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--- |
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annotations_creators: |
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- no-annotation |
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language_creators: |
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- crowdsourced |
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pretty_name: wikipedia-de-splits |
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paperswithcode_id: null |
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license: |
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- cc-by-sa-3.0 |
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- gfdl |
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task_categories: |
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- text-generation |
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- fill-mask |
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task_ids: |
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- language-modeling |
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- masked-language-modeling |
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source_datasets: |
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- wikipedia |
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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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- 100K<n<1M |
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- 1M<n<10M |
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language: |
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- de |
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configs: |
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- "1" |
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- "2" |
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- "3" |
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- "4" |
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- "5" |
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- "6" |
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- "7" |
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- "8" |
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- "9" |
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- "10" |
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- "11" |
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- "12" |
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- "13" |
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- "14" |
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- "15" |
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- "16" |
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- "17" |
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- "18" |
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- "19" |
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- "20" |
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- "21" |
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- "all" |
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--- |
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# Dataset Card for yaakov/wikipedia-de-splits |
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## Dataset Description |
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The only goal of this dataset is to have random German Wikipedia articles at |
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various dataset sizes: Small datasets for fast development and large datasets for statistically relevant measurements. |
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For this purpose, I loaded the 2665357 articles in the `test` set of the pre-processed German Wikipedia dump from 2022-03-01, randomly permuted the articles and created splits of sizes `2**n`: `1, 2, 4, 8, ...`. The split names are strings. The split `'all'` contains all 2665357 available articles. |
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## Dataset creation |
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This dataset has been created with the following script: |
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!apt install git-lfs |
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!pip install -q transformers datasets |
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from huggingface_hub import notebook_login |
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notebook_login() |
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from datasets import load_dataset |
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wikipedia_de = load_dataset("wikipedia", "20220301.de")['train'] |
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shuffled = wikipedia_de.shuffle(seed=42) |
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from datasets import DatasetDict |
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res = DatasetDict() |
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k, n = 0, 1 |
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while n <= shuffled.num_rows: |
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res[str(k)] = shuffled.select(range(n)) |
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k += 1; n *= 2 |
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res['all'] = shuffled |
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res.push_to_hub('yaakov/wikipedia-de-splits') |
