Update README.md

README.md

@@ -53,7 +53,7 @@ The translation process for the ARC_Challenge_Swahili dataset involved two main
 ### Machine Translation:
 1. The initial translation from English to Swahili was performed using the SeamlessM4TModel translation model.
 
-The following parameters were used for the translation:
+* The following parameters were used for the translation:
 ```python
 inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=1024).to(device)
 outputs = model.generate(**inputs, tgt_lang=dest_lang)
@@ -62,5 +62,36 @@ translation = tokenizer.batch_decode(outputs, skip_special_tokens=True)
 
 2. Human Verification and Annotation:
 
-After the initial machine translation, the translations were passed through GPT-3.5 for verification. This step involved checking the quality of the translations and identifying any that were not up to standard.
-The translations flagged by GPT-3.5 as problematic were reviewed and annotated by human translators to ensure accuracy and naturalness in Swahili.
+* After the initial machine translation, the translations were passed through GPT-3.5 for verification. This step involved checking the quality of the translations and identifying any that were not up to standard.
+* Human translators reviewed and annotated the translations flagged by GPT-3.5 as problematic to ensure accuracy and naturalness in Swahili.
+
+## Supported Tasks and Leaderboards
+* multiple-choice: The dataset supports multiple-choice question-answering tasks.
+
+## Languages
+The dataset is in Swahili.
+
+## Dataset Structure
+### Data Instances
+* An example of a data instance:
+```json
+{
+  "id": "example-id",
+  "language": "sw",
+  "question": "Ni gani kati ya zifuatazo ni sehemu ya mmea?",
+  "choices": [
+    {"text": "Majani", "label": "A"},
+    {"text": "Jiwe", "label": "B"},
+    {"text": "Ubao", "label": "C"},
+    {"text": "Nondo", "label": "D"}
+  ],
+  "answerKey": "A"
+}
+```
+
+### Data Fields
+* id: Unique identifier for each question.
+* language: The language of the question is Swahili (sw).
+* question: The science question in Swahili.
+* Choices: There are multiple choice options, each with text and label.
+* answerKey: The correct answer for each question.