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--- |
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language: |
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- en |
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license: cc-by-sa-3.0 |
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size_categories: |
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- n<1K |
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- 1K<n<10K |
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- 10K<n<100K |
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dataset_info: |
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- config_name: '100' |
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features: |
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- name: id |
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dtype: string |
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- name: url |
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dtype: string |
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- name: title |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
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- name: partial |
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num_bytes: 168960 |
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num_examples: 100 |
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- name: full |
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num_bytes: 315241.0851032817 |
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num_examples: 100 |
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download_size: 591654 |
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dataset_size: 484201.0851032817 |
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- config_name: 100k |
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features: |
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- name: id |
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dtype: string |
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- name: url |
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dtype: string |
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- name: title |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
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- name: full |
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num_bytes: 171032873 |
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num_examples: 100000 |
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num_bytes: 315241085.10328174 |
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num_examples: 100000 |
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download_size: 290303445 |
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dataset_size: 486273958.10328174 |
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- config_name: 10k |
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features: |
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- name: id |
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dtype: string |
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- name: url |
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dtype: string |
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- name: title |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
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- name: full |
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num_examples: 10000 |
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num_examples: 10000 |
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download_size: 29185968 |
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dataset_size: 48583381.51032817 |
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- config_name: 1k |
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features: |
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- name: id |
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dtype: string |
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- name: url |
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dtype: string |
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- name: title |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
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num_bytes: 3152410.8510328173 |
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num_examples: 1000 |
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download_size: 6023550 |
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dataset_size: 4853978.851032818 |
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- config_name: 50k |
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features: |
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- name: id |
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dtype: string |
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- name: url |
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dtype: string |
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- name: title |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
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num_examples: 50000 |
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download_size: 144690540 |
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dataset_size: 243112583.55164087 |
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features: |
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- name: id |
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dtype: string |
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- name: url |
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dtype: string |
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- name: title |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
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- name: partial |
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num_examples: 5000 |
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- name: full |
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num_bytes: 15762054.255164085 |
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num_examples: 5000 |
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download_size: 29084388 |
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dataset_size: 24215892.255164087 |
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configs: |
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- config_name: '100' |
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data_files: |
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- split: full |
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path: 100/full-* |
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- split: partial |
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path: 100/partial-* |
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- config_name: 100k |
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data_files: |
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- split: full |
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path: 100k/full-* |
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- split: partial |
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path: 100k/partial-* |
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- config_name: 10k |
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data_files: |
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- split: full |
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path: 10k/full-* |
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- split: partial |
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path: 10k/partial-* |
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- config_name: 1k |
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data_files: |
|
- split: full |
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path: 1k/full-* |
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- split: partial |
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path: 1k/partial-* |
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- config_name: 50k |
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data_files: |
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- split: full |
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path: 50k/full-* |
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- split: partial |
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path: 50k/partial-* |
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- config_name: 5k |
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data_files: |
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- split: full |
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path: 5k/full-* |
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- split: partial |
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path: 5k/partial-* |
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--- |
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# `mini_wiki` |
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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. |
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## Usage |
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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. |
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Now, to run: |
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```python |
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from datasets import load_dataset |
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# Load the 100-sample, full version of the dataset: |
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data = load_dataset('xhluca/mini_wiki', name="100", split="full") |
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print(data) |
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# Load partial version with 1k, 5k, 10k, 50k, 100k samples |
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data = load_dataset('xhluca/mini_wiki', name="1k", split="partial") |
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data = load_dataset('xhluca/mini_wiki', name="5k", split="partial") |
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data = load_dataset('xhluca/mini_wiki', name="10k", split="partial") |
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data = load_dataset('xhluca/mini_wiki', name="50k", split="partial") |
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data = load_dataset('xhluca/mini_wiki', name="100k", split="partial") |
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``` |
