File size: 2,369 Bytes
c7c297a
10a338c
 
 
 
 
 
 
 
 
3fe511b
10a338c
 
 
3fe511b
 
 
 
 
 
 
 
 
 
 
 
c7c297a
10a338c
 
 
3fe511b
10a338c
3fe511b
 
 
 
10a338c
3fe511b
 
10a338c
3fe511b
 
 
10a338c
3fe511b
10a338c
3fe511b
 
 
10a338c
3fe511b
10a338c
3fe511b
10a338c
3fe511b
 
 
 
 
 
 
 
 
 
10a338c
3fe511b
10a338c
3fe511b
 
 
 
 
10a338c
3fe511b
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
---
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`.