# Dataset Card for "github-issues_huggingface-datasets"
**Dataset Name**: *GitHub Issues from Hugging Face Datasets*

**Description**:
The "github-issues_huggingface-datasets" dataset is a corpus of GitHub issues extracted from the Hugging Face Datasets repository. It includes valuable information and metadata related to the issues, such as titles, descriptions, labels, states, comments, and whether they are pull requests. The dataset was compiled using the GitHub REST API, which enabled the retrieval of issues and their corresponding comments. Additionally, a new column was added to indicate whether an issue is a pull request.

**Dataset Contents**:
The dataset consists of two splits:
1. Train Split: Contains 4,863 records, each with features like URL, repository URL, labels URL, comments URL, HTML URL, ID, node ID, issue number, Title, labels, state, locked status, milestone, comments, creation date, update date, closing date, reactions, timeline URL, and more.
2. Test Split: Comprises 1,216 records with the same features as the train split.

**Potential Uses**:
This dataset is valuable for various purposes, such as:
* Semantic search: Analyzing and retrieving issues based on semantic similarity.
* Multilabel classification: Classifying issues into multiple categories based on their labels.
* Exploratory analysis: Gaining insights into the trends and patterns within GitHub issues.

**Limitations and Risks**:
Users of this dataset should be aware of potential limitations, such as data incompleteness, bias in issue labeling, or outdated information. Additionally, data privacy and ethical considerations should be taken into account when using GitHub issues data.

**Access**:
The dataset is openly accessible to anyone interested in using it for research, analysis, or any other suitable applications. The dataset is publicly available for download and usage.

**Note**:
Certain user-specific features, such as "user", "author_association", "assignee" and "assignees" have been excluded from the dataset to protect individual privacy and mitigate the risk of identifying users or contributors.

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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TAGS
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# Dataset Card for "github-issues_huggingface-datasets"
Dataset Name: *GitHub Issues from Hugging Face Datasets*

Description:
The "github-issues_huggingface-datasets" dataset is a corpus of GitHub issues extracted from the Hugging Face Datasets repository. It includes valuable information and metadata related to the issues, such as titles, descriptions, labels, states, comments, and whether they are pull requests. The dataset was compiled using the GitHub REST API, which enabled the retrieval of issues and their corresponding comments. Additionally, a new column was added to indicate whether an issue is a pull request.

Dataset Contents:
The dataset consists of two splits:
1. Train Split: Contains 4,863 records, each with features like URL, repository URL, labels URL, comments URL, HTML URL, ID, node ID, issue number, Title, labels, state, locked status, milestone, comments, creation date, update date, closing date, reactions, timeline URL, and more.
2. Test Split: Comprises 1,216 records with the same features as the train split.

Potential Uses:
This dataset is valuable for various purposes, such as:
* Semantic search: Analyzing and retrieving issues based on semantic similarity.
* Multilabel classification: Classifying issues into multiple categories based on their labels.
* Exploratory analysis: Gaining insights into the trends and patterns within GitHub issues.

Limitations and Risks:
Users of this dataset should be aware of potential limitations, such as data incompleteness, bias in issue labeling, or outdated information. Additionally, data privacy and ethical considerations should be taken into account when using GitHub issues data.

Access:
The dataset is openly accessible to anyone interested in using it for research, analysis, or any other suitable applications. The dataset is publicly available for download and usage.

Note:
Certain user-specific features, such as "user", "author_association", "assignee" and "assignees" have been excluded from the dataset to protect individual privacy and mitigate the risk of identifying users or contributors.

More Information needed
# Dataset Card for "github-issues_huggingface-datasets"
Dataset Name: *GitHub Issues from Hugging Face Datasets*

Description:
The "github-issues_huggingface-datasets" dataset is a corpus of GitHub issues extracted from the Hugging Face Datasets repository. It includes valuable information and metadata related to the issues, such as titles, descriptions, labels, states, comments, and whether they are pull requests. The dataset was compiled using the GitHub REST API, which enabled the retrieval of issues and their corresponding comments. Additionally, a new column was added to indicate whether an issue is a pull request.

Dataset Contents:
The dataset consists of two splits:
1. Train Split: Contains 4,863 records, each with features like URL, repository URL, labels URL, comments URL, HTML URL, ID, node ID, issue number, Title, labels, state, locked status, milestone, comments, creation date, update date, closing date, reactions, timeline URL, and more.
2. Test Split: Comprises 1,216 records with the same features as the train split.

Potential Uses:
This dataset is valuable for various purposes, such as:
* Semantic search: Analyzing and retrieving issues based on semantic similarity.
* Multilabel classification: Classifying issues into multiple categories based on their labels.
* Exploratory analysis: Gaining insights into the trends and patterns within GitHub issues.

Limitations and Risks:
Users of this dataset should be aware of potential limitations, such as data incompleteness, bias in issue labeling, or outdated information. Additionally, data privacy and ethical considerations should be taken into account when using GitHub issues data.

Access:
The dataset is openly accessible to anyone interested in using it for research, analysis, or any other suitable applications. The dataset is publicly available for download and usage.

Note:
Certain user-specific features, such as "user", "author_association", "assignee" and "assignees" have been excluded from the dataset to protect individual privacy and mitigate the risk of identifying users or contributors.

More Information needed
TAGS
#region-us 
 # Dataset Card for "github-issues_huggingface-datasets"
Dataset Name: *GitHub Issues from Hugging Face Datasets*

Description:
The "github-issues_huggingface-datasets" dataset is a corpus of GitHub issues extracted from the Hugging Face Datasets repository. It includes valuable information and metadata related to the issues, such as titles, descriptions, labels, states, comments, and whether they are pull requests. The dataset was compiled using the GitHub REST API, which enabled the retrieval of issues and their corresponding comments. Additionally, a new column was added to indicate whether an issue is a pull request.

Dataset Contents:
The dataset consists of two splits:
1. Train Split: Contains 4,863 records, each with features like URL, repository URL, labels URL, comments URL, HTML URL, ID, node ID, issue number, Title, labels, state, locked status, milestone, comments, creation date, update date, closing date, reactions, timeline URL, and more.
2. Test Split: Comprises 1,216 records with the same features as the train split.

Potential Uses:
This dataset is valuable for various purposes, such as:
* Semantic search: Analyzing and retrieving issues based on semantic similarity.
* Multilabel classification: Classifying issues into multiple categories based on their labels.
* Exploratory analysis: Gaining insights into the trends and patterns within GitHub issues.

Limitations and Risks:
Users of this dataset should be aware of potential limitations, such as data incompleteness, bias in issue labeling, or outdated information. Additionally, data privacy and ethical considerations should be taken into account when using GitHub issues data.

Access:
The dataset is openly accessible to anyone interested in using it for research, analysis, or any other suitable applications. The dataset is publicly available for download and usage.

Note:
Certain user-specific features, such as "user", "author_association", "assignee" and "assignees" have been excluded from the dataset to protect individual privacy and mitigate the risk of identifying users or contributors.

More Information needed