Datasets:
0
float64 -0.18
0.61
| 1
float64 -0.53
0.57
|
---|---|
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0.200742 | 0.221496 |
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-0.040548 | 0.144835 |
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0.422375 | 0.125427 |
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0.142456 | 0.117029 |
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0.049928 | 0.074496 |
0.26766 | 0.401519 |
0.317535 | 0.052973 |
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0.258991 | 0.366511 |
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0.013788 | -0.121775 |
0.064078 | 0.024924 |
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0.174624 | -0.292576 |
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0.216133 | -0.155435 |
0.226209 | -0.085863 |
0.055847 | 0.000935 |
0.197035 | 0.125625 |
0.152476 | 0.045927 |
-0.032332 | 0.177218 |
0.116201 | -0.205901 |
Dataset Card for feature vector embeddings of the 20newsgroup dataset
Dataset Summary
This dataset contains dimensional reduced vector embeddings of the 20newsgroups dataset. This dataset contains two dimensions.
The dimensional reduced embeddings were created with the TruncatedSVD function from the scikit-learn library. These reduced feature vectors are based on the fscheffczyk/20newsgroup_embeddings dataset.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
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Dataset Structure
Data Instances
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Data Fields
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Data Splits
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Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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Licensing Information
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Citation Information
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Contributions
Thanks to @github-username for adding this dataset.
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