Datasets:
annotations_creators: []
language_creators: []
languages:
- ar
- bg
- de
- el
- en
- es
- fr
- hi
- it
- ja
- nl
- pl
- pt
- ru
- sw
- th
- tr
- ur
- vi
- zh
licenses: []
multilinguality:
- multilingual
pretty_name: Language Identification dataset
size_categories:
- unknown
source_datasets:
- extended|amazon_reviews_multi
- extended|xnli
- extended|stsb_multi_mt
task_categories:
- text-classification
task_ids:
- multi-class-classification
Dataset Card for Language Identification dataset
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
The Language Identification dataset is a collection of 90k samples consisting of text passages and corresponding language label. This dataset was created by collecting data from 3 sources: Multilingual Amazon Reviews Corpus, XNLI, and STSb Multi MT.
Supported Tasks and Leaderboards
The dataset can be used to train a model for language identification, which is a multi-class text classification task. The model papluca/xlm-roberta-base-language-detection, which is a fine-tuned version of xlm-roberta-base, was trained on this dataset and currently achieves 99.6% accuracy on the test set.
Languages
The Language Identification dataset contains text in 20 languages, which are:
arabic (ar), bulgarian (bg), german (de), modern greek (el), english (en), spanish (es), french (fr), hindi (hi), italian (it), japanese (ja), dutch (nl), polish (pl), portuguese (pt), russian (ru), swahili (sw), thai (th), turkish (tr), urdu (ur), vietnamese (vi), and chinese (zh)
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
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Data Splits
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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
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
Thanks to @github-username for adding this dataset.