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Data matrix for training XMTC machine learning models (TF-IDF) with Snowball lemmatisation (en)
Data matrix for training XMTC machine learning models (TF-IDF) with Snowball lemmatisation. Based on a 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 | 343791612 |
Data status | Current version |
Temporal Coverage | - |
Data last updated | 24 February 2021 |
Metadata last updated | 24 February 2021 |
Created | 24 February 2021 |
SHA256 | db2312175b01730808b439035a806297975cec4130277427e0fabdc56dd40325 |