Datasetpublic

aynaval2003/echo-review-vectors

echo-review-vectors Precomputed embeddings for the 45,864 distinct review texts in Echo, encoded with aynaval2003/echo-sbert-domain. file what it is sbert-domain.fp16.npy (45864, 768) float16, L2-normalised, row i matches row i of the parquet corpus.parquet row_index, content, n_rows, review_ids 45,864 vectors cover 64,280 review rows, because identical texts share one vector. corpus.parquet is what joins a vector back to its reviews — without it the .npy is an… See the full description on the dataset page: https://huggingface.co/datasets/aynaval2003/echo-review-vectors.

sourceHugging Faceapache-2.0updated 21d agoView on Hugging Face

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Dataset Card

echo-review-vectors

Precomputed embeddings for the 45,864 distinct review texts in Echo, encoded with aynaval2003/echo-sbert-domain.

file	what it is
`sbert-domain.fp16.npy`	`(45864, 768)` float16, L2-normalised, row i matches row i of the parquet
`corpus.parquet`	`row_index, content, n_rows, review_ids`

45,864 vectors cover 64,280 review rows, because identical texts share one vector. corpus.parquet is what joins a vector back to its reviews — without it the .npy is an anonymous array.

Stored as float16 to halve the download. Verified over 500 probe queries: identical top-1 result 100% of the time, and the same ten neighbours returned every time.