Update README.md

README.md

@@ -31,4 +31,50 @@ configs:
     path: data/train-*
   - split: validation
     path: data/validation-*
+task_categories:
+- question-answering
+language:
+- en
+size_categories:
+- 100K<n<1M
 ---
+
+## Clean SQuAD Classic v2
+
+This is a refined version of the [SQuAD v2](https://huggingface.co/datasets/rajpurkar/squad_v2) dataset. It has been preprocessed to ensure higher data quality and usability for NLP tasks such as Question Answering.
+
+## Description
+
+The **Clean SQuAD Classic v2** dataset was created by applying preprocessing steps to the original SQuAD v2 dataset, including:
+- **Trimming whitespace**: All leading and trailing spaces have been removed from the `question` field.
+- **Minimum question length**: Questions with fewer than 12 characters were filtered out to remove overly short or uninformative entries.
+
+Unlike the [Clean SQuAD v2](https://huggingface.co/datasets/decodingchris/clean_squad_v2) dataset, this dataset does not contain a separate test split. It retains the classic two-way split of **train** and **validation**, following the traditional structure of the original SQuAD v2 dataset.
+
+## Dataset Structure
+
+The dataset is divided into two subsets:
+
+1. **Train**: The primary dataset for model training.
+2. **Validation**: A dataset for hyperparameter tuning and model validation.
+
+## Data Fields
+
+Each subset contains the following fields:
+- `id`: Unique identifier for each question-context pair.
+- `title`: Title of the article the context is derived from.
+- `context`: Paragraph from which the answer is extracted.
+- `question`: Preprocessed question string.
+- `answers`: Dictionary containing:
+  - `text`: The text of the correct answer(s), if available. Empty for unanswerable questions.
+  - `answer_start`: Character-level start position of the answer in the context, if available.
+
+## Usage
+
+The dataset is hosted on the Hugging Face Hub and can be loaded with the following code:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("decodingchris/clean_squad_classic_v2")
+```