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README.md
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size_categories:
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- 100K<n<1M
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---
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## Loading dataset with vector embeddings
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You can load the dataset like this:
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```python
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from datasets import load_dataset
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dataset = load_dataset("weaviate/wiki-sample", "openai-text-embedding-3-small", streaming=True)
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# dataset = load_dataset("weaviate/wiki-sample", "snowflake-arctic-embed", split="train", streaming=True)
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for item in dataset:
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size_categories:
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- 100K<n<1M
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---
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## Loading dataset without vector embeddings
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You can load the raw dataset without vectors, like this:
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```python
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from datasets import load_dataset
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dataset = load_dataset("weaviate/wiki-sample", split="train", streaming=True)
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```
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## Loading dataset with vector embeddings
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You can also load the dataset with vectors, like this:
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```python
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from datasets import load_dataset
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dataset = load_dataset("weaviate/wiki-sample", "openai-text-embedding-3-small", split="train", streaming=True)
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# dataset = load_dataset("weaviate/wiki-sample", "snowflake-arctic-embed", split="train", streaming=True)
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for item in dataset:
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