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YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Ukrainian ITN Dataset
~889k sentence pairs for Ukrainian Inverse Text Normalization (ITN).
Spoken-form → Written-form pairs generated from skypro1111/ubertext-2-news-verbalized using LLM-assisted annotation.
Columns
spoken: verbalized Ukrainian text (input for ITN)written: normalized text with digits, symbols, abbreviations
Example
| spoken | written |
|---|---|
| сорок два відсотки населення | 42% населення |
| пʼятнадцять доларів і двадцять центів | $15.20 |
| двадцять третього лютого дві тисячі двадцять четвертого року | 23 лютого 2024 |
| температура мінус сімнадцять градусів | температура -17 градусів |
Usage
from datasets import load_dataset
ds = load_dataset("Mikhailo/ubertext-itn-uk")
print(ds["train"][0])
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