# Publicly Available Datasets Sources

## Popular Dataset Repositories:

1. **Google Dataset Search:** A search engine to find datasets across the web.
2. **Kaggle:** A platform for data science competitions with a vast collection of datasets.
3. **UCI Machine Learning Repository:** A collection of datasets for machine learning research.
4. **AWS Public Datasets:** A repository of datasets hosted on Amazon Web Services.

## **Datasets for Specific Domains:**

* **Computer Vision:** ImageNet, CIFAR-10, MNIST
* **Natural Language Processing:** Wikipedia, Common Crawl, Gutenberg Corpus
* **Healthcare:** MIMIC-III, PhysioNet
* **Finance:** Yahoo Finance, Quandl

## **Other Resources:**

* **Papers With Code:** A website that links research papers with their corresponding code and datasets.
* **Awesome Public Datasets:** A curated list of datasets on GitHub.

## **Accessing Datasets in Colab:**

You can access these datasets in Colab using various methods such as:

1. **Downloading:** Download the dataset directly from the source and upload it to your Colab environment.
2. **Mounting Google Drive:** Mount your Google Drive to Colab and access datasets stored there.
3. **Using APIs:** Many platforms provide APIs to access their datasets directly within Colab.
4. **Using Libraries:** Some libraries, like TensorFlow Datasets, provide pre-built functions to load popular datasets.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.myherb.co.il/sustainability-journey-star/datasets/publicly-available-datasets-sources.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.