Datasets:
samanantar

Fine-Grained Tasks: machine-translation
Multilinguality: translation
Size Categories: unknown
Language Creators: found
Annotations Creators: no-annotation
Source Datasets: original
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YAML Metadata Warning: The task_categories "conditional-text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, conversational, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, visual-question-answering, document-question-answering, zero-shot-image-classification, other
YAML Metadata Warning: The task_ids "machine-translation" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-generation, dialogue-modeling, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering

Dataset Card for Samanantar

Dataset Summary

Samanantar is the largest publicly available parallel corpora collection for Indic language: Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, Telugu.

The corpus has 49.6M sentence pairs between English to Indian Languages.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

Samanantar contains parallel sentences between English (en) and 11 Indic language:

  • Assamese (as),
  • Bengali (bn),
  • Gujarati (gu),
  • Hindi (hi),
  • Kannada (kn),
  • Malayalam (ml),
  • Marathi (mr),
  • Odia (or),
  • Punjabi (pa),
  • Tamil (ta) and
  • Telugu (te).

Dataset Structure

Data Instances

{
  'idx': 0,
  'src': 'Prime Minister Narendra Modi met Her Majesty Queen Maxima of the Kingdom of the Netherlands today.',
  'tgt': 'নতুন দিল্লিতে সোমবার প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদীর সঙ্গে নেদারন্যান্ডসের মহারানী ম্যাক্সিমা সাক্ষাৎ করেন।',
  'data_source': 'pmi'
}

Data Fields

  • idx (int): ID.
  • src (string): Sentence in source language (English).
  • tgt (string): Sentence in destination language (one of the 11 Indic languages).
  • data_source (string): Source of the data. For created data sources, depending on the destination language, it might be one of:
    • anuvaad_catchnews
    • anuvaad_DD_National
    • anuvaad_DD_sports
    • anuvaad_drivespark
    • anuvaad_dw
    • anuvaad_financialexpress
    • anuvaad-general_corpus
    • anuvaad_goodreturns
    • anuvaad_indianexpress
    • anuvaad_mykhel
    • anuvaad_nativeplanet
    • anuvaad_newsonair
    • anuvaad_nouns_dictionary
    • anuvaad_ocr
    • anuvaad_oneindia
    • anuvaad_pib
    • anuvaad_pib_archives
    • anuvaad_prothomalo
    • anuvaad_timesofindia
    • asianetnews
    • betterindia
    • bridge
    • business_standard
    • catchnews
    • coursera
    • dd_national
    • dd_sports
    • dwnews
    • drivespark
    • fin_express
    • goodreturns
    • gu_govt
    • jagran-business
    • jagran-education
    • jagran-sports
    • ie_business
    • ie_education
    • ie_entertainment
    • ie_general
    • ie_lifestyle
    • ie_news
    • ie_sports
    • ie_tech
    • indiccorp
    • jagran-entertainment
    • jagran-lifestyle
    • jagran-news
    • jagran-tech
    • khan_academy
    • Kurzgesagt
    • marketfeed
    • mykhel
    • nativeplanet
    • nptel
    • ocr
    • oneindia
    • pa_govt
    • pmi
    • pranabmukherjee
    • sakshi
    • sentinel
    • thewire
    • toi
    • tribune
    • vsauce
    • wikipedia
    • zeebiz

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

Creative Commons Attribution-NonCommercial 4.0 International.

Citation Information

@misc{ramesh2021samanantar,
      title={Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages},
      author={Gowtham Ramesh and Sumanth Doddapaneni and Aravinth Bheemaraj and Mayank Jobanputra and Raghavan AK and Ajitesh Sharma and Sujit Sahoo and Harshita Diddee and Mahalakshmi J and Divyanshu Kakwani and Navneet Kumar and Aswin Pradeep and Srihari Nagaraj and Kumar Deepak and Vivek Raghavan and Anoop Kunchukuttan and Pratyush Kumar and Mitesh Shantadevi Khapra},
      year={2021},
      eprint={2104.05596},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Contributions

Thanks to @albertvillanova for adding this dataset.

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