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shivalika-singh

PROFILE

Shivalika-singh

Developed multilingual evaluation capabilities for the lm-evaluation-harness repositories, integrating the Global MMLU Lite dataset to support culturally sensitive benchmarking across 15 languages. Delivered new evaluation tasks, standardized YAML configurations, and Python utilities for automated config generation, enhancing maintainability and cross-language assessment. Improved documentation and streamlined configuration management enabled teams to benchmark language models more comprehensively. In the huggingface/blog repository, addressed a documentation issue by correcting author attribution in markdown blog posts, reinforcing contributor recognition and content integrity. Demonstrated expertise in Python, YAML, and Markdown, with a focus on dataset integration, configuration management, and precise, low-impact quality improvements across projects.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

3Total
Bugs
1
Commits
3
Features
2
Lines of code
294
Activity Months2

Work History

March 2025

1 Commits

Mar 1, 2025

March 2025 focused on a targeted quality fix in the huggingface/blog repository to ensure accurate attribution in two blog posts (aya-expanse.md and mask2former.md), reinforcing contributor recognition, content integrity, and governance.

December 2024

2 Commits • 2 Features

Dec 1, 2024

Month: 2024-12. Focused on expanding multilingual evaluation capabilities across two lm-evaluation-harness repositories, introducing Global MMLU Lite across 15 languages to enable culturally sensitive and language-agnostic benchmarking. Key features delivered include two new Global MMLU Lite evaluation tasks with corresponding readmes, default YAML configurations, and Python utilities to generate language-specific configuration files. No major bug fixes were reported in this period. Impact: broadened evaluation coverage, streamlined cross-language benchmarking, and improved maintainability through standardized configs and docs, enabling teams to assess model performance more comprehensively. Skills demonstrated include Python scripting for config generation, YAML/configuration management, documentation, dataset integration, and cross-repo collaboration.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

MarkdownPythonYAML

Technical Skills

Configuration ManagementDataset IntegrationDocumentationMultilingual EvaluationNatural Language Processing

Repositories Contributed To

3 repos

Overview of all repositories you've contributed to across your timeline

red-hat-data-services/lm-evaluation-harness

Dec 2024 Dec 2024
1 Month active

Languages Used

PythonYAML

Technical Skills

Configuration ManagementDataset IntegrationMultilingual EvaluationNatural Language Processing

swiss-ai/lm-evaluation-harness

Dec 2024 Dec 2024
1 Month active

Languages Used

PythonYAML

Technical Skills

Configuration ManagementDataset IntegrationMultilingual EvaluationNatural Language Processing

huggingface/blog

Mar 2025 Mar 2025
1 Month active

Languages Used

Markdown

Technical Skills

Documentation