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SEACrowd/bioner_id

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Hugging Face2024-06-24 更新2024-06-29 收录
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https://hf-mirror.com/datasets/SEACrowd/bioner_id
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资源简介:
该数据集来自在线健康咨询平台Alodokter.com,由两名医生进行标注。数据采用IOB格式的CoNLL格式进行标注。数据集包含2017-2020年间医生的2600条医疗回答,两名医学专家将这些数据标注为两种实体类型:疾病(DISORDERS)和解剖学(ANATOMY)。回答的主题包括腹泻、HIV-AIDS、肾结石和结核病,这些主题被世界卫生组织标记为高风险数据集。数据集支持的任务是命名实体识别(Named Entity Recognition)。

This dataset taken from online health consultation platform Alodokter.com which has been annotated by two medical doctors. Data were annotated using IOB in CoNLL format. Dataset contains 2600 medical answers by doctors from 2017-2020. Two medical experts were assigned to annotate the data into two entity types: DISORDERS and ANATOMY. The topics of answers are: diarrhea, HIV-AIDS, nephrolithiasis and TBC, which marked as high-risk dataset from WHO. The supported task is Named Entity Recognition.
提供机构:
SEACrowd
原始信息汇总

Bioner Id 数据集概述

基本信息

  • 名称: Bioner Id
  • 语言: 印尼语 (ind)
  • 任务类别: 命名实体识别 (Named Entity Recognition)
  • 标签: 命名实体识别
  • 许可证: BSD 3-clause Clear license (bsd-3-clause-clear)
  • 版本:
    • 源版本: 1.0.0
    • SEACrowd版本: 2024.06.20

数据来源

  • 来源: 在线健康咨询平台 Alodokter.com
  • 数据标注: 由两名医学专家使用IOB格式进行标注
  • 数据量: 包含2600条医学回答,时间范围为2017-2020年
  • 实体类型: DISORDERS 和 ANATOMY
  • 主题: 腹泻、HIV-AIDS、肾结石和结核病 (WHO标记为高风险数据集)

使用方法

使用 datasets

python from datasets import load_dataset dset = datasets.load_dataset("SEACrowd/bioner_id", trust_remote_code=True)

使用 seacrowd

python import seacrowd as sc

使用默认配置加载数据集

dset = sc.load_dataset("bioner_id", schema="seacrowd")

查看数据集的所有可用子集 (配置名称)

print(sc.available_config_names("bioner_id"))

使用特定配置加载数据集

dset = sc.load_dataset_by_config_name(config_name="<config_name>")

引用

plaintext @article{abdillah2023pengenalan, title={Pengenalan Entitas Biomedis dalam Teks Konsultasi Kesehatan Online Berbahasa Indonesia Berbasis Arsitektur Transformers}, author={Abdillah, Abid Famasya and Purwitasari, Diana and Juanita, Safitri and Purnomo, Mauridhi Hery}, year={2023}, month=feb, journal={Jurnal Teknologi Informasi dan Ilmu Komputer}, volume={10}, number={1}, pages={131--140} }

@article{lovenia2024seacrowd, title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya}, year={2024}, eprint={2406.10118}, journal={arXiv preprint arXiv: 2406.10118} }

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