Datasets:

Tamazight
/

Numbers

Number int64 1 1M	English stringlengths 3 73	French stringlengths 2 73	Spanish stringlengths 3 69	Tamazight stringlengths 2 70
1	one	un	uno	ⵢⴰⵏ
2	two	deux	dos	ⵙⵉⵏ
3	three	trois	tres	ⴽⵕⴰⴹ
4	four	quatre	cuatro	ⴽⴽⵓⵥ
5	five	cinq	cinco	ⵙⵎⵎⵓⵙ
6	six	six	seis	ⵚⴹⵉⵚ
7	seven	sept	siete	ⵙⴰ
8	eight	huit	ocho	ⵜⴰⵎ
9	nine	neuf	nueve	ⵜⵥⴰ
10	ten	dix	diez	ⵎⵔⴰⵡ
11	eleven	onze	once	ⵢⴰⵏ ⴷ ⵎⵔⴰⵡ
12	twelve	douze	doce	ⵙⵉⵏ ⴷ ⵎⵔⴰⵡ
13	thirteen	treize	trece	ⴽⵕⴰⴹ ⴷ ⵎⵔⴰⵡ
14	fourteen	quatorze	catorce	ⴽⴽⵓⵥ ⴷ ⵎⵔⴰⵡ
15	fifteen	quinze	quince	ⵙⵎⵎⵓⵙ ⴷ ⵎⵔⴰⵡ
16	sixteen	seize	dieciséis	ⵚⴹⵉⵚ ⴷ ⵎⵔⴰⵡ
17	seventeen	dix-sept	diecisiete	ⵙⴰ ⴷ ⵎⵔⴰⵡ
18	eighteen	dix-huit	dieciocho	ⵜⴰⵎ ⴷ ⵎⵔⴰⵡ
19	nineteen	dix-neuf	diecinueve	ⵜⵥⴰ ⴷ ⵎⵔⴰⵡ
20	twenty	vingt	veinte	ⵙⵉⵎⵔⴰⵡ
21	twenty-one	vingt et un	veintiuno	ⵙⵉⵎⵔⴰⵡ ⴷ ⵢⴰⵏ
22	twenty-two	vingt-deux	veintidós	ⵙⵉⵎⵔⴰⵡ ⴷ ⵙⵉⵏ
23	twenty-three	vingt-trois	veintitrés	ⵙⵉⵎⵔⴰⵡ ⴷ ⴽⵕⴰⴹ
24	twenty-four	vingt-quatre	veinticuatro	ⵙⵉⵎⵔⴰⵡ ⴷ ⴽⴽⵓⵥ
25	twenty-five	vingt-cinq	veinticinco	ⵙⵉⵎⵔⴰⵡ ⴷ ⵙⵎⵎⵓⵙ
26	twenty-six	vingt-six	veintiséis	ⵙⵉⵎⵔⴰⵡ ⴷ ⵚⴹⵉⵚ
27	twenty-seven	vingt-sept	veintisiete	ⵙⵉⵎⵔⴰⵡ ⴷ ⵙⴰ
28	twenty-eight	vingt-huit	veintiocho	ⵙⵉⵎⵔⴰⵡ ⴷ ⵜⴰⵎ
29	twenty-nine	vingt-neuf	veintinueve	ⵙⵉⵎⵔⴰⵡ ⴷ ⵜⵥⴰ
30	thirty	trente	treinta	ⴽⵕⴰⵎⵔⴰⵡ
31	thirty-one	trente et un	treinta y uno	ⴽⵕⴰⵎⵔⴰⵡ ⴷ ⵢⴰⵏ
32	thirty-two	trente-deux	treinta y dos	ⴽⵕⴰⵎⵔⴰⵡ ⴷ ⵙⵉⵏ
33	thirty-three	trente-trois	treinta y tres	ⴽⵕⴰⵎⵔⴰⵡ ⴷ ⴽⵕⴰⴹ
34	thirty-four	trente-quatre	treinta y cuatro	ⴽⵕⴰⵎⵔⴰⵡ ⴷ ⴽⴽⵓⵥ
35	thirty-five	trente-cinq	treinta y cinco	ⴽⵕⴰⵎⵔⴰⵡ ⴷ ⵙⵎⵎⵓⵙ
36	thirty-six	trente-six	treinta y seis	ⴽⵕⴰⵎⵔⴰⵡ ⴷ ⵚⴹⵉⵚ
37	thirty-seven	trente-sept	treinta y siete	ⴽⵕⴰⵎⵔⴰⵡ ⴷ ⵙⴰ
38	thirty-eight	trente-huit	treinta y ocho	ⴽⵕⴰⵎⵔⴰⵡ ⴷ ⵜⴰⵎ
39	thirty-nine	trente-neuf	treinta y nueve	ⴽⵕⴰⵎⵔⴰⵡ ⴷ ⵜⵥⴰ
40	forty	quarante	cuarenta	ⴽⴽⵓⵥⵎⵔⴰⵡ
41	forty-one	quarante et un	cuarenta y uno	ⴽⴽⵓⵥⵎⵔⴰⵡ ⴷ ⵢⴰⵏ
42	forty-two	quarante-deux	cuarenta y dos	ⴽⴽⵓⵥⵎⵔⴰⵡ ⴷ ⵙⵉⵏ
43	forty-three	quarante-trois	cuarenta y tres	ⴽⴽⵓⵥⵎⵔⴰⵡ ⴷ ⴽⵕⴰⴹ
44	forty-four	quarante-quatre	cuarenta y cuatro	ⴽⴽⵓⵥⵎⵔⴰⵡ ⴷ ⴽⴽⵓⵥ
45	forty-five	quarante-cinq	cuarenta y cinco	ⴽⴽⵓⵥⵎⵔⴰⵡ ⴷ ⵙⵎⵎⵓⵙ
46	forty-six	quarante-six	cuarenta y seis	ⴽⴽⵓⵥⵎⵔⴰⵡ ⴷ ⵚⴹⵉⵚ
47	forty-seven	quarante-sept	cuarenta y siete	ⴽⴽⵓⵥⵎⵔⴰⵡ ⴷ ⵙⴰ
48	forty-eight	quarante-huit	cuarenta y ocho	ⴽⴽⵓⵥⵎⵔⴰⵡ ⴷ ⵜⴰⵎ
49	forty-nine	quarante-neuf	cuarenta y nueve	ⴽⴽⵓⵥⵎⵔⴰⵡ ⴷ ⵜⵥⴰ
50	fifty	cinquante	cincuenta	ⵙⵎⵎⵓⵎⵔⴰⵡ
51	fifty-one	cinquante et un	cincuenta y uno	ⵙⵎⵎⵓⵎⵔⴰⵡ ⴷ ⵢⴰⵏ
52	fifty-two	cinquante-deux	cincuenta y dos	ⵙⵎⵎⵓⵎⵔⴰⵡ ⴷ ⵙⵉⵏ
53	fifty-three	cinquante-trois	cincuenta y tres	ⵙⵎⵎⵓⵎⵔⴰⵡ ⴷ ⴽⵕⴰⴹ
54	fifty-four	cinquante-quatre	cincuenta y cuatro	ⵙⵎⵎⵓⵎⵔⴰⵡ ⴷ ⴽⴽⵓⵥ
55	fifty-five	cinquante-cinq	cincuenta y cinco	ⵙⵎⵎⵓⵎⵔⴰⵡ ⴷ ⵙⵎⵎⵓⵙ
56	fifty-six	cinquante-six	cincuenta y seis	ⵙⵎⵎⵓⵎⵔⴰⵡ ⴷ ⵚⴹⵉⵚ
57	fifty-seven	cinquante-sept	cincuenta y siete	ⵙⵎⵎⵓⵎⵔⴰⵡ ⴷ ⵙⴰ
58	fifty-eight	cinquante-huit	cincuenta y ocho	ⵙⵎⵎⵓⵎⵔⴰⵡ ⴷ ⵜⴰⵎ
59	fifty-nine	cinquante-neuf	cincuenta y nueve	ⵙⵎⵎⵓⵎⵔⴰⵡ ⴷ ⵜⵥⴰ
60	sixty	soixante	sesenta	ⵚⴹⵉⵎⵔⴰⵡ
61	sixty-one	soixante et un	sesenta y uno	ⵚⴹⵉⵎⵔⴰⵡ ⴷ ⵢⴰⵏ
62	sixty-two	soixante-deux	sesenta y dos	ⵚⴹⵉⵎⵔⴰⵡ ⴷ ⵙⵉⵏ
63	sixty-three	soixante-trois	sesenta y tres	ⵚⴹⵉⵎⵔⴰⵡ ⴷ ⴽⵕⴰⴹ
64	sixty-four	soixante-quatre	sesenta y cuatro	ⵚⴹⵉⵎⵔⴰⵡ ⴷ ⴽⴽⵓⵥ
65	sixty-five	soixante-cinq	sesenta y cinco	ⵚⴹⵉⵎⵔⴰⵡ ⴷ ⵙⵎⵎⵓⵙ
66	sixty-six	soixante-six	sesenta y seis	ⵚⴹⵉⵎⵔⴰⵡ ⴷ ⵚⴹⵉⵚ
67	sixty-seven	soixante-sept	sesenta y siete	ⵚⴹⵉⵎⵔⴰⵡ ⴷ ⵙⴰ
68	sixty-eight	soixante-huit	sesenta y ocho	ⵚⴹⵉⵎⵔⴰⵡ ⴷ ⵜⴰⵎ
69	sixty-nine	soixante-neuf	sesenta y nueve	ⵚⴹⵉⵎⵔⴰⵡ ⴷ ⵜⵥⴰ
70	seventy	soixante-dix	setenta	ⵙⴰⵎⵔⴰⵡ
71	seventy-one	soixante et onze	setenta y uno	ⵙⴰⵎⵔⴰⵡ ⴷ ⵢⴰⵏ
72	seventy-two	soixante-douze	setenta y dos	ⵙⴰⵎⵔⴰⵡ ⴷ ⵙⵉⵏ
73	seventy-three	soixante-treize	setenta y tres	ⵙⴰⵎⵔⴰⵡ ⴷ ⴽⵕⴰⴹ
74	seventy-four	soixante-quatorze	setenta y cuatro	ⵙⴰⵎⵔⴰⵡ ⴷ ⴽⴽⵓⵥ
75	seventy-five	soixante-quinze	setenta y cinco	ⵙⴰⵎⵔⴰⵡ ⴷ ⵙⵎⵎⵓⵙ
76	seventy-six	soixante-seize	setenta y seis	ⵙⴰⵎⵔⴰⵡ ⴷ ⵚⴹⵉⵚ
77	seventy-seven	soixante-dix-sept	setenta y siete	ⵙⴰⵎⵔⴰⵡ ⴷ ⵙⴰ
78	seventy-eight	soixante-dix-huit	setenta y ocho	ⵙⴰⵎⵔⴰⵡ ⴷ ⵜⴰⵎ
79	seventy-nine	soixante-dix-neuf	setenta y nueve	ⵙⴰⵎⵔⴰⵡ ⴷ ⵜⵥⴰ
80	eighty	quatre-vingts	ochenta	ⵜⴰⵎⵎⵔⴰⵡ
81	eighty-one	quatre-vingt-un	ochenta y uno	ⵜⴰⵎⵎⵔⴰⵡ ⴷ ⵢⴰⵏ
82	eighty-two	quatre-vingt-deux	ochenta y dos	ⵜⴰⵎⵎⵔⴰⵡ ⴷ ⵙⵉⵏ
83	eighty-three	quatre-vingt-trois	ochenta y tres	ⵜⴰⵎⵎⵔⴰⵡ ⴷ ⴽⵕⴰⴹ
84	eighty-four	quatre-vingt-quatre	ochenta y cuatro	ⵜⴰⵎⵎⵔⴰⵡ ⴷ ⴽⴽⵓⵥ
85	eighty-five	quatre-vingt-cinq	ochenta y cinco	ⵜⴰⵎⵎⵔⴰⵡ ⴷ ⵙⵎⵎⵓⵙ
86	eighty-six	quatre-vingt-six	ochenta y seis	ⵜⴰⵎⵎⵔⴰⵡ ⴷ ⵚⴹⵉⵚ
87	eighty-seven	quatre-vingt-sept	ochenta y siete	ⵜⴰⵎⵎⵔⴰⵡ ⴷ ⵙⴰ
88	eighty-eight	quatre-vingt-huit	ochenta y ocho	ⵜⴰⵎⵎⵔⴰⵡ ⴷ ⵜⴰⵎ
89	eighty-nine	quatre-vingt-neuf	ochenta y nueve	ⵜⴰⵎⵎⵔⴰⵡ ⴷ ⵜⵥⴰ
90	ninety	quatre-vingt-dix	noventa	ⵜⵥⴰⵎⵔⴰⵡ
91	ninety-one	quatre-vingt-onze	noventa y uno	ⵜⵥⴰⵎⵔⴰⵡ ⴷ ⵢⴰⵏ
92	ninety-two	quatre-vingt-douze	noventa y dos	ⵜⵥⴰⵎⵔⴰⵡ ⴷ ⵙⵉⵏ
93	ninety-three	quatre-vingt-treize	noventa y tres	ⵜⵥⴰⵎⵔⴰⵡ ⴷ ⴽⵕⴰⴹ
94	ninety-four	quatre-vingt-quatorze	noventa y cuatro	ⵜⵥⴰⵎⵔⴰⵡ ⴷ ⴽⴽⵓⵥ
95	ninety-five	quatre-vingt-quinze	noventa y cinco	ⵜⵥⴰⵎⵔⴰⵡ ⴷ ⵙⵎⵎⵓⵙ
96	ninety-six	quatre-vingt-seize	noventa y seis	ⵜⵥⴰⵎⵔⴰⵡ ⴷ ⵚⴹⵉⵚ
97	ninety-seven	quatre-vingt-dix-sept	noventa y siete	ⵜⵥⴰⵎⵔⴰⵡ ⴷ ⵙⴰ
98	ninety-eight	quatre-vingt-dix-huit	noventa y ocho	ⵜⵥⴰⵎⵔⴰⵡ ⴷ ⵜⴰⵎ
99	ninety-nine	quatre-vingt-dix-neuf	noventa y nueve	ⵜⵥⴰⵎⵔⴰⵡ ⴷ ⵜⵥⴰ
100	one hundred	cent	cien	ⵜⵉⵎⵉⴹⵉ

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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:

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())

Downloads last month: 27

Size of downloaded dataset files:

311 MB

Size of the auto-converted Parquet files:

44.8 MB

Number of rows:

1,000,000