8 datasets found
  1. P

    StrategyQA Dataset

    • paperswithcode.com
    Updated Jun 8, 2022
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    Mor Geva; Daniel Khashabi; Elad Segal; Tushar Khot; Dan Roth; Jonathan Berant (2022). StrategyQA Dataset [Dataset]. https://paperswithcode.com/dataset/strategyqa
    Explore at:
    Dataset updated
    Jun 8, 2022
    Authors
    Mor Geva; Daniel Khashabi; Elad Segal; Tushar Khot; Dan Roth; Jonathan Berant
    Description

    StrategyQA is a question answering benchmark where the required reasoning steps are implicit in the question, and should be inferred using a strategy. It includes 2,780 examples, each consisting of a strategy question, its decomposition, and evidence paragraphs. Questions in StrategyQA are short, topic-diverse, and cover a wide range of strategies.

  2. h

    Ko-StrategyQA

    • huggingface.co
    Updated Jan 24, 2024
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    Taemin Lee (2024). Ko-StrategyQA [Dataset]. https://huggingface.co/datasets/taeminlee/Ko-StrategyQA
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    Dataset updated
    Jan 24, 2024
    Authors
    Taemin Lee
    Description

    Ko-StrategyQA

    This dataset represents a conversion of the Ko-StrategyQA dataset into the BeIR format, making it compatible for use with mteb. The original dataset was designed for multi-hop QA, so we processed the data accordingly. First, we grouped the evidence documents tagged by annotators into sets, and excluded unit questions containing 'no_evidence' or 'operation'.

  3. h

    StrategyQA

    • huggingface.co
    Updated Aug 31, 2024
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    Nick Ferguson (2024). StrategyQA [Dataset]. https://huggingface.co/datasets/njf/StrategyQA
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 31, 2024
    Authors
    Nick Ferguson
    Description

    njf/StrategyQA dataset hosted on Hugging Face and contributed by the HF Datasets community

  4. h

    strategyqa

    • huggingface.co
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    Tianjian Li, strategyqa [Dataset]. https://huggingface.co/datasets/dogtooth/strategyqa
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    Tianjian Li
    Description

    dogtooth/strategyqa dataset hosted on Hugging Face and contributed by the HF Datasets community

  5. strategyqa_dataset-for-thesis

    • kaggle.com
    Updated Oct 16, 2023
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    Mahbubur Rahman (2023). strategyqa_dataset-for-thesis [Dataset]. https://www.kaggle.com/datasets/mahbuburrahman2020/strategyqa-dataset-for-thesis/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 16, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Mahbubur Rahman
    Description

    Dataset

    This dataset was created by Mahbubur Rahman

    Contents

  6. h

    CL-LT-KGQA

    • huggingface.co
    Updated Apr 28, 2024
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    Yuan Sui (2024). CL-LT-KGQA [Dataset]. https://huggingface.co/datasets/yuansui/CL-LT-KGQA
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 28, 2024
    Authors
    Yuan Sui
    Description

    CR-LT-KGQA is the first Knowledge Graph Query Answering dataset with Natural Language queries targeted on long-tail Wikidata entities, answering which requires commonsense reasoning and is submitted to SIGIR'24. CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge The dataset contains two subsets targetting two different tasks: (i) Question Answering subset containing 200 questions based on StrategyQA dataset and (ii) Claim… See the full description on the dataset page: https://huggingface.co/datasets/yuansui/CL-LT-KGQA.

  7. h

    Ko-StrategyQA

    • huggingface.co
    Updated Jan 24, 2024
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    Massive Text Embedding Benchmark (2024). Ko-StrategyQA [Dataset]. https://huggingface.co/datasets/mteb/Ko-StrategyQA
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    Dataset updated
    Jan 24, 2024
    Dataset authored and provided by
    Massive Text Embedding Benchmark
    Description

    Ko-StrategyQA An MTEB dataset Massive Text Embedding Benchmark

    Ko-StrategyQA

    Task category t2t

    Domains None

    Reference

      How to evaluate on this task
    

    You can evaluate an embedding model on this dataset using the following code: import mteb

    task = mteb.get_tasks(["Ko-StrategyQA"]) evaluator = mteb.MTEB(task)

    model = mteb.get_model(YOUR_MODEL) evaluator.run(model)

    To learn more about how to run models on mteb task check out the GitHub repitory.… See the full description on the dataset page: https://huggingface.co/datasets/mteb/Ko-StrategyQA.

  8. h

    ko-strategy-qa

    • huggingface.co
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    hyeongchan kim, ko-strategy-qa [Dataset]. https://huggingface.co/datasets/kozistr/ko-strategy-qa
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    hyeongchan kim
    Description

    kozistr/ko-strategy-qa dataset hosted on Hugging Face and contributed by the HF Datasets community

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Share
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Email
Click to copy link
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Close
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Mor Geva; Daniel Khashabi; Elad Segal; Tushar Khot; Dan Roth; Jonathan Berant (2022). StrategyQA Dataset [Dataset]. https://paperswithcode.com/dataset/strategyqa

StrategyQA Dataset

Explore at:
Dataset updated
Jun 8, 2022
Authors
Mor Geva; Daniel Khashabi; Elad Segal; Tushar Khot; Dan Roth; Jonathan Berant
Description

StrategyQA is a question answering benchmark where the required reasoning steps are implicit in the question, and should be inferred using a strategy. It includes 2,780 examples, each consisting of a strategy question, its decomposition, and evidence paragraphs. Questions in StrategyQA are short, topic-diverse, and cover a wide range of strategies.

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