rakhasetiawan/fire-knowledge-embedding-wikipedia
Fire Domain Knowledge Safety Wikipedia Embeddings Pre-computed vector embeddings from Wikipedia articles covering fire hazard safety, environmental effects, and related topics — 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 Fire safety, hazard prevention, environmental impact, and more… See the full description on the dataset page: https://huggingface.co/datasets/rakhasetiawan/fire-knowledge-embedding-wikipedia.
Fire Domain Knowledge Safety Wikipedia Embeddings
Pre-computed vector embeddings from Wikipedia articles covering fire hazard safety, environmental effects, and related topics — ready to drop into your RAG pipeline without any embedding overhead.
Dataset Details
Quickstart
import pandas as pd
import ast
df = pd.read_csv("hf://datasets/rakhasetiawan/fire-knowledge-embedding-wikipedia/blob/main/fire_domain_vector_embeddings.csv")
# Convert the embedding column from string to list
df["embedding"] = df["embedding"].apply(ast.literal_eval)
print(df.head())
# text | embedding | title | urlLicense
Dataset content is sourced from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 license.