Annotation Pipeline
by AaaS · open-source · Last verified 2026-03-01
Automated data annotation pipeline using LLMs for labeling, classification, and quality scoring of training data. Implements multi-annotator consensus, confidence thresholds, human review queuing for uncertain samples, and annotation analytics.
https://aaas.blog/script/annotation-pipeline ↗C
C—Below Average
Adoption: C+Quality: B+Freshness: ACitations: CEngagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- llm-annotation, multi-annotator-consensus, confidence-thresholding, review-queuing, analytics
- Integrations
- openai, anthropic, pandas, datasets
- Use Cases
- training-data-labeling, data-quality-assurance, classification-annotation, content-tagging
- API Available
- No
- Language
- python
- Dependencies
- openai, anthropic, pandas, datasets, numpy
- Environment
- Python 3.11+
- Est. Runtime
- 10-60 minutes depending on dataset size and annotation complexity
- Tags
- script, automation, annotation, labeling, data
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
47.9Adoption
52
Quality
78
Freshness
80
Citations
46
Engagement
0