Primary competition visual

Bootcamp Challenge by Ngao Labs : Swahili News Classification by Ngao Labs

500 Points
Under code review
Natural Language Processing
Classification
Generative AI
Prompt Engineering
6 joined
3 active
Starti
Jul 12, 26
Closei
Jul 19, 26
Reveali
Jul 19, 26
Can you create a classification algorithm to identify Swahili news articles by category?

Swahili is spoken by 100-150 million people across East Africa. In Tanzania, it is one of two national languages (the other is English) and it is the official language of instruction in all schools. News in Swahili is an important part of the media sphere in Tanzania.

News contributes to education, technology, and the economic growth of a country, and news in local languages plays an important cultural role in many African countries. In the modern age, African languages in news and other spheres are at risk of being lost as English becomes the dominant language in online spaces.

The objective of this hackathon is to develop a multi-class classification model to classify news content according to their specific categories specified, with a catch: you can only use ChatGPT to generate your models. Prompt engineering is an important skill that many companies are looking for - show off your prompt engineering chops by taking part in this challenge!

About Ngao Labs (https://ngaolabs.org/)

Ngao Labs is a nonprofit learning community in Kenya that delivers high-quality, tuition-free technical training for emerging talent from underserved backgrounds. we combine rigorous instruction, peer accountability, and intensive project work to accelerate competence, confidence, and employability.

How to get started with ChatGPT

When using ChatGPT for writing Python code, it's important to keep in mind a few things:

  1. Clear instructions: Provide clear instructions or questions to help guide ChatGPT in understanding the specific Python code you need.
  2. Code formatting: Clearly separate your code from the text by using appropriate formatting or markdown. You can use triple backticks (```) to enclose your code blocks and specify the language (python) for syntax highlighting.
  3. Contextual information: Include any relevant context or specifications about the problem you're trying to solve or the functionality you want to implement. The more details you provide, the better ChatGPT can understand and assist you.
  4. Iterative process: Writing code with ChatGPT may involve an iterative process of refining and clarifying your instructions or code snippets. Feel free to ask for clarifications or provide additional details to ensure better results.

Best practices for using ChatGPT to write Python code are:

  1. Specify the Problem Clearly: Be very explicit and detailed about your task or problem you want to solve. The clearer the task description, the more relevant the code ChatGPT will generate.
  2. Use Domain-Specific Language: The language model has been trained on a broad range of text, including coding manuals and repositories, so you can use specific data science or Python language terminology.
  3. Give Examples: If possible, provide an example of similar problems or code snippets. It helps to model what you're asking for.
  4. Ask in Increments: Rather than asking for a large script all at once, consider asking for pieces of the code incrementally.

We recommend posting your progress on the discussion board so that others can learn and grow with you.

Evaluation

The evaluation metric for this challenge is Log Loss.

The values can be between 0 and 1, inclusive.

Your submission file should look like:

test_id   kitaifa   michezo   biashara   kimataifa   burudani   
SW1001       1         0         0           0          0   
SW1005       0         0         1           0          0   
Prizes

This is a learning competition. Aside from knowledge, there are no prizes for this competition.

You will receive 500 points for this challenge.

How to get started with Zindi

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Rules

As this is a learning challenge, aside from the rules in the Terms of Use, no other particular rules apply.

This challenge is open to all and not restricted to any country.

Teams and collaboration

You may participate in this competition as an individual or in a team of up to four people. When creating a team, the team must have a total submission count less than or equal to the maximum allowable submissions as of the formation date. A team will be allowed the maximum number of submissions for the competition, minus the highest number of submissions among team members at team formation.

Multiple accounts per user are not permitted, and neither is collaboration or membership across multiple teams. Individuals and their submissions originating from multiple accounts will be disqualified.

Code must not be shared privately outside of a team. Any code that is shared, must be made available to all competition participants through the platform. (i.e. on the discussion boards).

Datasets and packages

The solution must use publicly-available, open-source packages only. Your models should not use any of the metadata provided.

You may use only the datasets provided for this competition. Automated machine learning tools such as automl are not permitted.

If the challenge is a computer vision challenge, image metadata (Image size, aspect ratio, pixel count, etc) may not be used in your submission.

You may use pretrained models as long as they are openly available to everyone.

The data used in this competition is the sole property of Zindi and the competition host. You may not transmit, duplicate, publish, redistribute or otherwise provide or make available any competition data to any party not participating in the Competition (this includes uploading the data to any public site such as Kaggle or GitHub). You may upload, store and work with the data on any cloud platform such as Google Colab, AWS or similar, as long as 1) the data remains private and 2) doing so does not contravene Zindi’s rules of use.

You must notify Zindi immediately upon learning of any unauthorised transmission of or unauthorised access to the competition data, and work with Zindi to rectify any unauthorised transmission or access.

Your solution must not infringe the rights of any third party.

Submissions and winning

You may make a maximum of 10 submissions per day.

Note that to count, your submission must first pass processing. If your submission fails during the processing step, it will not be counted and not receive a score; nor will it count against your daily submission limit. If you encounter problems with your submission file, your best course of action is to ask for advice on the Competition’s discussion forum.

Note that there is no public/private leaderboard split for this challenge. Read more about public and private leaderboards in this post.

You acknowledge and agree that Zindi may, without any obligation to do so, remove or disqualify an individual, team, or account if Zindi believes that such individual, team, or account is in violation of these rules. Entry into this competition constitutes your acceptance of these official competition rules.

Zindi also reserves the right to disqualify you and/or your submissions from any competition if we believe that you violated the rules or violated the spirit of the competition or the platform in any other way. The disqualifications are irrespective of your position on the leaderboard and completely at the discretion of Zindi.

Please refer to the FAQs and Terms of Use for additional rules that may apply to this competition. We reserve the right to update these rules at any time.