York. His interests include applying state of the art computational methods to data sets in gaming and esports. <a href="https://www.twitter.com/drjamesawalker" rel="nofollow">Follow him on twitter here: @DrJamesAWalker</a></p> <p><br><br><br><br></p>
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