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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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Marco multilingual finetuning splits (c4)

Pre-built JSONL training splits for the Marco-MoE multilingual expansion experiments.

Contents

splits/ — document-budget tiers (~15 GB)

Fixed-prefix document counts per language (50k ⊂ 100k ⊂ 500k):

Language Source corpus
dan_Latn FineWeb2-HQ
fas_Arab FineWeb2-HQ
swe_Latn FineWeb2-HQ
tam_Taml FineWeb-2
cat_Latn FineWeb-2

Files: {lang}_{50k|100k|500k}.jsonl, {lang}_manifest.json, splits_summary.json

Generated by finetuning/data/prepare_data_splits.py.

token_budget_splits/ — token-budget tiers (~66 GB)

Fixed-seed shuffled splits at 1B / 1.5B / 2B raw tokenizer tokens:

Files: {lang}_{1Btok|1p5Btok|2Btok}.jsonl, {lang}_token_budget_manifest.json

Generated by finetuning/data/prepare_token_budget_splits.py (seed=42, Marco-Nano-Base tokenizer).

Usage

huggingface-cli download LiangYan3612/c4 \
  --repo-type dataset \
  --include "splits/**" \
  --local-dir finetuning/data

huggingface-cli download LiangYan3612/c4 \
  --repo-type dataset \
  --include "token_budget_splits/**" \
  --local-dir finetuning/data

Or use download_scripts/anvil/download_finetune_splits.sh from the multilingual_MoE repo.

Citation

Derived from FineWeb2-HQ and FineWeb-2. See project repo for experiment details.

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