diff --git a/README.md b/README.md
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index 1d66baac46bcf70041f8ab0d270ddee1ea53fc59..0000000000000000000000000000000000000000
--- a/README.md
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----
-annotations_creators:
-- machine-generated
-language:
-- en
-language_creators:
-- found
-license:
-- apache-2.0
-multilinguality:
-- monolingual
-pretty_name: stackoverflow_post_questions
-size_categories:
-- 1M<n<10M
-source_datasets:
-- original
-tags:
-- stackoverflow
-- technical questions
-task_categories:
-- text-classification
-task_ids:
-- multi-class-classification
----
-
-# Dataset Card for [Stackoverflow Post Questions]
-
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Source Data](#source-data)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-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 
-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 
-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 
-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 
-questions.
-
-
-### Dataset Summary
-
-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.
-
-### Languages
-
-English
-
-## Dataset Structure
-
-title: string,
-body: string,
-label: int
-
-### Data Splits
-
-The split is 40/40/20, where classes have been balaned to be around the same size.
-
-## Dataset Creation
-
-The data set was extracted and labeled with the following query in BigQuery:
-
-```
-SELECT
-  title,
-  body,
-  CASE
-    WHEN score >= 100 OR favorite_count >= 100 OR view_count >= 10000 THEN 0
-    WHEN score >= 25 OR favorite_count >= 25 OR view_count >= 2500  THEN 1
-    WHEN score >= 10 OR favorite_count >= 10 OR view_count >= 1000 THEN 2
-    ELSE 3
-  END AS label
-FROM `bigquery-public-data`.stackoverflow.posts_questions
-```
-
-### Source Data
-
-The data was extracted from the Big Query public dataset: `bigquery-public-data.stackoverflow.posts_questions`
-
-#### Initial Data Collection and Normalization
-
-The original dataset contained high class imbalance:
-
-label	count
-0	977424
-1	2401534
-2	3418179
-3	16222990
-Grand Total	23020127
-
-The data was sampled from each class to have around the same amount of records on every class.
-
-### Contributions
-
-Thanks to [@pacofvf](https://github.com/pacofvf) for adding this dataset.
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