| --- |
| dataset_info: |
| features: |
| - name: seed_text |
| dtype: string |
| - name: tier |
| dtype: string |
| - name: animal_relevant |
| dtype: bool |
| - name: category |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 1379238368 |
| num_examples: 893935 |
| download_size: 572016561 |
| dataset_size: 1379238368 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| extra_gated_heading: "Access request: research seed corpus" |
| extra_gated_prompt: >- |
| This dataset contains de-identified excerpts of public online discussions about |
| animal welfare, provided solely as topic-grounding seed material for research. |
| Structured identifiers have been removed, but the free text originates from |
| third-party authors and is NOT licensed for redistribution. By requesting access |
| you agree to the conditions below. |
| extra_gated_fields: |
| I will use this dataset for research or analysis only: checkbox |
| I will not redistribute or republish the dataset or substantial excerpts of it: checkbox |
| I will not attempt to re-identify the authors of any text: checkbox |
| I understand the text originates from third-party authors and my use must comply with applicable law and platform terms: checkbox |
| Intended use (one line): text |
| --- |
| |
| # Animal-compassion seed corpus (gated) |
|
|
| 893,935 de-identified excerpts of public online discussion about animal welfare |
| (columns: seed_text, category, tier, animal_relevant). Used by CaML's synthetic |
| data pipelines as TOPIC grounding only: generation prompts inject short snippets |
| as inspiration and instruct the model never to copy text or adopt stance. |
| Generated corpora contain no text from this dataset. |
|
|
| Access is gated: use for research/analysis only, no redistribution, no |
| re-identification attempts. |
|
|
|
|
| ## Provenance and output verification (updated 16 July 2026) |
|
|
| This corpus is used strictly as topic-grounding seed material: generation prompts inject short |
| snippets as inspiration and instruct the model never to copy text or adopt stance. This is verified, |
| not asserted: a 13-word n-gram scan across all 893,935 seeds against CaML's released synthetic |
| corpora found overlap in only 10 seeds (0.001%), every one an official treaty name (e.g. the full |
| name of CITES) or standard statutory phrasing, and none of them user discussion text. |
|
|