metadata
license: other
language:
- zh
tags:
- recipe
- rag
- embeddings
- bge-m3
- android
pretty_name: ChiShenMe BGE-M3 Recipe Dataset Packs
ChiShenMe BGE-M3 Recipe Dataset Packs
This repository contains offline recipe RAG dataset packs for the Android-first app 吃什么.
The packs are generated from recipe_corpus_full.json, preprocessed into recipe chunks, and embedded with BAAI/bge-m3 dense vectors.
Files
dataset-index.json
chishenme-bge-m3-lite-10k/
dataset-pack.json
files/
vectors.f32
metadata.jsonl
embedding-manifest.json
chishenme-bge-m3-medium-100k/
dataset-pack.json
files/
vectors.f32
metadata.jsonl
embedding-manifest.json
chishenme-bge-m3-full/
dataset-pack.json
files/
vectors.f32
metadata.jsonl
embedding-manifest.json
models/
bge-m3-query-onnx/
model-pack.json
files/
tokenizer.onnx
model.onnx
model.onnx_data
config.json
tokenizer.json
sentencepiece.bpe.model
Variants
| Level | Chunks | Use case |
|---|---|---|
| Lite | 10,000 | Fast Android download and smoke tests |
| Medium | 100,000 | Beta testing and better recipe coverage |
| Full | 1,552,596 | Full offline recipe retrieval |
Android Usage
The app downloads a dataset-pack.json file, then downloads the referenced files under files/.
Example manifest URL:
https://huggingface.co/datasets/{username}/chishenme-datasets/resolve/main/chishenme-bge-m3-lite-10k/dataset-pack.json
Replace {username} with the actual Hugging Face namespace.
The Android ONNX query model pack is available at:
https://huggingface.co/datasets/{username}/chishenme-datasets/resolve/main/models/bge-m3-query-onnx/model-pack.json
Format
vectors.f32: contiguous float32 dense vectors, row-major, normalized.metadata.jsonl: one JSON object per vector row.embedding-manifest.json: embedding generation metadata.dataset-pack.json: app-facing pack manifest with file sizes and SHA256 hashes.model-pack.json: app-facing ONNX query model manifest.
License
The source dataset is user-provided. Verify redistribution rights before publishing publicly.