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@@ -42,6 +42,19 @@ All rows prepared as useful columns. All text prepared as markdown text, and cod
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  \`\`\`
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  ```
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  ### Infostart
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  Choosen data at [Infostart](https://forum.infostart.ru/group2/?a=26694) are all forums threads with found answers in section Dev.
@@ -76,18 +89,6 @@ All data at [Fastcode](https://fastcode.im/Templates?TemplatesOnly=True) are onl
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  You can find in folder `scripts_parsing`!
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- ### ❗IMPORTANT❗: Escaping special characters
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-
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- Values in columns `prompt`, `think_process`, and `solution` have escaped special characters like `\n`, `\t`, and `\\`!
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-
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- The reason for this behavior: the Python's `csv` module that I'm using in the parser to save rows saves `\n` as an actual newline character,
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- which makes reading the prepared file with Pandas impossible.
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-
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- To fix it use simple lambda code:
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- ```python
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- return_back_special_symbols = lambda x: x.replace("\\n", "\n").replace("\\t", "\t").replace("\\\\", "\\")
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- ```
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-
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  ## Citation
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  Please cite this dataset if you use it in your work:
 
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  \`\`\`
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  ```
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+ ### ❗IMPORTANT❗: Escaping special characters
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+
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+ Values in columns `prompt`, `think_process`, and `solution` have escaped special characters like `\n`, `\t`, and `\\`!
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+
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+ The reason for this behavior: the Python's `csv` module that I'm using in the parser to save rows saves `\n` as an actual newline character,
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+ which makes reading the prepared file with Pandas impossible.
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+
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+ To fix it use simple lambda code:
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+ ```python
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+ return_back_special_symbols = lambda x: x.replace("\\n", "\n").replace("\\t", "\t").replace("\\\\", "\\")
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+ ```
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+
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+
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  ### Infostart
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  Choosen data at [Infostart](https://forum.infostart.ru/group2/?a=26694) are all forums threads with found answers in section Dev.
 
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  You can find in folder `scripts_parsing`!
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  ## Citation
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  Please cite this dataset if you use it in your work: