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Visits since 05/11/2005:
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| KEEL-dataset - data set description |
This section describes main characteristics of the rcv1v2-s4 data set and its attributes:
General information
| Reuters Corpus Volume I (v2) - subset 4 data set | |||
|---|---|---|---|
| Type | Multi label | Origin | Real world |
| Features | 47229 | (Real / Integer / Nominal) | (47229 / 0 / 0) |
| Instances | 6000 | Classes | 101 |
| Missing values? | No | ||
Additional information
Reuters Corpus Volume I (RCV1) is an archive of over 800,000 manually categorized newswire stories recently made avaliable by Reuters, Ltd. for research prurposes. Use of this data for research on text categorization requires a detailed understanding of the real world constraints under which the data was produced. This data set contains the subset 4 of Reuters Corpus Volume I.
In this section you can download some files related to the rcv1v2-s4 data set:
- The complete data set already formatted in KEEL format can be downloaded from
here
. - A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from here.
- A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here.
- The header file associated to this data set can be downloaded from here
. - This is not a native data set from the KEEL project. It has been obtained from the Mulan repository. The original page where the data set can be found is: http://mulan.sourceforge.net/datasets.html.
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