Test ML functions with fixed input tensors for reproducibility.
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cxcscmu/SkillLearnBench - Page 2
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Set up Python environment for NLP and preference optimization projects.
Implement loss functions in PyTorch with proper tensor operations.
Implement SimPO loss with length-normalized rewards and target margin.
Programmatically read, modify, and create Word documents (.docx) with python-docx library
Process templates with placeholder substitution and conditional sections
Classify documents by subject using keyword matching and text analysis
End-to-end pipeline for extracting, classifying, and organizing documents by subject
Extract text from DOCX and PPTX files for content analysis
Organize files into target directories based on classification results
Extract text content from PDF files for analysis and classification
Translating Python Enums and Protocols to Scala sealed traits and algebraic data types
Working with Circe JSON library in Scala for type-safe JSON processing
Scala collections, iterators, and functional programming patterns for Python developers
Translating Python generic types, variance, and type bounds to Scala 2.13
Translating Python's None/Optional to Scala's Option, Either, and Try types
Find available time slots in a calendar and schedule meetings while respecting constraints
Format dates and times according to specific requirements for meeting confirmations
Parse meeting request emails from JSON format and extract duration and time constraints
Extract calendar events, blocks, and time slots from PDF calendar files using pdfplumber
Loading and parsing CSV files with D3.js, data transformation, and handling missing values
D3.js force simulation for creating interactive bubble charts with clustering, collision detection, and physics-based positioning
Essential D3.js v6 concepts including selections, scales, SVG basics, and data binding for building interactive visualizations
D3.js techniques for tooltips, hover effects, click handlers, and cross-filtering between visualizations
Matching observation data to simulation output with exact datetime and depth binning
Reading and modifying Fortran namelist configuration files for scientific models
Running the General Lake Model (GLM) with configuration files and parameter calibration
Calculating RMSE metrics and parameter calibration for lake model validation
Reading, processing, and analyzing NetCDF output from lake simulation models
Track and manage travel budget across accommodations, meals, and activities
Filter accommodations, restaurants, and attractions by travel requirements
Load and parse CSV/TXT files from travel database for itinerary planning
Plan multi-city road trip routes using distance matrices and constraints
Extract key frames (I-frames) from video files using FFmpeg to identify scene changes and important moments.
Use OpenCV for image processing, grayscale conversion, and template matching to detect objects in images.
Generate structured CSV files from Python data using the csv module for tabular data export.
Master Excel lookup functions (VLOOKUP, HLOOKUP, INDEX/MATCH, XLOOKUP) for single and multiple criteria.
Use Excel statistical functions for descriptive analysis including percentiles, weighted calculations, and data summaries.
Use the xlsx skill tool to create, read, modify and analyze Excel spreadsheets with formulas and formatting.
Common operations and patterns for using the xlsx skill tool to manipulate Excel files programmatically.