SEACrowd/bloom_captioning

Bloom Captioning数据集是一个用于图像描述任务的数据集，涵盖了74种东南亚本土语言，总数据量为21K。该数据集属于Creative Commons许可证家族，使用前需要接受确认并使用huggingface-cli进行认证。数据集可以通过`datasets`库或`seacrowd`库加载，具体使用方法在README中有详细说明。数据集的主页和版本信息也在README中提供，并附有引用文献。

原始信息汇总

Bloom Captioning 数据集概述

基本信息

• 数据集名称: Bloom Captioning
• 任务类别: 图像描述生成 (Image Captioning)
• 语言覆盖: 74种语言
• 数据量: 21K
• 许可证: Creative Commons license family (cc)

语言列表

• abc, ahk, bfn, bjn, bkx, brb, brv, bya, bzi, ceb, cgc, cmo, ddg, dmg, dnw, dtp, dtr, enc, fil, gal, hil, hre, hro, idt, ilo, ind, jra, kak, khb, khm, kqr, krr, ksw, lhu, llg, lsi, lwl, mdr, mgm, mhx, mkz, mnw, mqj, mry, msb, mya, nod, nst, nxa, nxl, pag, pce, pdu, pea, pmf, sea, sgd, shn, sml, snl, tdt, tet, tha, tkd, tnt, tom, tpu, vie, war, wms, wnk, xmm, yet, zlm

数据集版本

• 源版本: 0.1.0
• SEACrowd版本: 2024.06.20

数据集使用

使用 datasets 库

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

使用 seacrowd 库

python import seacrowd as sc

加载默认配置的数据集

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

查看所有可用的子集配置名称

print(sc.available_config_names("bloom_captioning"))

使用特定配置加载数据集

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

数据集主页

• https://huggingface.co/datasets/sil-ai/bloom-captioning

引用

bibtex @inproceedings{leong-etal-2022-bloom, title = "Bloom Library: Multimodal Datasets in 300+ Languages for a Variety of Downstream Tasks", author = "Leong, Colin and Nemecek, Joshua and Mansdorfer, Jacob and Filighera, Anna and Owodunni, Abraham and Whitenack, Daniel", editor = "Goldberg, Yoav and Kozareva, Zornitsa and Zhang, Yue", booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing", month = dec, year = "2022", address = "Abu Dhabi, United Arab Emirates", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2022.emnlp-main.590", doi = "10.18653/v1/2022.emnlp-main.590", pages = "8608--8621", }

@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} }

搜集汇总

背景与挑战

背景概述

SEACrowd/bloom_captioning是一个专注于图像描述任务的多语言数据集，涵盖74种东南亚原住民语言，总数据量为21K条。该数据集采用Creative Commons许可证，使用前需安装seacrowd库并完成认证，适用于多语言图像描述研究。