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README.md
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@@ -24,17 +24,16 @@ Asma Ben Abacha, Eugene Agichtein, Yuval Pinter & Dina Demner-Fushman. Overview
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## Medical Training Data
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Currently, this part of the dataset is not integrated with huggingface.
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You can download the pre-processed jsonl that I have uploaded in the files tab instead.
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The dataset provides 634 question-answer pairs for training:
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1) TREC-2017-LiveQA-Medical-Train-1.xml => 388 question-answer pairs corresponding to 200 NLM questions.
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Each question is divided into one or more subquestion(s). Each subquestion has one or more answer(s).
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These question-answer pairs were constructed automatically and validated manually.
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2) TREC-2017-LiveQA-Medical-Train-2.xml => 246 question-answer pairs corresponding to 246 NLM questions.
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Answers were retrieved manually by librarians.
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The datasets are not exhaustive with regards to subquestions, i.e., some subquestions might not be annotated.
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Additional annotations are provided for both (i) the Focus and (ii) the Question Type used to define each subquestion.
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## Medical Training Data
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26 |
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|
|
|
|
|
|
27 |
The dataset provides 634 question-answer pairs for training:
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28 |
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1) TREC-2017-LiveQA-Medical-Train-1.xml => 388 question-answer pairs corresponding to 200 NLM questions.
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30 |
Each question is divided into one or more subquestion(s). Each subquestion has one or more answer(s).
|
31 |
+
These question-answer pairs were constructed automatically and validated manually.
|
32 |
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2) TREC-2017-LiveQA-Medical-Train-2.xml => 246 question-answer pairs corresponding to 246 NLM questions.
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+
Answers were retrieved manually by librarians.
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+
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**You can access Train 1 dataset by requesting the `train` split. Train 2 is the `dev` split by just convenience so you can request the `dev` split to download.**
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The datasets are not exhaustive with regards to subquestions, i.e., some subquestions might not be annotated.
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39 |
Additional annotations are provided for both (i) the Focus and (ii) the Question Type used to define each subquestion.
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