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README.md
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- split: test
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path: data/test-*
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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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## 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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### 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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