autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-767bec-38719101848

---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- adversarial_qa
eval_info:
task: extractive_question_answering
model: 96harsh56/bert_test1
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: 96harsh56/bert_test1
* 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 [@endoftheworld](https://huggingface.co/endoftheworld) for evaluating this model.

类型：预测结果
标签：
- AutoTrain
- 评估
数据集：
- 对抗问答（adversarial_qa）
评估信息：
任务：抽取式问答（extractive_question_answering）
模型：96harsh56/bert_test1
评估指标：无
数据集名称：adversarial_qa（对抗问答）
数据集配置：adversarialQA
数据集划分：验证集
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)针对以下任务与数据集生成的模型预测结果：
* 任务：问答
* 模型：96harsh56/bert_test1
* 数据集：adversarial_qa（对抗问答）
* 配置：adversarialQA
* 划分：验证集

如需发起新的评估任务，请访问Hugging Face的[自动模型评估器](https://huggingface.co/spaces/autoevaluate/model-evaluator)。

## 贡献致谢

感谢[@endoftheworld](https://huggingface.co/endoftheworld)为本模型完成评估。

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: 96harsh56/bert_test1
• 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