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README.md

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 # Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions
-CanItEdit is a benchmark for evaluating LLMs on instructional code editing, the task of updating a program given a natural language instruction. The benchmark contains 54 hand-crafted Python programs with before and after code blocks, two types of natural language instructions (descriptive and lazy), and a hidden test suite.
+CanItEdit is a benchmark for evaluating LLMs on instructional code editing, the task of updating a program given a natural language instruction. The benchmark contains 105 hand-crafted Python programs with before and after code blocks, two types of natural language instructions (descriptive and lazy), and a hidden test suite.
 
 The dataset’s dual natural language instructions test model efficiency in two scenarios: 
 1) Descriptive: Detailed instructions replicate situations where users provide specific specifications or