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- README.md +0 -258
- as/samanantar-train.parquet +3 -0
- bn/samanantar-train-00000-of-00005.parquet +3 -0
- bn/samanantar-train-00001-of-00005.parquet +3 -0
- bn/samanantar-train-00002-of-00005.parquet +3 -0
- bn/samanantar-train-00003-of-00005.parquet +3 -0
- bn/samanantar-train-00004-of-00005.parquet +3 -0
- gu/samanantar-train-00000-of-00002.parquet +3 -0
- gu/samanantar-train-00001-of-00002.parquet +3 -0
- hi/samanantar-train-00000-of-00008.parquet +3 -0
- hi/samanantar-train-00001-of-00008.parquet +3 -0
- hi/samanantar-train-00002-of-00008.parquet +3 -0
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- hi/samanantar-train-00007-of-00008.parquet +3 -0
- kn/samanantar-train-00000-of-00002.parquet +3 -0
- kn/samanantar-train-00001-of-00002.parquet +3 -0
- ml/samanantar-train-00000-of-00004.parquet +3 -0
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- ml/samanantar-train-00002-of-00004.parquet +3 -0
- ml/samanantar-train-00003-of-00004.parquet +3 -0
- mr/samanantar-train-00000-of-00002.parquet +3 -0
- mr/samanantar-train-00001-of-00002.parquet +3 -0
- or/samanantar-train.parquet +3 -0
- pa/samanantar-train-00000-of-00002.parquet +3 -0
- pa/samanantar-train-00001-of-00002.parquet +3 -0
- samanantar.py +0 -94
- ta/samanantar-train-00000-of-00004.parquet +3 -0
- ta/samanantar-train-00001-of-00004.parquet +3 -0
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README.md
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---
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annotations_creators:
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- no-annotation
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language_creators:
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- found
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language:
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- en
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- as
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- bn
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- gu
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- hi
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- kn
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- ml
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- mr
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- or
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- pa
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- ta
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- te
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license:
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- cc-by-nc-4.0
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multilinguality:
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- translation
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size_categories:
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- unknown
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source_datasets:
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- original
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task_categories:
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- text-generation
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- translation
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task_ids: []
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pretty_name: Samanantar
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tags:
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- conditional-text-generation
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---
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# Dataset Card for Samanantar
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:** https://indicnlp.ai4bharat.org/samanantar/
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- **Repository:**
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- **Paper:** [Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages](https://arxiv.org/abs/2104.05596)
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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Samanantar is the largest publicly available parallel corpora collection for Indic language: Assamese, Bengali,
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Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, Telugu.
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The corpus has 49.6M sentence pairs between English to Indian Languages.
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### Supported Tasks and Leaderboards
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[More Information Needed]
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### Languages
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Samanantar contains parallel sentences between English (`en`) and 11 Indic language:
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- Assamese (`as`),
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- Bengali (`bn`),
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- Gujarati (`gu`),
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- Hindi (`hi`),
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- Kannada (`kn`),
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- Malayalam (`ml`),
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- Marathi (`mr`),
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- Odia (`or`),
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- Punjabi (`pa`),
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- Tamil (`ta`) and
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- Telugu (`te`).
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## Dataset Structure
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### Data Instances
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```
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{
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'idx': 0,
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'src': 'Prime Minister Narendra Modi met Her Majesty Queen Maxima of the Kingdom of the Netherlands today.',
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'tgt': 'নতুন দিল্লিতে সোমবার প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদীর সঙ্গে নেদারন্যান্ডসের মহারানী ম্যাক্সিমা সাক্ষাৎ করেন।',
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'data_source': 'pmi'
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}
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```
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### Data Fields
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- `idx` (int): ID.
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- `src` (string): Sentence in source language (English).
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- `tgt` (string): Sentence in destination language (one of the 11 Indic languages).
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- `data_source` (string): Source of the data.
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For created data sources, depending on the destination language, it might be one of:
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- anuvaad_catchnews
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- anuvaad_DD_National
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- anuvaad_DD_sports
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- anuvaad_drivespark
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- anuvaad_dw
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- anuvaad_financialexpress
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- anuvaad-general_corpus
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- anuvaad_goodreturns
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- anuvaad_indianexpress
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- anuvaad_mykhel
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- anuvaad_nativeplanet
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- anuvaad_newsonair
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- anuvaad_nouns_dictionary
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- anuvaad_ocr
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- anuvaad_oneindia
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- anuvaad_pib
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- anuvaad_pib_archives
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- anuvaad_prothomalo
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- anuvaad_timesofindia
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- asianetnews
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- betterindia
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- bridge
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- business_standard
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- catchnews
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- coursera
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- dd_national
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- dd_sports
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- dwnews
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- drivespark
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- fin_express
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- goodreturns
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- gu_govt
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- jagran-business
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- jagran-education
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- jagran-sports
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- ie_business
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- ie_education
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- ie_entertainment
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- ie_general
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- ie_lifestyle
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- ie_news
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- ie_sports
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- ie_tech
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- indiccorp
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- jagran-entertainment
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- jagran-lifestyle
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- jagran-news
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- jagran-tech
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- khan_academy
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- Kurzgesagt
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- marketfeed
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- mykhel
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- nativeplanet
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- nptel
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- ocr
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- oneindia
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- pa_govt
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- pmi
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- pranabmukherjee
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- sakshi
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- sentinel
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- thewire
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- toi
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- tribune
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- vsauce
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- wikipedia
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- zeebiz
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### Data Splits
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[More Information Needed]
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[Creative Commons Attribution-NonCommercial 4.0 International](https://creativecommons.org/licenses/by-nc/4.0/).
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### Citation Information
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```
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@misc{ramesh2021samanantar,
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title={Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages},
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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},
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year={2021},
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eprint={2104.05596},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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### Contributions
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Thanks to [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.
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samanantar.py
DELETED
@@ -1,94 +0,0 @@
|
|
1 |
-
# coding=utf-8
|
2 |
-
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
|
3 |
-
#
|
4 |
-
# Licensed under the Apache License, Version 2.0 (the "License");
|
5 |
-
# you may not use this file except in compliance with the License.
|
6 |
-
# You may obtain a copy of the License at
|
7 |
-
#
|
8 |
-
# http://www.apache.org/licenses/LICENSE-2.0
|
9 |
-
#
|
10 |
-
# Unless required by applicable law or agreed to in writing, software
|
11 |
-
# distributed under the License is distributed on an "AS IS" BASIS,
|
12 |
-
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
13 |
-
# See the License for the specific language governing permissions and
|
14 |
-
# limitations under the License.
|
15 |
-
"""Samanantar dataset."""
|
16 |
-
|
17 |
-
from pathlib import Path
|
18 |
-
|
19 |
-
import datasets
|
20 |
-
|
21 |
-
|
22 |
-
_CITATION = """\
|
23 |
-
@misc{ramesh2021samanantar,
|
24 |
-
title={Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages},
|
25 |
-
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},
|
26 |
-
year={2021},
|
27 |
-
eprint={2104.05596},
|
28 |
-
archivePrefix={arXiv},
|
29 |
-
primaryClass={cs.CL}
|
30 |
-
}
|
31 |
-
"""
|
32 |
-
|
33 |
-
_DESCRIPTION = """\
|
34 |
-
Samanantar is the largest publicly available parallel corpora collection for Indic languages: Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, Telugu. The corpus has 49.6M sentence pairs between English to Indian Languages.
|
35 |
-
"""
|
36 |
-
|
37 |
-
_HOMEPAGE = "https://indicnlp.ai4bharat.org/samanantar/"
|
38 |
-
|
39 |
-
_LICENSE = "Creative Commons Attribution-NonCommercial 4.0 International"
|
40 |
-
|
41 |
-
_URLS = {
|
42 |
-
"0.3.0": "https://ai4b-my.sharepoint.com/:u:/g/personal/sumanthdoddapaneni_ai4bharat_org/EXhX84sbTQhLrsURCU9DlUwBVyJ10cYK9bQQe1SMljf_yA?e=q7GJpb&download=1",
|
43 |
-
}
|
44 |
-
_LANGUAGES = ["as", "bn", "gu", "hi", "kn", "ml", "mr", "or", "pa", "ta", "te"]
|
45 |
-
|
46 |
-
|
47 |
-
class SamanantarConfig(datasets.BuilderConfig):
|
48 |
-
VERSION = datasets.Version("0.3.0")
|
49 |
-
|
50 |
-
def __init__(self, language=None, version=VERSION, **kwargs):
|
51 |
-
super().__init__(name=language, version=version, **kwargs)
|
52 |
-
self.language = language
|
53 |
-
|
54 |
-
|
55 |
-
class Samanantar(datasets.GeneratorBasedBuilder):
|
56 |
-
"""Samanantar dataset."""
|
57 |
-
|
58 |
-
BUILDER_CONFIG_CLASS = SamanantarConfig
|
59 |
-
BUILDER_CONFIGS = [SamanantarConfig(language=language) for language in _LANGUAGES]
|
60 |
-
|
61 |
-
def _info(self):
|
62 |
-
return datasets.DatasetInfo(
|
63 |
-
description=_DESCRIPTION,
|
64 |
-
features=datasets.Features(
|
65 |
-
{
|
66 |
-
"idx": datasets.Value("int64"),
|
67 |
-
"src": datasets.Value("string"),
|
68 |
-
"tgt": datasets.Value("string"),
|
69 |
-
}
|
70 |
-
),
|
71 |
-
supervised_keys=None,
|
72 |
-
homepage=_HOMEPAGE,
|
73 |
-
license=_LICENSE,
|
74 |
-
citation=_CITATION,
|
75 |
-
)
|
76 |
-
|
77 |
-
def _split_generators(self, dl_manager):
|
78 |
-
urls = _URLS[str(self.config.version)]
|
79 |
-
data_dir = dl_manager.download_and_extract(urls)
|
80 |
-
return [
|
81 |
-
datasets.SplitGenerator(
|
82 |
-
name=datasets.Split.TRAIN,
|
83 |
-
gen_kwargs={
|
84 |
-
"data_dir": (Path(data_dir) / "v2" / f"en-{self.config.language}"),
|
85 |
-
},
|
86 |
-
),
|
87 |
-
]
|
88 |
-
|
89 |
-
def _generate_examples(self, data_dir):
|
90 |
-
src_path = data_dir / "train.en"
|
91 |
-
tgt_path = data_dir / f"train.{self.config.language}"
|
92 |
-
with src_path.open(encoding="utf-8") as src_file, tgt_path.open(encoding="utf-8") as tgt_file:
|
93 |
-
for idx, (src_line, tgt_line) in enumerate(zip(src_file, tgt_file)):
|
94 |
-
yield idx, {"idx": idx, "src": src_line.strip(), "tgt": tgt_line.strip()}
|
|
|
|
|
|
|
|
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