Datasets:

thunlp
/

few_rel

	---
	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
	configs:
	- default
	- pid2name
	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
	---

	# Dataset Card for few_rel

	## 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: [GitHub Page](https://thunlp.github.io/)
	- Repository: [GitHub](https://github.com/thunlp/FewRel)
	- Paper: [FewRel](https://arxiv.org/abs/1810.10147), [FewRel 2.0](https://arxiv.org/abs/1910.07124)
	- Leaderboard: [GitHub Leaderboard](https://thunlp.github.io/fewrel.html)
	- Point of Contact: [Needs More Information]

	### 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](https://github.com/gchhablani) for adding this dataset.