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Update README.md

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@@ -76,7 +76,7 @@ Load with the `datasets` library:
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  ```python
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  from datasets import load_dataset
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- ds = load_dataset("your-org/wikipedia-de-clean", split="train")
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  # ds[i]["text"] is the full article body as a single string
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@@ -92,7 +92,7 @@ Streaming for environments where the ~10 GB download is inconvenient:
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  from datasets import load_dataset
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  ds = load_dataset(
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- "your-org/wikipedia-de-clean",
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  split="train",
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  streaming=True,
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  )
@@ -130,7 +130,7 @@ cleaning scripts is published alongside this dataset.
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  7. **Stream-write** to JSONL, one article per line.
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  A 7.6 GB compressed `.xml.bz2` produces a ~10 GB cleaned JSONL of
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- approximately 2 million articles, with an end-to-end runtime of roughly
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  2–4 hours on a single CPU.
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  ## License and attribution
 
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  ```python
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  from datasets import load_dataset
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+ ds = load_dataset("gmrrh/de-wiki", split="train")
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  # ds[i]["text"] is the full article body as a single string
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  from datasets import load_dataset
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  ds = load_dataset(
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+ "gmrrh/de-wiki",
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  split="train",
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  streaming=True,
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  )
 
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  7. **Stream-write** to JSONL, one article per line.
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  A 7.6 GB compressed `.xml.bz2` produces a ~10 GB cleaned JSONL of
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+ approximately 1.8 million articles, with an end-to-end runtime of roughly
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  2–4 hours on a single CPU.
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  ## License and attribution