antvis/GPT-Vis
Nov 2024 – Nov 2024
1 Month active
Languages Used
JSONMarkdownYAML
Technical Skills
AI Prompt EngineeringData EngineeringData VisualizationDocumentationMachine Learning DatasetsNatural Language Processing
chenluli
PROFILE
Chenluli
Chen Luuli developed dataset-driven evaluation features for the antvis/GPT-Vis repository, focusing on narrative text analysis and chart recommendation model assessment. They created structured evaluation datasets and documentation artifacts in Markdown and JSON, supporting both English and Chinese use cases. Their work included updating CI workflows in YAML to integrate new dataset directories, ensuring robust data governance for model evaluation pipelines. By delivering agent and text2chart evaluation data, Chen enabled more effective training and documentation for narrative text analysis features. The depth of their contributions is reflected in the comprehensive datasets and improved documentation, which facilitate ongoing model evaluation and fine-tuning.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
23,595
Activity Months1
Your Network
14 peopleWork History
November 2024
2 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for antvis/GPT-Vis focusing on dataset-driven improvements for narrative text analysis and chart recommendation evaluation. Highlights include the delivery of evaluation datasets and documentation artifacts, CI workflow enhancements, and strengthened data governance for model evaluation pipelines.
2 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for antvis/GPT-Vis focusing on dataset-driven improvements for narrative text analysis and chart recommendation evaluation. Highlights include the delivery of evaluation datasets and documentation artifacts, CI workflow enhancements, and strengthened data governance for model evaluation pipelines.
November 2024
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
JSONMarkdownYAML
Technical Skills
AI Prompt EngineeringData EngineeringData VisualizationDocumentationMachine Learning DatasetsNatural Language Processing
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