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Convert dataset sizes from base 2 to base 10 in the dataset card (#3)
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metadata
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 Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://semeval2.fbk.eu/semeval2.php?location=tasks&taskid=11
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- 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
Languages
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: astringfeature.relation: a classification label, with possible values includingCause-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
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
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
@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 for adding this dataset.