--- license: cc-by-4.0 language: - en - zh - de tags: - deliberation - democracy - polis - votes - habermas-machine - collective-dialogue pretty_name: Open Deliberation configs: - config_name: text_corpus data_files: text/deliberation_combined.csv default: true - config_name: polis_votes data_files: - split: comments path: polis_votes/*/comments.csv - split: votes path: polis_votes/*/votes.csv - split: summary path: polis_votes/*/summary.csv --- # Open Deliberation Two related releases in one dataset repo: | Config | What it is | Vote-preserving? | Size | |--------|------------|------------------|------| | `text_corpus` | Pruned multi-source **text** (Polis comments + Habermas + OpenAI Remesh) | **No** — only optional agree/disagree tallies in `extra` | ~1.8 MB | | `polis_votes` | Polis **comments + votes + summary** per conversation | **Yes** — participant×comment vote matrix | ~lean pack | ```python from datasets import load_dataset text = load_dataset("jonaskg/open-deliberation", "text_corpus") votes = load_dataset("jonaskg/open-deliberation", "polis_votes") ``` ## Why two configs? Polis’s power is the **vote matrix**: each participant voting agree/disagree/pass on each comment, which enables PCA opinion-group maps. A text-only export loses that geometry. `text_corpus` is for NLP / scenario / mediation research. `polis_votes` is for computational social choice and opinion-map replication. ## `text_corpus` columns `source`, `corpus`, `record_type`, `topic`, `question`, `text`, `stance_or_label`, `agreement_pct`, `extra` Sources: Polis comments (CC BY 4.0), Habermas Machine (*Science* 2024), OpenAI Democratic Inputs / Remesh. ## `polis_votes` layout ``` polis_votes// comments.csv votes.csv summary.csv ``` Lean conversations included (vote matrices for March On and the largest Austria Klimarat dumps omitted to keep the release downloadable). Case study index: [compdemocracy.org](https://compdemocracy.org/). ## Attribution (Polis) Data was gathered using the Polis software (compdemocracy.org/polis) and is sub-licensed under CC BY 4.0 with Attribution to The Computational Democracy Project. ## Notes - Not an endorsement of political positions in the data. - Habermas / Remesh appear only in `text_corpus`.