Update README.md

README.md

@@ -35,3 +35,40 @@ configs:
   - split: test
     path: data/test-*
 ---
+
+# Dataset Card for XQuAD-TR
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Structure](#dataset-structure)
+  - [Data Fields](#data-fields)
+- [Source Data](#source-data)
+
+## Dataset Description
+
+XQuAD is originally [released](https://huggingface.co/datasets/google/xquad) by Google for 11 languages. 
+We used the `xquad.tr` subset for Turkish.
+
+### Dataset Structure
+
+The original `xquad.tr` subset only had `validation` split. We applied the following splitting methodology to obtain the `train` and `test` splits:
+
+* If a train-val-test split is available, we use the existing divisions as provided.
+* For datasets with a train-test split only, we create a val split from the training set, sized to match the test set, and apply this across all models.
+* In cases with a train-val split, we reassign the val set as the test split, then generate a new val split from the training data following the approach above.
+* In cases with a val-test split, we split validation into train and vad sets in 80\% and 20\% proportions, respectively.
+* When only a single combined split is present, we partition the data into train, val, and test sets in 70\%, 15\%, and 15\% proportions, respectively.
+
+### Data Fields
+
+- **context** (string): The passage or paragraph in which the answer to the question can be found.
+- **question** (string): The question being asked.
+- **answers** (dict): A dictionary containing:
+  - **text** (list): A list of answer strings corresponding to possible correct answers for the question.
+  - **answer_start** (list): A list of character indices indicating the start position of each answer in the context.
+
+  Example: `{"text": ["Hassan al-Turabi"], "answer_start": [22]}`
+
+## Source Dataset
+
+[hf.co/google/xquad](https://huggingface.co/datasets/google/xquad)