Skip to content

Use synthetic dataset in BERTopic wheel integration tests. #7644

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
rapids-bot merged 1 commit into from
Jan 2, 2026
Merged

Use synthetic dataset in BERTopic wheel integration tests. #7644

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
19 changes: 15 additions & 4 deletions ci/test_wheel_integrations.sh
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
#!/bin/bash
# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION.
# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION.
# SPDX-License-Identifier: Apache-2.0

set -euo pipefail
Expand Down Expand Up @@ -45,11 +45,22 @@ timeout 20m python -c "
import warnings
warnings.filterwarnings('ignore')

import random
from bertopic import BERTopic
from sklearn.datasets import fetch_20newsgroups

# Create a small sample dataset
docs = fetch_20newsgroups(subset='train', categories=['sci.space'])['data'][:100]
# Generate synthetic documents with topic-like word clusters
random.seed(42)
topics = [
['star', 'galaxy', 'planet', 'orbit', 'telescope', 'nasa', 'astronaut'],
['rocket', 'launch', 'satellite', 'mission', 'space', 'shuttle', 'station'],
['moon', 'mars', 'jupiter', 'asteroid', 'comet', 'meteor', 'crater'],
]

docs = []
for i in range(100):
topic_words = topics[i % len(topics)]
doc = ' '.join(random.choices(topic_words, k=random.randint(10, 30)))
docs.append(doc)

# Initialize BERTopic with cuML UMAP backend
# BERTopic will automatically use cuML's UMAP if available
Expand Down