
# 8TAGS

### Dataset Summary

A Polish topic classification dataset consisting of headlines from social media posts. It contains about 50,000 sentences annotated with 8 topic labels: film, history, food, medicine, motorization, work, sport and technology. This dataset was created automatically by extracting sentences from headlines and short descriptions of articles posted on Polish social networking site **wykop.pl**. The service allows users to annotate articles with one or more tags (categories). Dataset represents a selection of article sentences from 8 popular categories. The resulting corpus contains cleaned and tokenized, unambiguous sentences (tagged with only one of the selected categories), and longer than 30 characters.

### Data Instances

Example instance:
```
{
  "sentence": "Kierowca był nieco zdziwiony że podróżując sporo ponad 200 km / h zatrzymali go policjanci.", 
  "label": "4"
}
```

### Data Fields

- sentence: sentence text
- label: label identifier corresponding to one of 8 topics

### Citation Information

```
@inproceedings{dadas-etal-2020-evaluation,
  title = "Evaluation of Sentence Representations in {P}olish",
  author = "Dadas, Slawomir  and Pere{\l}kiewicz, Micha{\l} and Po{\'s}wiata, Rafa{\l}",
  booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
  month = may,
  year = "2020",
  address = "Marseille, France",
  publisher = "European Language Resources Association",
  url = "https://aclanthology.org/2020.lrec-1.207",
  pages = "1674--1680",
  language = "English",
  ISBN = "979-10-95546-34-4",
}
```

task_categories:text-classification task_ids:topic-classification task_ids:multi-class-classification multilinguality:monolingual size_categories:10K<n<100K language:pl license:cc-by-nc-sa-4.0 region:us
{"language": ["pl"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "task_ids": ["topic-classification", "multi-class-classification"], "pretty_name": "8TAGS", "dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "film", "1": "history", "2": "food", "3": "medicine", "4": "motorization", "5": "work", "6": "sport", "7": "technology"}}}}], "splits": [{"name": "train", "num_bytes": 3765325, "num_examples": 40001}, {"name": "validation", "num_bytes": 467676, "num_examples": 5000}, {"name": "test", "num_bytes": 416311, "num_examples": 4372}]}}
TAGS
#task_categories-text-classification #task_ids-topic-classification #task_ids-multi-class-classification #multilinguality-monolingual #size_categories-10K<n<100K #language-Polish #license-cc-by-nc-sa-4.0 #region-us 


# 8TAGS

### Dataset Summary

A Polish topic classification dataset consisting of headlines from social media posts. It contains about 50,000 sentences annotated with 8 topic labels: film, history, food, medicine, motorization, work, sport and technology. This dataset was created automatically by extracting sentences from headlines and short descriptions of articles posted on Polish social networking site URL. The service allows users to annotate articles with one or more tags (categories). Dataset represents a selection of article sentences from 8 popular categories. The resulting corpus contains cleaned and tokenized, unambiguous sentences (tagged with only one of the selected categories), and longer than 30 characters.

### Data Instances

Example instance:


### Data Fields

- sentence: sentence text
- label: label identifier corresponding to one of 8 topics





# 8TAGS ### Dataset Summary

A Polish topic classification dataset consisting of headlines from social media posts. It contains about 50,000 sentences annotated with 8 topic labels: film, history, food, medicine, motorization, work, sport and technology. This dataset was created automatically by extracting sentences from headlines and short descriptions of articles posted on Polish social networking site URL. The service allows users to annotate articles with one or more tags (categories). Dataset represents a selection of article sentences from 8 popular categories. The resulting corpus contains cleaned and tokenized, unambiguous sentences (tagged with only one of the selected categories), and longer than 30 characters. ### Data Instances

Example instance: ### Data Fields

- sentence: sentence text
- label: label identifier corresponding to one of 8 topics
TAGS
#task_categories-text-classification #task_ids-topic-classification #task_ids-multi-class-classification #multilinguality-monolingual #size_categories-10K<n<100K #language-Polish #license-cc-by-nc-sa-4.0 #region-us 
 # 8TAGS ### Dataset Summary

A Polish topic classification dataset consisting of headlines from social media posts. It contains about 50,000 sentences annotated with 8 topic labels: film, history, food, medicine, motorization, work, sport and technology. This dataset was created automatically by extracting sentences from headlines and short descriptions of articles posted on Polish social networking site URL. The service allows users to annotate articles with one or more tags (categories). Dataset represents a selection of article sentences from 8 popular categories. The resulting corpus contains cleaned and tokenized, unambiguous sentences (tagged with only one of the selected categories), and longer than 30 characters. ### Data Instances

Example instance: ### Data Fields

- sentence: sentence text
- label: label identifier corresponding to one of 8 topics