README.md

metadata

task_categories:
  - image-feature-extraction

Google Image Malaysia Location Embedding

Original dataset https://huggingface.co/datasets/malaysia-ai/crawl-google-image-malaysia-location, we convert to embedding using https://huggingface.co/google/siglip-base-patch16-512

Source code at https://github.com/mesolitica/malaysian-dataset/tree/master/vlm/dedup-malaysia-location

how-to

We use MosaicML for faster indexing,

from streaming import MDSWriter
from streaming.base.format.mds.encodings import Encoding, _encodings
from streaming import LocalDataset
import streaming
import numpy as np
from tqdm import tqdm

class Float32(Encoding):
    def encode(self, obj) -> bytes:
        return obj.tobytes()

    def decode(self, data: bytes):
        return np.frombuffer(data, np.float32)

_encodings['float32'] = Float32

dataset = LocalDataset('google-image-malaysia-location-embedding')