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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Dataset Card for Sentiment-Annotated Taglish Product and Service Reviews (SentiTaglish: Products and Services)

Dataset Summary

Sentiment-Annotated Taglish Product and Service Reviews (SentiTaglish: Products and Services) is a gold standard, sentiment-annotated corpus for the Tagalog-English language pair. It contains 10,510 product and service reviews which were manually labeled by three human annotators according to four sentiment classes: Positive, Negative, Neutral, and Mixed.

Supported Tasks and Leaderboards

Sentiment classification of multilingual text with code-switching / code-mixing.

Languages

Tagalog
English

Dataset Structure

Data Fields

review: a string containing the body of the review
sentiment: an integer containing the label encoding of the gold-truth label provided by the human annotators

Label encoding

1 - Negative
2 - Neutral
3 - Positive
4 - Mixed

Dataset Creation and Annotation

The data set was created using publicly available online service and product reviews from Google Maps Reviews and Shopee Philippines. Only the rating and review fields were collected and stored.

Three annotators were tasked to manually label the data set. The first two annotators labeled the same full set of reviews. Any disagreements were sent to a third annotator.

The validity and reliability of the dataset is supported by a strong agreement among the human annotators. Fleiss' kappa was used to measure the agreement between the annotations of the first two taggers while Krippendorff’s alpha was used to measure the agreement among all three annotators. Both reported strong agreement at 0.82 and 0.83, respectively. In addition, a strong positive correlation between user ratings and manual annotations was noted.

Personal and Sensitive Information

No personal information were collected and stored.

Licensing Information

The SentiTaglish: Products and Services data set version 1.0 is released under the CC-BY-4.0 license.

Citation Information

TBA

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