Update README.md

README.md

@@ -362,14 +362,12 @@ configs:
   data_files:
   - split: train
     path: data/train-*
-
 annotations_creators: []
-language: []
+language:
+- en
 language_creators: []
-license: []
 multilinguality: []
 pretty_name: GitHub Issues without Comments
-size_categories: []
 source_datasets: []
 task_categories:
 - text-classification
@@ -421,32 +419,16 @@ task_ids:
 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
-
-
-### Languages
-
-English is the primary language of the dataset.It is social media text.
-
+[More Information Needed.]
 
 ## Dataset Structure
 
-### Data Instances
-
-Provide an JSON-formatted example and brief description of a typical instance in the dataset. If available, provide a link to further examples.
+[More Information Needed.]
 
-```
-{
-  'example_field': ...,
-  ...
-}
-```
+### Data Instances
 
-Provide any additional information that is not covered in the other sections about the data here. In particular describe any relationships between data points and if these relationships are made explicit.
+[More Information Needed.]
 
 ### Data Fields
 
-List and describe the fields present in the dataset. Mention their data type, and whether they are used as input or output in any of the tasks the dataset currently supports. If the data has span indices, describe their attributes, such as whether they are at the character level or word level, whether they are contiguous or not, etc. If the datasets contains example IDs, state whether they have an inherent meaning, such as a mapping to other datasets or pointing to relationships between data points.
-
-- `example_field`: description of `example_field`
-
-Note that the descriptions can be initialized with the **Show Markdown Data Fields** output of the [Datasets Tagging app](https://huggingface.co/spaces/huggingface/datasets-tagging), you will then only need to refine the generated descriptions.
+[More Information Needed.]