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README.md
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---
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dataset_info:
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- config_name:
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features:
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- name: text
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dtype: string
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- name: query_type
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dtype: string
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- config_name: full_dataset
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features:
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- name: text
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dtype: string
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- name: aw_section
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dtype: bool
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- name: page
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dtype: string
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- name: section_name
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dtype: string
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features:
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- name:
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dtype: string
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license: cc-by-4.0
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task_categories:
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- text-classification
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tags:
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- data-attribution
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- wikipedia
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- animal-welfare
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---
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# PAW Wikipedia
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##
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###
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- **90 general queries**: e.g., "Aldi", "How many McDonald's locations are there?"
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- Used to probe whether attribution signals are topic-specific
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## Citation
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```bibtex
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@article{
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title={Small edits, large models: How Wikipedia advocacy shapes LLM values},
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author={Navas, M and Brazilek, J and Gnauck, A},
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year={2026}
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---
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dataset_info:
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- config_name: paw_edits
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features:
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- name: text
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dtype: string
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- name: page
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dtype: string
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- name: section_name
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dtype: string
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- name: is_paw_edit
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dtype: bool
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- config_name: queries
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features:
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- name: query
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dtype: string
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- name: type
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dtype: string
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license: cc-by-4.0
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task_categories:
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- text-classification
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tags:
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- animal-welfare
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- wikipedia
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- data-attribution
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- llm-training
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---
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# PAW Wikipedia Attribution Dataset
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Data for the paper "Small edits, large models: How Wikipedia advocacy shapes LLM values" (Navas, Brazilek & Gnauck, 2026).
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## Files
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### paw_edits.csv (236 rows)
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Wikipedia sections used in training data attribution experiments. Each row is a text chunk from Wikipedia.
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| Column | Description |
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|--------|-------------|
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| `text` | The Wikipedia section text |
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| `page` | Wikipedia article title |
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| `section_name` | Section heading |
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| `is_paw_edit` | Whether this section was added/edited by Pro-Animal Wikipedians |
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118 PAW-edited sections (animal welfare content added by advocacy editors) paired with 118 control sections from the same Wikipedia articles.
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### queries.csv (170 rows)
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Queries used to measure training data influence.
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| Column | Description |
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|--------|-------------|
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| `query` | The query text |
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| `type` | `animal_welfare` (80 queries) or `general` (90 queries) |
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Animal welfare queries ask about animal welfare at specific companies/by specific politicians. General queries ask about the same entities without mentioning animal welfare.
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## Citation
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```bibtex
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@article{navas2026small,
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title={Small edits, large models: How Wikipedia advocacy shapes LLM values},
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author={Navas, M and Brazilek, J and Gnauck, A},
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year={2026}
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