# Dataset Card for "news-summary"


## Dataset Description

- **Homepage:** Kaggle Challenge
- **Repository:** https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset?select=True.csv
- **Paper:** N.A.
- **Leaderboard:** N.A.
- **Point of Contact:** N.A.

### Dataset Summary

Officially it was supposed to be used for classification but, can you use this data set to summarize news articles?

### Languages

english 

### Citation Information

Acknowledgements

Ahmed H, Traore I, Saad S. “Detecting opinion spams and fake news using text classification”, Journal of Security and Privacy, Volume 1, Issue 1, Wiley, January/February 2018.
Ahmed H, Traore I, Saad S. (2017) “Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques. In: Traore I., Woungang I., Awad A. (eds) Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments. ISDDC 2017. Lecture Notes in Computer Science, vol 10618. Springer, Cham (pp. 127-138).

### Contributions

Thanks to [@davidberenstein1957](https://github.com/davidberenstein1957) for adding this dataset.
task_categories:summarization task_ids:news-articles-summarization size_categories:10K<n<100K source_datasets:original language:en license:cc-by-nc-4.0 region:us
{"language": ["en"], "license": ["cc-by-nc-4.0"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": ["news-articles-summarization"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "prediction", "list": [{"name": "score", "dtype": "float64"}, {"name": "text", "dtype": "string"}]}, {"name": "prediction_agent", "dtype": "string"}, {"name": "annotation", "dtype": "null"}, {"name": "annotation_agent", "dtype": "null"}, {"name": "id", "dtype": "string"}, {"name": "metadata", "dtype": "null"}, {"name": "status", "dtype": "string"}, {"name": "event_timestamp", "dtype": "timestamp[us]"}, {"name": "metrics", "struct": [{"name": "text_length", "dtype": "int64"}]}], "splits": [{"name": "train", "num_bytes": 2563132.0446374374, "num_examples": 1000}, {"name": "test", "num_bytes": 52331466.955362566, "num_examples": 20417}], "download_size": 33207109, "dataset_size": 54894599.0}}
TAGS
#task_categories-summarization #task_ids-news-articles-summarization #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-nc-4.0 #region-us 

# Dataset Card for "news-summary"


## Dataset Description

- Homepage: Kaggle Challenge
- Repository: URL
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A.

### Dataset Summary

Officially it was supposed to be used for classification but, can you use this data set to summarize news articles?

### Languages

english 



Acknowledgements

Ahmed H, Traore I, Saad S. “Detecting opinion spams and fake news using text classification”, Journal of Security and Privacy, Volume 1, Issue 1, Wiley, January/February 2018.
Ahmed H, Traore I, Saad S. (2017) “Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques. In: Traore I., Woungang I., Awad A. (eds) Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments. ISDDC 2017. Lecture Notes in Computer Science, vol 10618. Springer, Cham (pp. 127-138).

### Contributions

Thanks to @davidberenstein1957 for adding this dataset.
# Dataset Card for "news-summary" ## Dataset Description

- Homepage: Kaggle Challenge
- Repository: URL
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A. ### Dataset Summary

Officially it was supposed to be used for classification but, can you use this data set to summarize news articles? ### Languages

english 



Acknowledgements

Ahmed H, Traore I, Saad S. “Detecting opinion spams and fake news using text classification”, Journal of Security and Privacy, Volume 1, Issue 1, Wiley, January/February 2018.
Ahmed H, Traore I, Saad S. (2017) “Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques. In: Traore I., Woungang I., Awad A. (eds) Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments. ISDDC 2017. Lecture Notes in Computer Science, vol 10618. Springer, Cham (pp. 127-138). ### Contributions

Thanks to @davidberenstein1957 for adding this dataset.
TAGS
#task_categories-summarization #task_ids-news-articles-summarization #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-nc-4.0 #region-us 
 # Dataset Card for "news-summary" ## Dataset Description

- Homepage: Kaggle Challenge
- Repository: URL
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A. ### Dataset Summary

Officially it was supposed to be used for classification but, can you use this data set to summarize news articles? ### Languages

english 



Acknowledgements

Ahmed H, Traore I, Saad S. “Detecting opinion spams and fake news using text classification”, Journal of Security and Privacy, Volume 1, Issue 1, Wiley, January/February 2018.
Ahmed H, Traore I, Saad S. (2017) “Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques. In: Traore I., Woungang I., Awad A. (eds) Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments. ISDDC 2017. Lecture Notes in Computer Science, vol 10618. Springer, Cham (pp. 127-138). ### Contributions

Thanks to @davidberenstein1957 for adding this dataset.
passage: TAGS
#task_categories-summarization #task_ids-news-articles-summarization #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-nc-4.0 #region-us 
# Dataset Card for "news-summary"## Dataset Description

- Homepage: Kaggle Challenge
- Repository: URL
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A.### Dataset Summary

Officially it was supposed to be used for classification but, can you use this data set to summarize news articles?### Languages

english 



Acknowledgements

Ahmed H, Traore I, Saad S. “Detecting opinion spams and fake news using text classification”, Journal of Security and Privacy, Volume 1, Issue 1, Wiley, January/February 2018.
Ahmed H, Traore I, Saad S. (2017) “Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques. In: Traore I., Woungang I., Awad A. (eds) Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments. ISDDC 2017. Lecture Notes in Computer Science, vol 10618. Springer, Cham (pp. 127-138).### Contributions

Thanks to @davidberenstein1957 for adding this dataset.