autoevaluate/autoeval-eval-inverse-scaling__NeQA-inverse-scaling__NeQA-1e740e-1694759585
收藏Hugging Face2022-10-08 更新2024-03-04 收录
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https://hf-mirror.com/datasets/autoevaluate/autoeval-eval-inverse-scaling__NeQA-inverse-scaling__NeQA-1e740e-1694759585
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资源简介:
---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- inverse-scaling/NeQA
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-2.7b_eval
metrics: []
dataset_name: inverse-scaling/NeQA
dataset_config: inverse-scaling--NeQA
dataset_split: train
col_mapping:
text: prompt
classes: classes
target: answer_index
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: inverse-scaling/NeQA
* Config: inverse-scaling--NeQA
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@MicPie](https://huggingface.co/MicPie) for evaluating this model.
类型:预测结果
标签:
- 自动训练(AutoTrain)
- 评估
数据集:
- inverse-scaling/NeQA
评估信息:
任务:零样本文本分类(text_zero_shot_classification)
模型:inverse-scaling/opt-2.7b_eval
评估指标:无
数据集名称:inverse-scaling/NeQA
数据集配置:inverse-scaling--NeQA
数据集划分:训练集
列映射:
text列对应prompt
classes列对应classes
target列对应answer_index
---
# AutoTrain 评估器数据集卡片
本仓库包含由[自动训练(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:零样本文本分类
* 模型:inverse-scaling/opt-2.7b_eval
* 数据集:inverse-scaling/NeQA
* 配置:inverse-scaling--NeQA
* 划分:训练集
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)。
## 贡献者致谢
感谢[@MicPie](https://huggingface.co/MicPie)对该模型进行评估。
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: inverse-scaling/NeQA
- 数据集配置: inverse-scaling--NeQA
- 数据集分割: train
评估信息
- 任务: 文本零样本分类
- 模型: inverse-scaling/opt-2.7b_eval
- 列映射:
- 文本: prompt
- 类别: classes
- 目标: answer_index



