metadata

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: 20ng
    default: true
    data_files:
      - split: train
        path: data/20NG.csv.gz
      - split: test
        path: data/20NG_test.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

20 Newsgroups

Train

Some measurable characteristics of the dataset:

D — number of documents
W — modality dictionary size (number of unique tokens)
len D — average document length in modality tokens (number of tokens)
len D uniq — average document length in unique modality tokens (number of unique tokens)

	D	@lemmatized W	@lemmatized len D	@lemmatized len D uniq	@bigram W	@bigram len D	@bigram len D uniq
value	11301	1.0614e+06	93.9204	60.5687	213701	18.9099	15.0068

Information about document lengths in modality tokens:

	len_total@lemmatized	len_total@bigram	len_uniq@lemmatized	len_uniq@bigram
mean	93.9204	18.9099	60.5687	15.0068
std	276.901	66.4278	104.23	39.1756
min	0	0	0	0
25%	20	3	19	3
50%	42	8	35	8
75%	83	16	65	15
max	6497	1528	1875	831

Metadata: known class labels (20 classes).