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NegasiHaileNegasiHaile
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Merge pull request #2 from HenokB/master
- Added more projects - Added netxtjs.yml file
2 parents c210fda + ae09ede commit 3980fc7

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‎.github/workflows/nextjs.yml‎

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# Sample workflow for building and deploying a Next.js site to GitHub Pages
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#
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# To get started with Next.js see: https://nextjs.org/docs/getting-started
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#
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name: Deploy Next.js site to Pages
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on:
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# Runs on pushes targeting the default branch
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push:
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branches: ["master"]
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# Allows you to run this workflow manually from the Actions tab
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workflow_dispatch:
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# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
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permissions:
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contents: read
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pages: write
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id-token: write
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# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
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# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
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concurrency:
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group: "pages"
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cancel-in-progress: false
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jobs:
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# Build job
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build:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Detect package manager
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id: detect-package-manager
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run: |
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if [ -f "${{ github.workspace }}/yarn.lock" ]; then
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echo "manager=yarn" >> $GITHUB_OUTPUT
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echo "command=install" >> $GITHUB_OUTPUT
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echo "runner=yarn" >> $GITHUB_OUTPUT
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exit 0
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elif [ -f "${{ github.workspace }}/package.json" ]; then
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echo "manager=npm" >> $GITHUB_OUTPUT
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echo "command=ci" >> $GITHUB_OUTPUT
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echo "runner=npx --no-install" >> $GITHUB_OUTPUT
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exit 0
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else
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echo "Unable to determine package manager"
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exit 1
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fi
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- name: Setup Node
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uses: actions/setup-node@v4
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with:
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node-version: "20"
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cache: ${{ steps.detect-package-manager.outputs.manager }}
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- name: Setup Pages
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uses: actions/configure-pages@v5
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with:
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# Automatically inject basePath in your Next.js configuration file and disable
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# server side image optimization (https://nextjs.org/docs/api-reference/next/image#unoptimized).
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#
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# You may remove this line if you want to manage the configuration yourself.
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static_site_generator: next
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- name: Restore cache
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uses: actions/cache@v4
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with:
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path: |
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.next/cache
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# Generate a new cache whenever packages or source files change.
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key: ${{ runner.os }}-nextjs-${{ hashFiles('**/package-lock.json', '**/yarn.lock') }}-${{ hashFiles('**.[jt]s', '**.[jt]sx') }}
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# If source files changed but packages didn't, rebuild from a prior cache.
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restore-keys: |
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${{ runner.os }}-nextjs-${{ hashFiles('**/package-lock.json', '**/yarn.lock') }}-
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- name: Install dependencies
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run: ${{ steps.detect-package-manager.outputs.manager }} ${{ steps.detect-package-manager.outputs.command }}
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- name: Build with Next.js
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run: ${{ steps.detect-package-manager.outputs.runner }} next build
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- name: Upload artifact
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uses: actions/upload-pages-artifact@v3
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with:
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path: ./out
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# Deployment job
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deploy:
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environment:
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name: github-pages
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url: ${{ steps.deployment.outputs.page_url }}
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runs-on: ubuntu-latest
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needs: build
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steps:
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- name: Deploy to GitHub Pages
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id: deployment
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uses: actions/deploy-pages@v4

‎src/app/page.tsx‎

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<div className="w-full sm:w-[90%] md:w-[85] lg:w-[80%] xl:w-[65%] p-5 space-y-5 font-[family-name:var(--font-geist-sans)]">
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<div className="w-full pb-2 border-b text-start">
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<p className="w-full font-bold text-3xl">
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AI related Papres, Datasets and ML Models in Ethiopia
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Todo
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</p>
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<p className="mt-6 opacity-70">
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Explore Ethiopian-related ML models, Amharic, Tigrinya, and Oromo
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datasets. Discover the best research and models in Ethiopia for
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Machine Learning and AI applications.
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Explore Ethiopic machine learning related models and datasets for various Ethiopian languages.
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</p>
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</div>
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‎src/data/projects.ts‎

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},
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{
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id: 3,
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title: "AGE: Amharic, Ge'ez, English Dataset",
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languages_used: ["Python", "pydicom", "dicom2jpg"], // Languages and libraries used
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title: "AGE: Amharic, English, Ge'ez Dataset",
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languages_used: ["geez", "machine translation", "nlp"], // Languages and libraries used
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creator: ["Henok Biadglign Ademtew", "Mikiyas Girma Birbo"], // Who created the project
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description: `AGE, an open-source tripartite alignment of Amharic, Ge’ez, and English parallel dataset. Additionally, we introduced a novel, 1,000 Ge’ez-centered sentences sourced from areas such as news and novels.`,
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featured: true, // true/false
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year: "2024", // The year that the project published
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content: "Dataset",
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},
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{
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id: 4,
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title: "Amharic Llama",
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languages_used: ["LLM", "Llama"], // Languages and libraries used
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creator: ["Michael Andersland"], // Who created the project
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description: `Uses Llama-2-7b as base. Does not use chat variant.`,
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featured: true,
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domain: [
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"LLM",
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],
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category: ["Model"], // Dataset, Model, Paper
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field: "NLP", // Computer Vision, NLP ...
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links: [
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{
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id: 1,
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name: "Huggingface",
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link: "https://huggingface.co/iocuydi/llama-2-amharic-3784m",
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},
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{
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id: 2,
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name: "Github",
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link: "https://github.com/iocuydi/amharic-llama-llava",
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},
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{
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id: 3,
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name: "Paper",
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link: "https://arxiv.org/abs/2403.06354",
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},
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],
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year: "2024", // The year that the project published
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content: "Model",
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},
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{
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id: 5,
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title: "Amharic QA Dataset",
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languages_used: ["QA", "Dataset"], // Languages and libraries used
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creator: ["Tilahun Abedissa§, Ricardo Usbeck, Yaregal Assabie"], // Who created the project
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description: `Amharic Question Answering Dataset (Amh-QuAD). 2,628 question-answer pairs from over 378 Amharic Wikipedia articles.`,
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featured: true,
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domain: [
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"LLM",
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],
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category: ["Dataset"], // Dataset, Model, Paper
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field: "NLP", // Computer Vision, NLP ...
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links: [
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{
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id: 1,
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name: "Github",
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link: "https://github.com/semantic-systems/amharic-qa",
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},
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{
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id: 2,
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name: "Paper",
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link: "https://arxiv.org/pdf/2303.03290",
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},
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],
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year: "2024", // The year that the project published
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content: "Model",
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},
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];
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