Dataset Card for "PAQ_pairs"

Dataset Summary

Pairs questions and answers obtained from Wikipedia.

Disclaimer: The team releasing PAQ QA pairs 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 sentences and is formatted as a dictionary with the key "set" and a list with the sentences as "value". The first sentence is a question and the second an answer; thus, both sentences would be similar.

{"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/PAQ_pairs")

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

DatasetDict({
    train: Dataset({
        features: ['set'],
        num_rows: 64371441
    })
})

Review an example i with:

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

Data Instances

More Information Needed

Data Fields

More Information Needed

Data Splits

More Information Needed

Dataset Creation

More Information Needed

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

The PAQ QA-pairs and metadata is licensed under CC-BY-SA . Other data is licensed according to the accompanying license files.

Citation Information

@article{lewis2021paq,
      title={PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them}, 
      author={Patrick Lewis and Yuxiang Wu and Linqing Liu and Pasquale Minervini and Heinrich Küttler and Aleksandra Piktus and Pontus Stenetorp and Sebastian Riedel},
      year={2021},
      eprint={2102.07033},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Contributions

Thanks to @patrick-s-h-lewis for adding this dataset.