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Datasets:
pacovaldez
/
stackoverflow-questions

Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-class-classification
Languages:
English
Size:
1M - 10M
Tags:
stackoverflow
technical questions
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files Community
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  1. README.md +0 -102
  2. data/post_questions_test/post_questions_test_000000000004.parquet +0 -3
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README.md DELETED
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- ---
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- annotations_creators:
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- - machine-generated
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- language:
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- - en
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- language_creators:
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- - found
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- license:
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- - apache-2.0
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- multilinguality:
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- - monolingual
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- pretty_name: stackoverflow_post_questions
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- size_categories:
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- - 1M<n<10M
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- source_datasets:
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- - original
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- tags:
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- - stackoverflow
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- - technical questions
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- task_categories:
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- - text-classification
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- task_ids:
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- - multi-class-classification
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- ---
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-
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- # Dataset Card for [Stackoverflow Post Questions]
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-
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- ## Table of Contents
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- - [Table of Contents](#table-of-contents)
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- - [Dataset Description](#dataset-description)
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- - [Dataset Summary](#dataset-summary)
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- - [Languages](#languages)
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- - [Dataset Structure](#dataset-structure)
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- - [Data Splits](#data-splits)
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- - [Dataset Creation](#dataset-creation)
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- - [Source Data](#source-data)
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- - [Contributions](#contributions)
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-
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- ## Dataset Description
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-
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- Companies that sell Open-source software tools usually hire an army of Customer representatives to try to answer every question asked about their tool. The first step in this process
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- is the prioritization of the question. The classification scale usually consists of 4 values, P0, P1, P2, and P3, with different meanings across every participant in the industry. On
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- the other hand, every software developer in the world has dealt with Stack Overflow (SO); the amount of shared knowledge there is incomparable to any other website. Questions in SO are
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- usually annotated and curated by thousands of people, providing metadata about the quality of the question. This dataset aims to provide an accurate prioritization for programming
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- questions.
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-
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-
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- ### Dataset Summary
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-
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- The dataset contains the title and body of stackoverflow questions and a label value(0,1,2,3) that was calculated using thresholds defined by SO badges.
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-
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- ### Languages
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-
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- English
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-
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- ## Dataset Structure
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-
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- title: string,
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- body: string,
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- label: int
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-
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- ### Data Splits
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-
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- The split is 40/40/20, where classes have been balaned to be around the same size.
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-
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- ## Dataset Creation
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-
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- The data set was extracted and labeled with the following query in BigQuery:
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-
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- ```
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- SELECT
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- title,
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- body,
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- CASE
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- WHEN score >= 100 OR favorite_count >= 100 OR view_count >= 10000 THEN 0
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- WHEN score >= 25 OR favorite_count >= 25 OR view_count >= 2500 THEN 1
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- WHEN score >= 10 OR favorite_count >= 10 OR view_count >= 1000 THEN 2
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- ELSE 3
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- END AS label
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- FROM `bigquery-public-data`.stackoverflow.posts_questions
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- ```
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-
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- ### Source Data
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-
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- The data was extracted from the Big Query public dataset: `bigquery-public-data.stackoverflow.posts_questions`
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-
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- #### Initial Data Collection and Normalization
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-
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- The original dataset contained high class imbalance:
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-
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- label count
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- 0 977424
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- 1 2401534
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- 2 3418179
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- 3 16222990
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- Grand Total 23020127
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-
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- The data was sampled from each class to have around the same amount of records on every class.
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-
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- ### Contributions
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-
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- Thanks to [@pacofvf](https://github.com/pacofvf) for adding this dataset.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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