Update README.md

README.md

@@ -1,3 +1,53 @@
 ---
 license: cc
+task_categories:
+- question-answering
+- text-generation
+language:
+- sw
+- en
+pretty_name: Dolly_Swahili
+size_categories:
+- 10K<n<100K
 ---
+# README for Swahili Translated Dataset from Toloka
+
+## Dataset Description
+
+This dataset is a Dolly 15k translated from English to Swahili, filtered and processed using the Toloka platform. It includes various contexts, responses, and instructions from diverse domains, providing a rich resource for natural language processing tasks, particularly for those focusing on the Swahili language.
+
+### Data Fields
+
+- **task_id**: A unique identifier for each task in the dataset.
+- **INPUT:context_tr**: The context of the task translated into Swahili.
+- **INPUT:context_src**: The original context of the task in English.
+- **INPUT:response_tr**: The response or answer to the task, translated into Swahili.
+- **INPUT:response_src**: The original response or answer to the task in English.
+- **INPUT:instruction_tr**: The instruction for the task, translated into Swahili.
+- **INPUT:instruction_src**: The original instruction for the task in English.
+- **toloka probabilities**: Probabilities indicating the confidence or quality score associated with each task, as evaluated on the Toloka platform.
+
+### Data Format
+
+The dataset is provided in CSV format.
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset was curated to enhance the resources available for Swahili natural language processing. It aims to provide a robust set of data for translation tasks, question-answering systems, and other language modeling tasks in Swahili.
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+The initial data collection was taken from Dolly-15K
+
+### Dataset Curators
+
+This dataset was curated by Nazar Beknazarov, leveraging the Toloka platform for translation and filtering.
+
+
+### Citation Information
+
+Please include citation information here, if available.