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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DAC693k

Description

This dataset, named "DAC693k," is designed for ad targeting in a multi-class classification setting. It consists of two main columns: "domain" and "classes." The "domain" column contains a list of domains, representing various websites or online entities. The "classes" column contains an array representation of ad targeting multi-classes associated with each domain.

Usage

Hugging Face Datasets Library

The dataset is formatted to be seamlessly integrated with Hugging Face's datasets library. Users can easily load the dataset using the following code:

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("ansi-code/domain-advertising-classes-693k")

Columns

domain: This column contains the domains of websites or online entities.
classes: The "classes" column represents an array of multi-class labels associated with each domain for ad targeting. (see here mapping https://github.com/patcg-individual-drafts/topics/blob/main/taxonomy_v1.md)

Data Format

domain: String
classes: List of strings representing multi-class labels

License

This dataset is released under the Apache 2.0 license.

Citation

If you use this dataset in your work, please cite it using the following BibTeX entry:

@dataset{silvi-2023-dac693k,
  title = {domain-advertising-classes-693k},
  author = {Andrea Silvi},
  year = {2023},
}

Acknowledgements

Additionally, we acknowledge the usage of the ad targeting taxonomy provided in this GitHub repository. The taxonomy has been instrumental in organizing and labeling the multi-class targets associated with each domain in the dataset.

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