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---
language:
- en
multilinguality:
- monolingual
license: other
license_name: topicnet
license_link: >-
https://github.com/machine-intelligence-laboratory/TopicNet/blob/master/LICENSE.txt
configs:
- config_name: "bag-of-words"
default: true
data_files:
- split: train
path: "data/Brown_BOW.csv.gz"
- config_name: "natural-order-of-words"
data_files:
- split: train
path: "data/Brown_NOOW.csv.gz"
task_categories:
- text-classification
task_ids:
- topic-classification
- multi-class-classification
- multi-label-classification
tags:
- topic-modeling
- topic-modelling
- text-clustering
- multimodal-data
- multimodal-learning
- modalities
- document-representation
---
# Brown
The Brown Corpus was the first million-word electronic corpus of English, created in 1961 at Brown University. This corpus contains text from 500 sources, and the sources have been categorized by genre, such as news, editorial, and so on. 1.1 gives an example of each genre (for a complete list, see http://icame.uib.no/brown/bcm-los.html).
* Language: English
* Number of topics: 15
* Number of articles: 500
* Year: 1961
## References
* NLTK datasets: https://www.nltk.org/book/ch02.html.
* Dataset site: http://korpus.uib.no/icame/brown.
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