--- 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 configuration of antenna elements." } ``` ### 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.