--- annotations_creators: - no-annotation language_creators: - found language: - en - as - bn - gu - hi - kn - ml - mr - or - pa - ta - te license: - cc-by-nc-4.0 multilinguality: - translation size_categories: - unknown source_datasets: - original task_categories: - text-generation - translation task_ids: [] pretty_name: Samanantar tags: - conditional-text-generation dataset_info: - config_name: as features: - name: idx dtype: int64 - name: src dtype: string - name: tgt dtype: string splits: - name: train num_bytes: 35548280 num_examples: 141227 download_size: 19404220 dataset_size: 35548280 - config_name: bn features: - name: idx dtype: int64 - name: src dtype: string - name: tgt dtype: string splits: - name: train num_bytes: 2204943013 num_examples: 8604580 download_size: 1197993546 dataset_size: 2204943013 - config_name: gu features: - name: idx dtype: int64 - name: src dtype: string - name: tgt dtype: string splits: - name: train num_bytes: 678219165 num_examples: 3067790 download_size: 370118693 dataset_size: 678219165 - config_name: hi features: - name: idx dtype: int64 - name: src dtype: string - name: tgt dtype: string splits: - name: train num_bytes: 3598130651 num_examples: 10125706 download_size: 1916386168 dataset_size: 3598130651 - config_name: kn features: - name: idx dtype: int64 - name: src dtype: string - name: tgt dtype: string splits: - name: train num_bytes: 908044345 num_examples: 4093524 download_size: 483451767 dataset_size: 908044345 - config_name: ml features: - name: idx dtype: int64 - name: src dtype: string - name: tgt dtype: string splits: - name: train num_bytes: 1545010918 num_examples: 5924426 download_size: 784891308 dataset_size: 1545010918 - config_name: mr features: - name: idx dtype: int64 - name: src dtype: string - name: tgt dtype: string splits: - name: train num_bytes: 929465791 num_examples: 3627480 download_size: 487825355 dataset_size: 929465791 - config_name: or features: - name: idx dtype: int64 - name: src dtype: string - name: tgt dtype: string splits: - name: train num_bytes: 265698932 num_examples: 998228 download_size: 136203687 dataset_size: 265698932 - config_name: pa features: - name: idx dtype: int64 - name: src dtype: string - name: tgt dtype: string splits: - name: train num_bytes: 876144647 num_examples: 2980383 download_size: 470604570 dataset_size: 876144647 - config_name: ta features: - name: idx dtype: int64 - name: src dtype: string - name: tgt dtype: string splits: - name: train num_bytes: 1518393368 num_examples: 5264867 download_size: 753886808 dataset_size: 1518393368 - config_name: te features: - name: idx dtype: int64 - name: src dtype: string - name: tgt dtype: string splits: - name: train num_bytes: 1121643183 num_examples: 4946035 download_size: 599351284 dataset_size: 1121643183 configs: - config_name: as data_files: - split: train path: as/train-* - config_name: bn data_files: - split: train path: bn/train-* - config_name: gu data_files: - split: train path: gu/train-* - config_name: hi data_files: - split: train path: hi/train-* - config_name: kn data_files: - split: train path: kn/train-* - config_name: ml data_files: - split: train path: ml/train-* - config_name: mr data_files: - split: train path: mr/train-* - config_name: or data_files: - split: train path: or/train-* - config_name: pa data_files: - split: train path: pa/train-* - config_name: ta data_files: - split: train path: ta/train-* - config_name: te data_files: - split: train path: te/train-* --- # Dataset Card for Samanantar ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** https://ai4bharat.iitm.ac.in/areas/nmt - **Repository:** - **Paper:** [Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages](https://arxiv.org/abs/2104.05596) - **Leaderboard:** - **Point of Contact:** ### 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](https://creativecommons.org/licenses/by-nc/4.0/). ### 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](https://github.com/albertvillanova) for adding this dataset.