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--- |
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language: |
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- en |
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license: cc-by-sa-4.0 |
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dataset_info: |
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- config_name: max_len-1024 |
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features: |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 270688438 |
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num_examples: 449722 |
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download_size: 148512885 |
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dataset_size: 270688438 |
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- config_name: max_len-448 |
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features: |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 272285366 |
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num_examples: 930858 |
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download_size: 151141635 |
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dataset_size: 272285366 |
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configs: |
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- config_name: max_len-1024 |
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data_files: |
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- split: train |
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path: max_len-1024/train-* |
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- config_name: max_len-448 |
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data_files: |
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- split: train |
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path: max_len-448/train-* |
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--- |
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# Wikipedia simple splitted |
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Wikipedia simple data splitted using Langchain's RecursiveCharacterTextSplitter |
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## Usage |
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- This dataset is meant to be an ultra high quality dataset. |
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- This can be used for Annealing LLMs. |
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## Why its different |
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- This dataset is split with a max length of 448 (128*3.5) and 1024 (256*4) characters |
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- And rather than splitting by length, it is split using RecursiveCharacterTextSplitter. So, the chunks don't end randomly. |
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- Can use very large batch sizes. |
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## License |
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[CC-BY-SA](https://creativecommons.org/licenses/by-sa/4.0/deed.en) |
