Datasets:
article stringlengths 1.95k 164k | summary stringlengths 987 4.09k | section_headings stringclasses 105
values | keywords stringclasses 296
values | year stringdate 2012-01-01 00:00:00 2022-01-01 00:00:00 | title stringlengths 30 189 | article_length int64 452 51k | summary_length int64 242 870 |
|---|---|---|---|---|---|---|---|
In temperate climates, winter deaths exceed summer ones. However, there is limited information on the timing and the relative magnitudes of maximum and minimum mortality, by local climate, age group, sex and medical cause of death. We used geo-coded mortality data and wavelets to analyse the seasonality of mortality by... | In the USA, more deaths happen in the winter than the summer. But when deaths occur varies greatly by sex, age, cause of death, and possibly region. Seasonal differences in death rates can change over time due to changes in factors that cause disease or affect treatment. Analyzing the seasonality of deaths can help sci... | Abstract
Introduction
Results
Discussion
Materials and methods | epidemiology and global health | 2018 | National and regional seasonal dynamics of all-cause and cause-specific mortality in the USA from 1980 to 2016 | 3,749 | 403 |
Whether complement dysregulation directly contributes to the pathogenesis of peripheral nervous system diseases, including sensory neuropathies, is unclear. We addressed this important question in a mouse model of ocular HSV-1 infection, where sensory nerve damage is a common clinical problem. Through genetic and pharm... | Most people have likely experienced the discomfort of an eyelash falling onto the surface of their eye. Or that gritty sensation when dust blows into the eye and irritates the surface. These sensations are warnings from sensory nerves in the cornea, the transparent tissue that covers the iris and pupil. Corneal nerves ... | Abstract
Introduction
Results
Discussion
Materials and methods | microbiology and infectious disease
immunology and inflammation | 2019 | Complement and CD4+ T cells drive context-specific corneal sensory neuropathy | 14,453 | 490 |
Variation in the presentation of hereditary immunodeficiencies may be explained by genetic or environmental factors. Patients with mutations in HOIL1 (RBCK1) present with amylopectinosis-associated myopathy with or without hyper-inflammation and immunodeficiency. We report that barrier-raised HOIL-1-deficient mice exhi... | The immune system protects an individual from invading bacteria, viruses and parasites, as well as malfunctioning or cancerous host cells. However, some people inherit genetic defects that cause part of the immune system to be missing or to not work properly. This is called a genetic immunodeficiency, and puts individu... | Abstract
Introduction
Results
Discussion
Materials and methods | microbiology and infectious disease
immunology and inflammation | 2015 | Phenotypic complementation of genetic immunodeficiency by chronic herpesvirus infection | 17,726 | 585 |
Rapid and flexible interpretation of conflicting sensory inputs in the context of current goals is a critical component of cognitive control that is orchestrated by frontal cortex. The relative roles of distinct subregions within frontal cortex are poorly understood. To examine the dynamics underlying cognitive control... | The brain adapts to control our behavior in different ways depending on the specific situation, which is particularly useful when deciding how to interpret conflicting sets of information. The' Stroop task' is a classic demonstration of this process. In this task, individuals are shown words where the color and the mea... | Abstract
Introduction
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Discussion
Materials and methods | neuroscience | 2016 | Cascade of neural processing orchestrates cognitive control in human frontal cortex | 12,187 | 436 |
"Myosin 5a is a dual-headed molecular motor that transports cargo along actin filaments. By followin(...TRUNCATED) | "Cells use motor proteins that to move organelles and other cargos from one place to another. The my(...TRUNCATED) | Abstract
Introduction
Results
Discussion
Materials and methods | structural biology and molecular biophysics | 2015 | "Structural dynamics of myosin 5 during processive motion revealed by interferometric scattering mic(...TRUNCATED) | 13,922 | 454 |
"The latent reservoir is a major barrier to HIV cure. As latently infected cells cannot be phenotype(...TRUNCATED) | "There is no cure for the human immunodeficiency virus infection (HIV), but anti-retroviral drugs al(...TRUNCATED) | Abstract
Introduction
Results
Discussion
Materials and methods | microbiology and infectious disease | 2020 | Phenotypic analysis of the unstimulated in vivo HIV CD4 T cell reservoir | 16,243 | 595 |
"Object manufacture in insects is typically inherited, and believed to be highly stereotyped. Optimi(...TRUNCATED) | "Male tree crickets produce sounds at a specific pitch to attract females. The louder the call, the (...TRUNCATED) | Abstract
Introduction
Results
Discussion
Materials and methods | ecology
computational and systems biology | 2017 | Tree crickets optimize the acoustics of baffles to exaggerate their mate-attraction signal | 6,671 | 569 |
"Missense mutations of valosin-containing protein (VCP) cause an autosomal dominant disease known as(...TRUNCATED) | "A disease called “inclusion body myopathy, Paget disease and frontotemporal dementia (IBMPFD) ”(...TRUNCATED) | Abstract
Introduction
Results
Discussion
Materials and methods | neuroscience | 2017 | "Valosin-containing protein (VCP/p97) inhibitors relieve Mitofusin-dependent mitochondrial defects d(...TRUNCATED) | 24,365 | 477 |
"Mammals produce volatile odours that convey different types of societal information. In Homo sapien(...TRUNCATED) | "Human body odour contains a number of chemicals, but the most pungent and recognisable are thioalco(...TRUNCATED) | Abstract
Introduction
Results
Discussion
Materials and methods | structural biology and molecular biophysics
microbiology and infectious disease | 2018 | Structural basis of malodour precursor transport in the human axilla | 14,273 | 385 |
"Monocytes are phagocytic effector cells in the blood and precursors of resident and inflammatory ti(...TRUNCATED) | "White blood cells form part of the immune system, which protects the body against infectious diseas(...TRUNCATED) | Abstract
Introduction
Results
Discussion
Materials and methods | cell biology
immunology and inflammation | 2015 | Immune surveillance of the lung by migrating tissue monocytes | 16,431 | 384 |
YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
scientific_lay_summarisation - elife - normalized
This is the "elife" split. For more words, refer to the PLOS split README
Contents
load with datasets:
from datasets import load_dataset
# If the dataset is gated/private, make sure you have run huggingface-cli login
dataset = load_dataset("pszemraj/scientific_lay_summarisation-elife-norm")
dataset
Output:
DatasetDict({
train: Dataset({
features: ['article', 'summary', 'section_headings', 'keywords', 'year', 'title', 'article_length', 'summary_length'],
num_rows: 4346
})
test: Dataset({
features: ['article', 'summary', 'section_headings', 'keywords', 'year', 'title', 'article_length', 'summary_length'],
num_rows: 241
})
validation: Dataset({
features: ['article', 'summary', 'section_headings', 'keywords', 'year', 'title', 'article_length', 'summary_length'],
num_rows: 241
})
})
Lengths
Train set:
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