Datasets › italki NLI

italki NLI

Introduced by Thomas Hudson et al. in On the Development of a Large Scale Corpus for Native Language Identification10 Dec 2018 archive 2025-07-28

A large, crowd-sourced dataset for the Native Language Identification (NLI) task. People learning English as a second language write practice Notebooks which can be used to classify the author's native language using word choice, spelling mistakes and other language features.

The dataset has:

  • 11 languages (Arabic, Chinese, French, German, Hindi, Italian, Japanese, Korean, Spanish, Telagu, Turkish)
  • 111,917 documents

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Native Language Identification italki NLI Tubasfs Average F1 0.5807 Fewer features perform well at Native Language... — 2 Compare

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 3. The Syntology column is from Syntology's graph (read 2026-09-25), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Fewer features perform well at Native Language Identification task 0 1 1 Sep 2017 not harvested
A study of N-gram and Embedding Representations for Native Language Identification 1 1 1 Sep 2017 not harvested

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • italki NLI

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections