modelscope/data-juicer
Jul 2025 – Jan 2026
2 Months active
Languages Used
PythonYAMLMarkdown
Technical Skills
Data FilteringData Quality AssessmentLLM IntegrationMachine Learning Operationscommunity engagementdocumentation
ShenQianli
PROFILE
Shenqianli
Contributed to the modelscope/data-juicer repository by developing advanced data attribution and relevance filtering features, introducing new operators to refine data analysis and improve downstream model training. Leveraged Python and YAML to implement filters such as in-context influence, instruction-following difficulty, LLM perplexity, task relevance, and text embedding similarity, enhancing both linguistic and task-specific data quality assessment. Additionally, focused on community engagement by updating documentation to streamline onboarding and improve access to support resources, including integration of Q&A Copilot and refined communication links. Demonstrated strengths in data filtering, machine learning operations, and user support, with a commit-driven, collaborative development approach.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,329
Activity Months2
Your Network
89 peopleWork History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered a documentation-focused update for modelscope/data-juicer to improve onboarding and community access. No major code changes or bug fixes were required this month. The update highlights Data-Juicer Q&A Copilot and refines DingTalk/Discord links and QR codes to streamline access to community resources, strengthening user self-service and engagement with support channels.
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered a documentation-focused update for modelscope/data-juicer to improve onboarding and community access. No major code changes or bug fixes were required this month. The update highlights Data-Juicer Q&A Copilot and refines DingTalk/Discord links and QR codes to streamline access to community resources, strengthening user self-service and engagement with support channels.
January 2026
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 Monthly Summary: Delivered Advanced data attribution and relevance filtering in Data-Juicer, introducing new operators to enhance data analysis and refinement. Implemented filters include in_context_influence_filter, instruction_following_difficulty_filter, llm_perplexity_filter, llm_task_relevance_filter, and text_embd_similarity_filter to improve linguistic and task-specific relevance assessment. Major bugs fixed: none documented this month. Impact: Strengthened data quality signals to improve downstream model training and evaluation, enabling more accurate attribution and relevance assessment and better decision-making. Technologies/skills demonstrated: operator design, data attribution, relevance filtering, ML data tooling, Python, commit-driven development. Commit reference: 950caf1f6b71782b842a4f38605cc474804ffcd2 in repo modelscope/data-juicer.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 Monthly Summary: Delivered Advanced data attribution and relevance filtering in Data-Juicer, introducing new operators to enhance data analysis and refinement. Implemented filters include in_context_influence_filter, instruction_following_difficulty_filter, llm_perplexity_filter, llm_task_relevance_filter, and text_embd_similarity_filter to improve linguistic and task-specific relevance assessment. Major bugs fixed: none documented this month. Impact: Strengthened data quality signals to improve downstream model training and evaluation, enabling more accurate attribution and relevance assessment and better decision-making. Technologies/skills demonstrated: operator design, data attribution, relevance filtering, ML data tooling, Python, commit-driven development. Commit reference: 950caf1f6b71782b842a4f38605cc474804ffcd2 in repo modelscope/data-juicer.
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance90.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
MarkdownPythonYAML
Technical Skills
Data FilteringData Quality AssessmentLLM IntegrationMachine Learning Operationscommunity engagementdocumentationuser support
Repositories Contributed To
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