
# Dataset Card for feature vector embeddings of the 20newsgroup dataset

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

This dataset contains dimensional reduced vector embeddings of the [20newsgroups dataset](http://qwone.com/~jason/20Newsgroups/). This dataset contains two dimensions. 

The dimensional reduced embeddings were created with the [TruncatedSVD function](https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html#sklearn.decomposition.TruncatedSVD) from the [scikit-learn library](https://scikit-learn.org/stable/index.html). 
These reduced feature vectors are based on the [fscheffczyk/20newsgroup_embeddings dataset](https://huggingface.co/datasets/fscheffczyk/20newsgroups_embeddings).

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
task_categories:feature-extraction task_categories:sentence-similarity task_categories:question-answering multilinguality:monolingual size_categories:unknown source_datasets:extended|fscheffczyk/20newsgroups_embeddings language:en news 20newsgroups region:us
{"annotations_creators": [], "language_creators": [], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["extended|fscheffczyk/20newsgroups_embeddings"], "task_categories": ["feature-extraction", "sentence-similarity", "question-answering"], "task_ids": [], "pretty_name": "Dimensional reduced feature vector embeddings of the 20newsgroup dataset", "tags": ["news", "20newsgroups"]}
TAGS
#task_categories-feature-extraction #task_categories-sentence-similarity #task_categories-question-answering #multilinguality-monolingual #size_categories-unknown #source_datasets-extended|fscheffczyk/20newsgroups_embeddings #language-English #news #20newsgroups #region-us 


# Dataset Card for feature vector embeddings of the 20newsgroup dataset

## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:

### 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



### Languages



## Dataset Structure

### Data Instances



### Data Fields



### Data Splits



## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information







### Contributions

Thanks to @github-username for adding this dataset.
# Dataset Card for feature vector embeddings of the 20newsgroup dataset ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: ### 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 ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions

Thanks to @github-username for adding this dataset.
TAGS
#task_categories-feature-extraction #task_categories-sentence-similarity #task_categories-question-answering #multilinguality-monolingual #size_categories-unknown #source_datasets-extended|fscheffczyk/20newsgroups_embeddings #language-English #news #20newsgroups #region-us 
 # Dataset Card for feature vector embeddings of the 20newsgroup dataset ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: ### 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 ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions

Thanks to @github-username for adding this dataset.
passage: TAGS
#task_categories-feature-extraction #task_categories-sentence-similarity #task_categories-question-answering #multilinguality-monolingual #size_categories-unknown #source_datasets-extended|fscheffczyk/20newsgroups_embeddings #language-English #news #20newsgroups #region-us 
# Dataset Card for feature vector embeddings of the 20newsgroup dataset## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions## Dataset Description

- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:### 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### Languages## Dataset Structure### Data Instances### Data Fields### Data Splits## Dataset Creation### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators### Licensing Information