Update README.md
Browse files
README.md
CHANGED
|
@@ -1,53 +1,56 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
---
|
| 4 |
-
#
|
| 5 |
|
| 6 |
-
|
| 7 |
|
| 8 |
---
|
| 9 |
|
| 10 |
-
## 📁
|
| 11 |
|
| 12 |
-
|
|
| 13 |
-
|
|
| 14 |
-
| `
|
| 15 |
-
| `
|
| 16 |
-
| `
|
|
|
|
| 17 |
|
| 18 |
-
> **
|
| 19 |
|
| 20 |
---
|
| 21 |
|
| 22 |
-
##
|
| 23 |
|
| 24 |
-
- **
|
| 25 |
-
- **
|
| 26 |
-
- **
|
| 27 |
-
- **
|
| 28 |
|
| 29 |
---
|
| 30 |
|
| 31 |
-
## 🔍
|
| 32 |
|
| 33 |
-
- **
|
| 34 |
-
- **
|
| 35 |
-
- **
|
|
|
|
| 36 |
|
| 37 |
---
|
| 38 |
|
| 39 |
-
## 🛠️
|
| 40 |
|
| 41 |
-
###
|
| 42 |
|
| 43 |
-
|
| 44 |
|
| 45 |
```python
|
| 46 |
import pandas as pd
|
| 47 |
|
| 48 |
-
#
|
| 49 |
-
df = pd.read_csv('
|
| 50 |
|
| 51 |
-
#
|
| 52 |
print(df.head())
|
| 53 |
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
---
|
| 4 |
+
# 🚗 BEst DrivEr’s License Performer (BEEP) Dataset
|
| 5 |
|
| 6 |
+
**BEEP** is a challenge benchmark designed to evaluate large language models (LLMs) through a simulation of the Italian driver’s license exam. This dataset focuses on understanding traffic laws and reasoning through driving situations, replicating the complexity of the Italian licensing process.
|
| 7 |
|
| 8 |
---
|
| 9 |
|
| 10 |
+
## 📁 Dataset Structure
|
| 11 |
|
| 12 |
+
| Column | Data Type | Description |
|
| 13 |
+
| ---------------------- | ------------- | --------------------------------------------------------------------------- |
|
| 14 |
+
| `Categorisation Structure` | [String] | Hierarchical categorisation of major, minor, and subcategories for each question |
|
| 15 |
+
| `Question Text` | [String] | The actual content of the question |
|
| 16 |
+
| `True Answer` | [Boolean] | True or false answer |
|
| 17 |
+
| `Figure` | [String] | Reference to an accompanying figure, if present |
|
| 18 |
|
| 19 |
+
> **Note**: Questions are organised into a classification system that reflects the complexity of road rules and signage.
|
| 20 |
|
| 21 |
---
|
| 22 |
|
| 23 |
+
## 📊 Summary Statistics
|
| 24 |
|
| 25 |
+
- **Total Questions**: [number]
|
| 26 |
+
- **Questions with Figures**: [number]
|
| 27 |
+
- **Main Categories**: [number]
|
| 28 |
+
- **Last Updated**: 01/07/2020
|
| 29 |
|
| 30 |
---
|
| 31 |
|
| 32 |
+
## 🔍 Key Features
|
| 33 |
|
| 34 |
+
- **Source**: The dataset is derived from the publicly accessible official document "Listato A e B", provided by the Italian Ministry of Infrastructure and Transport. It includes all questions related to driver’s license categories A and B.
|
| 35 |
+
- **Hierarchical Structure**: Questions are classified into major categories, such as "Road Signage", and further subdivided into minor and subcategories for precise categorisation.
|
| 36 |
+
- **Question Format**: The dataset primarily consists of true/false questions aimed at evaluating knowledge of traffic laws, signage, and driving behavior.
|
| 37 |
+
- **Exclusions**: For the **CALAMITA** challenge, questions containing images are excluded, focusing solely on text-based questions.
|
| 38 |
|
| 39 |
---
|
| 40 |
|
| 41 |
+
## 🛠️ Using the Dataset
|
| 42 |
|
| 43 |
+
### Loading Example
|
| 44 |
|
| 45 |
+
You can load this dataset in Python using `pandas`:
|
| 46 |
|
| 47 |
```python
|
| 48 |
import pandas as pd
|
| 49 |
|
| 50 |
+
# Load the dataset
|
| 51 |
+
df = pd.read_csv('beep_dataset.csv')
|
| 52 |
|
| 53 |
+
# Display the first few rows of the dataset
|
| 54 |
print(df.head())
|
| 55 |
|
| 56 |
+
|