jimjunior/cocis-web-info

---
license: mit
task_categories:
- question-answering
language:
- en
tags:
- education
- makerere
pretty_name: COCIS WEB INFO
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: "chunks/*.json"
---

# COCIS WEB INFO

## Dataset Summary
This dataset contains information about Makerere University College of Computing and Information Science that was scraped from its official website and corresponding websites.
The dataset consists of approximately **513 JSON chunks**, designed for high-performance streaming and parallel processing. Each chunk represents a discrete unit of data structured for machine learning tasks.

By sharding the data into 513 files, this repository supports the `datasets` library's streaming mode, allowing users to train models without downloading the entire dataset into RAM—a critical feature for resource-constrained environments or high-concurrency CI/CD pipelines.

## Repository Structure
The data is organized into a `chunks/` directory to maintain a clean root level:

```text
.
├── README.md # This file
└── chunks/ # Directory containing 513 JSON files
├── chunk_1.json
├── chunk_2.json
└── ...
```

## Usage

You can load this dataset directly using the Hugging Face datasets library:

```python
from datasets import load_dataset

# Standard loading
dataset = load_dataset("jimjunior/cocis-web-info")

# Streaming mode (Recommended for many shards)
streamed_dataset = load_dataset("cocis-web-info/cocis-web-info", streaming=True)
print(next(iter(streamed_dataset["train"])))
```

## Maintenance and Contributions

This dataset was created as part of the 2026 undergraduate CSC Machine Learning assignment. Its actively mantained by [Beingana Jim Junior](https://www.linkedin.com/in/jim-junior-beingana/).

Corresponding associated code used to collect and manage this data can be found at [https://github.com/jim-junior/SW-ML-1-NLP-Project](https://github.com/jim-junior/SW-ML-1-NLP-Project)

## Citation

```text
@misc{junior2026dataset,
author = {Jim Junior, B.},
title = {513-Chunk JSON Dataset},
year = {2026},
publisher = {Hugging Face},
journal = {Hugging Face Hub},
}
```