SpiceeChat/Genre-Classifier-Country-Per-Country

Name Dataset — Gender Classifier Parquet

Parquet conversion of philipperemy/name-dataset for first-name gender classification.

Source

• Original repository: https://github.com/philipperemy/name-dataset
• Original archive: name_dataset.zip
• Original CSV format: first_name,last_name,gender,country_code
• Converted format: first_name,gender
• One Hugging Face config/subset per country code.

Cleaning

Rows are removed when:

• first_name is null, empty, or whitespace-only
• gender is null, empty, or whitespace-only

Dataset structure

Each subset contains one split:

train

Columns:

first_name: string
gender: string

Conversion summary

• Parquet compression: zstd
• Converted subsets: 105
• Failed subsets: 0
• Total kept rows: 398 257 282
• Total dropped rows: 93 398 643

Subsets

Config	File	Kept rows	Dropped rows	Size
AE	AE.parquet	6 632 394	160 379	31.22 MB
AF	AF.parquet	493 392	64 935	2.28 MB
AL	AL.parquet	474 766	31 816	1.22 MB
AO	AO.parquet	466 139	42 612	2.97 MB
AR	AR.parquet	2 275 941	63 294	7.13 MB
AT	AT.parquet	1 162 065	87 230	2.87 MB
AZ	AZ.parquet	90 490	8 965	245.89 KB
BD	BD.parquet	3 419 547	373 778	15.60 MB
BE	BE.parquet	2 935 085	248 004	9.32 MB
BF	BF.parquet	5 582	831	25.33 KB
BG	BG.parquet	405 584	26 332	1.03 MB
BH	BH.parquet	4	1 416 043	786 B
BI	BI.parquet	13 968	1 739	63.91 KB
BN	BN.parquet	199 366	14 197	906.87 KB
BO	BO.parquet	2 627 499	325 656	9.33 MB
BR	BR.parquet	7 769 246	284 587	29.44 MB
BW	BW.parquet	235 643	4 941	1.07 MB
CA	CA.parquet	2 970 593	522 139	10.24 MB
CH	CH.parquet	1 434 446	157 426	4.88 MB
CL	CL.parquet	6 492 798	395 551	22.69 MB
CM	CM.parquet	1 974 466	23 086	9.08 MB
CN	CN.parquet	596 322	29 276	2.31 MB
CO	CO.parquet	17 252 297	705 193	62.55 MB
CR	CR.parquet	1 400 685	63 188	4.14 MB
CY	CY.parquet	107 788	11 198	361.46 KB
CZ	CZ.parquet	1 281 311	94 629	2.48 MB
DE	DE.parquet	5 661 086	392 521	14.64 MB
DJ	DJ.parquet	12 385	1 934	65.20 KB
DK	DK.parquet	560 269	79 526	1.53 MB
DZ	DZ.parquet	31	11 478 324	1.99 KB
EC	EC.parquet	281 448	36 005	891.07 KB
EE	EE.parquet	81 711	5 818	208.43 KB
EG	EG.parquet	44 145 642	1 021 565	60.46 MB
ES	ES.parquet	10 353 581	537 630	27.51 MB
ET	ET.parquet	11 130	1 622	60.70 KB
FI	FI.parquet	1 208 982	172 444	2.83 MB
FJ	FJ.parquet	4 326	1 036	22.91 KB
FR	FR.parquet	18 145 306	1 699 758	58.28 MB
GB	GB.parquet	10 250 723	1 268 505	25.37 MB
GE	GE.parquet	85 551	8 425	247.42 KB
GH	GH.parquet	869 033	158 862	3.28 MB
GR	GR.parquet	556 225	61 356	1.77 MB
GT	GT.parquet	1 414 758	230 261	5.05 MB
HK	HK.parquet	2 617 619	229 210	10.55 MB
HN	HN.parquet	12 865	2 962	50.45 KB
HR	HR.parquet	599 220	59 875	1.19 MB
HT	HT.parquet	13 785	1 622	73.94 KB
HU	HU.parquet	347 343	29 627	882.46 KB
ID	ID.parquet	115 336	14 931	469.04 KB
IE	IE.parquet	1 307 668	141 860	2.86 MB
IL	IL.parquet	3 751 051	204 930	13.22 MB
IN	IN.parquet	6 106 112	55 479	25.36 MB
IQ	IQ.parquet	16 633 966	186 717	26.21 MB
IR	IR.parquet	2 937 558	119 837	6.65 MB
IS	IS.parquet	26 508	4 835	91.22 KB
IT	IT.parquet	33 792 268	1 762 089	81.06 MB
JM	JM.parquet	355 772	30 073	1.13 MB
JO	JO.parquet	3 033 613	72 117	12.03 MB
JP	JP.parquet	392 434	34 274	1.35 MB
KH	KH.parquet	2 274	485	14.27 KB
KR	KR.parquet	115 838	3 967	362.45 KB
KW	KW.parquet	3 518 657	122 907	6.93 MB
KZ	KZ.parquet	3 174 836	38 143	11.36 MB
LB	LB.parquet	2	1 819 896	701 B
LT	LT.parquet	204 043	16 099	448.19 KB
LU	LU.parquet	171 250	16 820	525.13 KB
LY	LY.parquet	11	4 195 507	1.13 KB
MA	MA.parquet	40 034	17 416 911	39.76 KB
MD	MD.parquet	41 928	4 300	110.33 KB
MO	MO.parquet	378 160	19 820	1.48 MB
MT	MT.parquet	108 052	7 258	319.97 KB
MU	MU.parquet	799 279	49 223	2.72 MB
MV	MV.parquet	82 023	4 290	335.53 KB
MX	MX.parquet	12 930 995	399 224	41.45 MB
MY	MY.parquet	11 146 873	462 259	51.69 MB
NA	NA.parquet	395 677	13 600	1.82 MB
NG	NG.parquet	8 762 771	237 018	37.64 MB
NL	NL.parquet	5 121 203	307 955	14.48 MB
NO	NO.parquet	409 282	66 500	1.24 MB
OM	OM.parquet	4 952 758	95 189	8.67 MB
PA	PA.parquet	1 453 705	47 996	5.08 MB
PE	PE.parquet	7 850 726	224 200	31.65 MB
PH	PH.parquet	840 680	56 814	3.78 MB
PL	PL.parquet	2 547 684	121 618	4.41 MB
PR	PR.parquet	126 284	11 896	378.17 KB
PS	PS.parquet	3 228 830	138 075	4.26 MB
PT	PT.parquet	2 118 373	158 851	4.98 MB
QA	QA.parquet	2 468 668	84 954	4.66 MB
RS	RS.parquet	147 097	15 776	371.71 KB
RU	RU.parquet	9 849 944	142 742	24.36 MB
SA	SA.parquet	28 340 308	460 245	51.85 MB
SD	SD.parquet	9 370 894	92 302	61.54 MB
SE	SE.parquet	958 076	134 020	2.22 MB
SG	SG.parquet	2 829 254	206 594	12.80 MB
SI	SI.parquet	207 295	21 739	541.61 KB
SV	SV.parquet	3 763	716	16.34 KB
SY	SY.parquet	9	6 924 142	1.43 KB
TM	TM.parquet	16 061	215	61.73 KB
TN	TN.parquet	14	6 229 547	1.16 KB
TR	TR.parquet	9	19 458 325	1.73 KB
TW	TW.parquet	640 170	65 902	3.08 MB
US	US.parquet	29 278 534	3 030 439	95.24 MB
UY	UY.parquet	1 456 027	53 262	3.70 MB
YE	YE.parquet	8	4 600 715	1.12 KB
ZA	ZA.parquet	13 766 201	557 132	67.59 MB

Citation

@misc{NameDataset2021,
  author = {Philippe Remy},
  title = {Name Dataset},
  year = {2021},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/philipperemy/name-dataset}},
}

Legal / privacy note

The original dataset states that each record is a real person. This converted version removes last_name and keeps only first_name and gender for classifier training.