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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