datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
20-Newsgroups
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… See the full description on the dataset page: https://huggingface.co/datasets/TopicNet/20-Newsgroups.20newsgroups_embeddings
Dataset Card for feature vector embeddings of the 20newsgroup dataset
Dataset Summary
This dataset contains vector embeddings of the 20newsgroups dataset.
The embeddings were created with the Sentence Transformers library using the multi-qa-MiniLM-L6-cos-v1 model.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data… See the full description on the dataset page: https://huggingface.co/datasets/fscheffczyk/20newsgroups_embeddings.2D_20newsgroups_embeddings
Dataset Card for feature vector embeddings of the 20newsgroup dataset
Dataset Summary
This dataset contains dimensional reduced vector embeddings of the 20newsgroups dataset. This dataset contains two dimensions.
The dimensional reduced embeddings were created with the TruncatedSVD function from the scikit-learn library.
These reduced feature vectors are based on the fscheffczyk/20newsgroup_embeddings dataset.
Supported Tasks and Leaderboards
[More… See the full description on the dataset page: https://huggingface.co/datasets/fscheffczyk/2D_20newsgroups_embeddings.