autoevaluate/autoeval-eval-squad_v2-squad_v2-8571ec-1652758614
收藏Hugging Face2022-10-04 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/autoevaluate/autoeval-eval-squad_v2-squad_v2-8571ec-1652758614
下载链接
链接失效反馈官方服务:
资源简介:
---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- squad_v2
eval_info:
task: extractive_question_answering
model: Palak/microsoft_deberta-base_squad
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: Palak/microsoft_deberta-base_squad
* 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: Palak/microsoft_deberta-base_squad
metrics: 无
dataset_name: SQuAD v2
dataset_config: SQuAD v2
dataset_split: 验证集
col_mapping:
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:Palak/microsoft_deberta-base_squad
* 数据集:SQuAD v2
* 配置:SQuAD v2
* 划分:验证集
如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 [@lewtun](https://huggingface.co/lewtun) 对该模型完成评估。
提供机构:
autoevaluate原始信息汇总
数据集概述
数据集类型
- 类型: 预测数据集
标签
- 自动训练
- 评估
数据集详情
- 名称: squad_v2
- 配置: squad_v2
- 分割: 验证集
评估信息
- 任务: 抽取式问答
- 模型: Palak/microsoft_deberta-base_squad
- 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



