| --- |
| 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}, |
| } |
| ``` |
|
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