## ENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION RULES. **See Section 18 for defined terms.** *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.* **You cannot sign up to Kaggle from multiple accounts and therefore you cannot enter or submit from multiple accounts.** --- ### 1. COMPETITION-SPECIFIC TERMS **1. COMPETITION TITLE** Ethos × Genuity — Synthetic Time-Series Challenge **2. COMPETITION SPONSOR** Genuityio (in collaboration with ETHOS — Coding Club, IIT Guwahati) **3. COMPETITION SPONSOR ADDRESS** shivansh23123@gmail.com **4. COMPETITION WEBSITE** https://www.kaggle.com/competitions/ethos-genuity-synthetic-time-series **5. TOTAL PRIZES AVAILABLE** Total Prize Pool: **₹45,000 INR** - **1st Prize:** ₹20,000 INR - **2nd Prize:** ₹15,000 INR - **3rd Prize:** ₹10,000 INR > **Non-monetary prize:** Top 10 finalists will receive direct interview opportunities at Genuityio. Winners will also be publicly recognized by Genuityio and ETHOS. **6. WINNER LICENSE TYPE** Winners 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. **7. DATA ACCESS AND USE** Participants 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. --- ## 2. COMPETITION-SPECIFIC RULES In addition to the General Competition Rules, the following rules apply to this Competition: ### 2.1 TEAM LIMITS a. Maximum Team size is **one (1)** members. b. 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. ### 2.2 SUBMISSION LIMITS a. A maximum of **one (1)** Submissions per day per account or team is permitted (subject to Kaggle platform limits). b. Each Participant or Team may designate up to **two (2)** Final Submissions for final judging (as per Kaggle UI). ### 2.3 COMPETITION TIMELINE Competition 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. ### 2.4 COMPETITION DATA #### a. Data Access and Use - 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. - 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. #### b. Data Security - 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. - Notify Kaggle immediately if you become aware of any unauthorized access or leakage of Competition Data and cooperate with Kaggle/Sponsor to remediate. ### 2.5 WINNER LICENSE a. If you are selected as a Competition winner, you hereby grant to the Competition Sponsor the following license: **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. b. **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. c. 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). ### 2.6 EXTERNAL DATA AND TOOLS a. 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. b. 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. c. **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). ### 2.7 EMPLOYEES AND AFFILIATES Unless 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. ### 2.8 WINNER’S OBLIGATIONS As a condition of receiving a Prize, a potential winner must: 1. 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. 2. Grant the license described in Section 2.5. 3. 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. 4. Disclose all External Data, pre-trained models, and third-party tools used in producing the Submission. 5. 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). ### 2.9 ELIGIBILITY & DISQUALIFICATION a. 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. b. Submissions that trivially copy training rows, contain schema mismatches, or violate data use restrictions will be disqualified. ### 2.10 PRIZE DISTRIBUTION & TAXES a. Prizes will be awarded as described on the Competition Website and are subject to verification and compliance with these Rules. b. Winners are responsible for any taxes associated with prize receipt. Winners may be required to provide tax documentation as required by law. ### 2.11 GOVERNING LAW Unless 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. --- ## 3. DEFINITIONS (KEY TERMS) - **Competition Data:** The dataset and any supporting files provided on the Competition Website. - **Submission:** Any file, model, notebook, or other materials uploaded to Kaggle for evaluation. - **Public Leaderboard:** Rankings based on a portion of the held-out data used for public scoring during the Competition. - **Private Leaderboard:** Rankings based on the private held-out data used for final scoring and prize determination. - **Participant:** An individual or Team that registers and submits to the Competition. - **Team:** A group of Participants participating under one Kaggle Team. - **Sponsor:** Genuityio (in collaboration with ETHOS, IIT Guwahati). --- ## 4. MISCELLANEOUS - Any terms not defined herein shall have the meaning ascribed to them in the General Competition Rules published by Kaggle. - The Sponsor reserves the right to amend these Competition Specific Rules as necessary; changes will be posted on the Competition Website. --- *End of Competition Specific Rules.*