metadata
license: apache-2.0
task_categories:
- text-generation
- question-answering
language:
- en
- zh
size_categories:
- n<1K
tags:
- deep-research
- benchmark
- evaluation
- research-agent
- long-form-generation
- RACE
pretty_name: ICBCBench Dataset
configs:
- config_name: objective_questions
data_files:
- data/objective_questions_public_80.json
- config_name: subjective_questions
data_files:
- data/subjective_questions_public_40.json
ICBCBench dataset
ICBCBench is a benchmark which aims at evaluating next-generation LLMs (LLMs with augmented capabilities due to added tooling, efficient prompting, access to search, etc.), containing questions that predominantly cover finance and politics.
Data
ICBCBench dataset consists of 120 questions with clear and unambiguous answers, covering both Chinese and English. It includes 40 subjective questions and 80 objective questions. The questions are primarily text-based, with a small number of multimodal examples. The dataset is divided into a public validation set and a test set with private answers and metadata.
Directory Structure
data/
|-- objective_questions_public_80.json # 80 objective questions
|-- subjective_questions_public_40.json # 40 subjective report questions