54 datasets found
  1. P

    ARC (AI2 Reasoning Challenge) Dataset

    • paperswithcode.com
    • opendatalab.com
    Updated Jun 9, 2024
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    Peter Clark; Isaac Cowhey; Oren Etzioni; Tushar Khot; Ashish Sabharwal; Carissa Schoenick; Oyvind Tafjord (2024). ARC (AI2 Reasoning Challenge) Dataset [Dataset]. https://paperswithcode.com/dataset/arc
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    Dataset updated
    Jun 9, 2024
    Authors
    Peter Clark; Isaac Cowhey; Oren Etzioni; Tushar Khot; Ashish Sabharwal; Carissa Schoenick; Oyvind Tafjord
    Description

    The AI2’s Reasoning Challenge (ARC) dataset is a multiple-choice question-answering dataset, containing questions from science exams from grade 3 to grade 9. The dataset is split in two partitions: Easy and Challenge, where the latter partition contains the more difficult questions that require reasoning. Most of the questions have 4 answer choices, with <1% of all the questions having either 3 or 5 answer choices. ARC includes a supporting KB of 14.3M unstructured text passages.

  2. ai2_arc

    • huggingface.co
    • tensorflow.org
    • +1more
    Updated Jan 17, 2024
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    Ai2 (2024). ai2_arc [Dataset]. https://huggingface.co/datasets/allenai/ai2_arc
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 17, 2024
    Dataset provided by
    Allen Institute for AIhttp://allenai.org/
    Authors
    Ai2
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    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.

  3. h

    ARC-C-fi-HT

    • huggingface.co
    Updated Jun 13, 2025
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    SiloGen (2025). ARC-C-fi-HT [Dataset]. https://huggingface.co/datasets/silogen/ARC-C-fi-HT
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    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    SiloGen
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    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.

  4. ARC Code TI: Growler

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Apr 11, 2025
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    Ames Research Center (2025). ARC Code TI: Growler [Dataset]. https://catalog.data.gov/dataset/arc-code-ti-growler
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    Ames Research Centerhttps://nasa.gov/ames/
    Description

    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.

  5. MD simulation of the Arc C-terminal domain, T278E mutant

    • zenodo.org
    Updated May 6, 2021
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    Sigurbjörn Markússon; Sigurbjörn Markússon; Petri Kursula; Petri Kursula (2021). MD simulation of the Arc C-terminal domain, T278E mutant [Dataset]. http://doi.org/10.5281/zenodo.4734132
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    Dataset updated
    May 6, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Sigurbjörn Markússon; Sigurbjörn Markússon; Petri Kursula; Petri Kursula
    Description

    200-ns simulation using GROMACS. The starting structure is a phosphorylation-mimicking T278E structure based on the crystal structure of wild-type Arc.

  6. e

    Arc C-lobe

    • ebi.ac.uk
    Updated Jan 21, 2024
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    (2024). Arc C-lobe [Dataset]. https://www.ebi.ac.uk/interpro/entry/pfam/PF18162
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    Dataset updated
    Jan 21, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is the C-terminal domain of Arc protein present in found in Rattus norvegicus. The Arc protein modulates the trafficking of AMPA-type glutamate receptors. This domain's tertiary structure is similar to the capsid domain of HIV gag protein. The domain is thought to have evolved from the capsid domain of Ty3/Gypsy retrotransposon .

  7. ARC Code TI: Geometry Manipulation Protocol (GMP)

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Apr 10, 2025
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    Ames Research Center (2025). ARC Code TI: Geometry Manipulation Protocol (GMP) [Dataset]. https://catalog.data.gov/dataset/arc-code-ti-geometry-manipulation-protocol-gmp
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    Dataset updated
    Apr 10, 2025
    Dataset provided by
    Ames Research Centerhttps://nasa.gov/ames/
    Description

    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.

  8. h

    finbenchv2-arc-c-fi-ht

    • huggingface.co
    Updated Jun 13, 2025
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    TurkuNLP Research Group (2025). finbenchv2-arc-c-fi-ht [Dataset]. https://huggingface.co/datasets/TurkuNLP/finbenchv2-arc-c-fi-ht
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    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    TurkuNLP Research Group
    Description

    Archived version of silogen/ARC-C-fi-HT used in Finbench version 2.

  9. f

    Annual temperature amplitude (°C) - GAEZ v4 (Global - 5 arc-minutes)

    • data.apps.fao.org
    Updated Jul 5, 2024
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    (2024). Annual temperature amplitude (°C) - GAEZ v4 (Global - 5 arc-minutes) [Dataset]. https://data.apps.fao.org/map/catalog/srv/resources/datasets/339464ef-d944-4770-8a88-67b8321a2a2d
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    Dataset updated
    Jul 5, 2024
    Description

    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.

  10. d

    Compilation of C isotopes, CO2 concentration and forg of subducting...

    • search.dataone.org
    Updated Jan 18, 2021
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    Eguchi, James; Seales, Johnny; Dasgupta, Rajdeep (2021). Compilation of C isotopes, CO2 concentration and forg of subducting sediments at global arcs [Dataset]. http://doi.org/10.1594/IEDA/111406
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    Dataset updated
    Jan 18, 2021
    Dataset provided by
    EarthChem Library
    Authors
    Eguchi, James; Seales, Johnny; Dasgupta, Rajdeep
    Description

    Abstract: 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.

                      Other Description: Eguchi, J., Seales, J., Dasgupta, R., (2019), "Great Oxidation and Lomagundi Events linked by deep cycling and enhanced degassing of carbon".
    
  11. d

    Shuttle Radar Topography Mission 1 Arc-Second Digital Terrain Elevation Data...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Shuttle Radar Topography Mission 1 Arc-Second Digital Terrain Elevation Data - Global - National Geospatial Data Asset (NGDA) [Dataset]. https://catalog.data.gov/dataset/shuttle-radar-topography-mission-1-arc-second-digital-terrain-elevation-data-global-nation
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Description

    The Shuttle Radar Topography Mission (SRTM) was a partnership between NASA and the National Geospatial-Intelligence Agency (NGA). Flown aboard the NASA Space Shuttle Endeavour (11-22 February 2000), SRTM fulfilled its mission to map the world in three dimensions. The USGS is under agreement with NGA and NASA's Jet Propulsion Laboratory to distribute SRTM elevation products derived from the C-band radar data. SRTM utilized interferometric C-band Spaceborne Imaging Radar to generate elevation data over 80 percent of the Earth's land surface. Global SRTM data at a resolution of 1 arc-second have been edited to delineate and flatten water bodies, better define coastlines, remove spikes and wells, and fill small voids. Larger areas of missing data or voids were filled by the NGA using interpolation algorithms in conjunction with other sources of elevation data. The SRTM 1 Arc-Second Global data offer worldwide coverage of void filled data at a resolution of 1 arc-second (30 meters) and provide open distribution of this high-resolution global data set.

  12. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    zip
    Updated Aug 24, 2018
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    U.S. Geological Survey, National Geospatial Technical Operations Center (2018). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ad6648769a9a456391bc2e813bed5327/html
    Explore at:
    zipAvailable download formats
    Dataset updated
    Aug 24, 2018
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  13. h

    telugu-arc-c-2.5k

    • huggingface.co
    Updated Feb 14, 2025
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    IndicBenchmarkData (2025). telugu-arc-c-2.5k [Dataset]. https://huggingface.co/datasets/Indic-Benchmark/telugu-arc-c-2.5k
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    IndicBenchmarkData
    Description

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

  14. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    zip
    Updated Feb 15, 2018
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    U.S. Geological Survey, National Geospatial Technical Operations Center (2018). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/e861b8fd851c4aa6bb9de71f5d2d62cf/html
    Explore at:
    zipAvailable download formats
    Dataset updated
    Feb 15, 2018
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  15. New metro designs c/o arc enterprises USA Import & Buyer Data

    • seair.co.in
    Updated Apr 28, 2017
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    Seair Exim (2017). New metro designs c/o arc enterprises USA Import & Buyer Data [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Apr 28, 2017
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  16. ARC Code TI: X-Plane Communications Toolbox (XPC)

    • catalog.data.gov
    • s.cnmilf.com
    • +3more
    Updated Apr 11, 2025
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    Ames Research Center (2025). ARC Code TI: X-Plane Communications Toolbox (XPC) [Dataset]. https://catalog.data.gov/dataset/arc-code-ti-x-plane-communications-toolbox-xpc
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    Ames Research Centerhttps://nasa.gov/ames/
    Description

    The X-Plane Communications Toolbox (XPC) is an open source research tool used to interact with the commercial flight simulator software X-Plane. XPC allows users to control aircraft and receive state information from aircraft simulated in X-Plane using functions written in C or MATLAB in real time over the network. This research tool has been used to visualize flight paths, test control algorithms, simulate an active airspace, or generate out-the-window visuals for in-house flight simulation software.

  17. Data from: Uniform processes of melt differentiation in the central Izu...

    • geolsoc.figshare.com
    rtf
    Updated Jun 4, 2023
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    Susanne M. Straub (2023). Uniform processes of melt differentiation in the central Izu Bonin volcanic arc (NW Pacific) [Dataset]. http://doi.org/10.6084/m9.figshare.3454556.v1
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    rtfAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Geological Society of Londonhttp://www.geolsoc.org.uk/
    Authors
    Susanne M. Straub
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The intra-oceanic Izu Bonin arc (NW Pacific) has produced a bimodal spectrum of melts with maxima in the basaltic andesitic (c. 53–54 wt% SiO2) and rhyolitic range (c. 70–72 wt% SiO2) since arc inception c. 48–49 million years ago. Composition of phenocrysts and accessory minerals from 21 contemporaneous fallout tephras from ODP Site 782A confirm the bimodality and uniformity of the erupted melts. The basaltic andesite melts equilibrated with calcic plagioclase (c. An70–95), high-Mg# clino- and orthopyroxene and low-Ti titanomagnetite. Dacitic and rhyolitic melts crystallized sodic plagioclase (c. An40–60), low-Mg# clino- and orthopyroxene, apatite, Ti-rich titanomagnetite in addition to occasional ilmenite and amphibole. The Izu melts are inferred to crystallize at oxygen fugacities between c. 0 to +2.5 log10 units relative to FMQ, at temperatures between c. 775° and 1100 °C and at pressures between c. 300 and c. 1100 MPa, corresponding to c. 5–35 km lithospheric depth. The compositional uniformity of the tephra layers, which are spaced on average 230 ± 380 ka apart, suggest uniform processes of differentiation since at least c. 42 Ma ago. The tephra record shows no indication of periodic or progressive crustal growth that might correlate with the alternate periods of arc formation, arc rifting or backarc spreading, or would suggest an increasingly efficient ‘crustal filter’ with time. The tephra data tentatively conform to a model where crust grows steadily through intrusions of mafic and evolved melt body batches whereby buoyancy controls the level of solidification. While the tephra compositions demonstrate the uniformity of the processes of melt formation and differentiation through time, the data do not permit the differentiation processes themselves to be constrained. These may comprise fractional crystallization, crustal fusion, fusion of non-peridotitic sub-crustal lithologies, or any combination of these processes.

  18. t

    VESTURE CYRUS NINETY C. ZG BYER ARC TEXTILES KELLWOOD SWATFAME SOPHIA C....

    • tradeindata.com
    Updated Aug 17, 2022
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    tradeindata (2022). VESTURE CYRUS NINETY C. ZG BYER ARC TEXTILES KELLWOOD SWATFAME SOPHIA C. BUENO|Full export Customs Data Records|tradeindata [Dataset]. https://www.tradeindata.com/supplier_detail/?id=2b0612c715576680d2fa83dbee553e86
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    Dataset updated
    Aug 17, 2022
    Dataset authored and provided by
    tradeindata
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Customs records of are available for VESTURE CYRUS NINETY C. ZG BYER ARC TEXTILES KELLWOOD SWATFAME SOPHIA C. BUENO. Learn about its Importer, supply capabilities and the countries to which it supplies goods

  19. The Best of L Arc-en-Ciel C/W

    • wikimedia.az-az.nina.az
    Updated Jun 2, 2025
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    www.wikimedia.az-az.nina.az (2025). The Best of L Arc-en-Ciel C/W [Dataset]. https://www.wikimedia.az-az.nina.az/The_Best_of_L'Arc-en-Ciel_C/W.html
    Explore at:
    Dataset updated
    Jun 2, 2025
    Dataset provided by
    Vikimedia Fonduhttp://www.wikimedia.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Best of L Arc en Ciel C W L Arc en Ciel qrupunun kompilyasiya albomudur The Best of L Arc en Ciel C W L Arc en Ciel

  20. d

    R/V SONNE Cruise SO255 "VITIAZ": An integrated major element, trace element...

    • search.dataone.org
    • ecl.earthchem.org
    Updated Jan 18, 2021
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    Hauff, Folkmar; Hoernle, Kaj; Gill, Jim; Werner, Reinhard; Timm, Christian; Garbe-Schönberg, Dieter; Gutjahr, Marcus; Jung, Stafan (2021). R/V SONNE Cruise SO255 "VITIAZ": An integrated major element, trace element and Sr-Nd-Pb-Hf isotope data set of volcanic rocks from the Colville and Kermadec Ridges, the Quaternary Kermadec volcanic front and the Havre Trough backarc basin [Dataset]. http://doi.org/10.26022/IEDA/111723
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    Dataset updated
    Jan 18, 2021
    Dataset provided by
    EarthChem Library
    Authors
    Hauff, Folkmar; Hoernle, Kaj; Gill, Jim; Werner, Reinhard; Timm, Christian; Garbe-Schönberg, Dieter; Gutjahr, Marcus; Jung, Stafan
    Area covered
    Kermadec Islands
    Description

    Abstract: Cruise SO255 of the German Research Vessel SONNE surveyed the Kermadec Arc System from ca 35°S to 28°S in 2017. Volcanic rocks were obtained by dredge from the Neogene Colville and Kermadec ridges that represent the split remnants of the preceding Vitiaz Arc, the Havre Trough backarc and Quaternary volcanic centers of the Kermadec Arc. The overarching goal of SO255 "VITIAZ" is to elucidate the physical and chemical conditions that control the development of subduction zones, including evolution of mature arc systems, and the transition from arc splitting to back-arc basin generation. The correlated dataset reports major element data for 317 samples, trace element data for 285 samples, radiogenic Sr-Nd-Pb isotope ratios for 155 samples and radiogenic Hf isotope ratios for 88 samples. These include eight topic related samples of cruises TAN0206, TAN1611 of the New Zealand research vessel TANGAROA and one sample of cruise B30 of the Russian research vessel VOLCANOLOG.

                      Other Description: Timm, C., de Ronde, C. E. J., Hoernle, K., Cousens, B., Wartho, J. A., Tontini, F. Caratori, Wysoczanski, R., Hauff, F., Handler, M. (2019): New Age and Geochemical Data from the Southern Colville and Kermadec Ridges, SW Pacific: Insights into the recent geological history and petrogenesis of the Proto-Kermadec (Vitiaz) Arc. Gondwana Research 72, 169-193, https://doi.org/10.1016/j.gr.2019.02.008
    

    Hoernle K., Timm C., Gill J., Hauff F., Werner R., Garbe-Schönberg D., Gutjahr M. (in revision): Tracing Hikurangi Plateau subduction in Neogene Kermadec and Colville remnant arc ridges. Geology

    Gill J., Hoernle K., Todd E., Hauff F., Werner R , Timm C , Garbe-Schönberg D., Gutjahr M. (in revision): Basalt geochemistry and mantle flow during early backarc basin evolution: Havre Trough and Kermadec Arc, southwest Pacific. Geochemistry Geophysics Geosystems

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Peter Clark; Isaac Cowhey; Oren Etzioni; Tushar Khot; Ashish Sabharwal; Carissa Schoenick; Oyvind Tafjord (2024). ARC (AI2 Reasoning Challenge) Dataset [Dataset]. https://paperswithcode.com/dataset/arc

ARC (AI2 Reasoning Challenge) Dataset

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52 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 9, 2024
Authors
Peter Clark; Isaac Cowhey; Oren Etzioni; Tushar Khot; Ashish Sabharwal; Carissa Schoenick; Oyvind Tafjord
Description

The AI2’s Reasoning Challenge (ARC) dataset is a multiple-choice question-answering dataset, containing questions from science exams from grade 3 to grade 9. The dataset is split in two partitions: Easy and Challenge, where the latter partition contains the more difficult questions that require reasoning. Most of the questions have 4 answer choices, with <1% of all the questions having either 3 or 5 answer choices. ARC includes a supporting KB of 14.3M unstructured text passages.

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