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	---
	language:
	- en
	paperswithcode_id: semeval-2010-task-8
	pretty_name: SemEval-2010 Task 8
	dataset_info:
	features:
	- name: sentence
	dtype: string
	- name: relation
	dtype:
	class_label:
	names:
	'0': Cause-Effect(e1,e2)
	'1': Cause-Effect(e2,e1)
	'2': Component-Whole(e1,e2)
	'3': Component-Whole(e2,e1)
	'4': Content-Container(e1,e2)
	'5': Content-Container(e2,e1)
	'6': Entity-Destination(e1,e2)
	'7': Entity-Destination(e2,e1)
	'8': Entity-Origin(e1,e2)
	'9': Entity-Origin(e2,e1)
	'10': Instrument-Agency(e1,e2)
	'11': Instrument-Agency(e2,e1)
	'12': Member-Collection(e1,e2)
	'13': Member-Collection(e2,e1)
	'14': Message-Topic(e1,e2)
	'15': Message-Topic(e2,e1)
	'16': Product-Producer(e1,e2)
	'17': Product-Producer(e2,e1)
	'18': Other
	splits:
	- name: train
	num_bytes: 1054352
	num_examples: 8000
	- name: test
	num_bytes: 357075
	num_examples: 2717
	download_size: 1964087
	dataset_size: 1411427
	train-eval-index:
	- config: default
	task: text-classification
	task_id: multi_class_classification
	splits:
	train_split: train
	eval_split: test
	col_mapping:
	sentence: text
	relation: target
	metrics:
	- type: accuracy
	name: Accuracy
	- type: f1
	name: F1 macro
	args:
	average: macro
	- type: f1
	name: F1 micro
	args:
	average: micro
	- type: f1
	name: F1 weighted
	args:
	average: weighted
	- type: precision
	name: Precision macro
	args:
	average: macro
	- type: precision
	name: Precision micro
	args:
	average: micro
	- type: precision
	name: Precision weighted
	args:
	average: weighted
	- type: recall
	name: Recall macro
	args:
	average: macro
	- type: recall
	name: Recall micro
	args:
	average: micro
	- type: recall
	name: Recall weighted
	args:
	average: weighted
	---

	# Dataset Card for "sem_eval_2010_task_8"

	## 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: [https://semeval2.fbk.eu/semeval2.php?location=tasks&taskid=11](https://semeval2.fbk.eu/semeval2.php?location=tasks&taskid=11)
	- Repository: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
	- Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
	- Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
	- Size of downloaded dataset files: 1.96 MB
	- Size of the generated dataset: 1.42 MB
	- Total amount of disk used: 3.38 MB

	### Dataset Summary

	The SemEval-2010 Task 8 focuses on Multi-way classification of semantic relations between pairs of nominals.
	The task was designed to compare different approaches to semantic relation classification
	and to provide a standard testbed for future research.

	### Supported Tasks and Leaderboards

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Languages

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Dataset Structure

	### Data Instances

	#### default

	- Size of downloaded dataset files: 1.96 MB
	- Size of the generated dataset: 1.42 MB
	- Total amount of disk used: 3.38 MB

	An example of 'train' looks as follows.
	```
	{
	"relation": 3,
	"sentence": "The system as described above has its greatest application in an arrayed <e1>configuration</e1> of antenna <e2>elements</e2>."
	}
	```

	### Data Fields

	The data fields are the same among all splits.

	#### default
	- `sentence`: a `string` feature.
	- `relation`: a classification label, with possible values including `Cause-Effect(e1,e2)` (0), `Cause-Effect(e2,e1)` (1), `Component-Whole(e1,e2)` (2), `Component-Whole(e2,e1)` (3), `Content-Container(e1,e2)` (4).

	### Data Splits

	\| name \|train\|test\|
	\|-------\|----:\|---:\|
	\|default\| 8000\|2717\|

	## Dataset Creation

	### Curation Rationale

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Source Data

	#### Initial Data Collection and Normalization

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the source language producers?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Annotations

	#### Annotation process

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the annotators?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Personal and Sensitive Information

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Discussion of Biases

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Other Known Limitations

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Additional Information

	### Dataset Curators

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Licensing Information

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Citation Information

	```
	@inproceedings{hendrickx-etal-2010-semeval,
	title = "{S}em{E}val-2010 Task 8: Multi-Way Classification of Semantic Relations between Pairs of Nominals",
	author = "Hendrickx, Iris and
	Kim, Su Nam and
	Kozareva, Zornitsa and
	Nakov, Preslav and
	{'O} S{'e}aghdha, Diarmuid and
	Pad{'o}, Sebastian and
	Pennacchiotti, Marco and
	Romano, Lorenza and
	Szpakowicz, Stan",
	booktitle = "Proceedings of the 5th International Workshop on Semantic Evaluation",
	month = jul,
	year = "2010",
	address = "Uppsala, Sweden",
	publisher = "Association for Computational Linguistics",
	url = "https://www.aclweb.org/anthology/S10-1006",
	pages = "33--38",
	}

	```


	### Contributions

	Thanks to [@JoelNiklaus](https://github.com/JoelNiklaus) for adding this dataset.