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+ # Dataset Card: Multi-Task German Text Classification Dataset
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+
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+ ## Dataset Description
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+
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+ This dataset contains German text samples labeled for three tasks:
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+ 1. **Fake News Detection (`is_fake`)**
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+ 2. **Hate Speech Detection (`is_hate_speech`)**
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+ 3. **Toxicity Detection (`is_toxic`)**
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+
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+ Each entry in the dataset has binary or missing labels for the respective tasks:
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+ - `0`: Negative
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+ - `1`: Positive
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+ - `-1`: Not labeled for the task
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+
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+ The dataset is useful for training and evaluating models on multi-task learning objectives in the context of online German text.
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+
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+ ---
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+
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+ ## Dataset Structure
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+
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+ | **Column** | **Description** |
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+ |-----------------------|-----------------------------------------------------------|
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+ | `text` | The German text sample |
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+ | `is_fake` | Binary label for fake news detection (0 or 1) |
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+ | `is_hate_speech` | Binary label for hate speech detection (0, 1, or -1) |
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+ | `is_toxic` | Binary label for toxicity detection (0, 1, or -1) |
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+
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+ ### Sample Data
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+
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+ | **Text** | `is_fake` | `is_hate_speech` | `is_toxic` |
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+ |-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------|------------------|------------|
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+ | Im Studio von @1730Sat1live sprechen wir heute mit Stefan Schulte, dem Vorstandsvorsitzenden der @FraportAG, über die Lage am Frankfurter Flughafen... | 0 | -1 | -1 |
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+ | gigi hat einfach überhaupt keine lust mehr auf lucas. gigi 🤝 wir alle #ibes | 0 | -1 | -1 |
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+ | In Österreich 🇦🇹 ist Bundespräsident @vanderbellen für eine 2. Amtszeit angelobt worden... | 0 | -1 | -1 |
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+ | Was ist der Mindestlohn pro Stunde in Vietnam? https://t.co/VQof8kwRlL | 0 | -1 | -1 |
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+ | #GretaThunberg will jetzt den #Kapitalismus überwinden... | 0 | -1 | -1 |
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+
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+ ---
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+
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+ ## Usage
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+
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+ This dataset is designed for training and evaluating multi-task classification models in German. The tasks include:
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+ - Fake news detection
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+ - Hate speech identification
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+ - Toxicity assessment
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+
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+ ### Example Usage in Python
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+
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+ ```python
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+ import pandas as pd
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+
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+ # Load the dataset
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+ df = pd.read_csv("path_to_dataset.csv")
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+
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+ # Access text and labels
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+ for index, row in df.iterrows():
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+ text = row['text']
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+ is_fake = row['is_fake']
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+ is_hate_speech = row['is_hate_speech']
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+ is_toxic = row['is_toxic']
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+
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+ # Example: Print the data
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+ print(f"Text: {text}, Fake: {is_fake}, Hate Speech: {is_hate_speech}, Toxic: {is_toxic}")
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+ ```
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+
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+