metadata

license: mit
task_categories:
  - text-generation
  - table-question-answering
language:
  - ru
  - en
tags:
  - 1с
  - ones
  - 1C
  - 1С
  - один-с
pretty_name: 1C_forums_dataset_by_arefaste
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: train
        path: result_final_make_dataset.parquet

1C_forums: Dataset based parsed data from two of the most popular forums for 1c

This dataset made of the parsed data from two forums for coders at the 1C languages:

Infostart - all threads presents as like think section for model, and marked as the best result for queestion as final answer
Fastcode - Only templates

Dataset Overview

All rows prepared as useful columns. All text prepared as markdown text, and code 1c looks as like:

\`\`\`1c
 "ВЫБРАТЬ
        |    Ссылка.Контрагент,
        |    Ссылка.Магазин,
        |    СУММА(КоличествоСпрос) КАК КолвоСпрос
        |ИЗ
        |    Документ.СпросНаТовар.Товары
        |ГДЕ Ссылка.Дата МЕЖДУ ДОБАВИТЬКДАТЕ(&ДатаНачало, ГОД, -10) И &ДатаНачало
        | СГРУППИРОВАТЬ ПО Ссылка.Контрагент, СсылкаМагазин";.
\`\`\`

❗IMPORTANT❗: Escaping special characters

Values in columns prompt, think_process, and solution have escaped special characters like \n, \t, and \\!

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, which makes reading the prepared file with Pandas impossible.

To fix it use simple lambda code:

return_back_special_symbols = lambda x: x.replace("\\n", "\n").replace("\\t", "\t").replace("\\\\", "\\")

Infostart

Choosen data at Infostart are all forums threads with found answers in section Dev.

source - for all rows for Infostart forum contains this value forum_infostart
in_source_id - id of the thread from that web forum. To get link to this page use this format: https://forum.infostart.ru/forum9/{in_source_id}/
prompt - it's a first question(msg) in thread.
think_process - its all thread discution presented as like think process that in there each msg between others separeted \n----\n
solution - msgs marked in thread as like solution for question
is_answer_a_link - if link contains a more then 60-70% of all solution, it's contains value True, else False
has_link - Counter links in solution. If solution doesn't contains any link, it value will be a Nan
tags - predicted tags

FastCode

All data at Fastcode are only templates, comments for this code made as new section # Примечание that what shows each comment.

source - for all rows for Fastcode forum contains this value fastcode_Templates
in_source_id - id of the thread from that web forum. To get link to this page use this format: https://fastcode.im/Templates/{in_source_id}/
prompt - it's title of the template.
think_process - None - it's dont use it at all!
solution - it's description(if it's contains there) and code with notes(it's comments, if its are there)
is_answer_a_link - if link contains a more then 60-70% of all solution, it's contains value True, else False
has_link - Counter links in solution. If solution doesn't contains any link, it value will be a Nan
tags - Tags at template separated by comma

Dataset Statistics

Total examples: 19041

forum infostart: 18299
fastcode Template: 742

Parsing scripts

You can find in folder scripts_parsing!

Citation

Please cite this dataset if you use it in your work:

@misc{arefaste2025,
  title={Arefaste: Parsed dataset for 1c from dataset},
  author={arefaste},
  year={2025},
  publisher={Hugging Face},
  howpublished={\url{https://huggingface.co/datasets/arefaste/1C_Forums}}
}