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README.md
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@@ -4,6 +4,8 @@ configs:
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- config_name: no-vectors
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data_files: no-vectors/*.parquet
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default: true
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- config_name: openai-text-embedding-3-large
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data_files: openai/text-embedding-3-large/*.parquet
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- config_name: snowflake-arctic-embed
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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-
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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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```python
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from datasets import load_dataset
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dataset = load_dataset("weaviate/wiki-sample", "no-vectors", streaming=True)
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```
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### OpenAI
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**text-embedding-3-large** - 3072d vectors - generated with OpenAI
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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-large", streaming=True)
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```
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### Snowflake
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```python
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from datasets import load_dataset
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dataset = load_dataset("weaviate/wiki-sample", "snowflake-arctic-embed", streaming=True)
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```
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- config_name: no-vectors
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data_files: no-vectors/*.parquet
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default: true
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- config_name: openai-text-embedding-3-small
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data_files: openai/text-embedding-3-small/*.parquet
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- config_name: openai-text-embedding-3-large
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data_files: openai/text-embedding-3-large/*.parquet
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- config_name: snowflake-arctic-embed
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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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```python
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from datasets import load_dataset
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dataset = load_dataset("weaviate/wiki-sample", "no-vectors", split="train", streaming=True)
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```
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You can also skip the config name, as "no-vectors is the default dataset:
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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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### OpenAI
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**text-embedding-3-small** - 1536d vectors - generated with OpenAI
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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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```
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**text-embedding-3-large** - 3072d vectors - generated with OpenAI
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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-large", split="train", streaming=True)
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```
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### Snowflake
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```python
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from datasets import load_dataset
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dataset = load_dataset("weaviate/wiki-sample", "snowflake-arctic-embed", split="train", streaming=True)
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```
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