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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")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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Filtered Multilingual Corpus (EN-HI-PA)

Dataset Description

A cleaned and balanced multilingual corpus extracted from the Samanantar dataset, containing parallel sentences in English, Hindi, and Punjabi.

Languages

The dataset contains text in three languages:

  • English (en)
  • Hindi (hi)
  • Punjabi (pa)

Dataset Summary

This dataset is a filtered subset of the Samanantar parallel corpus, specifically:

  • 150,000 English sentences (from EN-HI and EN-PA parallel data)
  • 150,000 Hindi sentences (from EN-HI parallel data)
  • 150,000 Punjabi sentences (from EN-PA parallel data)

All sentences have been cleaned, deduplicated, and quality-filtered for language modeling purposes.

Supported Tasks

  • Multilingual language model training
  • Cross-lingual transfer learning
  • Machine translation fine-tuning
  • Multilingual text generation

Dataset Structure

{
  "en": ["English sentence 1", "English sentence 2", ...],
  "hi": ["Hindi sentence 1", "Hindi sentence 2", ...],
  "pa": ["Punjabi sentence 1", "Punjabi sentence 2", ...]
}

Source & Thanks

This dataset is derived from the Samanantar parallel corpus. Special thanks to AI4Bharat for creating and sharing this valuable resource.

Citation

Original Dataset

@inproceedings{samanantar_2021,
  title = {Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages},
  author = {Gowtham Ramesh and Sumanth Doddapaneni and Aravinth Bheemaraj and Mayank Jobanputra and Raghavan AK and Ajitesh Sharma and Sujit Sahoo and Harshita Diddee and Mahalakshmi J and Divyanshu Kakwani and Navneet Kumar and Aswin Pradeep and Srihari Nagaraj and Kumar Deepak and Vivek Raghavan and Anoop Kunchukuttan and Pratyush Kumar and Mitesh Shantadevi Khapra},
  booktitle = {Proceedings of the Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks},
  year = {2021},
  url = {https://arxiv.org/abs/2104.05596}
}

This Dataset

@software{filtered_multilingual_2026,
  title = {multilingual-corpus},
  author = {Manish Tiwari},
  year = {2026},
  url = {https://huggingface.co/datasets/PredictiveManish/multilingual-corpus},
  note = {Cleaned and balanced multilingual corpus for language modeling}
}

Usage

Direct Loading

from datasets import load_dataset

dataset = load_dataset("PredictiveManish/multilingual-corpus")

english_sentences = dataset["train"]["en"]
hindi_sentences = dataset["train"]["hi"]
punjabi_sentences = dataset["train"]["pa"]

License

This dataset is licensed under CC-BY 4.0.

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