Dataset Card for escher-human-edit

Human Edit dataset

  Dataset Structure





  Data Instances

Each instance contains:

source_image: The original image edited_image: The edited version of the image edit_instruction: The instruction used to edit the image source_image_caption: Caption for the source image target_image_caption: Caption for the edited image Additional metadata fields

  Data Splits

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The serotonin 2C receptor (5-HT2CR)–a key regulator of diverse neurological processes–exhibits functional variability derived from editing of its pre-mRNA by site-specific adenosine deamination (A-to-I pre-mRNA editing) in five distinct sites. Here we describe a statistical technique that was developed for analysis of the dependencies among the editing states of the five sites. The statistical significance of the observed correlations was estimated by comparing editing patterns in multiple individuals. For both human and rat 5-HT2CR, the editing states of the physically proximal sites A and B were found to be strongly dependent. In contrast, the editing states of sites C and D, which are also physically close, seem not to be directly dependent but instead are linked through the dependencies on sites A and B, respectively. We observed pronounced differences between the editing patterns in humans and rats: in humans site A is the key determinant of the editing state of the other sites, whereas in rats this role belongs to site B. The structure of the dependencies among the editing sites is notably simpler in rats than it is in humans implying more complex regulation of 5-HT2CR editing and, by inference, function in the human brain. Thus, exhaustive statistical analysis of the 5-HT2CR editing patterns indicates that the editing state of sites A and B is the primary determinant of the editing states of the other three sites, and hence the overall editing pattern. Taken together, these findings allow us to propose a mechanistic model of concerted action of ADAR1 and ADAR2 in 5-HT2CR editing. Statistical approach developed here can be applied to other cases of interdependencies among modification sites in RNA and proteins.

Dataset Card for HQ-EDIT

HQ-Edit, a high-quality instruction-based image editing dataset with total 197,350 edits. Unlike prior approaches relying on attribute guidance or human feedback on building datasets, we devise a scalable data collection pipeline leveraging advanced foundation models, namely GPT-4V and DALL-E 3. HQ-Edit’s high-resolution images, rich in detail and accompanied by comprehensive editing prompts, substantially enhance the capabilities of existing image editing… See the full description on the dataset page: https://huggingface.co/datasets/UCSC-VLAA/HQ-Edit-data-demo.

This dataset contains all the data collected in the PhD thesis "Fostering human-centered, augmented machine translation: analysing interactive post-editing". The dataset contains the source texts and the post-edited translations, the MTUX scores, the quality and productivity scores, as well as the pre-task perceptions of each of the 11 translators who collaborated on the two-week longitudinal study.

The human evaluation (HE) dataset created for English to German (EnDe) and English to French (EnFr) MT tasks was a subset of one of the official test sets of the IWSLT 2016 evaluation campaign. The resulting HE sets are composed of 600 segments for both EnDe and EnFr, each corresponding to around 10,000 words. Human evaluation was based on Post-Editing, i.e. the manual correction of the MT system output, which was carried out by professional translators. Nine and five primary runs submitted to the evaluation campaign were post-edited for the two tasks, respectively.

Data are publicly available through the WIT3 website wit3.fbk.eu. 600 segments for both EnDe and EnFr (10K tokens each). Respectively, 9 and 5 different automatic translations post-edited by professional translators (for Analysis of MT quality and Quality Estimation components).

50,000 Sets - Image Editing Data. The editing types include human attribute editing, image semantic editing, and image structure editing. The editing targets cover scenes such as people, animals, goods, plants, and landscapes. In terms of annotation, based on the editing instructions, the targets that need to be edited in the image are edited. The data can be used for tasks such as image synthesis, data augmentation, and virtual scene generation.

The Gene-Editing Tools For Non-Human Primates Market report segments the industry into By Technology (CRISPR/Cas9, Transcription Activator-Like Effectror Nucleases (TALENs), Zinc Finger Nucleases (ZFNs), Others), By Application (Biomedical Research, Transgenic Model Development, Pharmaceutical Development, Gene Therapy Research), By End User (Research Institutions, and more), and Geography.

Human post-edited test sentences for the WMT 2017 Automatic post-editing task. This consists in 2,000 English sentences belonging to the IT domain and already tokenized. Source and target segments can be downloaded from: https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-2132. All data is provided by the EU project QT21 (http://www.qt21.eu/).

RNA editing levels of the AluJo sequence in OPHN1 pre-mRNA (sites 1–14) in human adult brain, spinal cord, skin, kidney and thyroid tissues. All the editing percentages are expressed as mean ± s.e.m. (n = 3).

This page hosts downloadable data related to RE-Aging: A Functional Analysis Platform for Human RNA Editing Associated with Aging.

AIdata.zip: Contains detailed information on all A-to-I RNA editing sites.
CUdata.zip: Includes comprehensive data on all C-to-U RNA editing sites.
data_all.zip: Provides a complete dataset of all RNA editing sites across both A-to-I and C-to-U types.
cor.zip: Contains information on the relationship between editing levels of A-to-I sites in various organs and age.
sample_info.zip: Includes the corresponding GTEx Sample Information, essential for contextualizing the data.

Relative edit time data from Chapter 6 "Paper-based semantic speech editing" from the PhD thesis "Semantic Audio Tools for Radio Production" by Chris Baume.

aGenomic position is the position in human genomic database from UCSC (http://genome.ucsc.edu, hg18 version, March 2006 assembly).bFrequency of RNA editing is presented as the percentage of the total population of transcripts.cReads is the number of transcripts sequenced.d11 new RNA editing sites identified by Li et al [24].

Because of the pivotal role of mitochondrial alterations in several diseases, the Human Proteome Organization (HUPO) has promoted in recent years an initiative to characterize the mitochondrial human proteome, the mitochondrial human proteome project (mt-HPP). Here we generated an updated version of the functional mitochondrial human proteome network, made by nodes (mitochondrial proteins) and edges (gold binary interactions), using data retrieved from neXtProt, the reference database for HPP metrics. The principal new concept suggested was the consideration of mitochondria-associated proteins (first interactors), which may influence mitochondrial functions. All of the proteins described as mitochondrial in the sublocation or the GO Cellular Component sections of neXtProt were considered. Their other subcellular and submitochondrial localizations have been analyzed. The network represents the effort to collect all of the high-quality binary interactions described so far for mitochondrial proteins and the possibility for the community to reuse the information collected. As a proof of principle, we mapped proteins with no function, to speculate on their role by the background knowledge of their interactors, and proteins described to be involved in Parkinson’s Disease, a neurodegenerative disorder, where it is known that mitochondria play a central role.

As per Cognitive Market Research's latest published report, the Global Gene Editing Service market size was $6.21 Billion in 2022 and it is forecasted to reach $18.77 Billion by 2030. Gene Editing Service Industry's Compound Annual Growth Rate will be 14.9% from 2023 to 2030. Factors Impacting on Gene Editing Service Market

The rising demand for gene therapy drives the Gene Editing Service Market growth

Gene therapy has marked its significant importance in the field of medication over the last few decades. Gene therapy is used for the treatment associated with the genetic disorder. The data from the National Human Genome Research Institute (2018) states that approx. 350 million people across the globe are living with rare disorders and fewer than 200,000 people are diagnosed with this condition. About 80 % of these rare disorders are genetic in origin. With technological advancement gene therapy has grown as a most considered option for the treatment and control of several life-threatening diseases. such as hemophilia. The data from US Centers for Disease Control and Prevention states the presence of around 30,000 – 33,000 people with hemophilia in the US. This raises the demand for the gene editing services market.

Challenges for the Gene Editing Service Market

High expenses related to gene editing can hamper the growth of the gene editing service market growth. (Access Detailed Analysis in the Full Report Version)

Rising R&D activities will boost the Gene Editing Service market growth

Gene editing is being explored in a varied array of diseases, including single-gene rare disorders such as sickle cell disease and hemophilia. The number of venture capital (VC) agreements for firms exploring gene editing technology has surged dramatically since 2012. According to GlobalData's Pharma Intelligence Center, the number of VC agreements climbed from one in 2012 to 29 in 2021, with the total value of VC deals reaching more than $3.2 billion since 2012. Over $1.3 billion was raised in 2021 alone, more than 250% higher than in 2020 ($500 million). This investment is expected to propel the growth of the market. What is Gene Editing?

Gene editing is also called genome editing. It is a group of technologies that permit researchers to make a change in the DNA of organisms. Currently, there are several approaches are being developed for gene editing. One of the popular gene editing technologies is the CRISPR-Cas9 system. These technologies enable the addition, elimination, or alteration of genetic information at precise locations in the genome.

FashionEngine is an interactive 3D human generation and editing system that enables easy and efficient production of 3D digital humans with multimodal control.

Protein-Protein, Genetic, and Chemical Interactions for Quinones-Valdez G (2019):Regulation of RNA editing by RNA-binding proteins in human cells. curated by BioGRID (https://thebiogrid.org); ABSTRACT: Adenosine-to-inosine (A-to-I) editing, mediated by the ADAR enzymes, diversifies the transcriptome by altering RNA sequences. Recent studies reported global changes in RNA editing in disease and development. Such widespread editing variations necessitate an improved understanding of the regulatory mechanisms of RNA editing. Here, we study the roles of?>200 RNA-binding proteins (RBPs) in mediating RNA editing in two human cell lines. Using RNA-sequencing and global protein-RNA binding data, we identify a number of RBPs as key regulators of A-to-I editing. These RBPs, such as TDP-43, DROSHA, NF45/90 and Ro60, mediate editing through various mechanisms including regulation of ADAR1 expression, interaction with ADAR1, and binding to Alu elements. We highlight that editing regulation by Ro60 is consistent with the global up-regulation of RNA editing in systemic lupus erythematosus. Additionally, most key editing regulators act in a cell type-specific manner. Together, our work provides insights for the regulatory mechanisms of RNA editing.

we used RNA-Seq to quantify the RNA editing level at more than 8,000 previously annotated exonic A-to-I RNA editing sites in two brain regions - prefrontal cortex and cerebellum - of humans, chimpanzees and rhesus macaques. We observed substantial conservation of RNA editing levels between the brain regions, as well as among the three primate species. Evolutionary changes in RNA editing were nonetheless evident among the species. Across lifespan, we observed an increase of the RNA editing level with advanced age in both brain regions of all three primate species. poly(A) enriched RNAs extracted from pooled samples of two brain regions: CBC and PFC of chimpanzee and macaque, fragmented, revers transcribed to double-stranded cDNA using random hexamers. Sequencing libraries were prepared according to the paired-end non-strand-specific sample preparation protocol of Illumina. Each sample was sequenced in a separate lane in the Illumina Genome Analyzer II system, using the 75-bp paired-end sequencing protocol. human data was downloaded from SRA [SRP005169]

Pyruvate Kinase Deficiency (PKD) is a rare erythroid metabolic disease caused by mutations in the PKLR gene, which encodes the erythroid specific Pyruvate Kinase enzyme. Erythrocytes from PKD patients show an energetic imbalance and are susceptible to hemolysis. Gene editing of hematopoietic stem cells (HSCs) would provide a therapeutic benefit and improve safety of gene therapy approaches to treat PKD patients. In previous studies, we established a gene editing protocol that corrected the PKD phenotype of PKD-iPSC lines through a TALEN mediated homologous recombination strategy. With the goal of moving toward more clinically relevant stem cells, we aim at editing the PKLR gene in primary human hematopoietic progenitors and hematopoietic stem cells (HPSCs). After nucleofection of the gene editing tools and selection with puromycin, up to 96% colony forming units showed precise integration. However, a low yield of gene edited HPSCs was associated to the procedure. To reduce toxicity while increasing efficacy, we worked on i) optimizing gene editing tools and ii) defining optimal expansion and selection times. Different versions of specific nucleases (TALEN and CRISPR-Cas9) were compared. TALEN mRNAs with 5’ and 3’ added motifs to increase RNA stability were the most efficient nucleases to obtain high gene editing frequency and low toxicity. Shortening ex vivo manipulation did not reduce the efficiency of homologous recombination and preserved the hematopoietic progenitor potential of the nucleofected HPSCs. Lastly, a very low level of gene edited HPSCs were detected after engraftment in immunodeficient (NSG) mice. Overall, we showed that gene editing of the PKLR gene in HPSCs is feasible, although further improvements must to be done before the clinical use of the gene editing to correct PKD.

RNA editing levels (%) of OPHN1 pre-mRNA (AluJo, sites 1–14) in human fetal brain 18th gestation week (GW18), fetal brain 20th–33rd gestation weeks (GW20–33), adult brain and cerebellum are expressed as mean ± s.e.m (n = 3).

Human post-edited and reference test sentences for the En-De PBSMT WMT 2018 Automatic post-editing task. This consists of 2,000 German sentences for each file belonging to the IT domain and already tokenized. All data is provided by the EU project QT21 (http://www.qt21.eu/).