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RCV1

Reuters Corpus Volume 1

TextsCustomIntroduced 2004-01-01

The RCV1 dataset is a benchmark dataset on text categorization. It is a collection of newswire articles producd by Reuters in 1996-1997. It contains 804,414 manually labeled newswire documents, and categorized with respect to three controlled vocabularies: industries, topics and regions.

Source: Random Projections for Linear Support Vector Machines Image Source: https://www.nasdaq.com/publishers/reuters

Benchmarks

Classification/Accuracy Classification/Macro F1 Classification/Micro F1 Classification/P@1 Classification/P@3 Classification/P@5 Classification/nDCG@1 Classification/nDCG@3 Classification/nDCG@5 Classification/Macro-F1 Classification/Micro-F1 Multi-Label Text Classification/Macro-F1 Multi-Label Text Classification/Micro-F1 Text Classification/Accuracy Text Classification/Macro F1 Text Classification/Micro F1 Text Classification/P@1 Text Classification/P@3 Text Classification/P@5 Text Classification/nDCG@1 Text Classification/nDCG@3 Text Classification/nDCG@5 Text Classification/Macro-F1 Text Classification/Micro-F1

Related Benchmarks

RCV1-v2/Classification/Micro-F1 RCV1-v2/Multi-Label Classification/Macro F1 RCV1-v2/Multi-Label Classification/Micro F1 RCV1-v2/Multi-Label Text Classification/Micro-F1 RCV1-v2/Text Classification/Micro-F1

Statistics

Papers: 336
Benchmarks: 24

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Tasks

Classification Cross-Lingual Document Classification Hierarchical Multi-label Classification Multi-Label Text Classification Text Classification