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google-research-datasets/dakshinaArchived

0
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212 stars·18 forks·7 views

Dakshina

The Dakshina dataset is a collection of text in both Latin and native scripts for 12 South Asian languages. For each language, the dataset includes a large collection of native script Wikipedia text, a romanization lexicon of words in the native script with attested romanizations, and some full sentence parallel data in both a native script of the language and the basic Latin alphabet.

Features

  • Natural Language Processing - Listed in the “Natural Language Processing” section of the FunNLP awesome list.
  • Natural Language Corpora - Parallel text data for South Asian languages.

Star history

Star history chart for google-research-datasets/dakshinaStar history chart for google-research-datasets/dakshina

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Dakshina

These projects share indexed features with Dakshina. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • dbamman/litbankdbamman avatar

    dbamman/litbank

    377View on GitHub↗

    Annotated dataset of 100 works of fiction to support tasks in natural language processing and the computational humanities.

    Python
    View on GitHub↗377
  • didi/chinesenlpdidi avatar

    didi/ChineseNLP

    1,811View on GitHub↗

    Datasets, SOTA results of every fields of Chinese NLP

    HTMLchinese-nlpchinese-word-segmentationentity-linking
    View on GitHub↗1,811
  • complementizer/wcep-mds-datasetcomplementizer avatar

    complementizer/wcep-mds-dataset

    61View on GitHub↗

    The WCEP dataset for multi-document summarization (MDS) consists of short, human-written summaries about news events, obtained from the Wikipedia Current Events Portal (WCEP), each paired with a cluster of news articles associated with an event. These articles consist of sources cited by editors…

    Python
    View on GitHub↗61
  • edinburghnlp/opus-100-corpusEdinburghNLP avatar

    EdinburghNLP/opus-100-corpus

    93View on GitHub↗

    OPUS-100

    Python
    View on GitHub↗93
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Frequently asked questions

What does google-research-datasets/dakshina do?

The Dakshina dataset is a collection of text in both Latin and native scripts for 12 South Asian languages. For each language, the dataset includes a large collection of native script Wikipedia text, a romanization lexicon of words in the native script with attested romanizations, and some full sentence parallel data in both a native script of the language and the basic Latin alphabet.

What are the main features of google-research-datasets/dakshina?

The main features of google-research-datasets/dakshina are: Natural Language Processing, Natural Language Corpora.

Which projects share features with google-research-datasets/dakshina?

Projects with overlapping indexed features include: didi/chinesenlp — Datasets, SOTA results of every fields of Chinese NLP. embedding/chinese-word-vectors — This project is a collection of pre-trained dense and sparse word vectors trained on diverse Chinese corpora. It… complementizer/wcep-mds-dataset — The WCEP dataset for multi-document summarization (MDS) consists of short, human-written summaries about news events,… dbamman/litbank — Annotated dataset of 100 works of fiction to support tasks in natural language processing and the computational… edinburghnlp/opus-100-corpus — OPUS-100. facebookresearch/laser — LASER is a cross-lingual sentence embedding library and multilingual text encoder. It functions as a parallel text…