anaksor-ocr
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
Tests what you know about the basics of AI agents with a quiz whose questions come from a dataset, as part of the agents course. It suits learners working through the course.
Unit 1 Quiz - AI Agent Fundementals is a kit in the Education category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download agents-course/unit_1_quiz --repo-type space --local-dir unit_1_quiz cd unit_1_quiz
This Space is a quiz on the fundamentals of AI agents, made for the agents course. The app is a quiz over the rows of a dataset, and the Space names the unit_1_quiz dataset for its questions. It runs on cpu-upgrade hardware at Hugging Face.
It suits people taking the agents course who want to check what they learned in the first unit.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Education | Course students | Check what they learned in unit 1 | Answer the quiz after reading the unit |
| Teaching | Instructors | Point learners to a self-check | Share the Space with a study group |
| Software | Developers | Study a quiz app built on a dataset | Read app.py and the example.json file |
You can skip it if you have not started the course, since the quiz is about the first unit.
You can use it in these places:
| Use case | Who | What they get back |
|---|---|---|
| Self-check | Course students | A quiz on the agent fundamentals |
| Quiz app study | Developers | A small Gradio app that turns dataset rows into questions |
You need these first for a local copy:
The online page needs none of this. For your own copy, follow the steps below.
pip install -U huggingface_hub hf download agents-course/unit_1_quiz --repo-type space --local-dir unit_1_quiz cd unit_1_quiz pip install gradio==5.15.0 pip install -r requirements.txt python app.py
Open the Space in a browser, or start your own copy with the command below. Then work through the questions one by one.
python app.py
You open the Space and read a question about agent basics. You pick your answer, and the app moves on to the next question taken from the dataset.
If you are new to this, finish the first unit of the course, then take the quiz to see which parts you should read again.
If you know the field, the app is a generic quiz over dataset rows built with Gradio. The repository also holds a certificate PDF, two font files and a templates folder, and the Space names a certificates dataset, but the source does not explain how they are used.
The source describes the Space with one line, so details about scoring are not given.
Tests what you know about the basics of AI agents with a quiz whose questions come from a dataset, as part of the agents course. It suits learners working through the course.
Made by agents-course on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: This Space is a quiz on the fundamentals of AI agents, made for the agents course. The app is a quiz over the rows of a dataset, and the Space names the unit_1_quiz dataset for its questions. It runs on cpu-upgrade hardware at Hugging Face.
Who it suits: It suits people taking the agents course who want to check what they learned in the first unit.
Industry | Who uses it | How they use it | Example
Education | Course students | Check what they learned in unit 1 | Answer the quiz after reading the unit
Teaching | Instructors | Point learners to a self-check | Share the Space with a study group
Software | Developers | Study a quiz app built on a dataset | Read app.py and the example.json file
You can skip it if you have not started the course, since the quiz is about the first unit.
Where to use it: You can use it in these places:
Use case | Who | What they get back
Self-check | Course students | A quiz on the agent fundamentals
Quiz app study | Developers | A small Gradio app that turns dataset rows into questions
How to set it up: You need these first for a local copy:
The online page needs none of this. For your own copy, follow the steps below.
pip install -U huggingface_hub
hf download agents-course/unit_1_quiz --repo-type space --local-dir unit_1_quiz
cd unit_1_quiz
pip install gradio==5.15.0
pip install -r requirements.txt
python app.py
How to use it: Open the Space in a browser, or start your own copy with the command below. Then work through the questions one by one.
python app.py
Example: You open the Space and read a question about agent basics. You pick your answer, and the app moves on to the next question taken from the dataset.
For newcomers and experts: If you are new to this, finish the first unit of the course, then take the quiz to see which parts you should read again.
If you know the field, the app is a generic quiz over dataset rows built with Gradio. The repository also holds a certificate PDF, two font files and a templates folder, and the Space names a certificates dataset, but the source does not explain how they are used.
Open the quiz
A question loads from the dataset
You answer it
The app moves to the next one
Good to know: The source describes the Space with one line, so details about scoring are not given.
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 4 KB
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