autoevaluate/autoeval-staging-eval-project-squad_v2-94d8b010-11595542
收藏资源简介：
--- type: predictions tags: - autotrain - evaluation datasets: - squad_v2 eval_info: task: extractive_question_answering model: autoevaluate/extractive-question-answering metrics: [] dataset_name: squad_v2 dataset_config: squad_v2 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: autoevaluate/extractive-question-answering * Dataset: squad_v2 * Config: squad_v2 * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
--- type: 预测结果 tags: - AutoTrain - 评估 datasets: - SQuAD v2 eval_info: task: 抽取式问答（extractive question answering） model: autoevaluate/extractive-question-answering metrics: [] dataset_name: SQuAD v2 dataset_config: SQuAD v2 dataset_split: 验证集 col_mapping: context: context question: question answers-text: answers.text answers-answer_start: answers.answer_start --- # AutoTrain评估器数据集卡片 本仓库包含由[AutoTrain（AutoTrain）](https://huggingface.co/autotrain)生成的针对下述任务与数据集的模型预测结果： * 任务：抽取式问答（extractive question answering） * 模型：autoevaluate/extractive-question-answering * 数据集：SQuAD v2 * 配置：SQuAD v2 * 划分：验证集 若需运行新的评估任务，请访问Hugging Face的[自动模型评估器（automatic model evaluator）](https://huggingface.co/spaces/autoevaluate/model-evaluator)。 ## 贡献声明 感谢[@lewtun](https://huggingface.co/lewtun)对本模型进行评估。
数据集概述
数据集类型
- 类型: 预测结果
标签
- 自动训练
- 评估
数据集信息
- 数据集名称: squad_v2
- 数据集配置: squad_v2
- 数据集分割: 验证集
评估信息
- 任务: 抽取式问答
- 模型: autoevaluate/extractive-question-answering
- 数据集分割: 验证集
- 列映射:
- 上下文: context
- 问题: question
- 答案文本: answers.text
- 答案开始位置: answers.answer_start
