Datasets:
chr_en

	---
	annotations_creators:
	- expert-generated
	- found
	- no-annotation
	language_creators:
	- found
	language:
	- chr
	- en
	license:
	- other
	multilinguality:
	- monolingual
	- multilingual
	- translation
	size_categories:
	- 100K<n<1M
	- 10K<n<100K
	- 1K<n<10K
	source_datasets:
	- original
	task_categories:
	- fill-mask
	- text-generation
	- translation
	task_ids:
	- language-modeling
	- masked-language-modeling
	paperswithcode_id: chren
	config_names:
	- monolingual
	- monolingual_raw
	- parallel
	- parallel_raw
	dataset_info:
	- config_name: monolingual
	features:
	- name: sentence
	dtype: string
	splits:
	- name: chr
	num_bytes: 882824
	num_examples: 5210
	- name: en5000
	num_bytes: 615275
	num_examples: 5000
	- name: en10000
	num_bytes: 1211605
	num_examples: 10000
	- name: en20000
	num_bytes: 2432298
	num_examples: 20000
	- name: en50000
	num_bytes: 6065580
	num_examples: 49999
	- name: en100000
	num_bytes: 12130164
	num_examples: 100000
	download_size: 16967664
	dataset_size: 23337746
	- config_name: monolingual_raw
	features:
	- name: text_sentence
	dtype: string
	- name: text_title
	dtype: string
	- name: speaker
	dtype: string
	- name: date
	dtype: int32
	- name: type
	dtype: string
	- name: dialect
	dtype: string
	splits:
	- name: full
	num_bytes: 1210056
	num_examples: 5210
	download_size: 410646
	dataset_size: 1210056
	- config_name: parallel
	features:
	- name: sentence_pair
	dtype:
	translation:
	languages:
	- en
	- chr
	splits:
	- name: train
	num_bytes: 3089562
	num_examples: 11639
	- name: dev
	num_bytes: 260401
	num_examples: 1000
	- name: out_dev
	num_bytes: 78126
	num_examples: 256
	- name: test
	num_bytes: 264595
	num_examples: 1000
	- name: out_test
	num_bytes: 80959
	num_examples: 256
	download_size: 2143266
	dataset_size: 3773643
	- config_name: parallel_raw
	features:
	- name: line_number
	dtype: string
	- name: sentence_pair
	dtype:
	translation:
	languages:
	- en
	- chr
	- name: text_title
	dtype: string
	- name: speaker
	dtype: string
	- name: date
	dtype: int32
	- name: type
	dtype: string
	- name: dialect
	dtype: string
	splits:
	- name: full
	num_bytes: 5010734
	num_examples: 14151
	download_size: 2018726
	dataset_size: 5010734
	configs:
	- config_name: monolingual
	data_files:
	- split: chr
	path: monolingual/chr-*
	- split: en5000
	path: monolingual/en5000-*
	- split: en10000
	path: monolingual/en10000-*
	- split: en20000
	path: monolingual/en20000-*
	- split: en50000
	path: monolingual/en50000-*
	- split: en100000
	path: monolingual/en100000-*
	- config_name: monolingual_raw
	data_files:
	- split: full
	path: monolingual_raw/full-*
	- config_name: parallel
	data_files:
	- split: train
	path: parallel/train-*
	- split: dev
	path: parallel/dev-*
	- split: out_dev
	path: parallel/out_dev-*
	- split: test
	path: parallel/test-*
	- split: out_test
	path: parallel/out_test-*
	default: true
	- config_name: parallel_raw
	data_files:
	- split: full
	path: parallel_raw/full-*
	---

	# Dataset Card for ChrEn

	## 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

	- Repository: [Github repository for ChrEn](https://github.com/ZhangShiyue/ChrEn)
	- Paper: [ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization](https://arxiv.org/abs/2010.04791)
	- Point of Contact: [benfrey@email.unc.edu](benfrey@email.unc.edu)

	### Dataset Summary

	ChrEn is a Cherokee-English parallel dataset to facilitate machine translation research between Cherokee and English.
	ChrEn is extremely low-resource contains 14k sentence pairs in total, split in ways that facilitate both in-domain and out-of-domain evaluation.
	ChrEn also contains 5k Cherokee monolingual data to enable semi-supervised learning.

	### Supported Tasks and Leaderboards

	The dataset is intended to use for `machine-translation` between Enlish (`en`) and Cherokee (`chr`).

	### Languages

	The dataset contains Enlish (`en`) and Cherokee (`chr`) text. The data encompasses both existing dialects of Cherokee: the Overhill dialect, mostly spoken in Oklahoma (OK), and the Middle dialect, mostly used in North Carolina (NC).

	## Dataset Structure

	### Data Instances

	[More Information Needed]

	### Data Fields

	[More Information Needed]

	### Data Splits

	[More Information Needed]

	## Dataset Creation

	### Curation Rationale

	[More Information Needed]

	### Source Data

	#### Initial Data Collection and Normalization

	Many of the source texts were translations of English materials, which means that the Cherokee structures may not be 100% natural in terms of what a speaker might spontaneously produce. Each text was translated by people who speak Cherokee as the first language, which means there is a high probability of grammaticality. These data were originally available in PDF version. We apply the Optical Character Recognition (OCR) via Tesseract OCR engine to extract the Cherokee and English text.

	#### Who are the source language producers?

	[More Information Needed]

	### Annotations

	#### Annotation process

	[More Information Needed]

	#### Who are the annotators?

	The sentences were manually aligned by Dr. Benjamin Frey a proficient second-language speaker of Cherokee, who also fixed the errors introduced by OCR. This process is time-consuming and took several months.

	### 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

	The dataset was gathered and annotated by Shiyue Zhang, Benjamin Frey, and Mohit Bansal at UNC Chapel Hill.

	### Licensing Information

	The copyright of the data belongs to original book/article authors or translators (hence, used for research purpose; and please contact Dr. Benjamin Frey for other copyright questions).

	### Citation Information

	```
	@inproceedings{zhang2020chren,
	title={ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization},
	author={Zhang, Shiyue and Frey, Benjamin and Bansal, Mohit},
	booktitle={EMNLP2020},
	year={2020}
	}
	```

	### Contributions

	Thanks to [@yjernite](https://github.com/yjernite), [@lhoestq](https://github.com/lhoestq) for adding this dataset.