Since the official launch of the " OpenDigger Open Source Software Ecological Data Analysis and Mining Platform Challenge (OpenSODA) ", as of the beginning of April, more than 100 teams have signed up for the competition, and it has entered the preliminary stage (open source knowledge quiz). In order to better serve the participating teams and players, the Organizing Committee of the OpenSODA Open Source Challenge officially released the second round notice, and further sorted out and supplemented the content that everyone cares about, including: registration channel , preliminary question and answer , competition question interpretation , supporting courses , etc. Can help everyone achieve good results.
Scan the QR code and use the Yuque document to read and obtain more comprehensive entry information
1
Event Background & Event Introduction
The OpenSODA Challenge is jointly organized by the Open Atom Open Source Foundation, East China Normal University, and Kaiyuanshe, with the Mulan Open Source Community, CCF Information System Committee, and CCF Open Source Development Committee as advisory bodies, and X-lab Open Laboratory as technical support.
OpenDigger is a one-stop analysis and mining platform for open source software ecological data. The goal is to build a data ecology in the open source field and become an open source data infrastructure project that promotes the sustainable development of the open source ecology, including software development activity data, software ecological object relational data, Labeled data, measurement indicators, measurement models, implementation algorithms, analysis tools, and a large number of community analysis case sets are currently incubating in the Mulan open source community.
2
Competition design
The 2023 spring season (from March 10 to June 30, a total of four months), including two types of competitions, contestants can choose one or more of the following competition categories to participate, without any limit.
(1) Task class (T)
This type of competition focuses on the function and algorithm implementation of the OpenDigger project itself. Contestants choose one of the following topics, design and implement the scheme, and finally submit it to the designated code warehouse. The works approved by the review experts will be merged into the OpenDigger in the code repository.
T1: Implementation and optimization of OpenDigger indicators (development tasks, estimated difficulty: ★)
T2: Index result query sub-module of command line interaction (development task, estimated difficulty: ★★)
T3: Index fitting and optimization based on machine learning (data science tasks, estimated difficulty: ★★★)
(2) Work category (W)
Data visualization works are the pursuit of aesthetics, connotation, and empathy. This type of competition will use various open data, indicators, models, algorithms, etc. provided by OpenDigger to allow contestants to use their imagination freely and present data insights in the open source field in the form of data works.
W1: Visual art work or data insight report (data creative works, estimated difficulty: ★)
W2: Large visual screen in the open source field (Dashboard works, estimated difficulty: ★★)
W3: Open source collaborative network visualization (network visualization works, estimated difficulty: ★★★)
3
Question Interpretation
For each competition task, the OpenSODA competition organizing committee gave detailed explanations for all the competition questions to facilitate the preparation of the contestants. You can scan the QR code to view the interpretation of the competition questions.
Question Interpretation Entrance
4
Award setting and review rules
The total prize pool for the 2023 spring season is 500,000 yuan, and the distribution of prizes is as follows:
awards |
quantity |
total prize amount |
illustrate |
first prize |
1 |
100,000 |
Deliberated by the review expert committee |
second prize |
5 |
150000 |
Deliberated by the review expert committee |
third prize |
10 |
100,000 |
Deliberated by the review expert committee |
Innovation Contribution Award |
50 |
150000 |
Deliberated by the review expert committee |
The winners of the 1st, 2nd and 3rd prizes are jointly determined by the OpenSODA Challenge judging expert committee. The preliminary part is knowledge quiz. After completing the training courses corresponding to the challenge, it will be done by answering questions (80 points and above will pass and enter the semi-finals, see here for details); the semi-finals are design proposal submissions (the organizing committee will give Teams entering the semi-finals provide open sample data sets), the expert review committee will score according to the content of the design plan, and after sorting, determine the teams entering the final according to the score. No more than 80 teams will enter the final; the final is the submission of code implementation works (The organizing committee will also provide more systematic and comprehensive data support to the final teams.) The expert review committee will score the submitted content of the final works, and determine the final list of winners from high to low.
5
Challenge Process
The challenge is divided into three stages, the preliminary round, the semi-finals and the final. The specific timeline is as follows (tentative):
time |
Competition Training Course |
challenge end |
3.10 ~ 5.6 days |
Phase 1: Embracing Open Source |
Registration and Preliminaries (Quiz) |
4.4 ~ 5.8 days |
Phase 2: Contributing to open source |
rematch (plan submission) |
5.9 ~ 6.26 days |
The third stage: developing open source |
finals (work submission) |
early july |
- |
Announcing the winners |
The specific process and related information will continue to be updated, and everyone is welcome to pay attention (the captain please pay close attention to the email messages, and also check the spam box).
6
Registration and Preliminary Competition Rules
The OpenSODA Challenge registration and preliminary competition are in full swing. Please scan the following QR code to view the registration and preliminary competition methods.
OpenSODA Registration Document
OpenSODA Preliminary Knowledge Quiz
Notice:
We will announce the list of teams entering the semi-finals after April 15th. At the same time, we will continue to accept registration for the preliminary round. The deadline is May 6th
7
Challenge training
In order to better guide the contestants and promote open source technology and open source culture, this competition also includes a course " General Knowledge of Open Source Software", which will be provided to everyone in stages during the challenge to help everyone better Finish the game.
The knowledge quiz for the preliminary competition is actually a preliminaries, mainly to help contestants familiarize themselves with and master the relevant basic knowledge and skills required for the challenge. We passed the first part of the course "General Knowledge of Open Source Software" "Embracing Open Source" to provide all the information needed for the preliminary "Knowledge Questions and Answers". Scan the QR code below to view the detailed course introduction.
"General Lesson for All OpenSODA Competitors"
8
Review Expert Committee
In order to ensure the openness, fairness, and justice of this challenge, experts from different backgrounds such as industry, academia, and open source communities have been invited to participate in the formulation of the rules of this challenge and the entire review process. Some experts will also actively participate in the challenge community to interact, answer questions and guide you. The following are in no particular order:
Chen Yang , Kaiyuanshe, Microsoft
Jiang Bo , Kaiyuanshe, Sifu
Zhuang Biaowei , Kaiyuanshe
Yang Liyun , Mulan Open Source Community, China Electronics Standardization Institute
Xu Chen , Mulan Open Source Community, Alibaba Cloud
Wang Qing , Mulan Open Source Community, Intel
Zhou Minghui , Mulan Open Source Community, CCF Open Source Development Committee, Peking University
Shan Zhihao , Mulan Open Source Community, Tencent Open Source Alliance
Jin Yaohui , Mulan Open Source Community, Shanghai Jiaotong University
Wang Tao , Mulan Open Source Community, Open Atom, National Defense University
Wang Xu , Mulan Open Source Community, Ant
Li Yongle , Mulan Open Source Community, Huawei
Du Junping , Open Source Rainforest, Huawei
Yu Ge , CCF Information System Committee, Northeastern University
Zhou Aoying , CCF Information System Committee, East China Normal University
Wang Xin , CCF Information System Committee, Tianjin University
Wang Haofen , CCF Information System Committee, Tongji University
Li Hui , CCF Information System Committee, Guizhou University
You Lan , CCF Information System Committee, Hubei University
Wu Yanjun , CCF Open Source Development Committee, Institute of Software, Chinese Academy of Sciences
Bian Sikang , CCF Open Source Development Committee, Ant
Zhang Yuxia , CCF Open Source Development Committee, Beijing Institute of Technology
Guo Xue , CCF Open Source Development Committee, China Academy of Information and Communications Technology
Peng Xin , CCF Open Source Development Committee, Software Engineering Committee, Fudan University
Guo Jianmei , CCF Software Engineering Committee, Professor of East China Normal University
Li Bing , CCF Software Engineering Committee, Service Computing Committee, Professor of Wuhan University
Zhang Jun , Open Atom Foundation TOC member, Baidu
Jiang Ning , Apache Foundation, Huawei
Huang Xiangdong , China Institute of Communications Open Source Technology Committee, Tsinghua University
9
reference link
1. About the overall situation of the OpenSODA Challenge
https://xlab2017.yuque.com/staff-kbz9wp/olpzth/khdrhgl063py1mqm
2. Interpretation of OpenSODA Challenge Questions
https://xlab2017.yuque.com/staff-kbz9wp/olpzth/hxlwkpfhyvf2p5xm
3. About the OpenSODA Challenge registration process (closed on May 6)
https://xlab2017.yuque.com/staff-kbz9wp/olpzth/ma124i0lhi45h8xq
4. Questions and answers about the preliminary round of the OpenSODA Challenge (closed on May 6)
https://xlab2017.yuque.com/staff-kbz9wp/olpzth/gghgqg6z3tztgpau
5. About OpenSODA Challenge supporting courses
https://xlab2017.yuque.com/staff-kbz9wp/olpzth/umkehx7phbgg593s?singleDoc#
I wish you all good results!
Reprinted from丨Xlab Open Laboratory
Editor丨Weng Peipei
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