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Datasets:
thunlp
/
few_rel

Tasks:
Other
Languages:
English
Size:
10K<n<100K
ArXiv:
Tags:
relation-extraction
License:
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metadata
annotations_creators:
  - crowdsourced
  - machine-generated
language_creators:
  - found
language:
  - en
license:
  - mit
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
  - n<1K
source_datasets:
  - original
task_categories:
  - other
task_ids: []
paperswithcode_id: fewrel
pretty_name: Few-Shot Relation Classification Dataset
tags:
  - relation-extraction
dataset_info:
  - config_name: default
    features:
      - name: relation
        dtype: string
      - name: tokens
        sequence: string
      - name: head
        struct:
          - name: text
            dtype: string
          - name: type
            dtype: string
          - name: indices
            sequence:
              sequence: int64
      - name: tail
        struct:
          - name: text
            dtype: string
          - name: type
            dtype: string
          - name: indices
            sequence:
              sequence: int64
      - name: names
        sequence: string
    splits:
      - name: train_wiki
        num_bytes: 19923155
        num_examples: 44800
      - name: val_nyt
        num_bytes: 1385642
        num_examples: 2500
      - name: val_pubmed
        num_bytes: 488502
        num_examples: 1000
      - name: val_semeval
        num_bytes: 2646249
        num_examples: 8851
      - name: val_wiki
        num_bytes: 5147348
        num_examples: 11200
      - name: pubmed_unsupervised
        num_bytes: 1117703
        num_examples: 2500
    download_size: 22674323
    dataset_size: 30708599
  - config_name: pid2name
    features:
      - name: relation
        dtype: string
      - name: names
        sequence: string
    splits:
      - name: pid2name
        num_bytes: 81607
        num_examples: 744
    download_size: 22674323
    dataset_size: 81607
config_names:
  - default
  - pid2name

Dataset Card for few_rel

Table of Contents

Dataset Description

Dataset Summary

FewRel is a large-scale few-shot relation extraction dataset, which contains more than one hundred relations and tens of thousands of annotated instances cross different domains.

Supported Tasks and Leaderboards

[Needs More Information]

Languages

The dataset contaings English text, as used by writers on Wikipedia, and crowdsourced English annotations.

Dataset Structure

Data Instances

An instance from train_wiki split:

{'head': {'indices': [[16]], 'text': 'tjq', 'type': 'Q1331049'}, 'names': ['place served by transport hub', 'territorial entity or entities served by this transport hub (airport, train station, etc.)'], 'relation': 'P931', 'tail': {'indices': [[13, 14]], 'text': 'tanjung pandan', 'type': 'Q3056359'}, 'tokens': ['Merpati', 'flight', '106', 'departed', 'Jakarta', '(', 'CGK', ')', 'on', 'a', 'domestic', 'flight', 'to', 'Tanjung', 'Pandan', '(', 'TJQ', ')', '.']}

Data Fields

For default:

  • relation: a string feature containing PID of the relation.

  • tokens: a list of string features containing tokens for the text.

  • head: a dictionary containing:

    • text: a string feature representing the head entity.
    • type: a string feature representing the type of the head entity.
    • indices: a list containing list of token indices.

  • tail: a dictionary containing:

    • text: a string feature representing the tail entity.
    • type: a string feature representing the type of the tail entity.
    • indices: a list containing list of token indices.

  • names: a list of string features containing relation names. For pubmed_unsupervised split, this is set to a list with an empty string. For val_semeval and val_pubmed split, this is set to a list with the string from the relation field.

Data Splits

train_wiki: 44800 val_nyt: 2500 val_pubmed: 1000 val_semeval: 8851 val_wiki: 11200 pubmed_unsupervised: 2500

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[Needs More Information]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

For FewRel:

Han, Xu and Zhu, Hao and Yu, Pengfei and Wang, Ziyun and Yao, Yuan and Liu, Zhiyuan and Sun, Maosong

For FewRel 2.0:

Gao, Tianyu and Han, Xu and Zhu, Hao and Liu, Zhiyuan and Li, Peng and Sun, Maosong and Zhou, Jie

Licensing Information 

MIT License

Copyright (c) 2018 THUNLP

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Citation Information 

@inproceedings{han-etal-2018-fewrel,
    title = "{F}ew{R}el: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation",
    author = "Han, Xu and Zhu, Hao and Yu, Pengfei and Wang, Ziyun and Yao, Yuan and Liu, Zhiyuan and Sun, Maosong",
    booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
    month = oct # "-" # nov,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/D18-1514",
    doi = "10.18653/v1/D18-1514",
    pages = "4803--4809"
}


@inproceedings{gao-etal-2019-fewrel,
    title = "{F}ew{R}el 2.0: Towards More Challenging Few-Shot Relation Classification",
    author = "Gao, Tianyu and Han, Xu and Zhu, Hao and Liu, Zhiyuan and Li, Peng and Sun, Maosong and Zhou, Jie",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/D19-1649",
    doi = "10.18653/v1/D19-1649",
    pages = "6251--6256"
}

Contributions

Thanks to @gchhablani for adding this dataset.