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.