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Shivangsinha/MultiTaskTWONB1-ds

Dataset Card: Multi-Task German Text Classification Dataset Dataset Description This dataset contains German text samples labeled for three tasks: Fake News Detection (is_fake) Hate Speech Detection (is_hate_speech) 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… See the full description on the dataset page: https://huggingface.co/datasets/Shivangsinha/MultiTaskTWONB1-ds.

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Dataset Card

Dataset Card: Multi-Task German Text Classification Dataset

Dataset Description

This dataset contains German text samples labeled for three tasks:

  1. 1.Fake News Detection (`is_fake`)
  2. 2.Hate Speech Detection (`is_hate_speech`)
  3. 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**
textThe German text sample
is_fakeBinary label for fake news detection (0, 1 or -1)
is_hate_speechBinary label for hate speech detection (0, 1, or -1)
is_toxicBinary 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 #ibes0-1-1
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/VQof8kwRlL0-1-1
#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}")