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---
language:
- en
license: cc-by-sa-3.0
size_categories:
- n<1K
- 1K<n<10K
- 10K<n<100K
dataset_info:
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- name: url
dtype: string
- name: title
dtype: string
- name: text
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configs:
- config_name: '100'
data_files:
- split: full
path: 100/full-*
- split: partial
path: 100/partial-*
- config_name: 100k
data_files:
- split: full
path: 100k/full-*
- split: partial
path: 100k/partial-*
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data_files:
- split: full
path: 10k/full-*
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path: 10k/partial-*
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data_files:
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path: 1k/full-*
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path: 1k/partial-*
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data_files:
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path: 50k/full-*
- split: partial
path: 50k/partial-*
- config_name: 5k
data_files:
- split: full
path: 5k/full-*
- split: partial
path: 5k/partial-*
---
# `mini_wiki`
This is a sampled version of the [`wikimedia/wikipedia`](https://huggingface.co/datasets/wikimedia/wikipedia) dataset. This repository provides scripts to generate the 100, 1k, 5k, 10k, 50k, 100k samples of the dataset, based on the `"20231101.en"` version.
## Usage
There are two possible splits: `full`, which loads the entire article, or `partial`, which is a version that only contains the first 500 words of each article. It is recommended to use partial if you are performing retrieval and are only interested in the first paragraphs of the Wikipedia dataset.
Now, to run:
```python
from datasets import load_dataset
# Load the 100-sample, full version of the dataset:
data = load_dataset('xhluca/mini_wiki', name="100", split="full")
print(data)
# Load partial version with 1k, 5k, 10k, 50k, 100k samples
data = load_dataset('xhluca/mini_wiki', name="1k", split="partial")
data = load_dataset('xhluca/mini_wiki', name="5k", split="partial")
data = load_dataset('xhluca/mini_wiki', name="10k", split="partial")
data = load_dataset('xhluca/mini_wiki', name="50k", split="partial")
data = load_dataset('xhluca/mini_wiki', name="100k", split="partial")
``` |