noisy-sentences-dataset

550K sentences in 5 European languages augmented with noise for training and evaluating spell correction tools or machine learning models.

https://github.com/radi-cho/noisy-sentences-dataset

Science Score: 67.0%

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  • CITATION.cff file
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    Found 1 DOI reference(s) in README
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    Links to: zenodo.org
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    Low similarity (7.2%) to scientific vocabulary

Keywords

dataset natural-language-processing nlp
Last synced: 6 months ago · JSON representation ·

Repository

550K sentences in 5 European languages augmented with noise for training and evaluating spell correction tools or machine learning models.

Basic Info
  • Host: GitHub
  • Owner: radi-cho
  • License: mit
  • Default Branch: main
  • Homepage:
  • Size: 7.81 KB
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Topics
dataset natural-language-processing nlp
Created about 3 years ago · Last pushed about 3 years ago
Metadata Files
Readme License Citation

README.md

Noisy Sentences Dataset

DOI

550K sentences in 5 European languages augmented with noise for training and evaluating spell correction tools or machine learning models. We have constructed our dataset to cover representatives from the language families used across Europe. - Germanic - English, German; - Romance - French; - Slavic - Bulgarian; - Turkic - Turkish;

Use case example: Apply language models or other techniques to compare the sentence pairs and reconstruct the original sentences from the augmented ones. You can use a single multilingual solution to solve the challenge or employ multiple models/techniques for the separate languages. Per-word dictionary lookup is also an option.

Files

  • train.csv - the training set
  • test.csv - the test set

Because of an ongoing Kaggle competition, the testing set labels will be released in March 2023.

Columns

  • Id - unique id for each sentence pair
  • Language - one of en (English), bg (Bulgarian), tr (Turkish), fr (French), de (German)
  • Text - noisy text
  • Expected - original sentence before augmentation

Cite

bibtex @software{Cholakov_Noisy_Sentences_Dataset_2023, author = {Cholakov, Radostin}, doi = {10.5281/zenodo.7602333}, month = {2}, title = {{Noisy Sentences Dataset}}, url = {https://github.com/radi-cho/noisy-sentences-dataset}, version = {0.0.1}, year = {2023} }

Credits

The sentences in our dataset are sourced from Wikipedia. The contents of Wikipedia are licensed under the Creative Commons 3.0 License.

Owner

  • Name: Radi Cho
  • Login: radi-cho
  • Kind: user
  • Location: Plovdiv, Bulgaria
  • Company: Stanford University

Student, 19. Machine Learning Research.

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this dataset, please cite it as below."
authors:
- family-names: "Cholakov"
  given-names: "Radostin"
  orcid: "https://orcid.org/0000-0002-5460-8252"
title: "Noisy Sentences Dataset"
version: 0.0.1
doi: 10.5281/zenodo.7602333
date-released: 2023-02-03
url: "https://github.com/radi-cho/noisy-sentences-dataset"

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