datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
yoruba-normalization-pairs
Normalization pairs dataset
What this is
24,475 pairs of Yorùbá text, each a corrupted form next to its canonical form, labelled by corruption type. I built it for testing orthographic normalization code.
The library
This dataset was built alongside yotext, a Python library for Yorùbá orthographic normalization and diacritic restoration. The library is on PyPI at https://pypi.org/project/yotext/ and the source is at… See the full description on the dataset page: https://huggingface.co/datasets/adedejimakinde/yoruba-normalization-pairs.uk-text-normalization
Український TTS-нормалізатор — датасет
Пари «письмовий текст → як його вимовляють» для української. Числа, дати, час,
гроші, одиниці, скорочення, коди, телефони, IBAN, домени, пошта, римські
цифри, латинські вкраплення — те, що треба розгорнути словами перед синтезом
мовлення.
{"task_id": 0,
"combo_names": ["Кількісні числівники (написані цифрами)",
"Порядкові числівники (написані цифрами з закінченням)"],
"original": "На 1-й полиці стоять 4 книги."… See the full description on the dataset page: https://huggingface.co/datasets/skypro1111/uk-text-normalization.bangla-dialect-normalization
Bangla Dialect Normalization Dataset
A parallel corpus mapping standard Bangla to five regional Bangla dialects,
built from the Vashantor dataset. Each row contains the same sentence in
standard Bangla and Banglish (romanized), alongside its dialect Bangla and
dialect Banglish equivalent, plus an English gloss.
Regions covered
Barishal, Chittagong, Mymensingh, Noakhali, Sylhet
Schema
Field
Description
standard_bangla
Sentence in standard… See the full description on the dataset page: https://huggingface.co/datasets/zmsali/bangla-dialect-normalization.kyrgyz-text-normalization
Kyrgyz Text Normalization Dataset
A dataset for training and evaluating Kyrgyz text normalization systems. Released subset accompanying "Kyrgyz Text Normalization: A Comparative Study of Neural and Rule-Based Approaches" (MeLLM Workshop @ ACL 2026).
What is in this release
This is a representative 20,000-pair subset of a larger 1.67M-pair training corpus, plus the full 1,000-example human-verified test set used in the paper.
Split
Examples
Source
Verification… See the full description on the dataset page: https://huggingface.co/datasets/Zarinaaa/kyrgyz-text-normalization.prompts_for_tables_normalization_and_new_sqlsadaption-telugu-normalization
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-telugu_normalization
This dataset contains a collection of user queries and statements written in Telugu, covering diverse topics such as mobile troubleshooting, cyber security threats, insurance renewals, and emergency services. The samples vary from short keywords to detailed problem descriptions involving scams, natural disasters, and administrative procedures. It represents… See the full description on the dataset page: https://huggingface.co/datasets/Yasshhhh/adaption-telugu-normalization.normalization-data-mixed
Normalization Dataset (Mixed)
This dataset is a collection of 50000 rows originating from various sources:
Wikipedia - 20000 rows
PersonaChat truecased - 20000 rows
Synthetic edge case data - 5000 rows
Synthetic quoted text data - 5000 rows
The synthetic data has been generated using GPT-5.3 models.
The other data was sourced from the original Hugging Face sources.
This dataset can be used to train text normalizers that convert badly formatted English into correct English.… See the full description on the dataset page: https://huggingface.co/datasets/lunahr/normalization-data-mixed.normalization
TL;DR: Text Normalization for Social Media Corpus
Dataset Description
This dataset contains examples of Russian-language texts from social networks
with distorted spelling (typos, abbreviations, etc.) and their normalized versions
in json format. A detailed spelling correction protocol is given in the TBA article.
The dataset size is 1930 sentence pairs. In each pair, the sentences are tokenized
by words, and the lengths of both sentences in the pair are equal. If a… See the full description on the dataset page: https://huggingface.co/datasets/ruscorpora/normalization.