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Michielo
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Merged-LID-20

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Text Classification
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Merged-LID-20

This dataset provides a curated collection of language-specific datasets from Hugging Face, optimized for building and training language identification models. Each dataset includes text samples in a single language, making this an ideal resource for projects involving multilingual natural language processing tasks such as language identification.

Overview

The dataset collection includes 20 languages, covering a range of language families, scripts, and regions, ensuring diversity and comprehensiveness. All datasets are hosted on Hugging Face's dataset library, making them easily accessible and well-documented. The data is organized into language-specific datasets with a standard structure to facilitate seamless integration.

Languages Included:

  • Arabic
  • Spanish
  • English
  • German
  • Hindi
  • Bulgarian
  • Modern Greek
  • Italian
  • Japanese
  • Dutch
  • Polish
  • Turkish
  • Urdu
  • Vietnamese
  • Chinese
  • Swahili
  • Thai
  • Russian
  • Portuguese
  • French

Each dataset contains the following structure:

  • Text Column: Raw text data in the specified language.
  • Language Column: Language label.

Dataset Details

Here’s a detailed breakdown of each language dataset in this collection:

Language Dataset ID Dataset Type
Arabic Harsit/xnli2.0_train_arabic XNLI
Spanish Iker/OpenHermes-2.5-Spanish Conversation
English lucadiliello/english_wikipedia Wikipedia
German seedboxai/german_to_english_translations_v1 Translation
Hindi damerajee/Instruct-hindi Messages
Bulgarian Harsit/xnli2.0_train_bulgarian XNLI
Greek Harsit/xnli2.0_train_greek XNLI
Italian scribis/italian-literature-corpus-mini Literature
Japanese Hoshikuzu/TEDtalk-en-ja,
alek1001/JParaCrawl-Filtered-English-Japanese-Parallel-Corpus-text		 TED Talk,
JParaCrawl
Dutch BramVanroy/wikipedia_culturax_dutch Wikipedia
Polish WiktorS/polish-news,
adowu/polish_sentences		 News,
Messages
Turkish zahide/turkish-instructions-220k,
fthbrmnby/turkish_product_reviews		 Instruction,
Reviews
Urdu El-chapoo/Urdu-1M-news-text News
Vietnamese Jack0508/TED2020_vi TED Talk
Chinese Magpie-Align/Magpie-Qwen2-Pro-200K-Chinese Conversation
Swahili Harsit/xnli2.0_train_swahili,
mwitiderrick/swahili		 XNLI,
Web Crawl
Thai pythainlp/thai-wiki-dataset-v3,
pythainlp/thaisum		 Wikipedia,
thaisum
Russian RussianNLP/Mixed-Summarization-Dataset Summarization
Portuguese adalbertojunior/dolphin_portuguese Conversation
French angeluriot/french_instruct Conversation

License and Acknowledgements

All datasets are sourced from Hugging Face's open dataset repository. Please check each dataset's individual license and citation requirements on Hugging Face before use.

Citation

If you use this collection for your research, please cite this dataset as well as the individual datasets that make up this repository.

Our Dataset 

  @dataset{kamphuis_karki_2024,
    title     = {Merged-LID-20},
    author    = {Michiel Kamphuis and Drishya Karki},
    year      = {2024},
    publisher = {AssistantsLab},
    url = {https://huggingface.co/datasets/AssistantsLab/Merged-LID-20}
  }

Individual Dataset Citations

Citations
  1. Arabic
@dataset{harsit_arabic_xnli,
  author    = {Harsit},
  title     = {XNLI 2.0 Train - Arabic},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/Harsit/xnli2.0_train_arabic}
}
  1. Spanish
@misc{OpenHermes 2.5 Spanish,
  title = {OpenHermes 2.5 Spanish: Translation of instruction dataset for Generalist LLM Assistants in any language.},
  author = {Iker García-Ferrero},
  year = {2024},
  publisher = {HuggingFace},
  url = {https://huggingface.co/datasets/Iker/OpenHermes-2.5-Spanish}
}

@misc{OpenHermes 2.5,
  title = {OpenHermes 2.5: An Open Dataset of Synthetic Data for Generalist LLM Assistants},
  author = {Teknium},
  year = {2023},
  publisher = {HuggingFace},
  url = {https://huggingface.co/datasets/teknium/OpenHermes-2.5}
}
  1. English
@dataset{lucadiliello_english_wikipedia,
  author    = {Lucadiliello},
  title     = {English Wikipedia Data},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/lucadiliello/english_wikipedia}
}
  1. German
@dataset{seedboxai_german_translation,
  author    = {Seedboxai},
  title     = {German to English Translations},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/seedboxai/german_to_english_translations_v1}
}
  1. Hindi
@dataset{damerajee_hindi_instructions,
  author    = {Damerajee},
  title     = {Instruct - Hindi},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/damerajee/Instruct-hindi}
}
  1. Bulgarian
@dataset{harsit_bulgarian_xnli,
  author    = {Harsit},
  title     = {XNLI 2.0 Train - Bulgarian},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/Harsit/xnli2.0_train_bulgarian}
}
  1. Modern Greek
@dataset{harsit_greek_xnli,
  author    = {Harsit},
  title     = {XNLI 2.0 Train - Greek},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/Harsit/xnli2.0_train_greek}
}
  1. Italian
@dataset{scribis_italian_literature,
  author    = {Scribis},
  title     = {Italian Literature Corpus Mini},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/scribis/italian-literature-corpus-mini}
}
  1. Japanese
@misc{duh18multitarget, 
   author = {Kevin Duh},
   title = {The Multitarget TED Talks Task}, 
   howpublished = {\url{http://www.cs.jhu.edu/~kevinduh/a/multitarget-tedtalks/}}, 
   year = {2018}, 
}

@inproceedings{morishita-etal-2020-jparacrawl,
    title = "{JP}ara{C}rawl: A Large Scale Web-Based {E}nglish-{J}apanese Parallel Corpus",
    author = "Morishita, Makoto  and
      Suzuki, Jun  and
      Nagata, Masaaki",
    booktitle = "Proceedings of The 12th Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://www.aclweb.org/anthology/2020.lrec-1.443",
    pages = "3603--3609",
    ISBN = "979-10-95546-34-4",
}
  1. Dutch
@dataset{bramvanroy_dutch_wikipedia,
  author    = {BramVanroy},
  title     = {Wikipedia - Dutch (CulturaX)},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/BramVanroy/wikipedia_culturax_dutch}
}
  1. Polish
@dataset{wiktors_polish_news,
  author    = {WiktorS},
  title     = {Polish News},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/WiktorS/polish-news}
}

@dataset{polish_sentences,
  author    = {Artur WYroślak},
  title     = {Polish Sentences},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/adowu/polish_sentences}
}
  1. Turkish
@dataset{zahide_turkish_instructions,
  author    = {Zahide},
  title     = {Turkish Instructions (220k)},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/zahide/turkish-instructions-220k}
}

@dataset{zahide_turkish_instructions,
  author    = {Fatih Barmanbay},
  title     = {Turkish Product Reviews},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/fthbrmnby/turkish_product_reviews}
}
  1. Urdu
@dataset{elchapoo_urdu_news,
  author    = {El-chapoo},
  title     = {Urdu News (1M)},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/El-chapoo/Urdu-1M-news-text}
}
  1. Vietnamese
@dataset{jack0508_vietnamese_tedtalks,
  author    = {Jack0508},
  title     = {TED2020 - Vietnamese},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/Jack0508/TED2020_vi}
}
  1. Chinese
@dataset{magpiealign_chinese_conversations,
  author    = {Magpie-Align},
  title     = {Magpie-Qwen2 Chinese Conversations},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen2-Pro-200K-Chinese}
}
  1. Swahili
@dataset{harsit_swahili_xnli,
  author    = {Harsit},
  title     = {XNLI 2.0 Train - Swahili},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/Harsit/xnli2.0_train_swahili}
}

@dataset{mwitiderrick_swahili,
  author    = {Derrick Mwiti},
  title     = {mwitiderrick/swahili},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/mwitiderrick/swahili}
}
  1. Thai
@dataset{pythainlp_thai_wikipedia,
  author    = {Pythainlp},
  title     = {Thai Wikipedia Dataset V3},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/pythainlp/thai-wiki-dataset-v3}
}

@mastersthesis{chumpolsathien_2020,
    title={Using Knowledge Distillation from Keyword Extraction to Improve the Informativeness of Neural Cross-lingual Summarization},
    author={Chumpolsathien, Nakhun},
    year={2020},
    school={Beijing Institute of Technology}
  1. Russian
@misc{akhmetgareeva2024summary,
      title={Towards Russian Summarization: can architecture solve data limitations problems?}, 
      author={Albina Akhmetgareeva and Ilia Kuleshov and Vlad Leschuk and Alexander Abramov and Alena Fenogenova},
      year={2024},
}
  1. Portuguese
@dataset{adalbertojunior_portuguese_conversations,
  author    = {Adalbertojunior},
  title     = {Dolphin Portuguese Conversations},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/adalbertojunior/dolphin_portuguese}
}
  1. French
@dataset{angeluriot_french_instruct,
  author    = {Angeluriot},
  title     = {French Instruct},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/angeluriot/french_instruct}
}
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