Update README.md

README.md

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+
+# Kenyan Collective Investment Schemes Dataset
+
+## Introduction
+
+This dataset provides comprehensive information on Kenyan Collective Investment Schemes, with a particular focus on Money Market Funds (MMFs) from 2014 to 2024. 
+It is the result of extensive data collection, cleaning, and analysis efforts aimed at providing researchers, analysts, and industry professionals with reliable data on Kenya's investment landscape.
+
+For a detailed description of the methodology and analysis, please refer to the original post: [Kenyan Collective Investment Schemes Dataset](https://toknow.ai/posts/kenyan-collective-investment-schemes-dataset/)
+
+## Dataset Description
+
+This dataset contains information on Effective Annual Rates for Money Market Funds (KES) and Assets Under Management for Kenyan Collective Investment Schemes. 
+The data has been sourced from Capital Markets Authority reports and Cytonn Research publications, covering a period from 2014 to 2024.
+
+## Contents
+
+The dataset is divided into three main components:
+
+1. **Raw Cytonn Reports**: Original market research reports from Cytonn, dating back to 2014.
+2. **Approved Collective Investment Schemes**: Official listings of CMA-approved collective investment schemes.
+3. **Processed Investment Schemes Records**: Cleaned and structured data on fund performance, assets under management, and other key metrics.
+
+## Usage
+
+To use this dataset in your research or analysis:
+
+1. Access the data through the Hugging Face interface or via API calls.
+2. Refer to the documentation for details on data structure, variable definitions, and any limitations.
+3. Use the processed data for immediate analysis or refer to the raw data for custom processing.
+
+Example code for loading the dataset using the Hugging Face Datasets library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("ToKnow-ai/Kenyan-Collective-Investment-Schemes-Dataset")
+```
+
+## Citation
+
+If you use this dataset in your research, please cite it as follows:
+
+```
+@misc{kabui2024,
+  author = {Kabui, Charles},
+  title = {Kenyan {Collective} {Investment} {Schemes} {Dataset}},
+  date = {2024-10-04},
+  year = {2024},
+  publisher = {Hugging Face},
+  journal = {ToKnow.ai},
+  howpublished = {\url{https://huggingface.co/datasets/ToKnow-ai/Kenyan-Collective-Investment-Schemes-Dataset}},
+  url = {https://toknow.ai/posts/kenyan-collective-investment-schemes-dataset/index.html},
+  langid = {en-GB},
+  abstract = {This study presents a comprehensive dataset of Kenyan
+    Collective Investment Schemes and their performance from 2014 to
+    2024. By leveraging web crawling techniques on Capital Markets
+    Authority (CMA) and Cytonn Research reports, we compiled data on
+    Effective Annual Rates for Money Market Funds (KES) and Assets Under
+    Management for the schemes (Money Market Fund, Equity Fund, Fixed
+    Income Fund, Balanced Fund, and Special Funds). The research process
+    involved data sourcing, cleaning, and basic exploratory analysis,
+    resulting in a standardized dataset suitable for further research.
+    We provide two primary visualizations: plots of Annual Rates for
+    MMFs (KES) and Assets Under Management over time. This dataset aims
+    to serve as a foundation for researchers, investors, and industry
+    stakeholders to conduct more in-depth analyses of Kenya’s collective
+    investment landscape. By archiving and publishing this data, we
+    contribute to the accessibility and transparency of financial
+    information in the Kenyan market.}
+}
+```
+
+## License
+
+This dataset is made available under [GNU GENERAL PUBLIC LICENSE](https://toknow.ai/LICENSE). Please refer to the LICENSE file for more details.
+
+## Acknowledgements
+
+We thank Cytonn Research for their comprehensive market reports which form a significant part of this dataset. 
+We also acknowledge the Capital Markets Authority of Kenya for providing information on approved schemes.
+
+## Contact
+
+For questions or feedback regarding this dataset, please open an issue on the Hugging Face dataset repository or contact [CONTACT_INFORMATION].