Dataset Card for "ai2_arc"

  Dataset Summary

A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also including a corpus of over 14 million science sentences relevant to… See the full description on the dataset page: https://huggingface.co/datasets/allenai/ai2_arc.

Italian version of the Arc Challenge dataset (ARC-c)

The dataset has been automatically translate by using Argos Translate v. 1.9.1

  Citation Information

@misc{basile2023llamantino, title={LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language}, author={Pierpaolo Basile and Elio Musacchio and Marco Polignano and Lucia Siciliani and Giuseppe Fiameni and Giovanni Semeraro}, year={2023}, eprint={2312.09993}… See the full description on the dataset page: https://huggingface.co/datasets/swap-uniba/arc_challenge_ita.

ARC-C-fi-HT is a high-quality, human translation into Finnish of the ARC-Challenge dataset test split. It was presented as part of the paper "Comparing Human and Machine Translations of Generative Language Model Evaluation Datasets". Please consult the paper for details: https://dspace.ut.ee/items/4483459d-ea67-419b-be69-b9c826355a16 We include two versions:

ARC-C-fi-HTv1 is the result of the first round of translation ARC-C-fi-HT is the second and final round of translation; we consider… See the full description on the dataset page: https://huggingface.co/datasets/silogen/ARC-C-fi-HT.

Growler is a C++-based distributed object and event architecture. It is written in C++, and supports serialization of C++ objects as part of its Remote Method Invocation, Event Channels, and in its Interface Definition Language. Its primary application has been in support of interactive, distributed visualization, computational steering, and concurrent visualization, but it is a general purpose system for distributed programming.

ThomasTheMaker/arc-stack-c dataset hosted on Hugging Face and contributed by the HF Datasets community

The Geometry Manipulation Protocol (GMP) is a library which serializes datatypes between XML and ANSI C data structures to support CFD applications. This library currently provides a description of geometric configurations, general moving-body scenarios (prescribed and/or 6-DOF), and control surface settings.

Optogenetic activation of c-FOS in the ARC after AAV-ChR2 delivery to the PVN (n = 3 males).

Risk estimates of CART Terminal Nodes for patients with the C subtype of ARC.

Compilation of C isotopes of volcanic emissions and the forg (fraction of total carbon buried that is organic) of subducting sediments for various global arc-trench systems. Dataset was compiled to show how forg of subducting sediments may control the C isotopes of arc CO2 emissions.

Annual temperature amplitude (°C) dataset at about 10 km resolution at the equator, using different climate data source and based on different Representative Concentration Pathways (RCPs) according to the time period as follows: - climate data source CRUTS32 based on historical data for the time period 1981-2010; - climate data source ENSEMBLE based on the Representative Concentration Pathway RCP8.5 for time periods 2041-2070 and 2071-2100. The Annual temperature amplitude (°C) dataset is part of the GAEZ v4 Agro-climatic Resources - Thermal Regime sub-theme. For additional information, please refer to the GAEZ v4 Model Documentation.

Indic-Benchmark/kannada-arc-c-2.5k dataset hosted on Hugging Face and contributed by the HF Datasets community

In Directed Feedback Arc Set (DFAS) we search for a set of at most k arcs which intersect every cycle in the input digraph. It is a well-known open problem in parameterized complexity to decide if DFAS admits a kernel of polynomial size. We consider C-Arc Deletion Set (C-ADS), a variant of DFAS where we want to remove at most k arcs from the input digraph in order to turn it into a digraph of a class C. In this work, we choose C to be the class of funnels. Funnel-ADS is NP-hard even if the input is a DAG, but is fixed-parameter tractable with respect to k. So far no polynomial kernels for this problem were known. Our main result is a kernel for Funnel-ADS with O(k6) many vertices and O(k7) many arcs, computable in O(nm) time, where n is the number of vertices and m the number of arcs in the input digraph.

MLI-C-ARC : Mali, TB/HIV, Association pour Résilience des Communautés vers l’Accès au Développement et à la Santé Plus

Protein-Protein, Genetic, and Chemical Interactions for Koseki T (1998):ARC, an inhibitor of apoptosis expressed in skeletal muscle and heart that interacts selectively with caspases. curated by BioGRID (https://thebiogrid.org); ABSTRACT: We have identified and characterized ARC, apoptosis repressor with caspase recruitment domain (CARD). Sequence analysis revealed that ARC contains an N-terminal CARD fused to a C-terminal region rich in proline/glutamic acid residues. The CARD domain of ARC exhibited significant homology to the prodomains of apical caspases and the CARDs present in the cell death regulators Apaf-1 and RAIDD. Immunoprecipitation analysis revealed that ARC interacts with caspase-2, -8, and Caenorhabditis elegans CED-3, but not with caspase-1, -3, or -9. ARC inhibited apoptosis induced by caspase-8 and CED-3 but not that mediated by caspase-9. Further analysis showed that the enzymatic activity of caspase-8 was inhibited by ARC in 293T cells. Consistent with the inhibition of caspase-8, ARC attenuated apoptosis induced by FADD and TRADD and that triggered by stimulation of death receptors coupled to caspase-8, including CD95/Fas, tumor necrosis factor-R1, and TRAMP/DR3. Remarkably, the expression of human ARC was primarily restricted to skeletal muscle and cardiac tissue. Thus, ARC represents an inhibitor of apoptosis expressed in muscle that appears to selectively target caspases. Delivery of ARC by gene transfer or enhancement of its endogenous activity may provide a strategy for the treatment of diseases that are characterized by inappropriately increased cell death in muscle tissue.

The rodent hippocampus is a spatially organized neuronal network that supports the formation of spatial and episodic memories. We conducted bulk RNA sequencing and spatial transcriptomics experiments to measure gene expression changes in the dorsal hippocampus following the recall of active place avoidance (APA) memory. Through bulk RNA sequencing, we examined the gene expression changes following memory recall across the functionally distinct subregions of the dorsal hippocampus. We found that recall induced differentially expressed genes (DEGs) in the CA1 and CA3 hippocampal subregions were enriched with genes involved in synaptic transmission and synaptic plasticity, while DEGs in the dentate gyrus (DG) were enriched with genes involved in energy balance and ribosomal function. Through spatial transcriptomics, we examined gene expression changes following memory recall across an array of spots encompassing putative memory-associated neuronal ensembles marked by the expression of the IEGs Arc, Egr1, and c-Jun. Within samples from both trained and untrained mice, the subpopulations of spatial transcriptomic spots marked by these IEGs were transcriptomically and spatially distinct from one another. DEGs detected between Arc + and Arc− spots exclusively in the trained mouse were enriched in several memory-related gene ontology terms, including “regulation of synaptic plasticity” and “memory.” Our results suggest that APA memory recall is supported by regionalized transcriptomic profiles separating the CA1 and CA3 from the DG, transcriptionally and spatially distinct IEG expressing spatial transcriptomic spots, and biological processes related to synaptic plasticity as a defining the difference between Arc + and Arc− spatial transcriptomic spots.

Abstract: Geochemical composition of subducting sediments as bulk input flux to trenches. Data is integrated and averaged over large sections of the seafloor from subduction areas, linking sediment input with arc volcanic output.

                  Other Description: Plank, T. (2014) The chemical composition of subducting sediments. Chapter 4.17 Treatise on Geochemistry, second edition. Editors-in-Chief: Heinrich Holland and Karl Turekian. Editor for Volume 4, The Crust: Roberta Rudnick.

This data set was prepared by BORIS staff by reformatting the original data into the ARC/INFO Generate format. The original data were received in SIF at a scale of 1:50,000. BORIS staff could not find a format document or commercial software for reading SIF; the BOREAS HYD-08 team provided some C source code that could read some of the SIF files. The data cover the BOREAS NSA and SSA. The original data were compiled from information available in the 1970s and 1980s.

Fitogal S L U Pol Ind El Carrascot C De L Arc Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

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Abstract: This dataset presents analyses of major and trace element concentrations for the core samples from the site U1437 IODP Exp.350. IODP Site U1437 is located in the Izu rear-arc region, approximately 330 km west of the Izu-Bonin trench axis. The oldest four units (Units IV through Unit VII) include volcaniclastic sediment and in-situ hyaloclastites. They have ages of about 6–15 Ma, shortly after cessation of Shikoku backarc basin opening.

                  Other Description: Miyazaki, T., Gill, J. B., Hamelin, C., DeBari, S. M., Sato, T., Tamura, Y., Kimura, J. -I., Vaglarov, B. S., Chang, Q., Senda, R., and Haraguchi, S., The First 10 Million Years of Rear-Arc Magmas Following Backarc Basin Formation Behind the Izu Arc, Geochemistry, Geophysics, Geosystems