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@@ -82,7 +82,7 @@ An example from the TiLt-Pro dataset looks as follows:
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  - `level`: The academic level of the tested knowledge. Can be one of the following: e.g. Middle School, High School, University Entrance, University, Professional etc.
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  - `category_en`: The low level category according to the source IN ENGLISH, i.e. the exam name.
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  - `category_original_lang`: Similarly to the `category_en` attribute, the low level category according to the source IN THE ORIGINAL LANGUAGE.
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- - `original_question_num`:
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  - `question`: The text of the multi-choice question or the statement of the True-False question.
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  - `options`: A list of texts of the multiple choice options. In the case of True-False task, it is left blank.
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  - `answer`: The string representing the correct choice(s) (1, 2, 3, ...). It corresponds to the numbering of the respective choice columns. In the case of True-False task, this is "1" for true and "0" for false.
 
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  - `level`: The academic level of the tested knowledge. Can be one of the following: e.g. Middle School, High School, University Entrance, University, Professional etc.
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  - `category_en`: The low level category according to the source IN ENGLISH, i.e. the exam name.
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  - `category_original_lang`: Similarly to the `category_en` attribute, the low level category according to the source IN THE ORIGINAL LANGUAGE.
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+ - `original_question_num`: Id of the sample.
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  - `question`: The text of the multi-choice question or the statement of the True-False question.
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  - `options`: A list of texts of the multiple choice options. In the case of True-False task, it is left blank.
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  - `answer`: The string representing the correct choice(s) (1, 2, 3, ...). It corresponds to the numbering of the respective choice columns. In the case of True-False task, this is "1" for true and "0" for false.