Datasets:
audio dict | patient_id stringclasses 15
values | clip_id stringclasses 33
values | transcription stringlengths 64 1.3k | transcription_tagged stringlengths 83 1.87k | duration float64 7.67 101 | num_speech_segments int64 2 14 | cmi float64 0 50 | num_switch_points int64 0 75 | age float64 20 43 ⌀ | location stringclasses 14
values | accent stringclasses 3
values | language_profile stringclasses 2
values | phone_type stringclasses 15
values | recording_environment stringclasses 4
values | noise_level stringclasses 2
values | health_literacy stringclasses 13
values | consent_given bool 1
class | timestamp stringclasses 16
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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1... | P-011 | Q4 | ndine nhumbu asi ndukurwadziwa nemudumbu zvisingaite saka ndandichida kuziva kuti ndoita sei, ndomboshinga ndichiona ndiri pamba here kana kuti ndotomhanya kwachiremba | ndine nhumbu asi ndukurwadziwa nemudumbu zvisingaite saka ndandichida kuziva kuti ndoita sei, ndomboshinga ndichiona ndiri pamba here kana kuti ndotomhanya kwachiremba | 16.0465 | 3 | 0 | 0 | 35 | Masvingo | Harare (Zezuru) | Bilingual | Samsung M02 | Home | Quiet | Nutritionist | true | 2026-08-12 17:58:53.526 |
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1... | P-011 | Q27 | mwana wangu arikungochaya kubva paabva kuchikoro ende ndakutonetsekana kuti anogona kuita weak nekuva dehydrated zvino ndoita sei? salt and sugar solution yatinogadzira pamba inoshanda here? kana kuti ndofana kutonotenga tuma satchets ku pharmacy? | mwana wangu arikungochaya kubva paabva kuchikoro ende ndakutonetsekana kuti anogona kuita [[EN]]weak[[/EN]] nekuva [[EN]][[MED]]dehydrated[[/MED]][[/EN]] zvino ndoita sei? [[EN]][[MED]]salt and sugar solution[[/MED]][[/EN]] yatinogadzira pamba inoshanda here? kana kuti ndofana kutonotenga tuma [[EN]]satchets[[/EN]] ku ... | 25.3665 | 5 | 23.53 | 10 | 35 | Masvingo | Harare (Zezuru) | Bilingual | Samsung M02 | Home | Quiet | Nutritionist | true | 2026-08-13 12:21:38.258 |
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1... | P-011 | Q26 | mwana wangu ane 2 years arikupisa muviri zvisingaite kubvira nezuro manheru saka ndandichida kubvunza kuti ndoita sei zvinoita here kumupa paracet kana kuti ndofana kutoenda naye ku clinic | mwana wangu ane 2 [[EN]]years[[/EN]] arikupisa muviri zvisingaite kubvira nezuro manheru saka ndandichida kubvunza kuti ndoita sei zvinoita here kumupa [[EN]][[MED]]paracet[[/MED]][[/EN]] kana kuti ndofana kutoenda naye ku [[EN]]clinic[[/EN]] | 20.1265 | 6 | 10.71 | 5 | 35 | Masvingo | Harare (Zezuru) | Bilingual | Samsung M02 | Home | Quiet | Nutritionist | true | 2026-08-13 12:21:38.258 |
{"bytes":"T2dnUwACAAAAAAAAAAAAAAAAAAAAAEkq9qABE09wdXNIZWFkAQE4AYA+AAAAAABPZ2dTAAAAAAAAAAAAAAAAAAABAA(...TRUNCATED) | P-011 | Q5 | "ndine nhumbu asi ndaona pa pant pangu paine ropa saka ndandichida kuziva kuti ndoita sei? ndoenda k(...TRUNCATED) | "ndine nhumbu asi ndaona pa [[EN]]pant[[/EN]] pangu paine ropa saka ndandichida kuziva kuti ndoita s(...TRUNCATED) | 12.1665 | 3 | 5.56 | 2 | 35 | Masvingo | Harare (Zezuru) | Bilingual | Samsung M02 | Home | Quiet | Nutritionist | true | 2026-08-13 12:21:38.258 |
{"bytes":"T2dnUwACAAAAAAAAAAAAAAAAAAAAAEkq9qABE09wdXNIZWFkAQE4AYA+AAAAAABPZ2dTAAAAAAAAAAAAAAAAAAABAA(...TRUNCATED) | P-011 | Q7 | ndangomuka makumbo angu akazvimba zvisingaite apa ndine nhumbu ine 7 months] saka ndoita sei? | "ndangomuka makumbo angu akazvimba zvisingaite apa ndine nhumbu ine 7 [[EN]]months[[/EN]]] saka ndoi(...TRUNCATED) | 12.6465 | 3 | 6.67 | 2 | 35 | Masvingo | Harare (Zezuru) | Bilingual | Samsung M02 | Home | Quiet | Nutritionist | true | 2026-08-13 12:21:38.258 |
{"bytes":"T2dnUwACAAAAAAAAAAAAAAAAAAAAAEkq9qABE09wdXNIZWFkAQE4AYA+AAAAAABPZ2dTAAAAAAAAAAAAAAAAAAABAA(...TRUNCATED) | P-011 | Q18 | "shamwari yangu yakandiudza kuti kutariswa cancer muchibereko kunorwadza zvisingaite ichokwadi here (...TRUNCATED) | "shamwari yangu yakandiudza kuti kutariswa [[EN]][[MED]]cancer[[/MED]][[/EN]] muchibereko kunorwadza(...TRUNCATED) | 20.8465 | 5 | 4.55 | 2 | 35 | Masvingo | Harare (Zezuru) | Bilingual | Samsung M02 | Home | Quiet | Nutritionist | true | 2026-08-13 12:21:38.258 |
{"bytes":"T2dnUwACAAAAAAAAAAAAAAAAAAAAAEkq9qABE09wdXNIZWFkAQE4AYA+AAAAAABPZ2dTAAAAAAAAAAAAAAAAAAABAA(...TRUNCATED) | P-011 | Q24 | "handidi zvangu kuita mumwe mwana zvaizvezvi saka ndandichida kubvunza kuti ndedzipi nzira dzandinga(...TRUNCATED) | "handidi zvangu kuita mumwe mwana zvaizvezvi saka ndandichida kubvunza kuti ndedzipi nzira dzandinga(...TRUNCATED) | 14.3865 | 7 | 0 | 0 | 35 | Masvingo | Harare (Zezuru) | Bilingual | Samsung M02 | Home | Quiet | Nutritionist | true | 2026-08-13 12:21:38.258 |
{"bytes":"T2dnUwACAAAAAAAAAAAAAAAAAAAAAEkq9qABE09wdXNIZWFkAQE4AYA+AAAAAABPZ2dTAAAAAAAAAAAAAAAAAAABAA(...TRUNCATED) | P-011 | Q30 | "mucheche wangu arikurutsa zvisingaite kubvira kuseni nekungochema saka ndandichida kubvunza kuti nd(...TRUNCATED) | "mucheche wangu arikurutsa zvisingaite kubvira kuseni nekungochema saka ndandichida kubvunza kuti nd(...TRUNCATED) | 19.7065 | 5 | 0 | 0 | 35 | Masvingo | Harare (Zezuru) | Bilingual | Samsung M02 | Home | Quiet | Nutritionist | true | 2026-08-13 12:21:38.258 |
{"bytes":"T2dnUwACAAAAAAAAAAAAAAAAAAAAAEkq9qABE09wdXNIZWFkAQE4AYA+AAAAAABPZ2dTAAAAAAAAAAAAAAAAAAABAA(...TRUNCATED) | P-011 | Q31 | "pese pandinosangana nemudiwa wangu pabonde ndinosara ndonzwa kuswinyiwa uye nekuburitsa discharge i(...TRUNCATED) | "pese pandinosangana nemudiwa wangu pabonde ndinosara ndonzwa kuswinyiwa uye nekuburitsa [[EN]]disch(...TRUNCATED) | 32.1865 | 8 | 8.33 | 6 | 35 | Masvingo | Harare (Zezuru) | Bilingual | Samsung M02 | Home | Quiet | Nutritionist | true | 2026-08-13 12:21:38.258 |
{"bytes":"T2dnUwACAAAAAAAAAAAAAAAAAAAAAEkq9qABE09wdXNIZWFkAQE4AYA+AAAAAABPZ2dTAAAAAAAAAAAAAAAAAAABAA(...TRUNCATED) | P-011 | Q25 | "ndakabayiwa jadelle senzira yekudzivirira pamuviri asi ndakabva ndatanga kuenda kumwedzi mazuva aka(...TRUNCATED) | "ndakabayiwa [[EN]][[MED]]jadelle[[/EN]][[/MED]] senzira yekudzivirira pamuviri asi ndakabva ndatang(...TRUNCATED) | 31.6465 | 12 | 10.53 | 8 | 35 | Masvingo | Harare (Zezuru) | Bilingual | Samsung M02 | Home | Quiet | Nutritionist | true | 2026-08-13 12:21:38.258 |
End of preview. Expand in Data Studio
Zambezi ECHO v1: Shona-English Code-Switched Maternal Health Queries
Dataset Description
Zambezi ECHO v1 SESB (Shona-English Speech Benchmark) is a dataset of short, simulated patient voice queries in Shona (Zimbabwe), code-switched with English, covering common maternal and child health concerns — pregnancy symptoms, danger signs, child illness, and general health questions asked the way patients actually phrase them in the field, mixing Shona with English medical and everyday terms.
Unlike a full doctor-patient consultation benchmark, each clip is a single patient utterance or question, not a multi-turn dialogue: the unit here is "how does a patient actually ask this?" rather than a full visit.
It spans 15 speakers, most recorded with the same 31-prompt set, for 468 clips in total (~2.3 hours of audio). Speakers vary in accent (Zezuru, Chikaranga, Samanyika), language dominance (Shona-dominant vs. bilingual), age, location, phone type, and recording environment — reflecting realistic field-recording conditions rather than a studio setup.
- License: CC BY-NC-SA 4.0
- Clips: 468
- Speakers: 15
- Total duration: ~2.29 hours
- Split:
train(single split; see Notes)
Dataset Statistics
| Speaker | Accent | Profile | Clips | Avg. Duration | Hours | Avg. CMI | Avg. Switch Pts |
|---|---|---|---|---|---|---|---|
| P-001 | Harare (Zezuru) | Shona-dominant | 31 | 12.4s | 0.107 | 2.8 | 0.5 |
| P-002 | Masvingo (Chikaranga) | Shona-dominant | 33 | 17.2s | 0.157 | 35.2 | 9.1 |
| P-003 | Harare (Zezuru) | Bilingual | 31 | 24.4s | 0.210 | 11.5 | 5.3 |
| P-004 | Masvingo (Chikaranga) | Shona-dominant | 32 | 15.1s | 0.134 | 17.4 | 6.0 |
| P-005 | Mutare (Samanyika) | Shona-dominant | 31 | 18.0s | 0.155 | 6.4 | 2.5 |
| P-006 | Mutare (Samanyika) | Shona-dominant | 31 | 13.8s | 0.119 | 13.8 | 2.3 |
| P-007 | Masvingo (Chikaranga) | Bilingual | 31 | 23.3s | 0.200 | 9.2 | 2.4 |
| P-008 | Harare (Zezuru) | Shona-dominant | 31 | 16.3s | 0.140 | 17.2 | 4.3 |
| P-009 | Harare (Zezuru) | Shona-dominant | 31 | 19.9s | 0.171 | 23.3 | 5.3 |
| P-010 | Masvingo (Chikaranga) | Bilingual | 31 | 26.2s | 0.225 | 31.5 | 11.1 |
| P-011 | Harare (Zezuru) | Bilingual | 31 | 18.8s | 0.162 | 5.7 | 2.5 |
| P-012 | Harare (Zezuru) | Shona-dominant | 31 | 12.9s | 0.111 | 5.7 | 1.3 |
| P-013 | Masvingo (Chikaranga) | Shona-dominant | 31 | 14.3s | 0.123 | 7.9 | 1.8 |
| P-014 | Harare (Zezuru) | Shona-dominant | 31 | 17.3s | 0.149 | 4.8 | 1.8 |
| P-020 | Mutare (Samanyika) | Bilingual | 31 | 14.1s | 0.121 | 29.3 | 5.9 |
| Total | 468 | 2.29 | 14.9 (avg) |
CMI (Code-Mixing Index) and switch points are computed from the
[[EN]]/[[MED]] tag boundaries in the transcription (see Notes — this
is a heuristic, not the validated Das & Gambäck toolkit). 133 of 468
clips (28%) contain no English code-switching at all (Shona only); the
amount of code-switching varies substantially by speaker, from near-zero
(P-001, avg. CMI 2.8) to heavy mixing (P-002, avg. CMI 35.2).
Dataset Structure
Each example is one clip:
audio: the recorded utterance (mp3), HuggingFaceAudiofeaturepatient_id: anonymized speaker identifier (P-001 … P-020)clip_id: prompt identifier within that speaker's session (most speakers Q1–Q31; a couple of speakers recorded a small number of extra prompts)transcription: verbatim human transcription (plain text)transcription_tagged: same transcription with English spans wrapped in[[EN]]…[[/EN]], and medical terminology spans additionally wrapped in[[MED]]…[[/MED]](matching the AfriSwitchCare tagging convention)duration: clip duration in secondsnum_speech_segments: number of annotated speech regions in the clipcmi: approximate Code-Mixing Index (see Notes)num_switch_points: approximate count of language alternationsage: speaker age at recording timelocation: speaker's recorded location (town/suburb)accent: speaker's regional Shona accentlanguage_profile:BilingualorShona-dominantphone_type: device used to record (varies across speakers)recording_environment: e.g.Homenoise_level:Quiet/Moderate(session-level, may be blank where not recorded)health_literacy: speaker's self-reported health/medical background (e.g. nutritionist, data analyst, O-level biology)consent_given: recording consent flagtimestamp: recording timestamp
There is a single train split; most speakers recorded the same 31
prompts, so downstream users can carve out their own dev/test split by
speaker or by prompt as needed.
Dataset Creation
Source Data
Simulated patient voice queries recorded in the field across several Zimbabwean towns (Harare, Masvingo, Gweru, Mutare, Rusape, Bulawayo areas) and annotated in Label Studio with speech/noise region labels and verbatim transcriptions. English and medical-term spans were tagged inline by annotators as they transcribed. This release contains transcriptions and audio only.
Notes / Known Limitations
- CMI and switch points are approximate. They are computed
heuristically from the
[[EN]]/[[MED]]tag boundaries (word-count ratio and tag-transition count between the two), not from a validated code-switching toolkit like the one used for AfriSwitchCare (Das & Gambäck 2014 / Gambäck & Das 2016). Treat these fields as indicative rather than exact.
Licensing Information
Released under Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0).
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