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@@ -35,3 +35,40 @@ configs:
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  - split: test
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  path: data/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: test
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  path: data/test-*
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  ---
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+ # Dataset Card for TQuad-2
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Fields](#data-fields)
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+ - [Source Data](#source-data)
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+
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+ ## Dataset Description
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+ TQuad2 is originally [released](https://huggingface.co/datasets/erdometo/tquad2) by [Erdem Metin](https://huggingface.co/erdometo) for Turkish.
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+ ### Dataset Structure
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+ The original dataset only had `train` and `validation` split. We applied the following splitting methodology to obtain the `test` split:
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+ * If a train-val-test split is available, we use the existing divisions as provided.
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+ * 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.
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+ * 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.
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+ * In cases with a val-test split, we split validation into train and vad sets in 80\% and 20\% proportions, respectively.
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+ * 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.
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+
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+ ### Data Fields
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+ - **context** (string): The passage or paragraph in which the answer to the question can be found.
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+ - **question** (string): The question being asked.
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+ - **answers** (list): Each item in the list is a dictionary with the keys:
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+ - **answer_start** (int): The character position in the context where the answer begins.
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+ - **text** (string): The answer text.
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+ Example: `[{ "answer_start": 47, "text": "28 Şubat 1702, Mekke" }]`
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+ ## Source Dataset
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+ [hf.co/erdometo/tquad2](https://huggingface.co/datasets/erdometo/tquad2)
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+