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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/<conversation_id>/
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`.
|