---
dataset_info:
  features:
  - name: original_id
    dtype: int64
  - name: is-augmented
    dtype: string
  - name: split
    dtype: string
  - name: question
    dtype: string
  - name: false_premise
    dtype: bool
  - name: num_hops
    dtype: string
  - name: fact_type
    dtype: string
  - name: Chinese
    dtype: string
  - name: Vietnamese
    dtype: string
  - name: Thai
    dtype: string
  - name: Indonesian
    dtype: string
  - name: Malay
    dtype: string
  - name: Khmer
    dtype: string
  - name: English
    dtype: string
  - name: Lao
    dtype: string
  splits:
  - name: test
    num_bytes: 1186415
    num_examples: 1198
  download_size: 556876
  dataset_size: 1186415
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
language:
- multilingual
task_categories:
- question-answering
---

This dataset is from the paper [Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations](https://huggingface.co/papers/2504.13816). It is designed to evaluate how well LLMs recognize the boundaries of their knowledge across multiple languages.

The dataset contains questions in English and several other languages (Chinese, Vietnamese, Thai, Indonesian, Malay, Khmer, and Lao), along with information about whether the question is designed to test knowledge boundaries (e.g., whether it contains a false premise).