README.md

---
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
configs:
- config_name: as
  data_files:
  - split: train
    path: as/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.