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--- |
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license: cc-by-nc-2.0 |
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task_categories: |
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- token-classification |
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language: |
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- en |
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multilinguality: |
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- monolingual |
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tags: |
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- architecture |
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- engineering |
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- construction |
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- operations |
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- aeco |
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- scierc |
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- Scientific Knowledge Graph |
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- NER |
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- RE |
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- Relation |
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- Extraction |
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size_categories: |
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- 1K<n<10K |
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source_datasets: |
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- original |
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dataset_info: |
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features: |
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- name: sentence_text |
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dtype: string |
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- name: Tasks |
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dtype: string |
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- name: Methods |
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dtype: string |
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- name: Metrics |
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dtype: string |
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- name: USED-FOR |
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dtype: string |
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- name: EVALUATE-FOR |
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dtype: string |
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- name: relevant |
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dtype: string |
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splits: |
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- name: train |
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num_examples: 1016 |
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- name: test |
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num_examples: 200 |
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--- |
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# Dataset Card for SciERC AECO dataset |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** |
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- **Paper:** [A Few-Shot Approach for Relation Extraction Domain Adaptation using Large Language Models](https://arxiv.org/abs/2408.02377) |
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- **Point of Contact:** [Vanni Zavarella](mailto:vanni.zavarella@unica.it) |
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### Dataset Summary |
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The SciERC AECO dataset is an English-language dataset containing 1016 sentences from research papers in the AECO domain, annotated for scientific entities and relations based on the SciERC annotation schema. |
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### Supported Tasks and Leaderboards |
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- 'NER': the dataset can be used to train a model to detect scientific entities according to the SciERC annotation schema |
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- 'Relation extraction': the dataset can be used to train a model to detect binary relations between pairs of scientific entities according to the SciERC annotation schema. |
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### Languages |
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English (EN) |
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## Dataset Structure |
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### Data Instances |
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Each row in the dataset contains: |
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- a "sentence_text" string valued attribute |
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- an (optionally empty) "Tasks" attribute containing annotated entities of type TASK, in the form of a string dictionary "Ti":"entity_string" where Ti is an index of the entity and "entity_string" the string match of the entity in the sentence_text |
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- an (optionally empty) "Methods" attribute containing annotated entities of type METHOD, in the form of a string dictionary "Ti":"entity_string" where Ti is an index of the entity and "entity_string" the string match of the entity in the sentence_text |
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- an (optionally empty) "Metrics" attribute containing annotated entities of type METRIC, in the form of a string dictionary "Ti":"entity_string" where Ti is an index of the entity and "entity_string" the string match of the entity in the sentence_text |
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- an (optionally empty) "USED-FOR" attribute containing annotated relations in the form of a list of dictionaries "Ti":"Tj" where Ti is the index of the subject entity and Tj is the index of the object entity |
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- an (optionally empty) "EVALUATE-FOR" attribute containing annotated relations in the form of a list of dictionaries "Ti":"Tj" where Ti is the index of the subject entity and Tj is the index of the object entity |
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- a boolean attribute "relevant" marking if any of the "Tasks","Methods" or "Metrics" attributes is non-emtpy ("relevant"=True), meaning that the sentence contains True positive examples of SciERC entity and/or relations |
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### Data Fields |
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Each row in the dataset contains: |
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- a "sentence_text" string valued attribute |
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- an (optionally empty) "Tasks" attribute containing annotated entities of type TASK, in the form of a string dictionary "Ti":"entity_string" where Ti is an index of the entity and "entity_string" the string match of the entity in the sentence_text |
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- an (optionally empty) "Methods" attribute containing annotated entities of type METHOD, in the form of a string dictionary "Ti":"entity_string" where Ti is an index of the entity and "entity_string" the string match of the entity in the sentence_text |
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- an (optionally empty) "Metrics" attribute containing annotated entities of type METRIC, in the form of a string dictionary "Ti":"entity_string" where Ti is an index of the entity and "entity_string" the string match of the entity in the sentence_text |
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- an (optionally empty) "USED-FOR" attribute containing annotated relations in the form of a list of dictionaries "Ti":"Tj" where Ti is the index of the subject entity and Tj is the index of the object entity |
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- an (optionally empty) "EVALUATE-FOR" attribute containing annotated relations in the form of a list of dictionaries "Ti":"Tj" where Ti is the index of the subject entity and Tj is the index of the object entity |
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- a boolean attribute "relevant" marking if any of the "Tasks","Methods" or "Metrics" attributes is non-emtpy ("relevant"=True), meaning that the sentence contains True positive examples of SciERC entity and/or relations |
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## Dataset Creation |
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### Source Data |
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#### Initial Data Collection |
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The source data comprise titles and abstracts from a collection of research articles in the AECO area published in the time range 2010-2023, retrieved from the OpenAlex2 open scientific graph database (https://docs.openalex.org) using a set of platform-specific topic filtering tags. |
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#### Who are the annotators? |
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Vanni Zavarella |
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Juan Carlos Gamero Salinas |
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### Personal and Sensitive Information |
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No personal/sensitive information is included. |
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## Considerations for Using the Data |
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### Licensing Information |
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The SciERC AECO dataset is released under the [cc-by-nc-2.0]. |
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### Citation Information |
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``` |
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@misc{zavarella2024fewshotapproachrelationextraction, |
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title={A Few-Shot Approach for Relation Extraction Domain Adaptation using Large Language Models}, |
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author={Vanni Zavarella and Juan Carlos Gamero-Salinas and Sergio Consoli}, |
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year={2024}, |
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eprint={2408.02377}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2408.02377}, |
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} |
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``` |
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``` |
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@InProceedings{luan2018multitask, |
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author = {Luan, Yi and He, Luheng and Ostendorf, Mari and Hajishirzi, Hannaneh}, |
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title = {Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction}, |
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booktitle = {Proc.\ Conf. Empirical Methods Natural Language Process. (EMNLP)}, |
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year = {2018}, |
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} |
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``` |
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