{ "fetched_at": "2026-10-20T07:13:25Z", "source_url": "https://www.kaggle.com/competitions/genuityxethos/data", "pages": [ { "name": "data-description", "content": "The dataset contains the price history and trading volumes of the fifty constituent stocks of the NIFTY 50 index from the National Stock Exchange (NSE) of India.\nIt spans the period from 1 January 2000 to 30 April 2021.\n\nFor the purpose of this dataset, the timeline has been represented using timestamps variable (t), and only a randomly selected subset of trading days has been included for illustration.\n\nAcknowledgements\nNSE India: https://www.nseindia.com/\nThanks to NSE for providing all the data publicly.", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Description", "content": "## Competition Description\n\nSynthetic data is becoming a vital tool in modern data science, enabling research, innovation, and product development while preserving privacy. In time-series applications, generating synthetic sequences is especially valuable for domains like finance, healthcare, and IoT, where sensitive real data cannot be openly shared.\n\nIn this challenge, organized by **Genuity** in collaboration with **ETHOS Coding Club, IIT Guwahati**, your task is to build high-quality **synthetic time-series datasets** using our open-source library. The competition is part of ETHOS, IIT Guwahati’s annual coding fest, and is designed to give participants hands-on exposure to cutting-edge generative modeling techniques for tabular and temporal data.\n\n### Problem details\n- You are given a **multivariate time-series dataset** with equally spaced timestamps. \n- A **60% split** of this dataset is provided to you as `real_0.6.csv`. \n- The remaining **40%** is held back by the organizers and the evaluation done on whole dataset.\n- Your objective is to generate a synthetic dataset of 3322 rows and same schema as the training set, using the functions available in the Genuity library.\n\nA combined score will determine the leaderboard ranking. Public leaderboard scores are based on part of the hidden data, while final prizes are awarded based on private leaderboard scores.\n\n### Why this matters\n- **Research relevance:** Learn how synthetic data can safely unlock insights from time-series. \n- **Practical skills:** Work with a production-grade synthetic data library. \n- **Community impact:** Contribute to the growing ecosystem of tools for privacy-preserving data science. \n\n---\n\nBy the end of the competition, participants will not only showcase their ability to generate realistic synthetic time-series but also gain deeper insight into the scientific principles of generative modeling and evaluation.\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Evaluation", "content": "Submissions will be evaluated using a composite score that balances data utility, privacy, and realism. Each submission must generate a synthetic dataset with the **same schema and row count** as the provided training data. Files that do not match the required format will be rejected.\n\nThe final score for each submission is computed as the **average of three components**:\n\n1. **Statistical Similarity:** \n Measures how closely the statistical properties of the synthetic dataset align with those of the real data. This includes checks on distributions, correlations, and autocorrelation structures.\n\n2. **Privacy Score:** \n Evaluates the extent to which the synthetic data protects against direct leakage of the original training rows. Higher privacy scores indicate lower risk of memorization or record re-identification.\n\n3. **Detectability Score:** \n Assesses how difficult it is to distinguish between real and synthetic samples. A lower detectability means the synthetic data is more realistic.\n\nThe overall leaderboard ranking is determined by:\n\n$$\nFinal\\ Score = \\frac{Statistical Score+ Privacy\\ Score - Detectability\\ Score}{2}\n$$\n\n---\n\n## Submission File\nSubmissions must be uploaded as a single CSV file with the same columns as `real_0.6.csv`. The file must include:\n\n- **row_id_column_name** — unique identifier for each row from 0-3321.(Should be the first column)\n- **feature columns** — all feature names exactly as in `real_0.6.csv` \n\nThe number of rows in your submission must be exactly 3322.\n\nFiles with missing values, schema mismatches, or incorrect row counts will be disqualified.\n", "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.\n\n**See Section 18 for defined terms.**\n\n*This is a skills-based competition to promote and further the field of data science. To enter the Competition you must register on the Competition Website and accept these Official Competition Rules (the “Rules”). Submitting an entry constitutes agreement to these Rules. Please read these Rules carefully before entry. You may not submit to the Competition or be eligible for prizes unless you agree to these Rules.*\n\n**You cannot sign up to Kaggle from multiple accounts and therefore you cannot enter or submit from multiple accounts.**\n\n---\n\n### 1. COMPETITION-SPECIFIC TERMS\n\n**1. COMPETITION TITLE** \nEthos × Genuity — Synthetic Time-Series Challenge\n\n**2. COMPETITION SPONSOR** \nGenuityio (in collaboration with ETHOS — Coding Club, IIT Guwahati)\n\n**3. COMPETITION SPONSOR ADDRESS** \nshivansh23123@gmail.com\n\n**4. COMPETITION WEBSITE** \nhttps://www.kaggle.com/competitions/ethos-genuity-synthetic-time-series\n\n**5. TOTAL PRIZES AVAILABLE** \nTotal Prize Pool: **₹45,000 INR**\n\n- **1st Prize:** ₹20,000 INR \n- **2nd Prize:** ₹15,000 INR \n- **3rd Prize:** ₹10,000 INR \n\n> **Non-monetary prize:** Top 10 finalists will receive direct interview opportunities at Genuityio. Winners will also be publicly recognized by Genuityio and ETHOS.\n\n**6. WINNER LICENSE TYPE** \nWinners will be required to grant a **non-exclusive, worldwide, royalty-free license** to the Competition Sponsor to use the winning Submission and the source code used to generate it. In addition, winners must publish winning code and detailed reproduction instructions under an **Open Source Initiative (OSI)-approved license** (unless the Sponsor agrees otherwise in writing or an incompatible third-party license prevents full open sourcing). See Section 2.5 below for full license language.\n\n**7. DATA ACCESS AND USE** \nParticipants may access and use the Competition Data for **Competition Use and Non-Commercial & Academic Research** purposes only. This includes participation in the Competition and posting on the Competition forums. Use of Competition Data beyond these purposes (commercial exploitation or redistribution outside the Competition forums) is prohibited unless explicitly authorized by the Sponsor. The Sponsor reserves the right to disqualify any Participant who uses the Competition Data other than as permitted by the Competition Website and these Rules.\n\n---\n\n## 2. COMPETITION-SPECIFIC RULES\n\nIn addition to the General Competition Rules, the following rules apply to this Competition:\n\n### 2.1 TEAM LIMITS\na. Maximum Team size is **one (1)** members. \nb. Team mergers are allowed. Merged teams must not exceed the maximum Team size and must comply with Kaggle’s team-merger rules. Mergers must be completed before the Team Merger Deadline posted on the Competition Timeline.\n\n### 2.2 SUBMISSION LIMITS\na. A maximum of **one (1)** Submissions per day per account or team is permitted (subject to Kaggle platform limits). \nb. Each Participant or Team may designate up to **two (2)** Final Submissions for final judging (as per Kaggle UI).\n\n### 2.3 COMPETITION TIMELINE\nCompetition timeline dates (Start Date, Entry Deadline, Final Submission Deadline, Team Merger Deadline, etc.) are posted on the Competition Overview > Timeline page. All times are as published on the Kaggle competition page in the platform timezone. Participants are responsible for confirming deadlines in their local time zones.\n\n### 2.4 COMPETITION DATA\n\n#### a. Data Access and Use\n- The Competition Data is provided for **Competition Use and Non-Commercial & Academic Research**. You may use Competition Data to develop and test Submissions for the Competition and to post in Competition forums. Commercial use or redistribution beyond this scope is not permitted unless explicitly authorized by the Sponsor. \n- The Sponsor may attach additional terms or a special license URL to the Competition Data; such terms will be published on the Competition Website if applicable.\n\n#### b. Data Security\n- Participants agree to reasonably protect Competition Data from unauthorized access. Do not transmit, duplicate, publish, redistribute, or otherwise disclose Competition Data to any party not participating in the Competition. \n- Notify Kaggle immediately if you become aware of any unauthorized access or leakage of Competition Data and cooperate with Kaggle/Sponsor to remediate.\n\n### 2.5 WINNER LICENSE\na. If you are selected as a Competition winner, you hereby grant to the Competition Sponsor the following license: \n **Non-exclusive license:** a worldwide, non-exclusive, sub-licensable, transferable, fully paid-up, royalty-free, perpetual, irrevocable right to use, reproduce, distribute, create derivative works of, publicly perform, publicly display and otherwise exploit the winning Submission and the source code used to generate the Submission for any purpose, including commercial purposes, without further approval or payment to you. \n\nb. **Open Source requirement for winning code:** The Sponsor requires winners to publish the winning code and reproduction instructions under an **OSI-approved open source license** that does not limit commercial use, unless there is an incompatible third-party license preventing such publication. If incompatible licensed inputs or pre-trained models are used, identify them and provide instructions sufficient for Sponsor to reproduce the result using commercially available alternatives where possible.\n\nc. Winners must provide a reproducible description and documentation enabling the Sponsor to reproduce the winning Submission, including architecture details, preprocessing steps, loss functions, hyper-parameters, and exact commands to run training and inference, as detailed in Section 2.8 (Winner Obligations).\n\n### 2.6 EXTERNAL DATA AND TOOLS\na. External Data (data other than Competition Data) may be used only if it is publicly available and equally accessible to all Participants at minimal cost, or otherwise meets the Sponsor’s Reasonableness Standard. Participants must **disclose** all External Data and pre-trained models used in their Submission in the Winning Documentation and Kaggle Notebook. \n\nb. The Sponsor will evaluate whether a particular External Data source or tool is permissible under the Reasonableness Standard. External resources that impose excessive cost or exclusive access that would unfairly disadvantage Participants may be disallowed.\n\nc. **Automated Machine Learning Tools (AMLT):** Use of AMLT platforms (e.g., Google AutoML, H2O Driverless AI) is permitted provided the Participant has an appropriate license to use the tool and the resulting Submission complies with these Rules. If the AMLT is proprietary, document how the Sponsor can reproduce the results (e.g., parameters, exportable artifacts).\n\n### 2.7 EMPLOYEES AND AFFILIATES\nUnless otherwise stated, employees, contractors, officers and directors of the Sponsor, ETHOS, Kaggle, and their respective affiliates may participate but are **not eligible** to receive monetary prizes. Such Participants remain subject to all internal employer policies.\n\n### 2.8 WINNER’S OBLIGATIONS\nAs a condition of receiving a Prize, a potential winner must: \n1. Provide the Competition Sponsor with the final model software code used to generate the winning Submission, including training and inference code, complete documentation, and reproduction instructions that follow the [Kaggle Winning Model Documentation Guidelines](https://www.kaggle.com/WinningModelDocumentationGuidelines). The delivered materials must enable the Sponsor to generate the winning Submission. \n2. Grant the license described in Section 2.5. \n3. Return any required Prize acceptance documentation (including tax forms) within the timeline specified by the Sponsor. Failure to provide required documentation may forfeit the Prize. \n4. Disclose all External Data, pre-trained models, and third-party tools used in producing the Submission. \n5. If selected among the Top 10 finalists, agree to participate in a recruitment interview process with Genuityio (interview offers are conditional, and do not guarantee employment).\n\n### 2.9 ELIGIBILITY & DISQUALIFICATION\na. The Sponsor reserves the right to verify eligibility and disqualify any Participant who violates these Rules, attempts to manipulate results, or engages in abusive behavior. \nb. Submissions that trivially copy training rows, contain schema mismatches, or violate data use restrictions will be disqualified.\n\n### 2.10 PRIZE DISTRIBUTION & TAXES\na. Prizes will be awarded as described on the Competition Website and are subject to verification and compliance with these Rules. \nb. Winners are responsible for any taxes associated with prize receipt. Winners may be required to provide tax documentation as required by law.\n\n### 2.11 GOVERNING LAW\nUnless otherwise provided in Competition Specific Rules, these Rules will be governed by the laws of the State of California and disputes will be resolved in the state or federal courts located in Santa Clara County, California, USA.\n\n---\n\n## 3. DEFINITIONS (KEY TERMS)\n\n- **Competition Data:** The dataset and any supporting files provided on the Competition Website. \n- **Submission:** Any file, model, notebook, or other materials uploaded to Kaggle for evaluation. \n- **Public Leaderboard:** Rankings based on a portion of the held-out data used for public scoring during the Competition. \n- **Private Leaderboard:** Rankings based on the private held-out data used for final scoring and prize determination. \n- **Participant:** An individual or Team that registers and submits to the Competition. \n- **Team:** A group of Participants participating under one Kaggle Team. \n- **Sponsor:** Genuityio (in collaboration with ETHOS, IIT Guwahati).\n\n---\n\n## 4. MISCELLANEOUS\n- Any terms not defined herein shall have the meaning ascribed to them in the General Competition Rules published by Kaggle. \n- The Sponsor reserves the right to amend these Competition Specific Rules as necessary; changes will be posted on the Competition Website.\n\n---\n\n*End of Competition Specific Rules.*\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "abstract", "content": "# Ethos × Genuity — Synthetic Time-Series Challenge\n\nBuild realistic synthetic time-series using Genuity’s open-source library train on partial real data and prove your synthetic data generalizes to hidden real samples.\n\n## Welcome & goal\nJoin **ETHOS :Coding Club, IIT Guwahati** and **Genuity** for a hands-on Kaggle challenge. You will receive **`real_0.6.csv`**, which contains 60% of a multivariate time-series dataset (1,993 rows). The remaining 40% of the real dataset is hidden and will be used exclusively for scoring. \n\nYour task is to generate a **synthetic dataset matching the full 100% size of the real dataset** (3322 rows). Timestamps need not be preserved, but the timestamp column in your submission must be in strictly ascending order.\n\n## What to submit\n- A **CSV file only** that:\n - Matches the schema of `real_0.6.csv`.\n - Contains exactly the **full dataset row count** (3322).\n - Has an extra first column named **`row_id_column_name`**, which must contain serial numbers for each row starting from 0(0 for 1st row and 3321 for last).\n- Mandatory to remove 'Series' column.\n- Submissions that do not follow these requirements (row count mismatch, wrong column order/naming, or wrong format) will not be scored.\n- Include reproducible code in a Kaggle Notebook (baseline notebook and starter kit are provided).\n\n## Why participate\n- Gain practical experience with production-grade synthetic data tools. \n- Get an exciting chance to get hired at **Genuity IO**. \n- Compete for prizes, receive mentorship from Genuity IO, and showcase your approach to a wider audience.\n\n## Quick note / rules\n- Submissions that trivially copy training rows will be rejected. \n- External public data is allowed if disclosed; no private or proprietary external data. \n- **Scores are calculated across the entire 100% dataset**, with the hidden 40% ensuring fairness and preventing overfitting.\n\n\n## Github Repo of the Genuity library \n- Github Repo for the library: https://github.com/S-G-mathematics/genuity_os\nMandatory to join this WhatsApp Group\nhttps://chat.whatsapp.com/HBFItT0YtdkAqDaomVfXxM", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Prizes", "content": "\nTotal Prize Pool: **₹45,000 INR**\n\n- **1st Place** — ₹20,000 INR \n- **2nd Place** — ₹15,000 INR \n- **3rd Place** — ₹10,000 INR \n\n### Non-Monetary Prizes\n- **Top 10 finalists** will receive a **direct hiring interview opportunity at Genuity**. \n- Winners will also be featured on Genuity platform, with recognition for their contributions.\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 } ] }