
# Dataset Card for "sentence-compression"

## 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:** [https://github.com/google-research-datasets/sentence-compression](https://github.com/google-research-datasets/sentence-compression)
- **Repository:** [More Information Needed](https://github.com/google-research-datasets/sentence-compression)
- **Paper:** [More Information Needed](https://www.aclweb.org/anthology/D13-1155/)
- **Point of Contact:** [Katja Filippova](altun@google.com)
- **Size of downloaded dataset files:** 
- **Size of the generated dataset:** 
- **Total amount of disk used:** 14.2 MB

### Dataset Summary
Dataset with pairs of equivalent sentences.
The dataset is provided "AS IS" without any warranty, express or implied. 
Google disclaims all liability for any damages, direct or indirect, resulting from using the dataset.

Disclaimer: The team releasing sentence-compression did not upload the dataset to the Hub and did not write a dataset card. These steps were done by the Hugging Face team.

### Supported Tasks
- [Sentence Transformers](https://huggingface.co/sentence-transformers) training; useful for semantic search and sentence similarity. 
### Languages
- English.
## Dataset Structure
Each example in the dataset contains pairs of equivalent sentences and is formatted as a dictionary with the key "set" and a list with the sentences as "value".
```
{"set": [sentence_1, sentence_2]}
{"set": [sentence_1, sentence_2]}
...
{"set": [sentence_1, sentence_2]}
```
This dataset is useful for training Sentence Transformers models. Refer to the following post on how to train models using similar pairs of sentences.
### Usage Example
Install the 🤗 Datasets library with `pip install datasets` and load the dataset from the Hub with:
```python
from datasets import load_dataset
dataset = load_dataset("embedding-data/sentence-compression")
```
The dataset is loaded as a `DatasetDict` and has the format:
```python
DatasetDict({
    train: Dataset({
        features: ['set'],
        num_rows: 180000
    })
})
```
Review an example `i` with:
```python
dataset["train"][i]["set"]
```

### Curation Rationale

[More Information Needed](https://github.com/google-research-datasets/sentence-compression)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/google-research-datasets/sentence-compression)

#### Who are the source language producers?

[More Information Needed](https://github.com/google-research-datasets/sentence-compression)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/google-research-datasets/sentence-compression)

#### Who are the annotators?

[More Information Needed](https://github.com/google-research-datasets/sentence-compression)

### Personal and Sensitive Information

[More Information Needed](https://github.com/google-research-datasets/sentence-compression)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/google-research-datasets/sentence-compression)

### Discussion of Biases

[More Information Needed](https://github.com/google-research-datasets/sentence-compression)

### Other Known Limitations

[More Information Needed](https://github.com/google-research-datasets/sentence-compression)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/google-research-datasets/sentence-compression)

### Licensing Information

[More Information Needed](https://github.com/google-research-datasets/sentence-compression)

### Contributions





task_categories:sentence-similarity task_ids:semantic-similarity-classification language:en license:mit region:us
{"language": ["en"], "license": "mit", "task_categories": ["sentence-similarity", "paraphrase-mining"], "task_ids": ["semantic-similarity-classification"], "paperswithcode_id": "embedding-data/sentence-compression", "pretty_name": "sentence-compression"}
TAGS
#task_categories-sentence-similarity #task_ids-semantic-similarity-classification #language-English #license-mit #region-us 


# Dataset Card for "sentence-compression"

## 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: URL
- Repository: 
- Paper: 
- Point of Contact: Katja Filippova
- Size of downloaded dataset files: 
- Size of the generated dataset: 
- Total amount of disk used: 14.2 MB

### Dataset Summary
Dataset with pairs of equivalent sentences.
The dataset is provided "AS IS" without any warranty, express or implied. 
Google disclaims all liability for any damages, direct or indirect, resulting from using the dataset.

Disclaimer: The team releasing sentence-compression did not upload the dataset to the Hub and did not write a dataset card. These steps were done by the Hugging Face team.

### Supported Tasks
- Sentence Transformers training; useful for semantic search and sentence similarity. 
### Languages
- English.
## Dataset Structure
Each example in the dataset contains pairs of equivalent sentences and is formatted as a dictionary with the key "set" and a list with the sentences as "value".

This dataset is useful for training Sentence Transformers models. Refer to the following post on how to train models using similar pairs of sentences.
### Usage Example
Install the  Datasets library with 'pip install datasets' and load the dataset from the Hub with:

The dataset is loaded as a 'DatasetDict' and has the format:

Review an example 'i' with:


### 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





# Dataset Card for "sentence-compression" ## 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: URL
- Repository: 
- Paper: 
- Point of Contact: Katja Filippova
- Size of downloaded dataset files: 
- Size of the generated dataset: 
- Total amount of disk used: 14.2 MB ### Dataset Summary
Dataset with pairs of equivalent sentences.
The dataset is provided "AS IS" without any warranty, express or implied. 
Google disclaims all liability for any damages, direct or indirect, resulting from using the dataset.

Disclaimer: The team releasing sentence-compression did not upload the dataset to the Hub and did not write a dataset card. These steps were done by the Hugging Face team. ### Supported Tasks
- Sentence Transformers training; useful for semantic search and sentence similarity. ### Languages
- English. ## Dataset Structure
Each example in the dataset contains pairs of equivalent sentences and is formatted as a dictionary with the key "set" and a list with the sentences as "value".

This dataset is useful for training Sentence Transformers models. Refer to the following post on how to train models using similar pairs of sentences. ### Usage Example
Install the  Datasets library with 'pip install datasets' and load the dataset from the Hub with:

The dataset is loaded as a 'DatasetDict' and has the format:

Review an example 'i' with: ### 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
TAGS
#task_categories-sentence-similarity #task_ids-semantic-similarity-classification #language-English #license-mit #region-us 
 # Dataset Card for "sentence-compression" ## 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: URL
- Repository: 
- Paper: 
- Point of Contact: Katja Filippova
- Size of downloaded dataset files: 
- Size of the generated dataset: 
- Total amount of disk used: 14.2 MB ### Dataset Summary
Dataset with pairs of equivalent sentences.
The dataset is provided "AS IS" without any warranty, express or implied. 
Google disclaims all liability for any damages, direct or indirect, resulting from using the dataset.

Disclaimer: The team releasing sentence-compression did not upload the dataset to the Hub and did not write a dataset card. These steps were done by the Hugging Face team. ### Supported Tasks
- Sentence Transformers training; useful for semantic search and sentence similarity. ### Languages
- English. ## Dataset Structure
Each example in the dataset contains pairs of equivalent sentences and is formatted as a dictionary with the key "set" and a list with the sentences as "value".

This dataset is useful for training Sentence Transformers models. Refer to the following post on how to train models using similar pairs of sentences. ### Usage Example
Install the  Datasets library with 'pip install datasets' and load the dataset from the Hub with:

The dataset is loaded as a 'DatasetDict' and has the format:

Review an example 'i' with: ### 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
passage: TAGS
#task_categories-sentence-similarity #task_ids-semantic-similarity-classification #language-English #license-mit #region-us 
# Dataset Card for "sentence-compression"## 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: URL
- Repository: 
- Paper: 
- Point of Contact: Katja Filippova
- Size of downloaded dataset files: 
- Size of the generated dataset: 
- Total amount of disk used: 14.2 MB### Dataset Summary
Dataset with pairs of equivalent sentences.
The dataset is provided "AS IS" without any warranty, express or implied. 
Google disclaims all liability for any damages, direct or indirect, resulting from using the dataset.

Disclaimer: The team releasing sentence-compression did not upload the dataset to the Hub and did not write a dataset card. These steps were done by the Hugging Face team.### Supported Tasks
- Sentence Transformers training; useful for semantic search and sentence similarity.### Languages
- English.## Dataset Structure
Each example in the dataset contains pairs of equivalent sentences and is formatted as a dictionary with the key "set" and a list with the sentences as "value".

This dataset is useful for training Sentence Transformers models. Refer to the following post on how to train models using similar pairs of sentences.### Usage Example
Install the  Datasets library with 'pip install datasets' and load the dataset from the Hub with:

The dataset is loaded as a 'DatasetDict' and has the format:

Review an example 'i' with:### Curation Rationale### Source Data