| --- |
| language: |
| - en |
| - fr |
| - es |
| - zgh |
| - ber |
| - tzm |
| license: apache-2.0 |
| task_categories: |
| - text-generation |
| pretty_name: Tamazight Numbers Dataset |
| tags: |
| - numbers |
| - translation |
| - multilingual |
| --- |
| |
| # Tamazight Numbers Dataset |
|
|
| ## Dataset Description |
|
|
| This dataset contains numbers from **1 to 1,000,000** translated into: |
| - **English**. |
| - **French**. |
| - **Spanish**. |
| - **Tamazight (Berber)**. |
|
|
| The dataset is designed to assist researchers and developers in building machine learning models for understanding and converting numbers into words in multiple languages. |
|
|
| ## Dataset Structure |
|
|
| The dataset contains the following columns: |
|
|
| | Column | Description | Example | |
| |------------|---------------------------------|-----------------| |
| | Number | The numeric representation | 1 | |
| | English | English translation of the number | one | |
| | French | French translation of the number | un | |
| | Spanish | Spanish translation of the number | uno | |
| | Tamazight | Tamazight translation of the number | ⵢⴰⵏ | |
|
|
| ## How to Use the Dataset |
|
|
| This dataset can be used to train machine learning models for: |
| - Converting numbers to words. |
| - Translating between languages. |
| - Understanding linguistic structures of numbers. |
|
|
| ### Example: |
|
|
| ```python |
| import pandas as pd |
| |
| # Load the dataset |
| df = pd.read_csv("Numbers: Multilingual - Tamazight (1 to 1M).tsv", sep="\t") |
| |
| # Display the first 5 rows |
| print(df.head()) |