File size: 3,579 Bytes
e047192
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0026e57
e047192
 
 
 
0026e57
e047192
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
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
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
# Dataset Card: Multi-Task German Text Classification Dataset

## Dataset Description

This dataset contains German text samples labeled for three tasks:
1. **Fake News Detection (`is_fake`)**
2. **Hate Speech Detection (`is_hate_speech`)**
3. **Toxicity Detection (`is_toxic`)**

Each entry in the dataset has binary or missing labels for the respective tasks:
- `0`: Negative
- `1`: Positive
- `-1`: Not labeled for the task

The dataset is useful for training and evaluating models on multi-task learning objectives in the context of online German text.

---

## Dataset Structure

| **Column**           | **Description**                                           |
|-----------------------|-----------------------------------------------------------|
| `text`               | The German text sample                                    |
| `is_fake`            | Binary label for fake news detection (0, 1 or -1)             |
| `is_hate_speech`     | Binary label for hate speech detection (0, 1, or -1)      |
| `is_toxic`           | Binary label for toxicity detection (0, 1, or -1)         |

### Sample Data
This is only top few item of dataset where fake news is given as 0 or 1 but other 2 which are going to be hidden are in -1. similarly for hatespeech and toxicity , other 2 are -1

| **Text**                                                                                                                                                                                | `is_fake` | `is_hate_speech` | `is_toxic` |
|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------|------------------|------------|
| Im Studio von @1730Sat1live sprechen wir heute mit Stefan Schulte, dem Vorstandsvorsitzenden der @FraportAG, über die Lage am Frankfurter Flughafen...                                 | 0         | -1               | -1         |
| gigi hat einfach überhaupt keine lust mehr auf lucas. gigi 🤝 wir alle #ibes                                                                                                              | 0         | -1               | -1         |
| In Österreich 🇦🇹 ist Bundespräsident @vanderbellen für eine 2. Amtszeit angelobt worden...                                                                                               | 0         | -1               | -1         |
| Was ist der Mindestlohn pro Stunde in Vietnam? https://t.co/VQof8kwRlL                                                                                                                  | 0         | -1               | -1         |
| #GretaThunberg will jetzt den #Kapitalismus überwinden...                                                                                                                                | 0         | -1               | -1         |

---

## Usage

This dataset is designed for training and evaluating multi-task classification models in German. The tasks include:
- Fake news detection
- Hate speech identification
- Toxicity assessment

### Example Usage in Python

```python
import pandas as pd

# Load the dataset
df = pd.read_csv("path_to_dataset.csv")

# Access text and labels
for index, row in df.iterrows():
    text = row['text']
    is_fake = row['is_fake']
    is_hate_speech = row['is_hate_speech']
    is_toxic = row['is_toxic']

    # Example: Print the data
    print(f"Text: {text}, Fake: {is_fake}, Hate Speech: {is_hate_speech}, Toxic: {is_toxic}")
```