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  ---
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- tags:
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- - machine-translation
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- language:
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  - ace
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  - bjn
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  - bug
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  - eng
 
 
 
 
 
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  ---
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- # nllb_seed
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-
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  No Language Left Behind Seed Data
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-
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  NLLB Seed is a set of professionally-translated sentences in the Wikipedia domain. Data for NLLB-Seed was sampled from Wikimedia’s List of articles every Wikipedia should have, a collection of topics in different fields of knowledge and human activity. NLLB-Seed consists of around six thousand sentences in 39 languages. NLLB-Seed is meant to be used for training rather than model evaluation. Due to this difference, NLLB-Seed does not go through the human quality assurance process present in FLORES-200.
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  ## Dataset Usage
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
 
 
 
 
 
 
 
 
 
 
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  ## Citation
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  ```
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  @article{nllb2022,
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  author = {NLLB Team, Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula, Loic Barrault, Gabriel Mejia Gonzalez, Prangthip Hansanti, John Hoffman, Semarley Jarrett, Kaushik Ram Sadagopan, Dirk Rowe, Shannon Spruit, Chau Tran, Pierre Andrews, Necip Fazil Ayan, Shruti Bhosale, Sergey Edunov, Angela Fan, Cynthia Gao, Vedanuj Goswami, Francisco Guzmán, Philipp Koehn, Alexandre Mourachko, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Jeff Wang},
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  title = {No Language Left Behind: Scaling Human-Centered Machine Translation},
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  year = {2022}
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  }
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- ```
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- ## License
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- CC-BY-SA 4.0
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-
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- ## Homepage
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-
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- [https://github.com/facebookresearch/flores/tree/main/nllb_seed](https://github.com/facebookresearch/flores/tree/main/nllb_seed)
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-
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- ### NusaCatalogue
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- For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
 
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+
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  ---
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+ language:
 
 
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  - ace
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  - bjn
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  - bug
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  - eng
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+ pretty_name: Nllb Seed
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+ task_categories:
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+ - machine-translation
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+ tags:
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+ - machine-translation
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  ---
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  No Language Left Behind Seed Data
 
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  NLLB Seed is a set of professionally-translated sentences in the Wikipedia domain. Data for NLLB-Seed was sampled from Wikimedia’s List of articles every Wikipedia should have, a collection of topics in different fields of knowledge and human activity. NLLB-Seed consists of around six thousand sentences in 39 languages. NLLB-Seed is meant to be used for training rather than model evaluation. Due to this difference, NLLB-Seed does not go through the human quality assurance process present in FLORES-200.
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+
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+ ## Languages
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+
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+ ace, bjn, bug, eng
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+
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+ ## Supported Tasks
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+
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+ Machine Translation
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+
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  ## Dataset Usage
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+ ### Using `datasets` library
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+ ```
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+ from datasets import load_dataset
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+ dset = datasets.load_dataset("SEACrowd/nllb_seed", trust_remote_code=True)
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+ ```
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+ ### Using `seacrowd` library
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+ ```import seacrowd as sc
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+ # Load the dataset using the default config
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+ dset = sc.load_dataset("nllb_seed", schema="seacrowd")
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+ # Check all available subsets (config names) of the dataset
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+ print(sc.available_config_names("nllb_seed"))
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+ # Load the dataset using a specific config
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+ dset = sc.load_dataset_by_config_name(config_name="<config_name>")
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+ ```
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+
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+ More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).
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+
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+ ## Dataset Homepage
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+
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+ [https://github.com/facebookresearch/flores/tree/main/nllb_seed](https://github.com/facebookresearch/flores/tree/main/nllb_seed)
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+
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+ ## Dataset Version
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+
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+ Source: 1.0.0. SEACrowd: 2024.06.20.
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+
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+ ## Dataset License
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+
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+ CC-BY-SA 4.0
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  ## Citation
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+ If you are using the **Nllb Seed** dataloader in your work, please cite the following:
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  ```
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  @article{nllb2022,
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  author = {NLLB Team, Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula, Loic Barrault, Gabriel Mejia Gonzalez, Prangthip Hansanti, John Hoffman, Semarley Jarrett, Kaushik Ram Sadagopan, Dirk Rowe, Shannon Spruit, Chau Tran, Pierre Andrews, Necip Fazil Ayan, Shruti Bhosale, Sergey Edunov, Angela Fan, Cynthia Gao, Vedanuj Goswami, Francisco Guzmán, Philipp Koehn, Alexandre Mourachko, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Jeff Wang},
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  title = {No Language Left Behind: Scaling Human-Centered Machine Translation},
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  year = {2022}
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  }
 
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+ @article{lovenia2024seacrowd,
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+ title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages},
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+ 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},
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+ year={2024},
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+ eprint={2406.10118},
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+ journal={arXiv preprint arXiv: 2406.10118}
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+ }
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+ ```