| --- |
| 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 |
| ``` |
|
|
| --- |
|
|
