遇见数据集

autoevaluate/autoeval-staging-eval-project-adversarial_qa-e34332b7-12205626

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Hugging Face2022-08-02 更新2024-03-04 收录
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资源简介:

--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: deepset/roberta-base-squad2-distilled metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: context question: question answers-text: answers.text answers-answer_start: answers.answer_start --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Question Answering * Model: deepset/roberta-base-squad2-distilled * Dataset: adversarial_qa * Config: adversarialQA * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@ceyda](https://huggingface.co/ceyda) for evaluating this model.

--- 类型:预测结果 标签: - AutoTrain(autotrain) - 评估 数据集: - 对抗性问答数据集(adversarial_qa) 评估信息: 任务:抽取式问答(extractive question answering) 模型:deepset/roberta-base-squad2-distilled 指标:无 数据集名称:对抗性问答数据集(adversarial_qa) 数据集配置:adversarialQA 数据集划分:验证集(validation) 列映射: 上下文:context 问题:question 答案文本:answers.text 答案起始位置:answers.answer_start --- # AutoTrain评估器数据集卡片 本仓库包含由[AutoTrain](https://huggingface.co/autotrain)为以下任务与数据集生成的模型预测结果: * 任务:问答任务 * 模型:deepset/roberta-base-squad2-distilled * 数据集:对抗性问答数据集(adversarial_qa) * 配置:adversarialQA * 划分:验证集(validation) 若需运行新的评估任务,请访问Hugging Face的[自动模型评估器](https://huggingface.co/spaces/autoevaluate/model-evaluator)。 ## 贡献 感谢[@ceyda](https://huggingface.co/ceyda)对本模型进行评估。

提供机构:
autoevaluate
原始信息汇总

数据集概述

数据集信息

  • 类型: 预测数据集
  • 标签:
    • autotrain
    • evaluation
  • 数据集名称: adversarial_qa
  • 数据集配置: adversarialQA
  • 数据集分割: validation

评估信息

  • 任务: 抽取式问答
  • 模型: deepset/roberta-base-squad2-distilled
  • 列映射:
    • 上下文: context
    • 问题: question
    • 答案文本: answers.text
    • 答案起始位置: answers.answer_start
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