Update README.md

README.md

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 ## Dataset Summary
 
-Swahili is spoken by 100-150 million people across East Africa. In Tanzania, for example, Swahili is one of two national languages (the other is English) and is the official language of instruction in all schools. News in Swahili is an integral part of Tanzania's media sphere.
-News contributes to education, technology, and a country's economic growth, and news in local languages plays an important cultural role in many African countries. In the modern age, however, African languages in news and other spheres are at risk of being lost as English becomes the dominant language in online spaces.
-The Swahili news dataset was created to bridge the gap in utilizing the Swahili language to create NLP technologies. It aims to empower AI practitioners in Tanzania and across Africa, making them integral in the preservation and utilization of the Swahili language. This dataset, sourced from various websites providing news in Swahili, is a powerful resource for NLP research and development, and your role in utilizing it is crucial.
-Curated explicitly for text classification tasks, the dataset categorises news content into six distinct topics, enabling the creation of robust NLP models that can more effectively understand and process Swahili text. Additionally, this dataset is included in the MTEB to evaluate the capability of embedders to classify Swahili news accurately. The high accuracy of this dataset is attributed to the human annotation process involved in its creation.
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+ARC_Challenge_Swahili is a Swahili translation of the original English ARC (AI2 Reasoning Challenge) dataset. This dataset evaluates the ability of AI systems to answer grade-school level multiple-choice science questions. The Swahili version was created using a combination of machine translation and human annotation to ensure high-quality and accurate translations.
 
 ## Supported Tasks and Leaderboards