{ "fetched_at": "2026-10-19T12:41:58Z", "source_url": "https://www.kaggle.com/competitions/geology-forecast-challenge-open/data", "pages": [ { "name": "data-description", "content": "The dataset consists of pre-processed and raw data.\n\n## Pre-processed data\nPre-processed data is provided in the competition format described in the subsections. The pre-processed data uses non-overlapping sections of geology. However you can use the raw data and the provided interpolation script to extract more data for training.\n\n### Columns\n* Position number (in column names) is \"**X**\" (vertical section) position in feet relative to the current location of the drill bit.\n* Values in cells are **Z** (oriented up, in feet) coordinates of a layer boundary near a drilled well \n\n#### Column **geology_id**\nHash-based id of a specific row\n\n#### Columns **-299**..**0**\nInferred (known) geology **Z** (oriented up) coordinate of a layer up to the current drilling location along **X** (vertical section).\n\nThe data is normalised so that **Z(0) = 0**. \n\nNote: not all columns **-299**..**0** are present in all rows. However, we guarantee that the \nvalues for columns **-49**..**0** are present in all the rows. \nThe values will not have gaps starting from the first one in cell **-k** until **0**. \n\n#### Columns **1**..**300**\nGeology to be predicted (realization 0 out of 10). \n\nIn the `train.csv` these columns contains the true geology of layer segments.\n\n#### Columns **r_1_pos_1**..**r_1_pos_300** ... **r_9_pos_1**..**r_9_pos_300**\nGeology to be predicted (realizations 1 to 10). \n\nNote: The order of the realizations **0 to 10** does not change the score. \nThis includes realization 0 described above. \n\nIn the `train.csv` these columns contains the true geology of layer segments same as Columns **1**..**300**. \n\n## Raw data\nThe raw data is available in the `train_raw` folder.\n\nEach CSV file has two columns: \n\n`VS_APPROX_adjusted` is the lateral coordinate along the well Vertical Section (VS),\n\n`HORIZON_Z_adjusted` is the depth of the layer at this location.\n\nBoth of the variables are in feet and are normalized to start at 0,0\n\n\n\n## Interpolation script\nThe interpolation script is the one used to produce the training data by splitting and interpolating the files in the `train_raw` folder.\n\nIt might be useful to modify it to get redundant overlapping data for training. ", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Description", "content": "## Task\n\nTask is to learn to predict realizations of geological layer depth sequence. \n\nWe ask to predict **10 realizations** (with **300 positions** each) with best possible accuracy. \n**10 realizations** are required to account for uncertainty of predictions. We encourage submissions to have capability of changing the number of realizations to any number.\nDiverse predictions would likely increase the score.\n\nNote: if your model uses randomness to predict uncertainty, please **fix the seed** for reproducibility. \n\n## Columns\n* Position number (in column names) is \"**X**\" (vertical section) position in feet relative to the current location of the drill bit.\n* Values in cells are **Z** (oriented up, in feet) coordinates of a layer boundary near a drilled well \n\n### Column **geology_id**\nHash-based id of a specific row - unique ID string. \n\n### Columns **-299**..**0**\nInferred (known) geology **Z** (oriented up) coordinate of a layer up to the current drilling location along **X** (vertical section).\n\nThe data is normalized so that **Z(0) = 0**. \n\nNote: not all columns **-299**..**0** contain a value. However, we guarantee that the \nvalues for columns **-49**..**0** are present with a value in all the rows. \nThe values will not have gaps starting from the column **-k** (first with data) until **0**. \n\n### Columns **1**..**300**\nGeology to be predicted (realization 0 out of 10, zero-indexed). \n\nIn the `train.csv` these columns contains the true geology of layer segments.\n\n### Columns **r_1_pos_1**..**r_1_pos_300** ... **r_9_pos_1**..**r_9_pos_300**\nGeology to be predicted (realizations 1 to 9 out of 10, zero-indexed). \n\nNote: The order of the realizations **0 to 10** does not change the score. \nThis includes realization 0 described above. \n\nIn the `train.csv` these columns contains the true geology of layer segments same as Columns **1**..**300**. \n\n\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Evaluation", "content": "\nSubmissions are evaluated using negative log likelihood metric.\n\nLet:\n\n- *x* be horizontal location along the well which in the task is replaced by its index 1..300,\n- **b^{T}(x)** be the true geological boundary,\n- *b_{i}(x)* be a predicted geology realization number *i*,\n- **D_T^{-1}(x)** is an approximation of a diagonal of an idealized covariance matrix.\n\nWe can compute a simple misfit vector between a single prediction and the truth as:\n\n$$\ne_{i}(x) = b^{T}(x) - b_{i}(x)\n$$\n\nAssuming that each geological predicion defines a center line of a Gausian kernel with varience **D_{T}**\nwe can define \"Gaussian\" or exponential misfit **E_{i,G}** as follows \n\n$$\n E_{i,G} = exp (e_{i}(x) \\cdot D_T^{-1}(x) e_{i}(x)), \n$$\nwhere $\\cdot$ is the inner product, and **E_{i,G}** are 10 numbers corresponding to the respective predctions. \n\nFinally, we can write the weighted negative log likelihood loss formula used for the evaluation:\n\n$$\n loss = - log (\\sum_{i=0..9} p_i * E_{i,G}),\n$$\nwhere *p_i* is the probability of each kernel; \nthe realizations are assumed equiprobable: *p_i = 1/10*.\n\nThe system returns the mean of the *loss* over the test data.\n\n### Idealized covariance matrix\n\n**D_T^{-1}(x)** is derived by curve-fitting based on the training and test data.\nEach part can be represented as:\n\n$$\nD_T^{-1}(x) = exp \\left( \\log(x) a_k + b_k] \\right),\n$$\nwhere **a_k** (`log_slopes`) and **b_k** (`log_offsets`) are imperical constants depending on the growth mode **k**:\n- **k=1** Close prediction with exponential growth of errors, *x = 1..60*\n- **k=2** Region with stable errors *x = 61..244*\n- **k=3** Region with further growth of errors *x = 245..300*\n\nThe constants for *a* and *b* are provided by these arrays:\n\n```python\nlog_slopes = [1.0406028049510443, 0.0, 7.835345062351012]\nlog_offsets = [-6.430669850650689, -2.1617411566043896, -45.24876794412965]\n```\n\n### References \n\nFor description of the NLL loss see \n1. [NLL concept, Wikipedia](https://en.wikipedia.org/wiki/Negative_log_predictive_density)\n2. [Gaussian function (error), Wikipedia](https://en.wikipedia.org/wiki/Gaussian_function)\n3. [Discussion of applying this loss to geological boundaries in Alyaev and Elsheikh 2022](https://doi.org/10.1029/2021EA002186) \n4. [The current evaluation-metric code](https://www.kaggle.com/code/alin256/nll-for-1d-geology-metric-v5)\n\n### Output format\n#### Columns **1**..**300**\nGeology to be predicted (realization 0 out of 10, zero-indexed). \n\n#### Columns **r_1_pos_1**..**r_1_pos_300** ... **r_9_pos_1**..**r_9_pos_300**\nGeology to be predicted (realizations 1 to 9 out of 10, zero-indexed). \n\nNote: The order of the realizations **0 to 10** does not change the score. \nThis includes realization 0 described above. ", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "rules", "content": "## ENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION RULES.\nSee Section 3.18 for defined terms\n\nThe Competition named below is a skills-based competition to promote and further the field of data science. You must register via the Competition Website to enter. To enter the Competition, you must agree to these Official Competition Rules, which incorporate by reference the provisions and content of the Competition Website and any Specific Competition Rules herein (collectively, the \"Rules\"). Please read these Rules carefully before entry to ensure you understand and agree. You further agree that Submission in the Competition constitutes agreement to these Rules. You may not submit to the Competition and are not eligible to receive the prizes associated with this Competition unless you agree to these Rules. These Rules form a binding legal agreement between you and the Competition Sponsor with respect to the Competition. Your competition Submissions must conform to the requirements stated on the Competition Website. Your Submissions will be scored based on the evaluation metric described on the Competition Website. Subject to compliance with the Competition Rules, Prizes, if any, will be awarded to Participants with the best scores, based on the merits of the data science models submitted. See below for the complete Competition Rules.\n\nYou cannot sign up to Kaggle from multiple accounts and therefore you cannot enter or submit from multiple accounts.\n\n### 1. COMPETITION-SPECIFIC TERMS\n#### 1. COMPETITION TITLE\nGeology Forecast Challenge\n\n#### 2. COMPETITION SPONSOR\nNORCE Norwegian Research Centre\n\n#### 3. COMPETITION SPONSOR ADDRESSES\n**Compatiotion organiser is NORCE:** https://www.norceresearch.no/\n\n**Monetary prizes are sponsored by ROGII Inc.:** https://www.rogii.com/\n\n#### 4. COMPETITION WEBSITE\nhttps://www.kaggle.com/competitions/geology-forecast-challenge-open\n\n#### 5. TOTAL PRIZES AVAILABLE: $1000 provided externally (see details)\nThe top scoring participants would be offered to co-author a journal publication describing \nthe challenge and the effective methodologies. \n\n**Monetary prizes are sponsored by ROGII Inc.**\n\nNORCE will **not** deliver the prizes.\nThe organisers will recommend the top 3 participating teams for the prizes from ROGII Inc. who has allocated a fund of 1000$.\nThe top 3 will be solely determined based on the described competition metric and eligibility criteria.\nThe prizes will be delivered as digital gift cards from ROGII Inc or equivalent upon agreement.\n\n* 1st place: $500 Gift Card or equivalent\n* 2nd place: $270 Gift Card or equivalent\n* 3rd place: $230 Gift Card or equivalent\n\n#### 6. WINNER LICENSE TYPE\nBSD 2-Clause\n\n#### 7. DATA ACCESS AND USE\nFollowing CC BY 4.0 License\n\n### 2. COMPETITION-SPECIFIC RULES\n\nIn addition to the provisions of the General Competition Rules below, you understand and agree to these Competition-Specific Rules required by the Competition Sponsor:\n\nTo claim a prize (see 1.5), submissions must include:\n\n* An Eval submission CSV file, with the prediction results over the Evaluation Dataset.\n* A GitHub or FAIR repository link to your **implementation and trained model** with **README explanation** of how to reproduce the results. If you want to keep your repository private to protect against competition state when it will become available. It needs to be available latest 5 days after the competition finishes. \n* Participants will be disqualified if one or more of the above items are not included or the link is not accessible during evaluation.\n\nUse of external datasets or pre-trained models is permitted but must be disclosed in the README. Users can leverage any architecture or model they want\nSubmissions must include the required files (eval cvs file and model link) or be disqualified.\n\nThe top three positions on the leaderboard may be subject to audit by the challenge organizers. \nYou will receive more information about the process if you are among the top three.\n\n**Disclaimer:** Participants acknowledge that they shall have no right to claim compensation or seek any form of remuneration from Competition Sponsor concerning any prize money or monetary awards (see 1.5). \nAdditionally, participants waive any right to bring any claims or actions against Competition Sponsor for damages or any other form of compensation in relation to prize payments.\n\n#### 1. TEAM LIMITS\na. The maximum Team size is three (3). \n\nb. Team mergers are allowed and can be performed by the Team leader. In order to merge, the combined Team must have a total Submission count less than or equal to the maximum allowed as of the Team Merger Deadline. The maximum allowed is the number of Submissions per day multiplied by the number of days the competition has been running.\n\n#### 2. SUBMISSION LIMITS\na. You may submit a maximum of five (10) Submissions per day.\n\nb. You may select up to two (2) Final Submissions for judging.\n\n#### 3. COMPETITION TIMELINE\na. Competition Timeline dates (including Entry Deadline, Final Submission Deadline, Start Date, and Team Merger Deadline, as applicable) are reflected on the competition’s Overview > Timeline page.\n\n#### 4. COMPETITION DATA\na. Data Access and Use. \n\nSee 1.7.\n\nb. Data Security.\n\nYou agree to use reasonable and suitable measures to prevent persons who have not formally agreed to these Rules from gaining access to the Competition Data. You agree not to transmit, duplicate, publish, redistribute, or otherwise provide or make available the Competition Data to any party not participating in the Competition. You agree to notify Kaggle immediately upon learning of any possible unauthorized transmission of or unauthorized access to the Competition Data and agree to work with Kaggle to rectify any unauthorized transmission or access.\n\n#### 5. WINNER LICENSE\n\na. Under Section 2.8 (Winners Obligations) of the General Rules below, you hereby grant and will grant the Competition Sponsor the following license(s) with respect to your Submission if you are a Competition winner:\n\n*Open Source: You hereby license and will license your winning Submission and the source code used to generate the Submission under an Open Source Initiative-approved license (see www.opensource.org) that in no event limits commercial use of such code or model containing or depending on such code.\n\nFor generally commercially available software that you used to generate your Submission that is not owned by you, but that can be procured by the Competition Sponsor without undue expense, you do not need to grant the license in the preceding Section for that software.\n\nb. You may be required by the Sponsor to provide a detailed description of how the winning Submission was generated, to the Competition Sponsor’s specifications, as outlined in Section 2.8, Winner’s Obligations. This may include a detailed description of methodology, where one must be able to reproduce the approach by reading the description, and includes a detailed explanation of the architecture, preprocessing, loss function, training details, hyper-parameters, etc. The description should also include a link to a code repository with complete and detailed instructions so that the results obtained can be reproduced.\n\n#### 6. EXTERNAL DATA AND TOOLS\na. You may use data other than the Competition Data (“External Data”) to develop and test your Submissions. However, you will ensure the External Data is either publicly available and equally accessible to use by all Participants of the Competition for purposes of the competition at no cost to the other Participants, or satisfies the Reasonableness criteria as outlined in Section 2.6.b below. The ability to use External Data under this Section does not limit your other obligations under these Competition Rules, including but not limited to Section 2.8 (Winners Obligations).\n\nb. The use of external data and models is acceptable unless specifically prohibited by the Host. Because of the potential costs or restrictions (e.g., “geo restrictions”) associated with obtaining rights to use external data or certain software and associated tools, their use must be “reasonably accessible to all” and of “minimal cost”. \n\nc. Automated Machine Learning Tools (“AMLT”)\n\nIndividual Participants and Teams may use automated machine learning tool(s) (“AMLT”) (e.g., Google toML, H2O Driverless AI, etc.) to create a Submission, provided that the Participant or Team ensures that they have an appropriate license to the AMLT such that they are able to comply with the Competition Rules.\n\n#### 7. ELIGIBILITY\n\na. Unless otherwise stated in the Competition-Specific Rules above or prohibited by internal policies of the Competition Entities, employees, interns, contractors, officers and directors of Competition Entities may enter and participate in the Competition, but are not eligible to win any Prizes. \"Competition Entities\" means the Competition Sponsor, Kaggle Inc., and their respective parent companies, subsidiaries and affiliates. If you are such a Participant from a Competition Entity, you are subject to all applicable internal policies of your employer with respect to your participation.\n\nb. The winner's region should be supported by the prize delivery method specified in 1.5.\n\n#### 8. WINNER’S OBLIGATIONS\na. As a condition to being awarded a Prize, a Prize winner must fulfill the following obligations:\n\nDeliver to the Competition Sponsor the final model's software code as used to generate the winning Submission and associated documentation. The delivered software code: \n * should be posted online with the Open-Source license, \n * must be capable of generating the winning Submission (make sure the random seeds are fixed and reproducible), and \n * contain a description of resources required to build and/or run the executable code successfully. \n * for avoidance of doubt, delivered software code should include training code, inference code, and a description of the required computational environment.\n\nb. To the extent that the final model’s software code includes generally commercially available software that is not owned by you, but that can be procured by the Competition Sponsor without undue expense, then instead of delivering the code for that software to the Competition Sponsor, you must identify that software, method for procuring it, and any parameters or other information necessary to replicate the winning Submission; Individual Participants and Teams who create a Submission using an AMLT may win a Prize. However, for clarity, the potential winner’s Submission must still meet the requirements of these Rules, including but not limited to Section 2.5 (Winners License), Section 2.8 (Winners Obligations), and Section 3.14 (Warranty, Indemnity, and Release).”\n\nc. Individual Participants and Teams who create a Submission using an AMLT may win a Prize. However, for clarity, the potential winner’s Submission must still meet the requirements of these Rules,\n\n* Grant to the Competition Sponsor the license to the winning Submission stated in the Competition Specific Rules above, and represent that you have the unrestricted right to grant that license;\n* Sign and return all Prize acceptance documents as may be required by Competition Sponsor or Rogii Inc. (prize sponsor) or Kaggle, including without limitation: (a) eligibility certifications; (b) licenses, releases and other agreements required under the Rules; and (c) relevant tax forms depending on the region.\n\n#### 9. GOVERNING LAW\na. Unless otherwise provided in the Competition Specific Rules above, all claims arising out of or relating to these Rules will be governed by Norwegian law, excluding its conflict of laws rules, and will be litigated exclusively in the court of Bergen, Norway. The parties consent to personal jurisdiction in those courts. If any provision of these Rules is held to be invalid or unenforceable, all remaining provisions of the Rules will remain in full force and effect.\n\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "abstract", "content": "## Geological layer-depth sequences\n\nSubsurface geology is inherently uncertain due to the limited availability of direct measurements and the complexity of geological processes over time. Data from wells, seismic surveys, and logging tools provide partial and sometimes ambiguous information, leaving gaps in our understanding of the subsurface. \nPredicting geological scenarios enables us to integrate available data and reduce uncertainty. Thus, predictive methods enable informed decision-making in applications like drilling, resource extraction, and risk mitigation, ensuring more efficient and safer operations.\n\nMost geological systems are composed of thin layers with different properties deposited on top of each other, forming a flat layer cake of constant thickness in the simplest case. As these layers are buried deeper into subsurface, different physical processes might bend the layers or break them, creating geological faults. \n\n\n**Your task is to create a data-driven model that predicts likely 1D layer-depth sequences based on formations where lateral wells are typically drilled.** The model should generate the geological deformations based on the **geology in the well up to the current drilling location** (input).\n\n\nFigure: 1. Geology with parallel horizontal layers.\n![Geology with parallel horizontal layers](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F832185%2Fb4d93f531a66de875bce3e526d2c3c2c%2Fimage%20(6).png?generation=1736785314112560&alt=media)\n\nFigure 2. Actual 1D geology with faults and dips.\n![Actual 1D geology with faults and dips](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F832185%2F44fc83c8159022d4062502205e3a4248%2Fimage%20(8).png?generation=1736785363139707&alt=media)\n\n\nIf, at a local scale, the assumption of the constant thickness layer cake holds, geology can be defined by delta_z(X), the deformation at each location. \nThe data in this competition is delta_z(x) along the lateral (horizontal) wells, creating 1D layer-depth sequences.\n\n\n\nSuch reconstruction would help with predictions for **geosteering** - the real-time process of directional changes of a well while drilling. The predicted geological realizations can be compared to acquired data to reduce uncertainty, further informing decision-making. One of the possibilities is using this model instead of a proposal distribution in a method similar to a particle filter [Muhammad et al. 2024](https://doi.org/10.2118/218444-MS).\n\n## Competition Financial Sponsor\nThis competition is supported by [ROGII Inc](https://www.rogii.com/). **ROGII** provides software solutions for geology, drilling, and completions teams to use on a customized cloud-based platform.\n\nWe acknowledge ROGII for providing the field data and the monetary prizes.\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "foundational-rules", "content": "The following Kaggle Competition Foundational Rules (“ Foundational Rules ”) apply to every competition regardless of whether the Sponsor creates competition-specific rules. Any competition-specific rules provided by the Sponsor are in addition to these rules, and in the case of any conflict or inconsistency, these Foundational Rules control and nullify contrary competition-specific rules.\n###GENERAL COMPETITION RULES - BINDING AGREEMENT\n####1. ELIGIBILITY\na. To be eligible to enter the Competition, you must be:\n1. a registered account holder at Kaggle.com; \n2. the older of 18 years old or the age of majority in your jurisdiction of residence (unless otherwise agreed to by Competition Sponsor and appropriate parental/guardian consents have been obtained by Competition Sponsor); \n3. not a resident of Crimea, so-called Donetsk People's Republic (DNR) or Luhansk People's Republic (LNR), Cuba, Iran, Syria, or North Korea; and\n4. not a person or representative of an entity under U.S. export controls or sanctions (see: [https://www.treasury.gov/resourcecenter/sanctions/Programs/Pages/Programs.aspx][1]).\n\nb. Competitions are open to residents of the United States and worldwide, except that if you are a resident of Crimea, so-called Donetsk People's Republic (DNR) or Luhansk People's Republic (LNR), Cuba, Iran, Syria, North Korea, or are subject to U.S. export controls or sanctions, you may not enter the Competition. Other local rules and regulations may apply to you, so please check your local laws to ensure that you are eligible to participate in skills-based competitions. The Competition Host reserves the right to forego or award alternative Prizes where needed to comply with local laws. If a winner is located in a country where prizes cannot be awarded, then they are not eligible to receive a prize.\n\nc. If you are entering as a representative of a company, educational institution or other legal entity, or on behalf of your employer, these rules are binding on you, individually, and the entity you represent or where you are an employee. If you are acting within the scope of your employment, or as an agent of another party, you warrant that such party or your employer has full knowledge of your actions and has consented thereto, including your potential receipt of a Prize. You further warrant that your actions do not violate your employer's or entity's policies and procedures. \n\nd. The Competition Sponsor reserves the right to verify eligibility and to adjudicate on any dispute at any time. If you provide any false information relating to the Competition concerning your identity, residency, mailing address, telephone number, email address, ownership of right, or information required for entering the Competition, you may be immediately disqualified from the Competition.\n\n####2. SPONSOR AND HOSTING PLATFORM\n\na. The Competition is sponsored by Competition Sponsor named above. The Competition is hosted on behalf of Competition Sponsor by Kaggle Inc. (\"Kaggle\"). Kaggle is an independent contractor of Competition Sponsor, and is not a party to this or any agreement between you and Competition Sponsor. You understand that Kaggle has no responsibility with respect to selecting the potential Competition winner(s) or awarding any Prizes. Kaggle will perform certain administrative functions relating to hosting the Competition, and you agree to abide by the provisions relating to Kaggle under these Rules. As a Kaggle.com account holder and user of the Kaggle competition platform, remember you have accepted and are subject to the Kaggle Terms of Service at [www.kaggle.com/terms][2] in addition to these Rules.\n\n####3. COMPETITION PERIOD\na. For the purposes of Prizes, the Competition will run from the Start Date and time to the Final Submission Deadline (such duration the “Competition Period”). The Competition Timeline is subject to change, and Competition Sponsor may introduce additional hurdle deadlines during the Competition Period. Any updated or additional deadlines will be publicized on the Competition Website. It is your responsibility to check the Competition Website regularly to stay informed of any deadline changes. YOU ARE RESPONSIBLE FOR DETERMINING THE CORRESPONDING TIME ZONE IN YOUR LOCATION.\n\n####4. COMPETITION ENTRY\na. NO PURCHASE NECESSARY TO ENTER OR WIN. To enter the Competition, you must register on the Competition Website prior to the Entry Deadline, and follow the instructions for developing and entering your Submission through the Competition Website. Your Submissions must be made in the manner and format, and in compliance with all other requirements, stated on the Competition Website (the \"Requirements\"). Submissions must be received before any Submission deadlines stated on the Competition Website. Submissions not received by the stated deadlines will not be eligible to receive a Prize.\nb. Submissions may not use or incorporate information from hand labeling or human prediction of the validation dataset or test data records.\nc. If the Competition is a multi-stage competition with temporally separate training and/or test data, one or more valid Submissions may be required during each Competition stage in the manner described on the Competition Website in order for the Submissions to be Prize eligible.\nd. Submissions are void if they are in whole or part illegible, incomplete, damaged, altered, counterfeit, obtained through fraud, or late. Competition Sponsor reserves the right to disqualify any entrant who does not follow these Rules, including making a Submission that does not meet the Requirements. \n\n####5. INDIVIDUALS AND TEAMS\na. Individual Account. You may make Submissions only under one, unique Kaggle.com account. You will be disqualified if you make Submissions through more than one Kaggle account, or attempt to falsify an account to act as your proxy. You may submit up to the maximum number of Submissions per day as specified on the Competition Website. \nb. Teams. If permitted under the Competition Website guidelines, multiple individuals may collaborate as a Team; however, you may join or form only one Team. Each Team member must be a single individual with a separate Kaggle account. You must register individually for the Competition before joining a Team. You must confirm your Team membership to make it official by responding to the Team notification message sent to your Kaggle account. Team membership may not exceed the Maximum Team Size stated on the Competition Website.\nc. Team Merger. Teams may request to merge via the Competition Website. Team mergers may be allowed provided that: (i) the combined Team does not exceed the Maximum Team Size; (ii) the number of Submissions made by the merging Teams does not exceed the number of Submissions permissible for one Team at the date of the merger request; (iii) the merger is completed before the earlier of: any merger deadline or the Competition deadline; and (iv) the proposed combined Team otherwise meets all the requirements of these Rules. \nd. Private Sharing. No private sharing outside of Teams. Privately sharing code or data outside of Teams is not permitted. It's okay to share code if made available to all Participants on the forums.\n\n####6. SUBMISSION CODE REQUIREMENTS\na. Private Code Sharing. Unless otherwise specifically permitted under the Competition Website or Competition Specific Rules above, during the Competition Period, you are not allowed to privately share source or executable code developed in connection with or based upon the Competition Data or other source or executable code relevant to the Competition (“Competition Code”). This prohibition includes sharing Competition Code between separate Teams, unless a Team merger occurs. Any such sharing of Competition Code is a breach of these Competition Rules and may result in disqualification.\nb. Public Code Sharing. You are permitted to publicly share Competition Code, provided that such public sharing does not violate the intellectual property rights of any third party. If you do choose to share Competition Code or other such code, you are required to share it on Kaggle.com on the discussion forum or notebooks associated specifically with the Competition for the benefit of all competitors. By so sharing, you are deemed to have licensed the shared code under an Open Source Initiative-approved license (see [www.opensource.org][3]) that in no event limits commercial use of such Competition Code or model containing or depending on such Competition Code.\nc. Use of Open Source. Unless otherwise stated in the Specific Competition Rules above, if open source code is used in the model to generate the Submission, then you must only use open source code licensed under an Open Source Initiative-approved license (see [www.opensource.org][4]) that in no event limits commercial use of such code or model containing or depending on such code.\n\n####7. DETERMINING WINNERS\na. Each Submission will be scored and ranked by the evaluation metric stated on the Competition Website. During the Competition Period, the current ranking will be visible on the Competition Website's Public Leaderboard. The potential winner(s) are determined solely by the leaderboard ranking on the Private Leaderboard, subject to compliance with these Rules. The Public Leaderboard will be based on the public test set and the Private Leaderboard will be based on the private test set.\nb. In the event of a tie, the Submission that was entered first to the Competition will be the winner. In the event a potential winner is disqualified for any reason, the Submission that received the next highest score rank will be chosen as the potential winner.\n\n####8. NOTIFICATION OF WINNERS & DISQUALIFICATION\na. The potential winner(s) will be notified by email. \nb. If a potential winner (i) does not respond to the notification attempt within one (1) week from the first notification attempt or (ii) notifies Kaggle within one week after the Final Submission Deadline that the potential winner does not want to be nominated as a winner or does not want to receive a Prize, then, in each case (i) and (ii) such potential winner will not receive any Prize, and an alternate potential winner will be selected from among all eligible entries received based on the Competition’s judging criteria.\nc. In case (i) and (ii) above Kaggle may disqualify the Participant. However, in case (ii) above, if requested by Kaggle, such potential winner may provide code and documentation to verify the Participant’s compliance with these Rules. If the potential winner provides code and documentation to the satisfaction of Kaggle, the Participant will not be disqualified pursuant to this paragraph.\nd. Competition Sponsor reserves the right to disqualify any Participant from the Competition if the Competition Sponsor reasonably believes that the Participant has attempted to undermine the legitimate operation of the Competition by cheating, deception, or other unfair playing practices or abuses, threatens or harasses any other Participants, Competition Sponsor or Kaggle.\ne. A disqualified Participant may be removed from the Competition leaderboard, at Kaggle's sole discretion. If a Participant is removed from the Competition Leaderboard, additional winning features associated with the Kaggle competition platform, for example Kaggle points or medals, may also not be awarded.\nf. The final leaderboard list will be publicly displayed at Kaggle.com. Determinations of Competition Sponsor are final and binding.\n\n####9. PRIZES\na. Prize(s) are as described on the Competition Website and are only available for winning during the time period described on the Competition Website. The odds of winning any Prize depends on the number of eligible Submissions received during the Competition Period and the skill of the Participants. \nb. All Prizes are subject to Competition Sponsor's review and verification of the Participant’s eligibility and compliance with these Rules, and the compliance of the winning Submissions with the Submissions Requirements. In the event that the Submission demonstrates non-compliance with these Competition Rules, Competition Sponsor may at its discretion take either of the following actions: (i) disqualify the Submission(s); or (ii) require the potential winner to remediate within one week after notice all issues identified in the Submission(s) (including, without limitation, the resolution of license conflicts, the fulfillment of all obligations required by software licenses, and the removal of any software that violates the software restrictions).\nc. A potential winner may decline to be nominated as a Competition winner in accordance with Section 3.8.\nd. Potential winners must return all required Prize acceptance documents within two (2) weeks following notification of such required documents, or such potential winner will be deemed to have forfeited the prize and another potential winner will be selected. Prize(s) will be awarded within approximately thirty (30) days after receipt by Competition Sponsor or Kaggle of the required Prize acceptance documents. Transfer or assignment of a Prize is not allowed. \ne. You are not eligible to receive any Prize if you do not meet the Eligibility requirements in Section 2.7 and Section 3.1 above.\nf. If a Team wins a monetary Prize, the Prize money will be allocated in even shares between the eligible Team members, unless the Team unanimously opts for a different Prize split and notifies Kaggle before Prizes are issued.\n\n####10. TAXES\na. ALL TAXES IMPOSED ON PRIZES ARE THE SOLE RESPONSIBILITY OF THE WINNERS. Payments to potential winners are subject to the express requirement that they submit all documentation requested by Competition Sponsor or Kaggle for compliance with applicable state, federal, local and foreign (including provincial) tax reporting and withholding requirements. Prizes will be net of any taxes that Competition Sponsor is required by law to withhold. If a potential winner fails to provide any required documentation or comply with applicable laws, the Prize may be forfeited and Competition Sponsor may select an alternative potential winner. Any winners who are U.S. residents will receive an IRS Form-1099 in the amount of their Prize.\n\n####11. GENERAL CONDITIONS\na. All federal, state, provincial and local laws and regulations apply.\n\n####12. PUBLICITY\na. You agree that Competition Sponsor, Kaggle and its affiliates may use your name and likeness for advertising and promotional purposes without additional compensation, unless prohibited by law.\n\n####13. PRIVACY\na. You acknowledge and agree that Competition Sponsor and Kaggle may collect, store, share and otherwise use personally identifiable information provided by you during the Kaggle account registration process and the Competition, including but not limited to, name, mailing address, phone number, and email address (“Personal Information”). Kaggle acts as an independent controller with regard to its collection, storage, sharing, and other use of this Personal Information, and will use this Personal Information in accordance with its Privacy Policy <[www.kaggle.com/privacy][6]>, including for administering the Competition. As a Kaggle.com account holder, you have the right to request access to, review, rectification, portability or deletion of any personal data held by Kaggle about you by logging into your account and/or contacting Kaggle Support at <[www.kaggle.com/contact][7]>.\nb. As part of Competition Sponsor performing this contract between you and the Competition Sponsor, Kaggle will transfer your Personal Information to Competition Sponsor, which acts as an independent controller with regard to this Personal Information. As a controller of such Personal Information, Competition Sponsor agrees to comply with all U.S. and foreign data protection obligations with regard to your Personal Information. Kaggle will transfer your Personal Information to Competition Sponsor in the country specified in the Competition Sponsor Address listed above, which may be a country outside the country of your residence. Such country may not have privacy laws and regulations similar to those of the country of your residence.\n\n####14. WARRANTY, INDEMNITY AND RELEASE \na. You warrant that your Submission is your own original work and, as such, you are the sole and exclusive owner and rights holder of the Submission, and you have the right to make the Submission and grant all required licenses. You agree not to make any Submission that: (i) infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; or (ii) otherwise violates any applicable U.S. or foreign state or federal law.\nb. To the maximum extent permitted by law, you indemnify and agree to keep indemnified Competition Entities at all times from and against any liability, claims, demands, losses, damages, costs and expenses resulting from any of your acts, defaults or omissions and/or a breach of any warranty set forth herein. To the maximum extent permitted by law, you agree to defend, indemnify and hold harmless the Competition Entities from and against any and all claims, actions, suits or proceedings, as well as any and all losses, liabilities, damages, costs and expenses (including reasonable attorneys fees) arising out of or accruing from: (a) your Submission or other material uploaded or otherwise provided by you that infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; (b) any misrepresentation made by you in connection with the Competition; (c) any non-compliance by you with these Rules or any applicable U.S. or foreign state or federal law; (d) claims brought by persons or entities other than the parties to these Rules arising from or related to your involvement with the Competition; and (e) your acceptance, possession, misuse or use of any Prize, or your participation in the Competition and any Competition-related activity.\nc. You hereby release Competition Entities from any liability associated with: (a) any malfunction or other problem with the Competition Website; (b) any error in the collection, processing, or retention of any Submission; or (c) any typographical or other error in the printing, offering or announcement of any Prize or winners.\n\n####15. INTERNET\na. Competition Entities are not responsible for any malfunction of the Competition Website or any late, lost, damaged, misdirected, incomplete, illegible, undeliverable, or destroyed Submissions or entry materials due to system errors, failed, incomplete or garbled computer or other telecommunication transmission malfunctions, hardware or software failures of any kind, lost or unavailable network connections, typographical or system/human errors and failures, technical malfunction(s) of any telephone network or lines, cable connections, satellite transmissions, servers or providers, or computer equipment, traffic congestion on the Internet or at the Competition Website, or any combination thereof, which may limit a Participant’s ability to participate.\n\n####16. RIGHT TO CANCEL, MODIFY OR DISQUALIFY\na. If for any reason the Competition is not capable of running as planned, including infection by computer virus, bugs, tampering, unauthorized intervention, fraud, technical failures, or any other causes which corrupt or affect the administration, security, fairness, integrity, or proper conduct of the Competition, Competition Sponsor reserves the right to cancel, terminate, modify or suspend the Competition. Competition Sponsor further reserves the right to disqualify any Participant who tampers with the submission process or any other part of the Competition or Competition Website. Any attempt by a Participant to deliberately damage any website, including the Competition Website, or undermine the legitimate operation of the Competition is a violation of criminal and civil laws. Should such an attempt be made, Competition Sponsor and Kaggle each reserves the right to seek damages from any such Participant to the fullest extent of the applicable law.\n\n####17. NOT AN OFFER OR CONTRACT OF EMPLOYMENT\na. Under no circumstances will the entry of a Submission, the awarding of a Prize, or anything in these Rules be construed as an offer or contract of employment with Competition Sponsor or any of the Competition Entities. You acknowledge that you have submitted your Submission voluntarily and not in confidence or in trust. You acknowledge that no confidential, fiduciary, agency, employment or other similar relationship is created between you and Competition Sponsor or any of the Competition Entities by your acceptance of these Rules or your entry of your Submission.\n\n####18. DEFINITIONS\na. \"Competition Data\" are the data or datasets available from the Competition Website for the purpose of use in the Competition, including any prototype or executable code provided on the Competition Website. The Competition Data will contain private and public test sets. Which data belongs to which set will not be made available to Participants. \nb. An “Entry” is when a Participant has joined, signed up, or accepted the rules of a competition. Entry is required to make a Submission to a competition.\nc. A “Final Submission” is the Submission selected by the user, or automatically selected by Kaggle in the event not selected by the user, that is/are used for final placement on the competition leaderboard.\nd. A “Participant” or “Participant User” is an individual who participates in a competition by entering the competition and making a Submission.\ne. The “Private Leaderboard” is a ranked display of Participants’ Submission scores against the private test set. The Private Leaderboard determines the final standing in the competition.\nf. The “Public Leaderboard” is a ranked display of Participants’ Submission scores against a representative sample of the test data. This leaderboard is visible throughout the competition.\ng. A “Sponsor” is responsible for hosting the competition, which includes but is not limited to providing the data for the competition, determining winners, and enforcing competition rules.\nh. A “Submission” is anything provided by the Participant to the Sponsor to be evaluated for competition purposes and determine leaderboard position. A Submission may be made as a model, notebook, prediction file, or other format as determined by the Sponsor.\ni. A “Team” is one or more Participants participating together in a Kaggle competition, by officially merging together as a Team within the competition platform.\n\n [1]: https://www.treasury.gov/resource-center/sanctions/Programs/Pages/Programs.aspx\n [2]: http://www.kaggle.com/terms\n [3]: http://www.opensource.org\n [4]: http://www.opensource.org\n [5]: https://www.kaggle.com/WinningModelDocumentationGuidelines\n [6]: http://www.kaggle.com/privacy\n [7]: http://www.kaggle.com/contact\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Prizes", "content": "The total monetary pot of 1000$ is provided by ROGII. NORCE will **not** deliver the monetary prizes. Top-performing competitors will be invited to write an article summarizing the findings with NORCE co-authors. \n\nThe organisers will recommend the top 3 participating teams for the prizes from ROGII Inc., who has allocated a fund of 1000$. The prizes will be delivered as digital gift cards from ROGII Inc. or equivalent upon agreement.\n\n* 1st place: $500 Gift Card or equivalent\n* 2nd place: $270 Gift Card or equivalent\n* 3rd place: $230 Gift Card or equivalent", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false } ] }