Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-class-classification
Languages:
English
Size:
1M - 10M
License:
Commit
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- README.md +0 -102
- data/post_questions_test/post_questions_test_000000000004.parquet +0 -3
- data/post_questions_test/post_questions_test_000000000005.parquet +0 -3
- data/post_questions_test/post_questions_test_000000000006.parquet +0 -3
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- data/post_questions_test/post_questions_test_000000000013.parquet +0 -3
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- data/post_questions_train/post_questions_train_000000000000.parquet +0 -3
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- data/post_questions_test/post_questions_test_000000000003.parquet → pacovaldez--stackoverflow-questions/parquet-test-00000-of-00005.parquet +2 -2
- data/post_questions_test/post_questions_test_000000000000.parquet → pacovaldez--stackoverflow-questions/parquet-test-00001-of-00005.parquet +2 -2
- data/post_questions_test/post_questions_test_000000000001.parquet → pacovaldez--stackoverflow-questions/parquet-test-00002-of-00005.parquet +2 -2
- data/post_questions_test/post_questions_test_000000000002.parquet → pacovaldez--stackoverflow-questions/parquet-test-00003-of-00005.parquet +2 -2
- pacovaldez--stackoverflow-questions/parquet-test-00004-of-00005.parquet +3 -0
- pacovaldez--stackoverflow-questions/parquet-train-00000-of-00005.parquet +3 -0
- pacovaldez--stackoverflow-questions/parquet-train-00001-of-00005.parquet +3 -0
- pacovaldez--stackoverflow-questions/parquet-train-00002-of-00005.parquet +3 -0
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README.md
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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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# Dataset Card for [Stackoverflow Post Questions]
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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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## Dataset Description
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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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### Dataset Summary
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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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### Languages
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English
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## Dataset Structure
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title: string,
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body: string,
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label: int
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### Data Splits
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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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## Dataset Creation
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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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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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### Source Data
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The data was extracted from the Big Query public dataset: `bigquery-public-data.stackoverflow.posts_questions`
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#### Initial Data Collection and Normalization
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The original dataset contained high class imbalance:
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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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The data was sampled from each class to have around the same amount of records on every class.
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### Contributions
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Thanks to [@pacofvf](https://github.com/pacofvf) for adding this dataset.
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