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README.md

@@ -1,25 +1,141 @@
----
-dataset_info:
-  features:
-  - name: TweetID
-    dtype: string
-  - name: TweetText
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': Manual
-          '1': Automated
-  splits:
-  - name: train
-    num_bytes: 572700
-    num_examples: 3503
-  download_size: 280387
-  dataset_size: 572700
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+# Dataset Card for AutoTweet
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage: [info]**
+- **Repository: [info]**
+- **Paper: [info]**
+- **Leaderboard: [info]**
+- **Point of Contact: [info]**
+
+### Dataset Summary
+
+[More Information Needed]
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+```
+@InProceedings{10.1007/978-3-319-28940-3_10,
+author="Almerekhi, Hind
+and Elsayed, Tamer",
+editor="Zuccon, Guido
+and Geva, Shlomo
+and Joho, Hideo
+and Scholer, Falk
+and Sun, Aixin
+and Zhang, Peng",
+title="Detecting Automatically-Generated Arabic Tweets",
+booktitle="Information Retrieval Technology",
+year="2015",
+publisher="Springer International Publishing",
+address="Cham",
+pages="123--134",
+abstract="Recently, Twitter, one of the most widely-known social media platforms, got infiltrated by several automation programs, commonly known as ``bots''. Bots can be easily abused to spread spam and hinder information extraction applications by posting lots of automatically-generated tweets that occupy a good portion of the continuous stream of tweets. This problem heavily affects users in the Arab region due to the recent developing political events as automated tweets can disturb communication and waste time needed in filtering such tweets.",
+isbn="978-3-319-28940-3"
+}
+``` 
+
+### Contributions
+
+Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.