Asus
Datasets
All datasets matching “Asus”QALMThe QALM Benchmark utilizes the following datasets:
MEDQA (USMLE dataset) [1]
MEDMCQA [2]
BioASQ (2022) [3] [4]
HEADQA [5]
ProcessBank [6]
PubmedQA [7]
MMLU (subset of datasets focussing on clinical and medical knowledge) [8]
BioMRC (Tiny A and B) [9]
Fellowship of the Royal College of Ophthalmologists (FRCOphth) Exams [10]
QA4MRE (Alzheimer's Questions) [11]
MedicationInfo [12]
MedQuad [13]
LiveQA dataset (Ranked version of answers used to evaluate MedQuad) [13] [14]
MashQA [15]
MEDIQA-ANS… See the full description on the dataset page: https://huggingface.co/datasets/asus-aics/QALM.asu-scrap-silver-data-v1casWe manually annotated two corpora from the biomedical field. The ESSAI corpus contains clinical trial protocols in French. They were mainly obtained from the National Cancer Institute The typical protocol consists of two parts: the summary of the trial, which indicates the purpose of the trial and the methods applied; and a detailed description of the trial with the inclusion and exclusion criteria. The CAS corpus contains clinical cases published in scientific literature and training material. They are published in different journals from French-speaking countries (France, Belgium, Switzerland, Canada, African countries, tropical countries) and are related to various medical specialties (cardiology, urology, oncology, obstetrics, pulmonology, gastro-enterology). The purpose of clinical cases is to describe clinical situations of patients. Hence, their content is close to the content of clinical narratives (description of diagnoses, treatments or procedures, evolution, family history, expected audience, etc.). In clinical cases, the negation is frequently used for describing the patient signs, symptoms, and diagnosis. Speculation is present as well but less frequently.
This version only contain the annotated CAS corpusntcir_13_medwebNTCIR-13 MedWeb (Medical Natural Language Processing for Web Document) task requires
to perform a multi-label classification that labels for eight diseases/symptoms must
be assigned to each tweet. Given pseudo-tweets, the output are Positive:p or Negative:n
labels for eight diseases/symptoms. The achievements of this task can almost be
directly applied to a fundamental engine for actual applications.
This task provides pseudo-Twitter messages in a cross-language and multi-label corpus,
covering three languages (Japanese, English, and Chinese), and annotated with eight
labels such as influenza, diarrhea/stomachache, hay fever, cough/sore throat, headache,
fever, runny nose, and cold.
For more information, see:
http://research.nii.ac.jp/ntcir/permission/ntcir-13/perm-en-MedWeb.html
As this dataset also provides a parallel corpus of pseudo-tweets for english,
japanese and chinese it can also be used to train translation models between
these three languages.uwaterloo-personasessaiWe manually annotated two corpora from the biomedical field. The ESSAI corpus contains clinical trial protocols in French. They were mainly obtained from the National Cancer Institute The typical protocol consists of two parts: the summary of the trial, which indicates the purpose of the trial and the methods applied; and a detailed description of the trial with the inclusion and exclusion criteria. The CAS corpus contains clinical cases published in scientific literature and training material. They are published in different journals from French-speaking countries (France, Belgium, Switzerland, Canada, African countries, tropical countries) and are related to various medical specialties (cardiology, urology, oncology, obstetrics, pulmonology, gastro-enterology). The purpose of clinical cases is to describe clinical situations of patients. Hence, their content is close to the content of clinical narratives (description of diagnoses, treatments or procedures, evolution, family history, expected audience, etc.). In clinical cases, the negation is frequently used for describing the patient signs, symptoms, and diagnosis. Speculation is present as well but less frequently.
This version only contain the annotated ESSAI corpus