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audio
id
string
text
string
text_he
string
duration_s
float64
categories
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target_terms
list
prompt_id
string
prompt_source
string
prompt_origin
string
mode
string
edited
bool
device
string
microphone
string
environment
string
conditions
list
noise_level
null
background_speech_languages
list
noise_flags
list
clipped
bool
notes
null
hebrew_pronunciation
null
variant_groups
list
variant_spelling
null
task
string
spoken_text
null
aside_text
null
aside_position
null
verbatim_text
null
prompt_categories
list
source_prompt_id
string
prompt_kind
null
prompt_note
null
term_language
null
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20261020T132714Z_95ckqu
How could things have gotten so messed up?
How could things have gotten so messed up?
5.354
[ "singing" ]
[]
singing_p_b308ef0bbf
tatoeba:5849209
dataset
bank
false
OnePlus Nord 3 5G
internal
quiet-indoor
[]
null
[]
[]
false
null
null
[]
null
singing
null
null
null
null
[ "general" ]
p_b308ef0bbf
null
null
null
null
null
null
Daniel Rosehill
male
16,000
2026-10-20T13:27:14.570Z
20261020T132725Z_ax7ama
I would rather watch an exciting thriller.
I would rather watch an exciting thriller.
4.858
[ "singing" ]
[]
singing_p_0822ef8278
tatoeba:9131559
dataset
bank
false
OnePlus Nord 3 5G
internal
quiet-indoor
[]
null
[]
[]
false
null
null
[]
null
singing
null
null
null
null
[ "general" ]
p_0822ef8278
null
null
null
null
null
null
Daniel Rosehill
male
16,000
2026-10-20T13:27:25.057Z
20261020T132732Z_4wefi4
Running a bit behind, I'll be there in fifteen minutes!
Running a bit behind, I'll be there in fifteen minutes!
6.25
[ "singing" ]
[]
singing_p_ce5d25e981
generated:anthropic/claude-sonnet-5.5
generated
bank
false
OnePlus Nord 3 5G
internal
quiet-indoor
[]
null
[]
[]
false
null
null
[]
null
singing
null
null
null
null
[ "general", "message" ]
p_ce5d25e981
null
null
null
null
null
null
Daniel Rosehill
male
16,000
2026-10-20T13:27:32.057Z
20261020T132737Z_hxw61t
Get out the way ... they'll escape!
Get out the way ... they'll escape!
4.714
[ "singing" ]
[]
singing_p_e16a637c97
tatoeba:327230
dataset
bank
false
OnePlus Nord 3 5G
internal
quiet-indoor
[]
null
[]
[]
false
null
null
[]
null
singing
null
null
null
null
[ "general" ]
p_e16a637c97
null
null
null
null
null
null
Daniel Rosehill
male
16,000
2026-10-20T13:27:37.462Z
20261020T132742Z_96h1nr
May I ask you to call me back later?
May I ask you to call me back later?
4.77
[ "singing" ]
[]
singing_p_8abb119788
tatoeba:240121
dataset
bank
false
OnePlus Nord 3 5G
internal
quiet-indoor
[]
null
[]
[]
false
null
null
[]
null
singing
null
null
null
null
[ "general" ]
p_8abb119788
null
null
null
null
null
null
Daniel Rosehill
male
16,000
2026-10-20T13:27:42.845Z
20261020T132748Z_g93w1b
I'm not going to lie to you.
I'm not going to lie to you.
4.61
[ "singing" ]
[]
singing_p_3a61667ba7
tatoeba:2361884
dataset
bank
false
OnePlus Nord 3 5G
internal
quiet-indoor
[]
null
[]
[]
false
null
null
[]
null
singing
null
null
null
null
[ "general" ]
p_3a61667ba7
null
null
null
null
null
null
Daniel Rosehill
male
16,000
2026-10-20T13:27:48.220Z
20261020T132755Z_85rd1x
Would you be free for a coffee sometime next week, please?
Would you be free for a coffee sometime next week, please?
6.658
[ "singing" ]
[]
singing_p_2905aad4c3
generated:anthropic/claude-sonnet-5.5
generated
bank
false
OnePlus Nord 3 5G
internal
quiet-indoor
[]
null
[]
[]
false
null
null
[]
null
singing
null
null
null
null
[ "general", "email" ]
p_2905aad4c3
null
null
null
null
null
null
Daniel Rosehill
male
16,000
2026-10-20T13:27:55.605Z
20261020T132800Z_w7i28j
He told me I was wasting my time.
He told me I was wasting my time.
4.666
[ "singing" ]
[]
singing_p_88c6fdafa7
tatoeba:9477826
dataset
bank
false
OnePlus Nord 3 5G
internal
quiet-indoor
[]
null
[]
[]
false
null
null
[]
null
singing
null
null
null
null
[ "general" ]
p_88c6fdafa7
null
null
null
null
null
null
Daniel Rosehill
male
16,000
2026-10-20T13:28:00.932Z
20261020T132806Z_undyck
I need all the luck I can get.
I need all the luck I can get.
4.834
[ "singing" ]
[]
singing_p_42a83b4b8a
tatoeba:1153065
dataset
bank
false
OnePlus Nord 3 5G
internal
quiet-indoor
[]
null
[]
[]
false
null
null
[]
null
singing
null
null
null
null
[ "general" ]
p_42a83b4b8a
null
null
null
null
null
null
Daniel Rosehill
male
16,000
2026-10-20T13:28:06.472Z
20261020T132812Z_09a51o
I think it's time to do my homework.
I think it's time to do my homework.
5.498
[ "singing" ]
[]
singing_p_e1087c6dbc
tatoeba:1294987
dataset
bank
false
OnePlus Nord 3 5G
internal
quiet-indoor
[]
null
[]
[]
false
null
null
[]
null
singing
null
null
null
null
[ "general" ]
p_e1087c6dbc
null
null
null
null
null
null
Daniel Rosehill
male
16,000
2026-10-20T13:28:12.690Z
20261020T132820Z_75c9ay
Can you help me work out where I might have left my spare key, and what to do first?
Can you help me work out where I might have left my spare key, and what to do first?
6.874
[ "singing" ]
[]
singing_p_9bc178b628
generated:anthropic/claude-sonnet-5.5
generated
bank
false
OnePlus Nord 3 5G
internal
quiet-indoor
[]
null
[]
[]
false
null
null
[]
null
singing
null
null
null
null
[ "general", "message" ]
p_9bc178b628
null
null
null
null
null
null
Daniel Rosehill
male
16,000
2026-10-20T13:28:20.237Z
20261020T132832Z_3qj43t
The contract looks fine, so I'll sign it and send it back tonight.
The contract looks fine, so I'll sign it and send it back tonight.
6.562
[ "singing" ]
[]
singing_p_1f13779e5e
generated:anthropic/claude-sonnet-5.5
generated
bank
false
OnePlus Nord 3 5G
internal
quiet-indoor
[]
null
[]
[]
false
null
null
[]
null
singing
null
null
null
null
[ "general", "email" ]
p_1f13779e5e
null
null
null
null
null
null
Daniel Rosehill
male
16,000
2026-10-20T13:28:32.718Z
20261020T132839Z_bu4itt
Thanks to the amusement park built last year, the city has become popular.
Thanks to the amusement park built last year, the city has become popular.
6.322
[ "singing" ]
[]
singing_p_0ad9a90c68
tatoeba:19416
dataset
bank
false
OnePlus Nord 3 5G
internal
quiet-indoor
[]
null
[]
[]
false
null
null
[]
null
singing
null
null
null
null
[ "general" ]
p_0ad9a90c68
null
null
null
null
null
null
Daniel Rosehill
male
16,000
2026-10-20T13:28:39.794Z

Singing Sentences

Experimental. Short plain English sentences sung by one speaker, to any tune. text is the sentence as written, the transcript a robust recognizer should still give.

Website: hebrish.app: get the Hebrish keyboard for Android and the desktop apps, see the results, and find every model, dataset and demo in one place.

This is a subset of danielrosehill/Read-Aloud-Voice-Sentences, the full, undifferentiated dataset. It contains every phone recording there whose categories include singing (the capture app's task of that name). Rows are copied unchanged, with the same ids, columns and train/test split, by scripts/sync_subsets.py in the project repository. Do not edit this dataset directly: fix the row in the main dataset and re-sync. The subset grows as new takes are published.

Speaker: Daniel Rosehill, the dataset's author, who was born in Ireland and speaks English with an Irish accent, and who lives in Jerusalem. Every recording is his voice.

All audio was recorded on a OnePlus Nord 3 5G phone using its internal microphone, with browser echo cancellation, noise suppression and auto gain turned off.

Layout

data/train/audio/<id>.wav    16 kHz mono 16-bit PCM
data/train/metadata.jsonl
data/test/...                held-out set, never trained on

The test split is term-disjoint: a held-out term never appears in train. load_dataset("Hebrish/Singing-Sentences") works directly.

Columns

The columns are the same as in the main dataset: text (ground truth, punctuated and cased like Parakeet v2 output), text_he (the same transcript with its Hebrew terms in Hebrew script, for Hebrew-capable models), categories, target_terms, prompt_source, prompt_origin (manual / dataset / generated), edited, duration_s, environment, conditions, device, speaker, speaker_gender, hebrew_pronunciation, variant_groups, variant_spelling and recorded_at. The main dataset's card describes them.

Licence

CC-BY-4.0, with sentence-text attribution per prompt_source as described in the main dataset's licence section.

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