dataset_info:
- config_name: conversational
features:
- name: id
dtype: string
- name: prompt
list:
- name: role
dtype: string
- name: content
dtype: string
- name: completion
list:
- name: role
dtype: string
- name: content
dtype: string
- name: Label
dtype: string
splits:
- name: train
num_bytes: 283554445
num_examples: 10056
- name: dev
num_bytes: 35346676
num_examples: 1233
- name: test
num_bytes: 33704913
num_examples: 1222
download_size: 135010348
dataset_size: 352606034
- config_name: processed
features:
- name: pmcid
dtype: int64
- name: Label
dtype: string
- name: evidence
dtype: string
- name: Intervention
dtype: string
- name: Comparator
dtype: string
- name: Outcome
dtype: string
- name: id
dtype: string
- name: Question
dtype: string
- name: type
dtype: string
- name: Article_Content
dtype: string
splits:
- name: train
num_bytes: 274957749
num_examples: 10056
- name: dev
num_bytes: 34289856
num_examples: 1233
- name: test
num_bytes: 32666390
num_examples: 1222
download_size: 110000820
dataset_size: 341913995
- config_name: source
features:
- name: pmcid
dtype: int64
- name: label
dtype: string
- name: evidence
dtype: string
- name: intervention
dtype: string
- name: comparator
dtype: string
- name: outcome
dtype: string
- name: id
dtype: string
- name: document_id
dtype: string
- name: question
dtype: string
- name: type
dtype: string
- name: choices
sequence: string
- name: context
dtype: string
- name: answer
sequence: string
- name: Article_Content
dtype: string
splits:
- name: train
num_bytes: 278183969
num_examples: 10056
- name: dev
num_bytes: 34690485
num_examples: 1233
- name: test
num_bytes: 33059393
num_examples: 1222
download_size: 109149239
dataset_size: 345933847
configs:
- config_name: conversational
data_files:
- split: train
path: conversational/train-*
- split: dev
path: conversational/dev-*
- split: test
path: conversational/test-*
- config_name: processed
data_files:
- split: train
path: processed/train-*
- split: dev
path: processed/dev-*
- split: test
path: processed/test-*
- config_name: source
data_files:
- split: train
path: source/train-*
- split: dev
path: source/dev-*
- split: test
path: source/test-*
license: cc-by-sa-4.0
task_categories:
- question-answering
- text-classification
language:
- en
tags:
- medical
pretty_name: Evidence Inference 2.0
size_categories:
- 10K<n<100K
Evidence Inference 2.0
Dataset Description
Homepage: [https://paperswithcode.com/dataset/evidence-inference-2-0](Papers with Code)
Original Repository: https://github.com/jayded/evidence-inference
Points of Contact:
Main Original Author - Jay DeYoung ([email protected])
Huggingface Curator and Mantainer - Artur Guimarães ([email protected])
Dataset Summary
The dataset consists of biomedical articles describing randomized control trials (RCTs) that compare multiple treatments. Each of these articles will have multiple questions, or 'prompts' associated with them. These prompts will ask about the relationship between an intervention and comparator with respect to an outcome, as reported in the trial. For example, a prompt may ask about the reported effects of aspirin as compared to placebo on the duration of headaches.
Data Instances
{
'TO:DO': ...,
...
}
Data Fields
TO:DO
Additional Information
Dataset Curators
Original Paper
- Jay DeYoung ([email protected]) - Khoury College of Computer Sciences, Northeastern University
- Eric Lehman ([email protected]) - Khoury College of Computer Sciences, Northeastern University
- Ben Nye ([email protected]) - Khoury College of Computer Sciences, Northeastern University
- Iain J. Marshall ([email protected]) - Kings College London
- Byron C. Wallace ([email protected]) - Khoury College of Computer Sciences, Northeastern University
Huggingface Curator
- Artur Guimarães ([email protected]) - INESC-ID / University of Lisbon - Instituto Superior Técnico
Licensing Information
Citation Information
@article{deyoung2020evidence,
title={Evidence inference 2.0: More data, better models},
author={DeYoung, Jay and Lehman, Eric and Nye, Ben and Marshall, Iain J and Wallace, Byron C},
journal={arXiv preprint arXiv:2005.04177},
year={2020}
}
Contributions
Thanks to araag2 for adding this dataset.