---
language:
- en
dataset_info:
- config_name: 100M
  features:
  - name: id
    dtype: string
  - name: url
    dtype: string
  - name: title
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 650667681.8337438
    num_examples: 227211
  - name: validation
    num_bytes: 2863715.5852214186
    num_examples: 1000
  download_size: 778394816
  dataset_size: 653531397.4189652
- config_name: 10M
  features:
  - name: id
    dtype: string
  - name: url
    dtype: string
  - name: title
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 62042398.153822035
    num_examples: 21665
  - name: validation
    num_bytes: 2863715.5852214186
    num_examples: 1000
  download_size: 80814159
  dataset_size: 64906113.73904346
configs:
- config_name: 100M
  data_files:
  - split: train
    path: 100M/train-*
  - split: validation
    path: 100M/validation-*
- config_name: 10M
  data_files:
  - split: train
    path: 10M/train-*
  - split: validation
    path: 10M/validation-*
---
This repository contains a random subset of the English wikipedia (`"wikimedia/wikipedia", "20231101.en"`). 
It includes two versions of the dataset, one containing roughly 10M words total (~23k articles), the other containing roughly 100M words total ( ~228K articles). 
These data are intended to be used for the BabyLM challenge.

You can load these datasets as follows:
```python
from datasets import load_dataset

ds_10M = load_dataset("eminorhan/random_wikipedia", "10M")

ds_100M = load_dataset("eminorhan/random_wikipedia", "100M")
```
Both datasets come with `train`/`validation` splits.