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--- |
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language: en |
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tags: |
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- claim-grounding |
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- natural-language-inference |
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- reasoning |
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- classification |
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- grounding |
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- hallucination |
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pretty_name: Grounding Claims Dataset |
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license: cc-by-nc-4.0 |
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task_categories: |
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- text-classification |
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--- |
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The **Grounding Claims Dataset** is a multi-domain dataset for evaluating whether a natural language **claim** is grounded (i.e., supported or entailed) by a **document**. The dataset is organized into four subsets, each requiring different types of reasoning: |
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- **general** (1500 examples): Broad, everyday reasoning |
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- **logical** (1000 examples): Logical consistency and inference |
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- **time_and_dates** (100 examples): Temporal reasoning |
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- **prices_and_math** (100 examples): Numerical and mathematical reasoning |
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Each entry consists of: |
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- `doc`: A short context or passage |
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- `claim`: A natural language statement to verify against the `doc` |
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- `label`: A binary label indicating whether the claim is grounded in the document (`1` for grounded, `0` for ungrounded) |
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- `dataset`: The source subset name (e.g., `"general"`) |
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--- |
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## 📌 Features |
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| Feature | Type | Description | |
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|----------|---------|------------------------------------------------| |
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| `doc` | string | The document or passage providing the context | |
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| `claim` | string | A statement to verify against the document | |
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| `label` | string | grounded or ungrounded | |
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| `dataset`| string | The domain/subset the instance belongs to | |
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--- |
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## 📊 Usage |
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This dataset can be used to train and evaluate models on factual verification, natural language inference (NLI), and claim grounding tasks across multiple domains. |
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--- |
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## 🏷️ Labels |
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- `grounded` — The claim is grounded in the document. |
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- `ungrounded` — The claim is ungrounded or contradicted by the document. |
