Dataset Viewer
Auto-converted to Parquet
term_id
stringlengths
32
32
term
stringlengths
2
49
concept_id
stringlengths
6
18
is_abbreviation
bool
2 classes
is_core_concept
bool
2 classes
language
stringclasses
8 values
script
stringclasses
13 values
is_active
bool
1 class
version
stringclasses
1 value
dbad865fe213d965d46250229b374395
behavioural abnormality
25786006
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
f1c00ef59cd792f52ab1fbb68731d45c
ಎದೆ ಅಸೌಕರ್ಯ
279084009
false
true
kn
Kannada
true
snomedct_internationalrf2_production_20250401
01e61e5fd7f83670557f9d440c47cd1f
இருமல்
49727002
false
true
ta
Tamil
true
snomedct_internationalrf2_production_20250401
dafcf60bc05c66eef03a6b2967368a3e
टखने में दर्द
247373008
false
true
hi
devanagri
true
snomedct_internationalrf2_production_20250401
c23f652c33c05ca07b56869c3dad557e
காய்ச்சல் சளி
135882008
false
false
ta
Tamil
true
snomedct_internationalrf2_production_20250401
dc603b8e995b90ed69618efc957538c1
lid swelling
193967004
false
true
en
roman
true
snomedct_internationalrf2_production_20250401
506402b2aa42e459460506373e830ed5
सामान्य शरीरदुखी
82991003
false
true
mr
Devanagari
true
snomedct_internationalrf2_production_20250401
be0abe16f072595e0c0e48eeae04d363
maluniting fracture
425852005
false
true
en
roman
true
snomedct_internationalrf2_production_20250401
6fe1ff28a53962e9598683595f35cf41
lt foot
239919000
true
false
en
roman
true
snomedct_internationalrf2_production_20250401
41badcdcd6caacd7f32ac3558ae173bf
ischemic changes
52674009
false
true
en
roman
true
snomedct_internationalrf2_production_20250401
c19a5c3628d86633a40e23c78d4ff67d
uncomfortable
247347003
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
c834efb8406254640d282ec9931c8714
reddish skin lesions
822962003
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
f0097acd076c09ea073173d0428686a4
ఉదయం పూట బిగుసుకుపోవడం
40144003
false
false
te
Telugu
true
snomedct_internationalrf2_production_20250401
aa1797bdcdd6ed483593f0d26b670906
rhinusnusitis
897656009
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
91155109324743a7c68109d9e3544298
sleep decreased
248256006
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
335b6bd3ff05fae3ef86cb7a4f2eb132
fracture distal femur
263232003
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
5dc5395ea9519e1533c07df024a0dc62
epididymo orchitis
197983000
false
true
en
roman
true
snomedct_internationalrf2_production_20250401
f83ac2083b48865b515495c2494ccc98
lba
279039007
true
true
en
roman
true
snomedct_internationalrf2_production_20250401
1ba8e45fe363bda0787b493b2935ea74
prolacting secreting pituitary microadenoma
253010003
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
7c1dc91629afef3369fc77b119a2e24d
mps
11380006
true
false
en
roman
true
snomedct_internationalrf2_production_20250401
b3d5be3ecf9a613e3d2a91562cd0315c
injury to left ankle
11853851000119104
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
872dfe48ef53c5ef020ba40ae62b2792
മാസമുറ വരാതിരിക്കുക
14302001
false
true
ml
Malayalam
true
snomedct_internationalrf2_production_20250401
142e3a49afdd38f456f32455c9d6d432
diabetes on oha
170746002
true
false
en
roman
true
snomedct_internationalrf2_production_20250401
1f5f735d9940577cb24c089c63301756
सतत दुखतंय
22253000
false
true
mr
marathi
true
snomedct_internationalrf2_production_20250401
3963b4a1753a0cfb97b30918caddeb57
reddish rash
827160004
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
9c2c3deecc8f17f466c69fa3a893efcd
vomting
300359004
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
9dd26798b0c028505e1d1d1a5ebe860b
പനി
386661006
false
true
ml
Malayalam
true
snomedct_internationalrf2_production_20250401
dbf9136ed6b958f5f2917b7232133eae
ruq pain
301717006
true
true
en
roman
true
snomedct_internationalrf2_production_20250401
e9ac5de9fe9c36b45fc9d370aa420197
foot deformity
229844004
false
true
en
roman
true
snomedct_internationalrf2_production_20250401
eec1cde8b3010cf573508b241b12b273
difficulty in passing urine
102835006
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
985d8846af615db9aa887c3b423ad4ba
sorethroat
267102003
false
true
en
roman
true
snomedct_internationalrf2_production_20250401
306b7d1cee485e2098b89f6bb44999c6
graves��� disease
353295004
false
true
en
roman
true
snomedct_internationalrf2_production_20250401
a52577d6bbcf7d3a7986bd4094f84773
ठंड के साथ बुखार
274640006
false
false
hi
devanagri
true
snomedct_internationalrf2_production_20250401
8f4fd47b8d6d2bb51b997a83c9ba0620
शिंक
76067001
false
false
mr
Devanagari
true
snomedct_internationalrf2_production_20250401
7919ef2e3578d0eacaf66ae140a9a864
apetite normal
161825005
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
b4ea264297739cefd7d5450a75f76997
wheals
247472004
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
56a2786f18cff646996c934231e017a3
pain left leg
287047008
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
4741b33bbbcf6dada9bb2ed76a4f22df
stent in lad
216621000119100
true
false
en
roman
true
snomedct_internationalrf2_production_20250401
9f6e5e02aef2a12c0830d2a18bf6c33c
ckd stage iv
431857002
true
true
en
roman
true
snomedct_internationalrf2_production_20250401
c14deaf01438ceda788aa5ef46a9a787
coronary angio
33367005
true
false
en
roman
true
snomedct_internationalrf2_production_20250401
66bbcde801bc900fd6713d7173fddf3c
perineal pruritis
281639001
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
01dcad00c3738df16a6a36af3cfd5c1a
fracture shaft femur
54441004
false
true
en
roman
true
snomedct_internationalrf2_production_20250401
6b8f31f236789aaf06815e3f55cb01c5
तीव्र संपूर्ण अंगदुखी
102480002
false
false
mr
Devanagari
true
snomedct_internationalrf2_production_20250401
facebe4817da44b8a59f7f9f3c0c029c
pubic rami
182026003
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
cd599fc9dbe9a93c3e98433cb7b67a45
पोटात मुरडा
51197009
false
false
mr
Devanagari
true
snomedct_internationalrf2_production_20250401
2dfaf1ea86b80625dad70df9bac67085
hyper acidity
61627001
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
b17035a5e320ff4e92a3166f1a485e21
bariatric surgery
430715008
false
true
en
roman
true
snomedct_internationalrf2_production_20250401
67bcfad0a6b0a301e88eb3c81db4501a
no loc
428913001
true
false
en
roman
true
snomedct_internationalrf2_production_20250401
27bf013d8806621119ae629636a05a82
pain in rt arm
287046004
true
false
en
roman
true
snomedct_internationalrf2_production_20250401
574fb294bffac3cec4dc4f18739b0eef
ರಾತ್ರಿ ರಾತ್ರಿ ಮಲಮೂತ್ರ ಬೇಕಾಗ್ತಾ ಇದೆ
139394000
false
true
kn
Kannada
true
snomedct_internationalrf2_production_20250401
02ce317fb60f862e5c84056c6dfd5ebc
cad tvd
233817007
true
true
en
roman
true
snomedct_internationalrf2_production_20250401
d1aa6baecb092d0b5f80918866719062
മലം പോവുമ്പോൾ വേദനിക്കുന്നു
225595004
false
false
ml
malayalam
true
snomedct_internationalrf2_production_20250401
b572dffae2f981ee48005361f9e74310
മൂത്രമൊഴിക്കുമ്പോൾ വേദന
49650001
false
true
ml
Malayalam
true
snomedct_internationalrf2_production_20250401
5116e2338e6ef14640c1c6f4375e9332
paiin
22253000
false
true
en
roman
true
snomedct_internationalrf2_production_20250401
cb11f37fdea466ab67ba658a8c35cbba
ఏ ఫిర్యాదులు లేవు
248264000
false
false
te
Telugu
true
snomedct_internationalrf2_production_20250401
7e86746054b80e0890fdf834558d7a6c
low sugars
51798006
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
3ca61c68215fbe9ea81e5405479ba409
swelling reduced
183328002
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
a0b008371f1221de4499edfaf11fa961
അസ്വാസ്ഥ്യം
367391008
false
true
ml
Malayalam
true
snomedct_internationalrf2_production_20250401
585a004fbe64e32c0a73909298be6957
വിശപ്പ് കുറയൽ
64379006
false
false
ml
Malayalam
true
snomedct_internationalrf2_production_20250401
6af8cc254bb8813af17888fd4fc17e32
red eyes
703630003
false
true
en
roman
true
snomedct_internationalrf2_production_20250401
85cf136220b1219c1c26035ea0348f38
കാഴ്ച് കുറയുന്നു
225581002
false
false
ml
malayalam
true
snomedct_internationalrf2_production_20250401
681708c7beffecc449ca31f669fb0a64
ఎక్కువ మూత్రం రావడం
28442001
false
true
te
Telugu
true
snomedct_internationalrf2_production_20250401
4d4d9b482f3fef44bfa66b97138c6519
ptca
41339005
true
true
en
roman
true
snomedct_internationalrf2_production_20250401
129ca7b01c5e109d573a4487a03dd8f2
maylgia
68962001
false
true
en
roman
true
snomedct_internationalrf2_production_20250401
d5c4434fa474f7413491356452c5db4f
పొత్తి కడుపు నొప్పి
21522001
false
true
te
telugu
true
snomedct_internationalrf2_production_20250401
b90bc761e54f37fda97858fa799b07bc
fever for evaluation
268984004
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
ac53670ccf44ea551d113b707b10503a
apical hcm
1204194004
true
false
en
roman
true
snomedct_internationalrf2_production_20250401
907662401d63e0be513ddaba0661a1c2
చిరాకు
55929007
false
true
te
Telugu
true
snomedct_internationalrf2_production_20250401
8249587ce609fd084ec4f342ad57658e
fracture proximal tibia
20433007
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
8bd5b67121d84eecff7a0f2130509521
amen
14302001
true
true
en
roman
true
snomedct_internationalrf2_production_20250401
d60bd55e159cceaebb9f4166c3584a8c
visual issues
397540003
false
true
en
roman
true
snomedct_internationalrf2_production_20250401
cfc0b40e613312db68c702705166a9ba
പള്ളി നോവ്
79922009
false
true
ml
malayalam
true
snomedct_internationalrf2_production_20250401
a99c2d02146c66fb2b9d3edd25bd5082
చెవిలో మోత
60862001
false
true
te
telugu
true
snomedct_internationalrf2_production_20250401
3ab70546c292bbf1f90e3d2891c0531b
അലർജി കൊണ്ടുള്ള കുര
300959008
false
false
ml
malayalam
true
snomedct_internationalrf2_production_20250401
110c4fc37bce89a220e831d61d68ebfa
छातीत दुखणे
29857009
false
true
mr
Devanagari
true
snomedct_internationalrf2_production_20250401
fc292bd7df071858c2d0f955545673c1
ari
195647007
true
false
en
roman
true
snomedct_internationalrf2_production_20250401
5a6189ce72ea496839e1a1404ba40a51
arthroscopic acl reconstruction
37422000
true
false
en
roman
true
snomedct_internationalrf2_production_20250401
fe7b4fd3c530432a12173ef6b8dc01c9
ఆందోళన
48694002
false
true
te
Telugu
true
snomedct_internationalrf2_production_20250401
a630ed92de375271f18c6b51cdcff5f3
subcoastal pain
247352008
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
8e967e9b1679a5f7580d84028f0e00f1
മൂത്രമൊഴിക്കുമ്പോൾ കത്തുന്ന സംവേദനം
58250006
false
true
ml
Malayalam
true
snomedct_internationalrf2_production_20250401
9dbfe4979e92a9ca406dba3e71ebcf9e
foot trauma
125604000
false
true
en
roman
true
snomedct_internationalrf2_production_20250401
92bed91860b4c8dedbc28b365c843c31
വയറിന് ഒരു സുഖമില്ലായ്മ
43364001
false
true
ml
Malayalam
true
snomedct_internationalrf2_production_20250401
cc5623dce7554ac70c8660079fe22864
acute febrile illness
416113008
false
true
en
roman
true
snomedct_internationalrf2_production_20250401
9023d789451c210757424ec257ee9e55
vehicular accident
418161006
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
f11bce68c4f98848d0015bdc0f2aa119
injection abscess
95382004
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
97bc0bb4bb38e372bfcc964f7243480f
thumb swelling
314916002
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
87a4f21242cd36183634b3b7fce42d0d
decreased appetite
64379006
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
347fbdb382898bdbadcb62790fbc15b2
dryness of throat
102618009
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
cf9b8c963d17ab7fa30df0308e266fbb
itching on hands
890090001
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
30084508eea445e50cee02e6c833ed87
fever with chi
274640006
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
7e6af6e067d48c0288efdd42433faa6f
పిత్తులు రావడం
249504006
false
false
te
telugu
true
snomedct_internationalrf2_production_20250401
8d2ec661d342c51b7f58c11e4b677975
swelling feet
297142003
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
424e6ea4a63378c05e5864bca32e2487
nasal surgery
88733004
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
e76b91eaf2de4ff7c2287c165e8744e8
बाल गिरना
278040002
false
false
hi
devanagri
true
snomedct_internationalrf2_production_20250401
79a5cbdd1ed76665fc18e91092a8cf2e
mandibular swelling
441708007
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
164e1162f9e1a9aaed25b5a4efd7b8d8
തൊണ്ടയിൽ കരകരപ്പ്
267102003
false
true
ml
Malayalam
true
snomedct_internationalrf2_production_20250401
eba96baf75cd3df8cd67059fdddef758
recurrent dislocation
5137004
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
ec16a303d786a5493d8a168840442c71
oa bilateral knee
112981000119107
true
false
en
roman
true
snomedct_internationalrf2_production_20250401
b76a8b9f3d7e888bf7a02de5621be534
right index finger
770842002
false
false
en
roman
true
snomedct_internationalrf2_production_20250401
916aebcfd94134cf5be5587ccec02431
new dm
405749004
true
false
en
roman
true
snomedct_internationalrf2_production_20250401
End of preview. Expand in Data Studio

Eka-IndicMTEB

Dataset Description

Eka-IndicMTEB, is a evaluation dataset comprising Indian Multilingual Medical Terms designed to evaluate embedding models on medical terminology across multiple Indic languages and scripts. It contains 2,532 doctor-verified queries, capturing the linguistic and domain-specific diversity of the Indian healthcare ecosystem.

The dataset includes medical entities spanning symptoms, diagnoses, procedures, medications, and related concepts, enriched with real-world linguistic variations such spelling errors, special characters, abbreviations, and colloquial expressions. The dataset covers multilple languages including English, Hindi, Bengali, Tamil, Telugu, Kannada, Marathi, and Malayalam.

Dataset Creation

This dataset was curated by our internal medical professionals to ensure clinical accuracy and linguistic diversity. Each query was manually reviewed and annotated with its corresponding SNOMED CT identifier, ensuring concept-level alignment across languages.

Why This Matters

Eka-IndicMTEB addresses a critical gap in multilingual medical AI evaluation by offering:

  • A Shared Evaluation Framework: Researchers can now benchmark multilingual medical embeddings against a standardized, clinically-validated dataset spanning multiple Indian languages.
  • Insight into Model Strengths and Weaknesses: The benchmark systematically reveals how models handle India's linguistic diversity, identifying specific failure modes and success patterns across different language families and medical domains.
  • Guidance for Model Development: Performance analysis across varied query types provides actionable insights for targeted model improvements.

Applications

This benchmark is invaluable for researchers developing cross-lingual medical information retrieval systems, and AI teams building multilingual clinical decision support tools. Healthcare organizations deploying language-agnostic medical chatbots or semantic search systems will find this dataset essential for validating performance across India's diverse linguistic landscape. Academic institutions working on low-resource medical NLP can leverage this benchmark to identify gaps and measure progress in Indian language healthcare AI.

Dataset Structure

The dataset contains three subsets

  • queries: This subset contains all the multi-lingual, multi-script queries. Each example is also tagged with its language, script, and is_abbreviation boolean for error analysis.
  • qrels: This subset contains the mapping of queries to the corpus; this relationship establishes ground truth of the relationship between query and search corpus.
  • corpus: This subset is the search space used in indexing for retrieval evaluation. We have included terms from SNOMEDCT (version: snomedct_internationalrf2_production_20250401).

Usage

Load specific subset and split:

from datasets import load_dataset

# Load specific subset and split
dataset = load_dataset('ekacare/Eka-IndicMTEB', 'corpus', split='test')

# Load all splits from a subset
dataset = load_dataset('ekacare/Eka-IndicMTEB', 'corpus')

# Load everything
dataset = load_dataset('ekacare/Eka-IndicMTEB')

Contributors / Annotators list

Dr Sanjana SN
Dr Anushree Rana
Dr Rajshree Badami

License

This dataset is released under CC-BY-SA-4.0

Downloads last month
415

Space using ekacare/Eka-IndicMTEB 1

Collection including ekacare/Eka-IndicMTEB