oshizo/japanese-wikipedia-paragraphs-embeddings

The following data set was vectorized with the intfloat/multilingual-e5-base model and an index file created by faiss.

oshizo/japanese-wikipedia-paragraphs

Usage

First, download index_me5-base_IVF2048_PQ192.faiss from this repository.

import faiss
import datasets
from sentence_transformers import SentenceTransformer

ds = datasets.load_dataset("oshizo/japanese-wikipedia-paragraphs", split="train")

index = faiss.read_index("./index_me5-base_IVF2048_PQ192.faiss")

model = SentenceTransformer("intfloat/multilingual-e5-base")

question = "日本で二番目に高い山は？"
emb = model.encode(["query: " + question])
scores, indexes = index.search(emb, 10)
scores = scores[0]
indexes = indexes[0]

results = []
for idx, score in zip(indexes, scores):
    idx = int(idx)
    passage = ds[idx]
    passage["score"] = score
    results.append((passage))