A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Paper • 1704.05426 • Published • 1
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The JWT signature verification failed. Check the signing key and the algorithm.
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")
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Dataset Card for [Kaggle MNLI]
Dataset Summary
[These are the datasets posted to Kaggle for an inference detection NLP competition. Moving them here to use with Pytorch.]
Supported Tasks and Leaderboards
Provides train and validation data for sentence pairs with inference labels. [https://www.kaggle.com/competitions/multinli-matched-open-evaluation/leaderboard] [https://www.kaggle.com/competitions/multinli-mismatched-open-evaluation/leaderboard]
Languages
[JSON, Python]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[Reposted from https://www.kaggle.com/c/multinli-matched-open-evaluation and https://www.kaggle.com/c/multinli-mismatched-open-evaluation]
Source Data
Initial Data Collection and Normalization
[Please see the article at https://arxiv.org/abs/1704.05426 which discusses the creation of the MNLI dataset.]
Who are the source language producers?
[Please see the article at https://arxiv.org/abs/1704.05426 which discusses the creation of the MNLI dataset.]
Annotations
Annotation process
[Crowdsourcing using MechanicalTurk.]
Who are the annotators?
[MechanicalTurk users.]
Personal and Sensitive Information
[None.]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[Kaggle]
Licensing Information
[More Information Needed]
Citation Information
[https://www.kaggle.com/c/multinli-matched-open-evaluation] [https://www.kaggle.com/c/multinli-mismatched-open-evaluation]
Contributions
Thanks to @github-username for adding this dataset.
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**Homepage:
**
**Repository: chrishuber/roberta-retrained-mlni **
**Repository: chrishuber/roberta-retrained-mlni **
Paper: Inference Detection in NLP Using the MultiNLI and SNLI Datasets
Paper: Inference Detection in NLP Using the MultiNLI and SNLI Datasets
Leaderboard: 8
Leaderboard: 8
Point of Contact: chrish@sfsu.edu
Point of Contact: chrish@sfsu.edu
Total file size:
544 MB