datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
common_voice_9_zh-TW_simple-whisper-large-v3common_voice_9_zh-TW_simplesynthetic-spellingscb10x-thai-dialect-isan-dataset-thai-spellinggerman-spelling-datavi-spelling-correction
Vietnamese Spelling Correction Dataset
This dataset contains 978,417 pairs of noisy (source) and clean (target) Vietnamese sentences, designed for training spelling correction models.
The dataset was synthetically generated by injecting realistic noise into a clean Vietnamese corpus.
Dataset Structure
The dataset is divided into training and testing sets:
Train: 880,575 examples
Test: 97,842 examples
Data Fields
source: The text with injected errors (input).… See the full description on the dataset page: https://huggingface.co/datasets/coung21/vi-spelling-correction.spelling-correction-french-news
Spelling correction dataset (French)
This dataset is generated by transforming/corrupting sentences of a French news corpus
provided by the University of Leipzig.
The following transformations are applied to words in the sentences:
concatenation of pairs of words
swapping of neighboring letters in words
insertion
deletion
replacement (by neighboring characters in AZERTY keyboard)
Generation
./scripts/get_data.py -t news -y 2023 -s 10K
./scripts/generate_dataset.py… See the full description on the dataset page: https://huggingface.co/datasets/fdemelo/spelling-correction-french-news.tibetan-spelling-correction-dataset
Tibetan Spelling Correction
Sentence-level spelling correction pairs for Tibetan. Each row pairs an annotator's transcription of a manuscript page segment with the final reviewer's corrected version, from the double-annotation workflow of the BDRC Etext Corpus.
For training and evaluating post-correction models such as TiSpell.
Source batches: Ume 1-4, Uchen 1-4. 4,672 pages.
Contents
train
validation
test
All
error pairs
43,015
2,268
2,229
47,512… See the full description on the dataset page: https://huggingface.co/datasets/BDRC/tibetan-spelling-correction-dataset.spelling_datasetbert_spelling_dataset-v8distilbert_spelling_dataset-v2distilbert_spelling_dataset-v3distilbert_spelling_datasetazerbaijani_spelling_dictionary_2021This dataset contains words from the Spelling Dictionary of the Azerbaijani Language, 7th edition, which was published in 2021.
spelling-bee-human-difficulty
NYT Spelling Bee — Human Difficulty Dataset
Human solve-frequency data for 58 New York Times Spelling Bee puzzles (June–July 2025), sampled from 10,000 users per puzzle. Serves as ground truth for evaluating LLM orthographic constraint satisfaction.
Stat
Value
Puzzles
58
Date range
2025-06-02 to 2025-07-29
Total answer words
2,710
Words per puzzle
22–72 (mean 46.7)
Word length
4–13 characters
Users sampled per puzzle
10,000
Task
The NYT… See the full description on the dataset page: https://huggingface.co/datasets/redasers/spelling-bee-human-difficulty.spelling-bee-pangrams
Spelling Bee-style letter sets and their pangrams
Each row is one puzzle: 7 distinct letters (letters, alphabetical) and the list
of pangrams — words using all 7 letters. Nothing else.
Puzzles come from the dwyl/english-words words_alpha.txt word list (~370k
entries). Included: every 7-letter combination with at least one pangram and at
least 10 valid answers (words of 4+ letters using only the 7 letters).
Source: https://github.com/dwyl/english-words (words_alpha.txt)
bert_spelling_datasetbert_spelling_dataset-v5bert_spelling_dataset-v7khmer-spelling-corrections
Khmer Spelling Corrections
Naturally occurring Khmer misspellings paired with the word the writer meant.
The labels are not annotated, they are observed. Search sessions record the
whole typing trajectory toward a single word, so when a user types something,
fails, adjusts and lands on a real dictionary headword, the failed attempt and
the headword form a correction pair produced by a real person under no
instruction to make mistakes.
Only pairs within two edits of the target… See the full description on the dataset page: https://huggingface.co/datasets/seanghay/khmer-spelling-corrections.bert_spelling_dataset-v6azerbaijani_spelling_dictionary_2021This dataset contains words from the Spelling Dictionary of the Azerbaijani Language, 7th edition, which was published in 2021.
spelling-RLcorrect-incorrect-spelling-pairsThis is a dataset containing correct and incorrect spelling pairs in Gujarati, created by us using artificial noise.
Turkish-Spelling-DictionaryVietnamese_spelling_error
Vietnamese Spelling Error Dataset
This dataset contains examples of Vietnamese text with spelling errors and their corresponding corrections. It is intended to be used for training and evaluating models in spelling correction tasks, particularly for the Vietnamese language.
Dataset Summary
Name: Vietnamese Spelling Error Dataset
Language: Vietnamese
File Format: [CSV/Parquet/dataset/etc.]
Columns:
text: The corresponding corrected version of the text.
error_text: The… See the full description on the dataset page: https://huggingface.co/datasets/ShynBui/Vietnamese_spelling_error.nlp_vietnamese_spellingopenslr-sinhala-spelling-correction-prediction-reference-60000
OpenSLR Sinhala Spelling Correction – Prediction / Reference
This dataset contains Sinhala sentence pairs intended for training and evaluating
spelling-correction models on ASR output.
Column
Description
dyslexic_sentence
Noisy / dyslexic sentence (model input – ASR hypothesis)
clean_sentence
Clean / correct sentence (ground truth)
Splits
Split
Source file
Rows (approx.)
train
openslr-60000.csv
~60 000
eval
openslr-7000.csv
~7 000… See the full description on the dataset page: https://huggingface.co/datasets/SPEAK-PP/openslr-sinhala-spelling-correction-prediction-reference-60000.spelling-puzzlesazerbaijani_spelling
Dataset of Corrected Spelling Errors in Azerbaijani
Overview
This repository contains a dataset specifically curated for correcting spelling errors in the Azerbaijani language. The dataset consists of 84,000 text pairs, where each pair includes an original text and its corresponding corrected version. This dataset is designed to aid in the development and evaluation of machine learning models for spelling correction in Azerbaijani.
Dataset Structure
index:… See the full description on the dataset page: https://huggingface.co/datasets/LocalDoc/azerbaijani_spelling.