

# Dataset Card for MEDIQA QA

## Dataset Description

- **Homepage:** https://sites.google.com/view/mediqa2019
- **Pubmed:** False
- **Public:** True
- **Tasks:** QA


The MEDIQA challenge is an ACL-BioNLP 2019 shared task aiming to attract further research efforts in Natural Language Inference (NLI), Recognizing Question Entailment (RQE), and their applications in medical Question Answering (QA).
Mailing List: https://groups.google.com/forum/#!forum/bionlp-mediqa

In the QA task, participants are tasked to:
- filter/classify the provided answers (1: correct, 0: incorrect).
- re-rank the answers.



## Citation Information

```
@inproceedings{MEDIQA2019,
  author    = {Asma {Ben Abacha} and Chaitanya Shivade and Dina Demner{-}Fushman},
  title     = {Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering},
  booktitle = {ACL-BioNLP 2019},
  year      = {2019}
}

```

multilinguality:monolingual language:en license:unknown region:us
{"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "MEDIQA QA", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "https://sites.google.com/view/mediqa2019", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["QUESTION_ANSWERING"]}
TAGS
#multilinguality-monolingual #language-English #license-unknown #region-us 



# Dataset Card for MEDIQA QA

## Dataset Description

- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: QA


The MEDIQA challenge is an ACL-BioNLP 2019 shared task aiming to attract further research efforts in Natural Language Inference (NLI), Recognizing Question Entailment (RQE), and their applications in medical Question Answering (QA).
Mailing List: URL

In the QA task, participants are tasked to:
- filter/classify the provided answers (1: correct, 0: incorrect).
- re-rank the answers.







# Dataset Card for MEDIQA QA ## Dataset Description

- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: QA


The MEDIQA challenge is an ACL-BioNLP 2019 shared task aiming to attract further research efforts in Natural Language Inference (NLI), Recognizing Question Entailment (RQE), and their applications in medical Question Answering (QA).
Mailing List: URL

In the QA task, participants are tasked to:
- filter/classify the provided answers (1: correct, 0: incorrect).
- re-rank the answers.
TAGS
#multilinguality-monolingual #language-English #license-unknown #region-us 
 # Dataset Card for MEDIQA QA ## Dataset Description

- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: QA


The MEDIQA challenge is an ACL-BioNLP 2019 shared task aiming to attract further research efforts in Natural Language Inference (NLI), Recognizing Question Entailment (RQE), and their applications in medical Question Answering (QA).
Mailing List: URL

In the QA task, participants are tasked to:
- filter/classify the provided answers (1: correct, 0: incorrect).
- re-rank the answers.
passage: TAGS
#multilinguality-monolingual #language-English #license-unknown #region-us 
# Dataset Card for MEDIQA QA## Dataset Description

- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: QA


The MEDIQA challenge is an ACL-BioNLP 2019 shared task aiming to attract further research efforts in Natural Language Inference (NLI), Recognizing Question Entailment (RQE), and their applications in medical Question Answering (QA).
Mailing List: URL

In the QA task, participants are tasked to:
- filter/classify the provided answers (1: correct, 0: incorrect).
- re-rank the answers.