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- <br />
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- <div align="center">
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- <h2 align="center">AskDocs: A medical QA dataset</h2>
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- <img src="https://images.emojiterra.com/google/noto-emoji/v2.034/512px/1fa7a.png" alt="https://en.wikipedia.org/wiki/Stethoscope" width="250">
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- <br />
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- <img alt="GitHub release (latest by date)" src="https://img.shields.io/github/v/release/ju-resplande/askD">
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- <img alt="GitHub" src="https://img.shields.io/github/license/ju-resplande/askD">
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- <img alt="GitHub Repo stars" src="https://img.shields.io/github/stars/ju-resplande/askD?style=social">
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- <p align="center">
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- <b>
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- <a href="https://huggingface.co/datasets/eli5">ELI5 dataset</a> adapted on <a href="https://www.reddit.com/r/AskDocs/">Medical Questions (AskDocs)</a> subreddit.
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- </b>
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- </p>
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- </div>
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-
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- ## Getting Started
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-
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- | Languages | Splits|
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- | --- | --- |
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- | en | train_en, validation_en, test_en, external_en |
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- | pt | train_pt, validation_pt, test_pt, external_pt |
 
 
 
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  We additionally translated to Portuguese and used <a href="https://github.com/LasseRegin/medical-question-answer-data"> external data from here<a>.
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- External data are from binary classification dataset "a QNLI medical-like", we adapted to value 5 or 0.
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- ### Usage
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- #### Datasets :hugs
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- ```python
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- from datasets import load_dataset
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- data = load_dataset("ju-resplande/askD", "train_pt")
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- # ['train_en', 'validation_en', 'test_en', 'external_en', 'train_pt', 'validation_pt', 'test_pt', 'external_pt']
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ## Citing
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  ```bibtex
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  @misc{Gomes20202,
@@ -48,6 +156,6 @@ data = load_dataset("ju-resplande/askD", "train_pt")
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  }
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  ```
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- ## Acknowledgments
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- [@viniciusplo](https://github.com/viniciusplo) and [@ruanchaves](https://github.com/ruanchaves) for giving the idea. :smiley:
 
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+ ---
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+ annotations_creators:
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+ - no-annotation
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+ language_creators:
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+ - found
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+ - machine-generated
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+ languages:
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+ - en, pt
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+ licenses:
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+ - lgpl-3.0
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+ multilinguality:
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+ - multilingual
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+ - translation
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+ pretty_name: AskDocs
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+ size_categories:
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+ - 100K<n<1M
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+ source_datasets:
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+ - extended|eli5
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+ task_categories:
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+ - abstractive-qa
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+ - open-domain-abstrative-qa
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+ task_ids:
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+ - text2text-generation
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+ ---
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+ # Dataset Card for askD
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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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+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+ - [Contributions](#contributions)
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+
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+ ## Dataset Description
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+
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+ - **Repository:** https://github.com/ju-resplande/askD
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+ - **Paper:**
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+ - **Leaderboard:**
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+ - **Point of Contact:**
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+
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+ ### Dataset Summary
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+
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+ [ELI5 dataset](https://huggingface.co/datasets/eli5) adapted on [Medical Questions (AskDocs)](https://www.reddit.com/r/AskDocs/) subreddit.
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  We additionally translated to Portuguese and used <a href="https://github.com/LasseRegin/medical-question-answer-data"> external data from here<a>.
 
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+ ### Supported Tasks and Leaderboards
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+ [More Information Needed]
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+ ### Languages
 
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+ The language data in AskD is English (BCP-47 en) and Brazilian Portuguese (BCP-47 pt-BR)
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ [More Information Needed]
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+
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+ ### Data Fields
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+
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+ [More Information Needed]
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+
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+ ### Data Splits
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+
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+ | | Train | Valid | Test | External |
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+ | ----- | ------ | ----- | ---- | -------- |
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+ | en | 24256 | 5198 | 5198 | 166804 |
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+ | pt | 24256 | 5198 | 5198 | 166804 |
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+
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+ [More Information Needed]
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+ ### Annotations
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+ #### Annotation process
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+ [More Information Needed]
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+
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [More Information Needed]
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+
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+ ### Discussion of Biases
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+ [More Information Needed]
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [More Information Needed]
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+
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+ ### Licensing Information
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+
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+ [More Information Needed]
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+ ### Citation Information
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  ```bibtex
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  @misc{Gomes20202,
 
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  }
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  ```
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+ ### Contributions
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+ Thanks to [@ju-resplande](https://github.com/ju-resplande) for adding this dataset.