Dataset Viewer
Auto-converted to Parquet Duplicate
audio
audioduration (s)
1.74
11.3
text
stringlengths
23
108
language
stringclasses
1 value
nee ga bhagan maha dudo
Nyishi
dukan pogu kapa pah nimey bag ka kamdong niga kakam dong pah ejii kam dong pah
Nyishi
hogah jive painting mana post pilai pah pa
Nyishi
huga mla lah khade ne sil jena kade akim jabu donpa
Nyishi
eleka kam dopah hogha pool ge koyu bhe shane dupha shan gah koyo gare aku kam dopha
Nyishi
ho building lagaya ho fulo bo gare aniy kapa doh
Nyishi
hogah lachi dachay la hogah kokang bah sanne koi koi bu duneya pah
Nyishi
heh labik tasi haku aku do pah
Nyishi
dolom augum namang ga nalap gu dopa
Nyishi
neyme aiyang gu doh pah neygah oom gu do pah
Nyishi
doneya pah yapong yalang tala ho
Nyishi
soh photo soh api ga dhane kapa du
Nyishi
sign board ga nalap gu kapa do
Nyishi
mineral iss hekam kap pah do chips hekam kapa doh
Nyishi
hogah sole ley soh se chair soh seh table ahii neymi neyga pyana sa seh akim tapa pah
Nyishi
langchii ajii gabu kayah ejii dong pah panglu dong pah
Nyishi
huga sih bag jibu bvgu bupa pah kyaya jibu bupa pah
Nyishi
soh seh khobi bagan ga photo pah
Nyishi
huhh dvnv anyi pvsi dopah pah dvnv akoh bvh aguh gvh bayar bvh dopah pah akunv nyvga gvh dopah pah
Nyishi
photo soh akim ja ful podo kopo pah
Nyishi
hoh adoh aloh akuh building yari yadda nah dolah aoum apih bvh kungpvh pah
Nyishi
gate bvsi poster bvh welcome to india favorite branded school lipa pah
Nyishi
hoh photo soh nee alon heh futsal ongrung football kili ya dong
Nyishi
bike aniy guh yakiya colour bu parking mapeh pah hara scooty yapong colour bu park mapeh pah
Nyishi
sogah nakne basoh baseh roga da bera nekne pah bangne akim wah doga
Nyishi
mulu voka pah table seh langchii table puh gah aho table pa pah
Nyishi
agu porek ja bu kapa pah
Nyishi
larh baso basih poni kapa pah ahlo leh katalam poni ku kapa pahh
Nyishi
soh bvsi dosa tvngsa soh dvnge karkv tianka mianka pah pah
Nyishi
baso baseh one two kepa pah room room bah roomsa rombiya one two three kibiya pa pah
Nyishi
seh ne poni guh kapa pah gangi takio polu aji kotala
Nyishi
gare lambi bah nee ham darang jaka bike scooty ang beh dong gare puk gu dong pah yapong yalang pugu dong pah
Nyishi
mandir pogu kapa pah mandir arang beh nee heh rinjah dapeh pah ful heh tin beh pah aho beh kam pah peh pah
Nyishi
photo dungpah sangne negu dungpah
Nyishi
wall heh aniya aniya beh dong gii pah wall ham beh niga pogu sapah dongi doh
Nyishi
soh room ho tv peh aku do pah
Nyishi
kan gah miyan ming hah blooming lovely british rose
Nyishi
aru hoga bvr ek scooty pvkum pvpa aur scooty bvnv bvngni chala dungpah
Nyishi
hogah barah table kopo pah table awoh kah akim tapa pah
Nyishi
photo seh ni gu kano kichi gu pah
Nyishi
soh seh aku room ongrung ga photo gu pah
Nyishi
restaurant unkoh bvh flower bvh plant pot akiaum goh tungbia tunglah pah pah
Nyishi
sopping mall bahar heh parking zoon anam heh sign board kam tepe pah
Nyishi
harah soh photo soh harah ahsa ahsa esporti kam equipment hakeh kam kapah pah
Nyishi
toh niy aku kapa pah hara soh photo soh ahsa ahsa building ahguim kapa pah
Nyishi
hah soh photo soh yajhi buh ak ariab kapah pah hara soh photo yaling buh chair kapah pah
Nyishi
photo seh luwah reling aku do pah
Nyishi
hugvh building gvh bhar hoh akium jah tata mobile gari haryah pah
Nyishi
gari pigvnv gah bvghi karki lvguh lvguh kuyung karki kulih pah
Nyishi
pada seh kitap aru bags do pah
Nyishi
nampam gu kapa pah nampam bah eh rabiya nam heh daran jeja ronpeh
Nyishi
ho dukan aura ho cake kam do pah
Nyishi
aso asi tv pugu papa sodung mapa
Nyishi
loha hakam dopa light hakam dopa
Nyishi
bangne neyga pogu eji langchii langchii kobu dongpa
Nyishi

Nyishi ASR Dataset (njz)

Speech dataset for Nyishi (njz), a language spoken in Arunachal Pradesh, India.

Dataset Description

This dataset contains audio recordings paired with text transcriptions for training and evaluating automatic speech recognition (ASR) systems for Nyishi.

Source

Derived from the ARTPARK-IISc Vaani project (https://vaani.iisc.ac.in/)

Dataset Statistics

Split Samples
train 55
validation 5
test 22

Format

  • Audio: 16kHz mono WAV
  • Text: Transcriptions in Latin/Roman script

Dataset Structure

Each sample contains:

  • audio: Audio recording (16kHz, mono)
  • transcript: Text transcription

License

CC-BY-4.0 (Creative Commons Attribution 4.0 International)

Downloads last month
88

Models trained or fine-tuned on sulabhkatiyar/ne-asr-njz