---
language:
- en
license: cc-by-sa-4.0
dataset_info:
- config_name: max_len-1024
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 270688438
    num_examples: 449722
  download_size: 148512885
  dataset_size: 270688438
- config_name: max_len-448
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 272285366
    num_examples: 930858
  download_size: 151141635
  dataset_size: 272285366
configs:
- config_name: max_len-1024
  data_files:
  - split: train
    path: max_len-1024/train-*
- config_name: max_len-448
  data_files:
  - split: train
    path: max_len-448/train-*
---

# Wikipedia simple splitted

Wikipedia simple data splitted using Langchain's RecursiveCharacterTextSplitter



## Usage

- This dataset is meant to be an ultra high quality dataset.
- This can be used for Annealing LLMs.
## Why its different

- This dataset is split with a max length of 448 (128*3.5) and 1024 (256*4) characters 
- And rather than  splitting by length, it is split using RecursiveCharacterTextSplitter. So, the chunks don't end randomly.
- Can use very large batch sizes. 

## License

[CC-BY-SA](https://creativecommons.org/licenses/by-sa/4.0/deed.en)