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Vector embedding fixtures

The same texts as a normalised vector set in JSON, Parquet, and NumPy .npy, for testing vector stores, similarity search, and embedding loaders.

Each card starts with one representative test file. Choose a use case, search, or filter to find a specific profile; a card’s variant menu contains its related samples.

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Preview of Text Embeddings: 16-dim (JSON)

Embeddings

Text Embeddings: 16-dim (JSON)

A set of 24 L2-normalised 16-dimensional text embeddings as JSON: each record pairs an id and its source text with a float vector. A fixture for testing vector stores, similarity search, and embedding loaders. Parquet an

File
JSON · Embeddings · 24 records
Use case
ML training data / Embeddings
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