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--- |
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dataset_info: |
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features: |
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- name: input_ids |
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sequence: int32 |
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splits: |
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- name: train |
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num_bytes: 34065019260.0 |
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num_examples: 1039455 |
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download_size: 15973004443 |
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dataset_size: 34065019260.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# OpenWebTextCorpus tokenized for Llama 3 |
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This dataset is a pre-tokenized version of the [Skylion007/openwebtext](https://huggingface.co/datasets/Skylion007/openwebtext) dataset |
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using the [llama3](https://huggingface.co/meta-llama/Meta-Llama-3-8B) tokenizer. As such, this dataset follows the same licensing as the original openwebtext dataset. |
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This pre-tokenization is done as a performance optimization for using the openwebtext dataset with a Llama3 model. |
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This dataset was created using [SAELens](https://github.com/jbloomAus/SAELens), with the following settings: |
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- context_size: 8192 |
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- shuffled: true |
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- begin_batch_token: "bos" |
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- begin_sequence_token: null |
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- sequence_separator_token: "eos" |
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- sae_lens_version: "3.3.0" |
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The `eos` token was used as a separator between sequences, since this resulted in the lowest loss experimentally. |
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Ideally we would like to use the same tokenization settings as used by the original Llama3 training regime, so if |
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you have information that the original Llama3 was trained using a different tokenization setup, please reach out! |
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