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CONTRIBUTORS

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+Sunhong Ku
+Ilwoo Kwon
+Soyeon Kim
+Joonoh Kim
+Ji Won Kim
+Sangil Park
+Seongmin Park
+Jiho park
+Jinhyun Bang
+Seungwan Seo
+Kwanyoung Son
+Siwoo Song
+Jongyoon Song
+Jiho Shin
+Jaecheol Sim
+Taemin Yeom
+Jumin Oh
+Thekin Lyu
+Yonghyun Ryu
+Haeju Cheon
+Minjin Choi
+Seokhwan Choi
+Yoonjung Choi
+Yunjae Choi
+Kyuho Heo
+Eunjin Heo
+Taehun Huh
+Yoonjin Yoon
+Hyeri Ko
+Minje Kang
+Jiin Shin
+Seungmin Hwang
+Dongbin Lee
+Hyungjun Seo
+Kyuyeon Kim
+Christian Goltz
+Filip Ostrowski
+Bartlomiej Paziewski
+Joanna Życzyńska
+Wojciech Siemiatkowski
+Karolina Nowakowska
+Magdalena Kycia
+Joanna Calińska

README.md

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+---
+license: apache-2.0
+task_categories:
+- text-generation
+language:
+- ko
+- en
+- ja
+- zh
+- pl
+- de
+- pt
+- es
+- fr
+- it
+- ru
+- vi
+size_categories:
+- 1K<n<10K
+---
+
+# TRUEBench: A Benchmark for Assessing LLMs as Human Job Productivity Assistants
+TRUEBench is a benchmark introduced by Samsung Research to evaluate the performance of large language models (LLMs) as human job assistants which consists of over 2,400 realistic and challenging samples. 
+To assess performance in real-world applications, TRUEBench includes diverse dialog scenarios and language conditions.
+
+## Main Features
+
+- **Multilinguality**: The user instructions are written in a total of 12 languages, and TRUEBench includes numerous samples containing diverse linguistic constraints.
+
+- **Implicit Constraints**: In real-world scenarios, not all user intents may be explicitly stated in the instructions. TRUEBench includes samples with implicit constraints and is designed to evaluate those constraints through checklist-based evaluation.
+
+- **Multi-Turn**: In multi-turn conversations, context can shift dynamically, and there may be constraints that require referencing previous conversational context. TRUEBench is designed to reflect diverse multi-turn conversation scenarios.
+
+## Task Categories
+- Content Generation
+- Editing
+- Data Analysis
+- Reasoning
+- Hallucination
+- Safety
+- Repetition
+- Summarization
+- Translation
+- Multi-Turn
+
+## Languages
+- Korean (KO)
+- English (EN)
+- Japanese (JA)
+- Chinese (ZH)
+- Polish (PL)
+- Gernam (DE)
+- Portuguese (PT)
+- Spanish (ES)
+- French (FR)
+- Italian (IT)
+- Russian (RU)
+- Vietnamese (VI)
+
+## Data Structure
+```python
+{
+  "index": int,
+  "category": str,
+  "sub_category": str,
+  "turns": int,
+  "input": List[str],
+  "criteria": List[List[str]],
+}
+```

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