| --- |
| license: apache-2.0 |
| tags: |
| - factuality |
| - grounding |
| - llm-evaluation |
| - text |
| - preprocessing |
| --- |
| --- |
|
|
|
|
| # Facts Grounding Processed |
|
|
| This dataset is a **processed and reformatted version** of [`google/FACTS-grounding-public`](https://huggingface.co/datasets/google/FACTS-grounding-public), designed for **LLM factuality and grounding evaluation**. |
| It has been cleaned, enriched with additional metadata, and split into **train** and **validation** sets. |
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| --- |
|
|
| ## Dataset Summary |
|
|
| The dataset contains prompts, context documents, and target answers that challenge models to stay grounded in provided context rather than hallucinating. |
| Processing steps added extra features like: |
| - `prompt` – consolidated instruction + user request + context |
| - `has_url_in_context` – boolean flag for URLs in context |
| - `len_system`, `len_user`, `len_context` – token/word length statistics |
| - `row_id` – unique identifier for tracking |
|
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| --- |
|
|
| ## Dataset Structure |
|
|
| **Splits:** |
| - **train** – 688 rows |
| - **validation** – 172 rows |
|
|
| **Features:** |
| | Feature | Type | Description | |
| |-----------------------|---------|-------------| |
| | `system_instruction` | string | System-level instruction template | |
| | `user_request` | string | User query or prompt | |
| | `context_document` | string | Provided factual context | |
| | `full_prompt` | string | Original concatenated instruction + context | |
| | `prompt` | string | Processed consolidated prompt | |
| | `has_url_in_context` | bool | Whether the context contains a URL | |
| | `len_system` | int64 | Length of system instruction | |
| | `len_user` | int64 | Length of user request | |
| | `len_context` | int64 | Length of context document | |
| | `target` | string | Grounded factual answer | |
| | `row_id` | int64 | Unique row identifier | |
|
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| --- |
|
|
| ## Processing |
|
|
| The preprocessing was done in Python with the Hugging Face `datasets` library: |
| 1. Loaded the original dataset (`google/FACTS-grounding-public`) |
| 2. Added custom features (URL detection, length counts) |
| 3. Generated combined prompt field |
| 4. Split into train (80%) and validation (20%) |
| 5. Exported as Arrow and JSONL formats |
|
|
| The preprocessing script is included in the repository for reproducibility. |
|
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| --- |
|
|
| ## Intended Uses |
|
|
| - **LLM grounding & hallucination evaluation** |
| - Prompt engineering experiments |
| - Fine-tuning or zero/few-shot evaluation pipelines |
| - Data formatting utilities |
|
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| --- |
|
|
| ## How to Use |
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|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("GenAIDevTOProd/facts-grounding-processed") |
| |
| print(dataset["train"][0]) |
| |
| License: |
| This processed dataset is licensed under Apache 2.0. |
| The original data source is google/FACTS-grounding-public. |
