Bulk is a quick developer tool to apply some bulk labels. Given a prepared dataset with 2d embeddings it can generate an interface that allows you to quickly add some bulk, albeit less precice, annotations.

git clone https://github.com/JulesBelveze/bulk.git

The original tool from koaning can be found here, but I forked the project and kept working on my fork as our use cases were different.

To use bulk, you'll first need to prepare a csv file.

Note The example below uses the universal sentence encoder but you're totally free to use what-ever text embedding tool that you like. You may also enjoy whatlies or sentence transformers. You will need to install these tools seperately.

import pandas as pd
from umap import UMAP
from sentence_transformers import SentenceTransformer

# Load the universal sentence encoder
model = SentenceTransformer("sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2")

# Load original dataset
df = pd.read_csv("original.csv")

# Apply embeddings 
X = model.encode(df['text'])

# Reduce the dimensions with UMAP
umap = UMAP()
X_tfm = umap.fit_transform(X)

# Apply coordinates
df['x'] = X_tfm[:, 0]
df['y'] = X_tfm[:, 1]
df.to_csv("ready.csv")

You can now use this ready.csv file to apply some bulk labelling.

python3 -m bulk text ready.csv

The interface may help you label very quickly. It enables you to directly create tabs on Label Studio to either correct or create labels.