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Datasets:
jsun
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Prolong_64K_v2_Llama2_Tokenizer

Tasks:
Text Generation
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The dataset viewer is not available for this dataset.
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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Prolong_64K_v2_Llama2_Tokenizer

This is the Prolong_64K dataset, tokenized using the Llama-2-7b-hf tokenizer for use in Samba-style training.

This dataset was used in the research paper: Rethinking Language Model Scaling under Transferable Hypersphere Optimization.

The official training codebase can be found at GitHub - microsoft/ArchScale.

Download

👉 You can download and unzip the dataset from: prolong_64K_v2.zip

wget -c https://huggingface.co/datasets/jsun/Prolong_64K_v2_Llama2_Tokenizer/resolve/main/prolong_64K_v2.zip -O prolong_64K_v2.zip
sudo apt install zip # Ubuntu
unzip prolong_64K_v2.zip -d prolong_64K_v2

Usage

Once extracted, the dataset can be loaded using the PackedDataset class from the Samba/ArchScale codebase.

Example training scripts utilizing this data format are provided in the ArchScale repository.
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Paper for jsun/Prolong_64K_v2_Llama2_Tokenizer