Individual skill
data-processing-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.
skills-imported/data-processing-nemo-curator/SKILL.md
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- Last checked
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- 56
- Repository last updated
- Oct 10, 2026
- License
- MIT
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- 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**: