Explanation Dataset For Question Answering Systems

---

Explanation Dataset for Question Answering Systems

Reddit Q&A Dataset for Question Answering Systems

By eli5 (From Huggingface) [source]

---

About this dataset

This dataset provides a comprehensive collection of coherent question and answer data from Reddit users, meticulously gathered to facilitate the training and testing of question answering systems. The dataset comprises various columns that contain vital information, including the title of the post on Reddit, the main text content (selftext), and a combination of both (document). Furthermore, it includes relevant details such as the subreddit where each post was made.

To offer a more detailed understanding of the data, multiple columns are dedicated to URLs mentioned in different sections of each post. These sections include not only the title but also the selftext and any answers provided by other Reddit users. This comprehensive coverage allows for in-depth analysis and exploration of how URLs are shared within various contexts.

Included in this dataset is train_askh.csv, which specifically focuses on providing high-quality training data for question answering systems. Additionally, there are two test datasets available: test_eli5.csv containing coherent question and answer data to evaluate model performance accurately, and test_asks.csv, which offers questions alongside their corresponding titles, additional text content (if applicable), documents, information about associated subreddits, answers received from Reddit users (if available), as well as any relevant URLs mentioned within these components.

Overall, this extensively curated dataset serves as an invaluable resource for researchers and developers aiming to enhance existing question answering systems or build new ones with improved accuracy by leveraging carefully annotated Q&A extraction from real-world scenarios on Reddit

How to use the dataset

Before diving into the dataset, let's understand the columns and what they represent:

• title: The title of the post on Reddit.
• selftext: The main text content of the post on Reddit.
• document: The combined text of the title and selftext columns.
• subreddit: The subreddit where the post was made.
• answers: The answers provided by Reddit users in response to the post.
• title_urls: URLs mentioned in the title of the post.
• selftext_urls: URLs mentioned in the selftext of the post.
• answers_urls: URLs mentioned in the answers provided by Reddit users.

To effectively use this dataset, here are a few steps you can follow:

• Explore Questions: Start by analyzing and exploring questions posted by Reddit users present in various subreddits using columns like title, selftext, or document. These columns provide valuable insights into user-generated questions that can be used for training or testing purposes.

• Analyze Answers: Dive deeper into understanding responses provided by Reddit users using column answers. This column includes valuable information that can help develop robust question answering systems.

• Analyze Subreddit: Utilize column subreddit to identify which subreddit(s) specific posts belong to.This information can be helpful for context or categorization purposes.

• Extract URLs: Columns like title_urls, selftext_urls, and answers_urls provide links mentioned within posts—leveraging these links could enhance your understanding or direct you towards external resources relevant to a particular question or answer.

Remember that dates are not included in this dataset.Let's now discuss the different files available in the dataset:

• train_askh.csv: This file contains a curated dataset of coherent question and answer data from Reddit users suitable for training question answering systems.

• test_eli5.csv: This file is specifically designed to test your question answering systems using coherent question and answer data from Reddit users.

• test_asks.csv: This file contains a dataset of questions asked by Reddit users, along with their corresponding titles, additional text, documents, subreddit information, answers, and URLs related to the titles, additional text, and answers.

We hope this guide helps you effectively utilize the

Research Ideas

• Training question answering systems: This dataset can be used to train and improve question answering systems by providing coherent question and answer pairs from Reddit users. By using this dataset, models can learn to understand different types of questions and generate appropriate answers.
• Evaluating question answering systems: The dataset can also be used to evaluate the performance of existing question answering systems. By testing these systems on the provided questions and comparing their generated answers with the actual answers from Reddit users, researchers can assess the accuracy and effectiveness of their models.
• Studying user-generated content: This dataset offers an opportunity to analyze user-generated content on Reddit in a coherent Q&A format. Researchers can study the types of questions that are asked, common topics discussed, popular subreddits for Q&A interactions, as well as URLs shared within these discussions. It provides insights into how people seek information and engage in discussions online

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: train_askh.csv

---

File: test_eli5.csv

---

File: test_asks.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit eli5 (From Huggingface).