About DataGateway: DataGateway is a Japanese startup with a mission to build a more digital society by applying the power of cutting-edge technology including AI, blockchain, and decentralized computing. One of DataGateway's clients is looking for an algorithm that predicts the number of views that videos uploaded to their platform are likely to get so they can maximize views. This algorithm will also help the company price the ads shown in the videos on its platform. About this challenge: The goal of this competition is to develop a machine learning model to predict the number of views that videos are likely to receive based on attributes such as duration, location, and time published.
1st Prize ($ 1500)
2nd Prize ($ 1000)
3rd Prize ($ 500)
- 18 Jan 2021 Competition Starts
- 31 Mar 2021 Competition Ends
- 21 Apr 2021 Winners Announced (Subject to change based on submission results)
In order to build your machine learning model, we have provided the following data sets: 1. Metadata comp_id: Unique ID ad_blocked: Indicates whether or not ads are blocked on the video embed: Indicates whether or not the video can be embedded ratio: The aspect ratio of the video duration: Duration of the video (in seconds) language: Language used in the video (encoded) partner: Indicates whether the video is certified by the partner/sponsor partner_active: Indicates whether the partner/sponsor is still active n_likes: The number of likes the video has n_tags: The number of tags in the video n_formats: The number of streaming formats available for the video dayofweek: The day of week when the video was published hour: The hour when the video was published (24-hour time format) 2. Image data Thumbnail pixel data 3. Title data Vectorized title data 4. Description data Vectorized descriptions *Training datasets are marked with 'train_' at the beginning of their filenames. Please use these sets to develop the model. Datasets marked 'public_' at the beginning of their filenames are sets you can use to make predictions with your model and test how well your model performs on unseen data. The submission file should follow the same format as the example file (solution_format.csv). Submissions are evaluated on e^(-RMSE/MAX(observed_values)), where Root Mean Squared Error is calculated between the predicted values and observed values. NOTE: You may submit a solution file up to 5 times a day. A few minutes after submitting your solution, you will see the accuracy of your solution on the submission page over a subset of the test data. Final competition results are based on the Private Leaderboard results, and the winner will be the user at the top of the Private Leaderboard.
Who do I contact if I need help regarding a competition?
For any inquiries, please contact us at firstname.lastname@example.org
How will I know if I’ve won?
If you are one of the top three winners for this competition, we will email you with the final result and information about how to claim your reward.
How can I report a bug?
Please shoot us an email at email@example.com with details and a description of the bug you are facing, and if possible, please attach a screenshot of the bug itself.
If I win, how can I receive my reward?
Prizes can be delivered via PayPal, wire transfer, or other suitable payment transfer method. We will do our best to accommodate your payment preference as best as possible depending on your location and our ability to do so.
What metric is used for evaluation in this competition?
Submissions are evaluated on e^(-RMSE/MAX(observed_values)), where Root Mean Squared Error is calculated between the predicted values and observed values.
1. This competition is governed by the following Terms of Participation. Participants must agree to and comply with these Terms to participate. 2. Users can make a maximum number of five submissions per day. If users want to submit new files after making five submissions in a day, they will have to wait until the following day to do so. Please keep this in mind when uploading a submission.csv file. 3. The use of external datasets is not allowed. 4. A competition prize will be awarded after we have received, successfully executed, and confirmed the validity of both the code and the solution. Once winners are announced and our team reaches out to them, the winners must provide the following by April 7, 2021 to be qualified as a competition winner and receive their prize: a. All source files required to preprocess the data b. All source files required to build, train and make predictions with the model using the processed data c. A requirements.txt (or equivalent) file indicating all the required libraries and their versions as needed d. A ReadMe file containing the following: • Clear and unambiguous instructions on how to reproduce the predictions from start to finish including data pre-processing, feature extraction, model training and predictions generation • Environment details regarding where the model was developed and trained, including OS, memory (RAM), disk space, CPU/GPU used, and any required environment configurations required to execute the code • Clear answers to the following questions: - Which data files are being used? - How are these files processed? - What is the algorithm used and what are its main hyperparameters? - Any other comments considered relevant to understanding and using the model In the event these items are not provided or do not meet the minimum requirements listed above, we will not be able to award the winner with their respective prize. 5. Payments to winners may be subject to local, state, federal and foreign tax reporting and withholding requirements. 6. If two or more participants have the same score on the leaderboard, the participant who submitted the winning file first will be considered the winner. 7. All submissions need to be made as an individual; no teams are allowed in this competition. Users who do not comply with this rule will be immediately disqualified in the case that we find the same or very similar scores and/or uploaded solutions. 8. If you have any inquiries about this competition, please don’t hesitate to reach out to us at firstname.lastname@example.org. We ask that users do not contact DataGateway directly.
Terms of Participation
An agreement to not reveal the information shared regarding this competition to others.
TERMS OF PARTICIPATION These Terms of Participation (“Agreement”) are hereby entered into on the date of your participation conditional upon your agreement to these terms (“Effective Date”) between you (“Participant”), as a participant in the Video Popularity Prediction competition (the “Competition”) hosted at bitgrit.net (the “Competition Site”), and bitgrit Inc. (“Bitgrit”). IMPORTANT, READ CAREFULLY: Your participation in the Competition on the above Competition Site is conditional upon your comprehension of, compliance with, and acceptance of these terms. Please review thoroughly before accepting.[MOU1] I Clauses of Non-Disclosure 1. Confidential Information (1) Confidential Information shall mean any and all information disclosed by Bitgrit to the Participant with regard to the entry and participation in the Competition, including (i） metadata, source code, object code, firmware etc. and, in addition to these, (ii) analytes, compilations or any other deliverable produced by the Participant in which such disclosed information is utilized or reflected. (2) Confidential Information shall not include information which; (a) is now or hereafter becomes, through no act or omission on the Participant, generally known or available to the public, or, in the present or into the future, enters the public domain through no act or omission by the Participant; (b) is acquired by the Participant before receiving such information from Bitgrit and such acquisition was without restriction as to the use or disclosure of the same; (c) is hereafter rightfully furnished to the participant by a third party, without restriction as to use or disclosure of the same. 2. Non-Disclosure Obligation The Participant agrees: (a) to hold Confidential Information in strict confidence; (b) to exercise at least the same care in protecting Confidential Information from disclosure as the party uses with regard to its own confidential information; (c) not use any Confidential Information except for as it concerns the Purpose elaborated upon above; (d) not disclose such Confidential Information to third parties; (e) to inform Bitgrit if it becomes aware of an unauthorized disclosure of Confidential Information. 3. No Warranty All Confidential Information is provided “as is.” None of the Confidential Information shall contain any representation, warranty, assurance, or integrity by Bitgrit to the Participant of any kind. 4. No Assignment of Rights The Participant agrees that nothing contained in this Agreement shall be construed as conferring, transferring or granting any rights to the Participant, by license or otherwise, to use any of the Confidential Information. 5. Return/Destruction of Confidential Information (1) On the request of Bitgrit, the Participant shall promptly, in a manner specified by Bitgrit, return or destroy the Confidential Information along with any copies of said information. (2) Bitgrit may request the Participant to submit documentation to confirm the destruction of said Confidential Information to Bitgrit in the event that Bitgrit requests the Participant to destroy this Confidential Information, pursuant to the provision of the preceding paragraph. II Rights to Deliverables 1. Retainment of Rights Copyrights (including rights stipulated in Clause 27 and Clause 28 of the Copyright Act), patents, rights to patent, rights to design, utility model rights, and other intellectual property rights (herein referred to collectively as “Intellectual Property Rights”) in relation to deliverables prepared by the Participant accompanying the Participant’s entry and participation in the Competition, including algorithms, programs, source codes, and other items (collectively, “Submitted Algorithms”) shall belong to the participant. 2. Restrictions on Use The Participant hereby agrees to not utilize Submitted Algorithms to or for businesses, business endeavors, products, or services in competition with Bitgrit or with the Competition co-host. 3. Authorization of Non-compensatory Use The Participant hereby authorizes and consents to Bitgrit and/or relevant third parties utilizing, analyzing, altering, or further reauthorizing the use of the Submitted Algorithm(s) to other third parties and will not make claims or demands for monetary compensation in regard to the above purposes. 4. Representations and Warranties The Participant hereby declares and warrants that the Participant’s, Bitgrit’s, and the related third party’s use of the Submitted Algorithms does not violate or infringe upon the intellectual property rights, business secrets, or other rights of any other third party. 5. Warranty Against Exercising of Moral Rights The Participant agrees to not exercise moral rights to Bitgrit or to related third parties in regard to the Submitted Algorithms. 6. Rights Regarding Modified and Derivative Works The Participant hereby agrees that Intellectual Property Rights and other rights regarding any modified or derivative works created from the Submitted Algorithms shall belong to the creator of that modified or derivative work. III General Clauses 1. No Assignment The Participant shall not assign, transfer or otherwise dispose of this Agreement or any of its rights, interest or obligations hereunder without the prior written consent of Bitgrit. 2. Injunctive Relief In the event of a breach or the possibility of breach of this Agreement by the Participant, in addition to any remedies otherwise available, Bitgrit shall be entitled to seek injunctive relief or equitable relief, as well as monetary damages. 3. Governing Law This Agreement shall be governed by and construed and interpreted under the laws of Japan without reference to its principles governing conflicts of laws. 4. Jurisdiction The parties hereto submit to the exclusive jurisdiction of the courts of Japan, where the head office of Bitgrit, is located, in respect to all conflicts or controversies arising from or in relation to this competition.
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