Individual skill
nemo-curator
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.
backend/cli/skills/ml-training/nemo-curator/SKILL.md
Source commit a08e0ad0ad3d6448123039ee4659163eb2e35d99
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- Network or broad shell
- Last checked
- Nov 2, 2026
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- Repository stars (not skill ratings)
- 4,352
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent Repository topic
- data-processing Declared skill tag
- nemo-curator Declared skill tag
- data-curation Declared skill tag
- gpu-acceleration Declared skill tag
- deduplication Declared skill tag
- quality-filtering Declared skill tag
- nvidia Declared skill tag
- rapids Declared skill tag
- pii-redaction Declared skill tag
- multimodal Declared skill tag
- llm-training-data Declared skill tag
- data Derived category
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# NeMo Curator - GPU-Accelerated Data Curation
NVIDIA's toolkit for preparing high-quality training data for LLMs.
## When to use NeMo Curator
**Use NeMo Curator when:**
- Preparing LLM training data from web scrapes (Common Crawl)
- Need fast deduplication (16× faster than CPU)
- Curating multi-modal datasets (text, images, video, audio)
- Filtering low-quality or toxic content
- Scaling data processing across GPU cluster
**Performance**: