Create Readme.md

README.md

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