liweiya commited on
Commit ·
97c0ed5
1
Parent(s): 68761f3
update readme
Browse files
README.md
CHANGED
|
@@ -1,17 +1,51 @@
|
|
| 1 |
---
|
| 2 |
-
|
|
|
|
| 3 |
---
|
| 4 |
|
| 5 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
configs:
|
| 7 |
-
- config_name: objective_questions
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
- split: test
|
| 15 |
-
path: data/subjective_questions_public_40.json
|
| 16 |
---
|
| 17 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
configs:
|
| 3 |
+
|
| 4 |
---
|
| 5 |
|
| 6 |
---
|
| 7 |
+
license: apache-2.0
|
| 8 |
+
task_categories:
|
| 9 |
+
- text-generation
|
| 10 |
+
- question-answering
|
| 11 |
+
language:
|
| 12 |
+
- en
|
| 13 |
+
- zh
|
| 14 |
+
size_categories:
|
| 15 |
+
- n<1K
|
| 16 |
+
tags:
|
| 17 |
+
- deep-research
|
| 18 |
+
- benchmark
|
| 19 |
+
- evaluation
|
| 20 |
+
- research-agent
|
| 21 |
+
- long-form-generation
|
| 22 |
+
- RACE
|
| 23 |
+
pretty_name: ICBCBench Dataset
|
| 24 |
configs:
|
| 25 |
+
- config_name: objective_questions
|
| 26 |
+
data_files:
|
| 27 |
+
path: data/objective_questions_public_80.json
|
| 28 |
+
|
| 29 |
+
- config_name: subjective_questions
|
| 30 |
+
data_files:
|
| 31 |
+
path: data/subjective_questions_public_40.json
|
|
|
|
|
|
|
| 32 |
---
|
| 33 |
|
| 34 |
+
# ICBCBench dataset
|
| 35 |
+
|
| 36 |
+
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.
|
| 37 |
+
|
| 38 |
+
## Data
|
| 39 |
+
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.
|
| 40 |
+
|
| 41 |
+
---
|
| 42 |
+
|
| 43 |
+
## Directory Structure
|
| 44 |
+
|
| 45 |
+
```
|
| 46 |
+
data/
|
| 47 |
+
|-- objective_questions_public_80.json # 80 objective questions
|
| 48 |
+
|-- subjective_report_questions_public_40.jsonl # 40 subjective report questions
|
| 49 |
+
```
|
| 50 |
+
|
| 51 |
+
---
|