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weaviate
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wiki-sample

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  1. ollama/snowflake-arctic/0001.parquet +3 -0
  2. ollama/snowflake-arctic/0002.parquet +3 -0
  3. ollama/snowflake-arctic/0003.parquet +3 -0
  4. ollama/snowflake-arctic/0004.parquet +3 -0
  5. ollama/snowflake-arctic/0005.parquet +3 -0
  6. ollama/snowflake-arctic/0006.parquet +3 -0
  7. ollama/snowflake-arctic/0007.parquet +3 -0
  8. ollama/snowflake-arctic/0008.parquet +3 -0
  9. ollama/snowflake-arctic/0009.parquet +3 -0
  10. ollama/snowflake-arctic/0010.parquet +3 -0
  11. ollama/snowflake-arctic/0011.parquet +3 -0
  12. ollama/snowflake-arctic/0012.parquet +3 -0
  13. ollama/snowflake-arctic/0013.parquet +3 -0
  14. ollama/snowflake-arctic/0014.parquet +3 -0
  15. ollama/snowflake-arctic/0015.parquet +3 -0
  16. ollama/snowflake-arctic/0016.parquet +3 -0
  17. ollama/snowflake-arctic/0017.parquet +3 -0
  18. ollama/snowflake-arctic/0018.parquet +3 -0
  19. ollama/snowflake-arctic/0019.parquet +3 -0
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  21. ollama/snowflake-arctic/0021.parquet +3 -0
  22. ollama/snowflake-arctic/0022.parquet +3 -0
  23. ollama/snowflake-arctic/0023.parquet +3 -0
  24. ollama/snowflake-arctic/0024.parquet +3 -0
  25. ollama/snowflake-arctic/0025.parquet +3 -0
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  27. openai/text-embedding-3-large/0001.parquet +3 -0
  28. openai/text-embedding-3-large/0002.parquet +3 -0
  29. openai/text-embedding-3-large/0003.parquet +3 -0
  30. openai/text-embedding-3-large/0004.parquet +3 -0
  31. readme.md +35 -0
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readme.md ADDED
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+ ---
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+ license: bsd-3-clause
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+ configs:
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+ - config_name: openai-text-embedding-3-large
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+ data_files:
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+ - split: train
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+ path: openai/text-embedding-3-large/*.parquet
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+ - config_name: snowflake-arctic-embed
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+ data_files:
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+ - split: train
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+ path: ollama/snowflake_arctic/*.parquet
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+ size_categories:
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+ - 100K<n<1M
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+ ---
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+
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+ ## Loading dataset with vector embeddings
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+
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+ You can load the dataset like this:
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+
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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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+ for item in dataset:
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+ print(item["text"])
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+ print(item["title"])
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+ print(item["url"])
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+ print(item["wiki_id"])
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+ print(item["vector"])
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+ print()
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+ ```
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+
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+ ## Supported Datasets
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+ * `openai-text-embedding-3-large` - vectors generated with OpenAI using `text-embedding-3-large` model
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+ * `snowflake-arctic-embed` - vectors generated with Ollama using `snowflake-arctic-embed` model