README.md

metadata

annotations_creators:
  - no-annotation
language_creators:
  - expert-generated
language:
  - en
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 1M<n<10M
source_datasets:
  - original
task_categories:
  - question-answering
task_ids: []
pretty_name: QaZre
tags:
  - zero-shot-relation-extraction
dataset_info:
  features:
    - name: relation
      dtype: string
    - name: question
      dtype: string
    - name: subject
      dtype: string
    - name: context
      dtype: string
    - name: answers
      sequence: string
  splits:
    - name: test
      num_bytes: 29409906
      num_examples: 120000
    - name: validation
      num_bytes: 1481406
      num_examples: 6000
    - name: train
      num_bytes: 2054933851
      num_examples: 8400000
  download_size: 1262253976
  dataset_size: 2085825163
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/test-*
      - split: validation
        path: data/validation-*
      - split: train
        path: data/train-*

Dataset Card for QaZre

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: http://nlp.cs.washington.edu/zeroshot
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 516.06 MB
• Size of the generated dataset: 2.09 GB
• Total amount of disk used: 2.60 GB

Dataset Summary

A dataset reducing relation extraction to simple reading comprehension questions

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 516.06 MB
• Size of the generated dataset: 2.09 GB
• Total amount of disk used: 2.60 GB

An example of 'validation' looks as follows.

{
    "answers": [],
    "context": "answer",
    "question": "What is XXX in this question?",
    "relation": "relation_name",
    "subject": "Some entity Here is a bit of context which will explain the question in some way"
}

Data Fields

The data fields are the same among all splits.

default

• relation: a string feature.
• question: a string feature.
• subject: a string feature.
• context: a string feature.
• answers: a list of string features.

Data Splits

name	train	validation	test
default	8400000	6000	120000

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

Unknown.

Citation Information

@inproceedings{levy-etal-2017-zero,
    title = "Zero-Shot Relation Extraction via Reading Comprehension",
    author = "Levy, Omer  and
      Seo, Minjoon  and
      Choi, Eunsol  and
      Zettlemoyer, Luke",
    booktitle = "Proceedings of the 21st Conference on Computational Natural Language Learning ({C}o{NLL} 2017)",
    month = aug,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/K17-1034",
    doi = "10.18653/v1/K17-1034",
    pages = "333--342",
}

Contributions

Thanks to @thomwolf, @lhoestq, @ghomasHudson, @lewtun for adding this dataset.