CoolFace
Datasetpublic

rakhasetiawan/food-knowledge-embedding-wikipedia

Food Domain Knowledge Safety Wikipedia Embeddings Pre-computed vector embeddings from Wikipedia articles covering Food, Cooking Methods, and other items related to food preparation — ready to drop into your RAG pipeline without any embedding overhead. Dataset Details Property Details Embedding Model nomic-ai/nomic-embed-text-v1.5 (135M) Vector Dimensions 768 Source Wikipedia Topics Food, Cooking methods, and other items related to food… See the full description on the dataset page: https://huggingface.co/datasets/rakhasetiawan/food-knowledge-embedding-wikipedia.

sourceHugging Facemitupdated 7mo agoView on Hugging Face
0likes25downloads
Dataset Card

Food Domain Knowledge Safety Wikipedia Embeddings

Pre-computed vector embeddings from Wikipedia articles covering Food, Cooking Methods, and other items related to food preparation — ready to drop into your RAG pipeline without any embedding overhead.


Dataset Details

PropertyDetails
Embedding Model`nomic-ai/nomic-embed-text-v1.5` (135M)
Vector Dimensions768
SourceWikipedia
TopicsFood, Cooking methods, and other items related to food preparation
FormatCSV (vectors + metadata)

Quickstart

python
import pandas as pd
import ast

df = pd.read_csv("hf://datasets/rakhasetiawan/food-knowledge-embedding-wikipedia/blob/main/food_domain_vector_embeddings.csv")

# Convert the embedding column from string to list
df["embedding"] = df["embedding"].apply(ast.literal_eval)

License

Dataset content is sourced from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 license.