Dataset Card for "sentence-compression"

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".

{"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:

from datasets import load_dataset
dataset = load_dataset("embedding-data/sentence-compression")

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

DatasetDict({
    train: Dataset({
        features: ['set'],
        num_rows: 180000
    })
})

Review an example i with:

dataset["train"][i]["set"]

Curation Rationale

More Information Needed

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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Contributions