Update README.md

README.md

@@ -380,7 +380,7 @@ task_ids:
 - document-retrieval
 ---
 
-# Dataset Card Creation Guide
+# Dataset Card for GitHub Issues without Comments
 
 ## Table of Contents
 - [Dataset Card Creation Guide](#dataset-card-creation-guide)
@@ -414,27 +414,19 @@ task_ids:
 
 ## Dataset Description
 
-- **Homepage:** [Add homepage URL here if available (unless it's a GitHub repository)]()
-- **Repository:** [If the dataset is hosted on github or has a github homepage, add URL here]()
-- **Paper:** [If the dataset was introduced by a paper or there was a paper written describing the dataset, add URL here (landing page for Arxiv paper preferred)]()
-- **Leaderboard:** [If the dataset supports an active leaderboard, add link here]()
-- **Point of Contact:** [If known, name and email of at least one person the reader can contact for questions about the dataset.]()
+- **Point of Contact:** [Liang Jinbin](liangjinbin93@gmail.com)
 
 ### Dataset Summary
 
-Briefly summarize the dataset, its intended use and the supported tasks. Give an overview of how and why the dataset was created. The summary should explicitly mention the languages present in the dataset (possibly in broad terms, e.g. *translations between several pairs of European languages*), and describe the domain, topic, or genre covered.
+The GitHub Issues dataset contains issues and pull requests from the 🤗 Datasets [repository](https://github.com/huggingface/datasets) ,but it does not include the comments.It supports tasks like Text classification and text retrieval. Each entry is an English-language discussion centered around NLP, computer vision, and other machine learning datasets.
 
 ### Supported Tasks and Leaderboards
 
-For each of the tasks tagged for this dataset, give a brief description of the tag, metrics, and suggested models (with a link to their HuggingFace implementation if available). Give a similar description of tasks that were not covered by the structured tag set (repace the `task-category-tag` with an appropriate `other:other-task-name`).
-
-- `task-category-tag`: The dataset can be used to train a model for [TASK NAME], which consists in [TASK DESCRIPTION]. Success on this task is typically measured by achieving a *high/low* [metric name](https://huggingface.co/metrics/metric_name). The ([model name](https://huggingface.co/model_name) or [model class](https://huggingface.co/transformers/model_doc/model_class.html)) model currently achieves the following score. *[IF A LEADERBOARD IS AVAILABLE]:* This task has an active leaderboard which can be found at [leaderboard url]() and ranks models based on [metric name](https://huggingface.co/metrics/metric_name) while also reporting [other metric name](https://huggingface.co/metrics/other_metric_name).
 
 ### Languages
 
-Provide a brief overview of the languages represented in the dataset. Describe relevant details about specifics of the language such as whether it is social media text, African American English,...
+English is the primary language of the dataset.It is social media text.
 
-When relevant, please provide [BCP-47 codes](https://tools.ietf.org/html/bcp47), which consist of a [primary language subtag](https://tools.ietf.org/html/bcp47#section-2.2.1), with a [script subtag](https://tools.ietf.org/html/bcp47#section-2.2.3) and/or [region subtag](https://tools.ietf.org/html/bcp47#section-2.2.4) if available.
 
 ## Dataset Structure