Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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MIRACL Triplets in 51 Languages

Dataset Summary

MIRACL Triplets in 51 Languages is a multilingual retrieval and reranking dataset for training dense retrieval, sentence embedding, reranker, and cross-lingual search models. It contains (query, positive, negative) triplets derived from the English training split of miracl/miracl.

The dataset provides 51 language subsets: the original English data and translations into 50 languages. Each subset contains 2,863 aligned training examples. Rows with the same id represent translations of the same source triplet. The aligned (query, positive, negative) structure supports multilingual retrieval, multilingual reranking, contrastive learning, and hard-negative training.

Format: Parquet
Subsets: 51 language codes, including en, ko, ja, zh, de, and fr
Split: train
Rows per subset: 2,863
Total rows across subsets: 146,013

Data Structure

Column	Type	Description
`id`	`int64`	Alignment identifier shared across language subsets
`query`	`string`	Search query
`positive`	`string`	Passage relevant to the query
`negative`	`string`	Passage not relevant to the query

Data Instances

Example from the English subset:

{
  "id": 232,
  "query": "What is Nigers anthem?",
  "positive": "La Nigérienne\n\"La Nigérienne\" is the national anthem of Niger. The lyrics are by Maurice Albert Thiriet. Robert Jacquet and Nicolas Abel François Frionnet wrote the music. It was adopted as Niger's anthem in 1961.",
  "negative": "Nigeria, We Hail Thee\nThe second national anthem, \"Arise, O Compatriots,\" replaced \"Nigeria, We Hail Thee\" in 1978."
}

How to Use

from datasets import load_dataset

# Load one language subset. Replace "ko" with any supported language code.
dataset = load_dataset("nlpai-lab/miracl-multilingual-triplets", "ko", split="train")

print(dataset.features)
print(dataset[0])

The default subset is English (en).

Source and Translation

Source dataset: miracl/miracl
Source configuration: en
Source split: train
Translation model: google/translategemma-27b-it

The model's original translation prompt template was used without modification or additional instructions. The query, positive, and negative fields were translated independently while preserving their triplet relationship and cross-language id alignment.

Languages

Code	Language	Code	Language
ar	Arabic	bg	Bulgarian
bn	Bengali	ca	Catalan
cs	Czech	da	Danish
de	German	el	Greek
en	English (source)	es	Spanish
et	Estonian	fa	Persian
fi	Finnish	fil-PH	Filipino
fr	French	gu	Gujarati
he	Hebrew	hi	Hindi
hr	Croatian	hu	Hungarian
id	Indonesian	is	Icelandic
it	Italian	ja	Japanese
kn	Kannada	ko	Korean
lt	Lithuanian	lv	Latvian
ml	Malayalam	mr	Marathi
nl	Dutch	no	Norwegian
pa	Punjabi	pl	Polish
pt	Portuguese	ro	Romanian
ru	Russian	sk	Slovak
sl	Slovenian	sr	Serbian
sv	Swedish	sw	Swahili
ta	Tamil	te	Telugu
th	Thai	tr	Turkish
uk	Ukrainian	ur	Urdu
vi	Vietnamese	zh	Chinese
zu	Zulu

License

The source MIRACL dataset is released under the Apache License 2.0. This derived dataset is also released under Apache-2.0.

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