Numb3rs - Numbers Speech Benchmark (Dataset)

A speech dataset for text normalization (TN) and inverse text normalization (ITN) tasks, containing paired written/spoken forms with corresponding synthetic audio.

Dataset Creation

This dataset was created through the following pipeline:

1. Source Data: Text normalization pairs were derived from the Google Text Normalization dataset, containing written forms (e.g., "$100") and their spoken equivalents (e.g., "one hundred dollars").

2. Audio Generation: Audio was synthesized using Magpie TTS (NVIDIA's expressive multilingual text-to-speech model), with utterances distributed across 6 predefined voices to ensure speaker diversity.

3. Human Verification: All generated samples were manually verified by human annotators. Only entities that passed quality review were retained in the final dataset.

Dataset Statistics

Category	Samples	Total Duration	Avg Duration	Description
ADDRESS	885	18.7 min	1.26s	Highway/road identifiers (e.g., "A6" → "a six")
CARDINAL	780	14.5 min	1.11s	Cardinal numbers (e.g., "42" → "forty two")
DATE	977	30.6 min	1.88s	Date expressions (e.g., "Jan 1, 2020" → "january first twenty twenty")
DECIMAL	928	24.9 min	1.61s	Decimal numbers (e.g., "3.14" → "three point one four")
DIGIT	771	17.8 min	1.39s	Digit sequences (e.g., "123" → "one two three")
FRACTION	884	23.4 min	1.59s	Fractional values (e.g., "1/2" → "one half")
MEASURE	914	27.7 min	1.82s	Measurements (e.g., "5 kg" → "five kilograms")
MONEY	775	26.8 min	2.07s	Currency amounts (e.g., "$100" → "one hundred dollars")
ORDINAL	957	14.3 min	0.90s	Ordinal numbers (e.g., "1st" → "first")
PLAIN	377	9.6 min	1.52s	Plain number words
TELEPHONE	936	61.3 min	3.93s	Phone numbers
TIME	947	24.1 min	1.53s	Time expressions (e.g., "3:00 PM" → "three o'clock p m")
TOTAL	10,131	4.89h	1.74s

Usage

from datasets import load_dataset

dataset = load_dataset("NNstuff/Numb3rs")

Metadata Schema

Field	Type	Description
file_name	string	Relative path to audio file
name	string	Original sample identifier
duration	float	Audio duration in seconds
category	string	Category name (e.g., "MONEY", "DATE")
original_text	string	Written form (TN input)
text	string	Spoken form (ITN input)
lang	string	Language code ("en")

License

CC-BY-SA-4.0