Update README.md

README.md

@@ -1,55 +1,43 @@
-Dataset Summary
+##Dataset Summary
 This dataset contains questions from Nigerians on a dedicated healthcare forum and responses provided exclusively by licensed and trained healthcare professionals. It reflects health concerns within the Nigerian context, incorporating English and local colloquialisms. All answers are reliable, as the platform restricted responses to verified healthcare professionals, ensuring the quality and credibility of the information. The dataset comprises a total of 336,681 GPT-2 tokens.
 
-Data Collection
+##Data Collection
 The data was curated from the activities on an online platform's open forum page that offered the Nigerian public free advice and answers. It includes:
-
 1,731 questions
 2,667 replies/comments
 The data was extracted from a MySQL dump after the platform was closed.
 
-Data Cleaning
+##Data Cleaning
 The cleaning process involved:
-
 Deduplication: Removing duplicate entries to ensure uniqueness.
 Manual Review: Verifying the accuracy and relevance of the data.
 Normalization: Standardizing data formats to match the quality of other relevant datasets.
 
 ---
-
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-*
 ---  
-Dataset Structure
+
+##Dataset Structure
 Data Fields
-  features:
-  - name: thread_id
-    dtype: int64
-  - name: category_id
-    dtype: int64
-  - name: category_name
-    dtype: string
-  - name: Question
-    dtype: string
-  - name: Question_token_count
-    dtype: int64
-  - name: Question_text_length
-    dtype: int64
-  - name: Question_language_probability
-    dtype: float64
-  - name: Answer
-    dtype: string
-  - name: Answer_token_count
-    dtype: int64
-  - name: Answer_text_length
-    dtype: int64
-  - name: Answer_language_probability
-    dtype: float64
-  - name: id
-    dtype: int64
+| Field                       | Type    | Description                                                |
+|-----------------------------|---------|------------------------------------------------------------|
+| `thread_id`                 | string  | The ID of the original thread                              |
+| `category_id`               | string  | The ID of the category                                     |
+| `category_name`             | string  | The corresponding name of the category                     |
+| `Question`                  | string  | The text of the question asked                             |
+| `Question_token_count`      | integer | The number of GPT-2 tokens in the question text            |
+| `Question_text_length`      | integer | The length of the question text (in characters)            |
+| `Question_language_probability` | float | The confidence score of the language detection algorithm   |
+| `Answer`                    | string  | The text of the answer given                               |
+| `Answer_token_count`        | integer | The number of GPT-2 tokens in the answer text              |
+| `Answer_text_length`        | integer | The length of the answer text (in characters)              |
+| `Answer_language_probability` | float | The confidence score of the language detection algorithm   |
+
+---
   splits:
   - name: train
     num_bytes: 1847812
@@ -59,16 +47,16 @@ Data Fields
 ---
 
 
-Usage
+##Usage
 This dataset can be valuable for:
 
 Natural Language Processing (NLP): Training models on Nigerian English and local colloquialisms.
 Healthcare Analysis: Understanding prevalent health concerns in Nigeria.
 Chatbot Training: Developing AI assistants for healthcare support in Nigerian contexts.
 
-license: mit
+##license: mit
 
-Citation
+##Citation
 If you use this dataset in your research, please cite it as:
 
 @dataset{nigerian_healthcare_forum_qa,