yashpalsharma/UserStoryToTestCaseConverter

---
language:
- en
license: openrail
size_categories:
- n<1K
task_categories:
- question-answering
- text-generation
pretty_name: UserStoryToTestScenario
tags:
- software-testing
dataset_info:
features:
- name: Prompts
dtype: string
- name: updated_result
dtype: string
splits:
- name: train
num_bytes: 100738
num_examples: 75
download_size: 15144
dataset_size: 100738
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->

This dataset is a User Story to Test Scenario converter which receives the User Story one-liner description as the input and produces the possible positive and negative scenarios as output in the Gherkin language (as in the Behavior Driven Development framework).

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->
This dataset has been generated using the inferences from Gemma 2b model.

- **Curated by:** Yashpal Sharma Nagaraja Rao
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** English(en)
- **License:** OpenRAIL License family

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

[More Information Needed]

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

[More Information Needed]

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

[More Information Needed]

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

[More Information Needed]

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

[More Information Needed]

#### Who are the source data producers?

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[More Information Needed]

### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### Annotation process

<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->

[More Information Needed]

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

[More Information Needed]

#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

[More Information Needed]

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

[More Information Needed]

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

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**APA:**

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## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

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## More Information [optional]

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## Dataset Card Authors [optional]

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## Dataset Card Contact

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原始信息汇总

数据集概述

名称: UserStoryToTestScenario

语言: 英语(en)

许可证: OpenRAIL License family

大小分类: 小于1K

任务分类:

• 问答
• 文本生成

标签:

• 软件测试

数据集特征

• Prompts
  • 数据类型: 字符串
• updated_result
  • 数据类型: 字符串

数据集分割

• 训练集
  • 字节数: 100738
  • 示例数: 75
  • 下载大小: 15144
  • 数据集大小: 100738

配置

• 默认配置
  • 数据文件路径: data/train-*

数据集描述

该数据集是一个用户故事到测试场景的转换器，接收用户故事的一行描述作为输入，并生成可能的正面和负面场景作为输出，使用Gherkin语言（行为驱动开发框架）。数据集由Gemma 2b模型生成。