editing citations and pip link

README.md

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 # Introduction
 Our benchmark is described in [ChiKhaPo: A Large-Scale Multilingual Benchmark for Evaluating Lexical Comprehension and Generation in Large Language Models](https://www.arxiv.org/abs/2510.16928).
-ChiKhaPo contains 4 word-level tasks, with two directions each (comprehension and generation), intended to benchmark generative models for lexical competence. The dataset itself contains the the lexicons that our tasks rely on. See our [GitHub](https://github.com/ec5ug/chikhapo) or [pip package]() for instructions on running our benchmark
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+ChiKhaPo contains 4 word-level tasks, with two directions each (comprehension and generation), intended to benchmark generative models for lexical competence. The dataset itself contains the the lexicons that our tasks rely on. Our lexicons drew from PanLex, [GATITOS](https://huggingface.co/datasets/google/smol), and [IDS](https://ids.clld.org/) datasets See our [GitHub](https://github.com/ec5ug/chikhapo) or [pip package](https://pypi.org/project/chikhapo/) for instructions on running our benchmark
 
 # Dataset
 **Subset Names**: The subset names in this dataset correspond to the language pairs they represent. The source and target language are represented as ISO-3 codes and separated by an `_`. For example, the subset name to retrieve the Spanish-English dataset is `spa_eng`.