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Data matrix for training XMTC machine learning models (TF-IDF) without lemmatisation (en)
Data matrix for training XMTC machine learning models (TF-IDF) without lemmatisation. Based on English corpus. Textual data follows the Bag-of-Words feature file format of The Extreme Classification Repositoryn (http://manikvarma.org/downloads/XC/XMLRepository.html).
The first line is formatted as:
total_documents number_of_features number_of_labels
All other lines represent one document per line:
label1,label2,...,labelk ft1:ft1_val ft2:ft2_val ft3:ft3_val .. ftd:ftd_val
i.e, comma-separated list of labels followed by all non-zero components of the TF-IDF vector given as component_number:value.
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Additional information
Format | TXT |
---|---|
File size | 23258369 |
Data status | Current version |
Temporal Coverage | 01.01.2010 - 31.12.2017 |
Data last updated | 24 February 2021 |
Metadata last updated | 24 February 2021 |
Created | 24 February 2021 |
SHA256 | d229bf2e111e15687550a0f5ab527d183442ceeec32f8d47c8190b94681b8bd5 |