From 685b119780caa0679166f433f3a32b72b4345771 Mon Sep 17 00:00:00 2001 From: endolith Date: Sun, 13 Sep 2026 11:03:34 -0400 Subject: [PATCH 1/5] Fix typos ported from PrefLib-www Port typo fixes originally made in PrefLib-www (e628e26, June 2023 typo_fixes stack) to current upstream/main datasets/. Covers glasgow, ski, web, shirt, cleanweb, oakland, pierce, sf, sl, takomapark, frenchapproval, frenchrate, frenchratecombi. The same sweep also covered kidney, but upstream has since removed every instance labelled "alturists" as faulty (7d9db8b5), so there is nothing left there to correct. Excludes datasets_old_format/ legacy copies and LFS .dat blobs. Co-authored-by: opencode --- datasets/00008 - glasgow/info.txt | 2 +- datasets/00010 - ski/info.txt | 2 +- datasets/00011 - web/info.txt | 2 +- datasets/00012 - shirt/info.txt | 2 +- datasets/00015 - cleanweb/info.txt | 2 +- datasets/00019 - oakland/info.txt | 2 +- datasets/00020 - pierce/info.txt | 2 +- datasets/00021 - sf/info.txt | 2 +- datasets/00022 - sl/info.txt | 2 +- datasets/00023 - takomapark/info.txt | 2 +- datasets/00026 - frenchapproval/info.txt | 4 ++-- datasets/00027 - frenchrate/00027-00000001.toc | 2 +- datasets/00027 - frenchrate/info.txt | 2 +- datasets/00029 - frenchratecombi/info.txt | 2 +- 14 files changed, 15 insertions(+), 15 deletions(-) diff --git a/datasets/00008 - glasgow/info.txt b/datasets/00008 - glasgow/info.txt index bfc291a7c..d9f8173b6 100644 --- a/datasets/00008 - glasgow/info.txt +++ b/datasets/00008 - glasgow/info.txt @@ -8,7 +8,7 @@ Series Number: 00008 Publication Date: 2013-08-17 -Description:

This data set contains the results of the 2007 Glasgow City Council elections, seperated by Ward. There are 21 wards, each with different candidates and voters. These files report the results of all the Ward level elections which were origionally held under STV. In this data set there is a maximum of 13 candidates and a minimum of 8 candidates. The maximum number of voters is 12,744 and the minimum is 5,199.

The data presented here was donated by Jeffrey O'Neill who runs the site OpenSTV.org.

+Description:

This data set contains the results of the 2007 Glasgow City Council elections, separated by Ward. There are 21 wards, each with different candidates and voters. These files report the results of all the Ward level elections which were originally held under STV. In this data set there is a maximum of 13 candidates and a minimum of 8 candidates. The maximum number of voters is 12,744 and the minimum is 5,199.

The data presented here was donated by Jeffrey O'Neill who runs the site OpenSTV.org.

Required Citations: Jeffery O'Neill. Open STV. www.OpenSTV.org, 2013. diff --git a/datasets/00010 - ski/info.txt b/datasets/00010 - ski/info.txt index 661af785d..c5cb4a119 100644 --- a/datasets/00010 - ski/info.txt +++ b/datasets/00010 - ski/info.txt @@ -8,7 +8,7 @@ Series Number: 00010 Publication Date: 2014-07-09 -Description:

This dataset contains the Cross Country Skiing and Ski Jumping results from the 2006-2009 World Championships. This data is provided by Robert Bredereck at TU Berlin. Robert provides tools to compute Kemeny rankings on this data at his website at TU Berlin.

The results from each competition in the season provides a rank ordering over the candidates (competitiors). We have created a toc datafile where all candidates are tied, at the end of rankings.

Note that this dataset used to contain the Formula 1 data. A larger set of the F1 data is now available in the 00052 and 00053 datasets.

+Description:

This dataset contains the Cross Country Skiing and Ski Jumping results from the 2006-2009 World Championships. This data is provided by Robert Bredereck at TU Berlin. Robert provides tools to compute Kemeny rankings on this data at his website at TU Berlin.

The results from each competition in the season provides a rank ordering over the candidates (competitors). We have created a toc datafile where all candidates are tied, at the end of rankings.

Note that this dataset used to contain the Formula 1 data. A larger set of the F1 data is now available in the 00052 and 00053 datasets.

Required Citations: diff --git a/datasets/00011 - web/info.txt b/datasets/00011 - web/info.txt index a6686bade..3d479d18b 100644 --- a/datasets/00011 - web/info.txt +++ b/datasets/00011 - web/info.txt @@ -8,7 +8,7 @@ Series Number: 00011 Publication Date: 2014-07-09 -Description:

This dataset contains the results of comparing websearches across Bing, Google, Yahoo, and Ask. This data is provided by Robert Bredereck at TU Berlin. Robert provides tools to compute Kemeny rankings on this data at his website at TU Berlin.

The data files marked big contain around 2000 candidates each while the data files marked small contain between 100 and 200 results. The search querys are shown in the names of the individual data files below. For the WebImpact files the number of search results for a particular term were used to creage a complete ranking over the search terms. These files measure the webimpact of various world cities and countries. The results are not complete and not every candidate (website) is ranked by all the voters (search engines). We have extended this data into tournament graphs, weighted majoirty graphs, and created a toc dataset where all candidates are tied, at the end of rankings.

+Description:

This dataset contains the results of comparing web searches across Bing, Google, Yahoo, and Ask. This data is provided by Robert Bredereck at TU Berlin. Robert provides tools to compute Kemeny rankings on this data at his website at TU Berlin.

The data files marked big contain around 2000 candidates each while the data files marked small contain between 100 and 200 results. The search queries are shown in the names of the individual data files below. For the WebImpact files the number of search results for a particular term were used to create a complete ranking over the search terms. These files measure the webimpact of various world cities and countries. The results are not complete and not every candidate (website) is ranked by all the voters (search engines). We have extended this data into tournament graphs, weighted majority graphs, and created a toc dataset where all candidates are tied, at the end of rankings.

Required Citations: diff --git a/datasets/00012 - shirt/info.txt b/datasets/00012 - shirt/info.txt index b2b528e65..b5e029c48 100644 --- a/datasets/00012 - shirt/info.txt +++ b/datasets/00012 - shirt/info.txt @@ -8,7 +8,7 @@ Series Number: 00012 Publication Date: 2014-07-09 -Description:

This dataset contains complete rank orderings of T-Shirt designs voted on by members of the Optimization Research Group at NICTA. There are 11 designs (candidates) and 30 votes about these deisgns. Voters were required to submit complete strict orders.

This data has been kindly donated by Carleton Coffrin.

+Description:

This dataset contains complete rank orderings of T-Shirt designs voted on by members of the Optimization Research Group at NICTA. There are 11 designs (candidates) and 30 votes about these designs. Voters were required to submit complete strict orders.

This data has been kindly donated by Carleton Coffrin.

Required Citations: diff --git a/datasets/00015 - cleanweb/info.txt b/datasets/00015 - cleanweb/info.txt index f93a1f5e3..30d940a90 100644 --- a/datasets/00015 - cleanweb/info.txt +++ b/datasets/00015 - cleanweb/info.txt @@ -8,7 +8,7 @@ Series Number: 00015 Publication Date: 2014-07-09 -Description:

This dataset contains the results of comparing websearches across Bing, Google, Yahoo, and Ask. This data is provided by Robert Bredereck at TU Berlin. Robert provides tools to compute Kemeny rankings on this data at his website at TU Berlin.

These data files differ from the other set of web data in that these files are forced to be complete. This means that the results are restricted to only those candidates (sites) that appear in all three datasets. The data files marked big contain around 200 (max 242) candidates each while the data files marked small contain between 10 and 50 candidates. The search querys are shown in the names of the individual data files below. For the WebImpact files the number of search results for a particular term were used to creage a complete ranking over the search terms. These files measure the webimpact of various world cities and countries. We have extended this data into tournament graphs and weighted majoirty graphs.

+Description:

This dataset contains the results of comparing web searches across Bing, Google, Yahoo, and Ask. This data is provided by Robert Bredereck at TU Berlin. Robert provides tools to compute Kemeny rankings on this data at his website at TU Berlin.

These data files differ from the other set of web data in that these files are forced to be complete. This means that the results are restricted to only those candidates (sites) that appear in all three datasets. The data files marked big contain around 200 (max 242) candidates each while the data files marked small contain between 10 and 50 candidates. The search queries are shown in the names of the individual data files below. For the WebImpact files the number of search results for a particular term were used to create a complete ranking over the search terms. These files measure the webimpact of various world cities and countries. We have extended this data into tournament graphs and weighted majority graphs.

Required Citations: diff --git a/datasets/00019 - oakland/info.txt b/datasets/00019 - oakland/info.txt index 1b31343bb..58e3e4008 100644 --- a/datasets/00019 - oakland/info.txt +++ b/datasets/00019 - oakland/info.txt @@ -8,7 +8,7 @@ Series Number: 00019 Publication Date: 2014-07-09 -Description:

The 2010 Oakland Data contains the results from the city council and mayoral elections held in Oakland, CA in 2010. The set contains 7 distinct elections with between 4 and 11 canddiates and 900 and 145,000 voters.

Note that these elections were conducted under a ranked voting system which allowed blank entries. In processing this data for PrefLib we have ignored blanks and only report the order over the candidates.

The data on this page was donated by Jeffrey O'Neill who runs the site OpenSTV.org.

+Description:

The 2010 Oakland Data contains the results from the city council and mayoral elections held in Oakland, CA in 2010. The set contains 7 distinct elections with between 4 and 11 candidates and 900 and 145,000 voters.

Note that these elections were conducted under a ranked voting system which allowed blank entries. In processing this data for PrefLib we have ignored blanks and only report the order over the candidates.

The data on this page was donated by Jeffrey O'Neill who runs the site OpenSTV.org.

Required Citations: Jeffery O'Neill. Open STV. www.OpenSTV.org, 2013. diff --git a/datasets/00020 - pierce/info.txt b/datasets/00020 - pierce/info.txt index f66487d80..e279f94ca 100644 --- a/datasets/00020 - pierce/info.txt +++ b/datasets/00020 - pierce/info.txt @@ -8,7 +8,7 @@ Series Number: 00020 Publication Date: 2014-07-09 -Description:

The 2008 Pierce Data contains the results from several elections, including county executive, held in Pierce, WA in 2008. The set contains 4 distinct elections with between 4 and 7 canddiates and 40,000 and 300,000 voters.

Note that these elections were conducted under a ranked voting system which allowed blank entries. In processing this data for PrefLib we have ignored blanks and only report the order over the candidates.

The data on this page was donated by Jeffrey O'Neill who runs the site OpenSTV.org.

+Description:

The 2008 Pierce Data contains the results from several elections, including county executive, held in Pierce, WA in 2008. The set contains 4 distinct elections with between 4 and 7 candidates and 40,000 and 300,000 voters.

Note that these elections were conducted under a ranked voting system which allowed blank entries. In processing this data for PrefLib we have ignored blanks and only report the order over the candidates.

The data on this page was donated by Jeffrey O'Neill who runs the site OpenSTV.org.

Required Citations: Jeffery O'Neill. Open STV. www.OpenSTV.org, 2013. diff --git a/datasets/00021 - sf/info.txt b/datasets/00021 - sf/info.txt index b0111188f..aeca55ee0 100644 --- a/datasets/00021 - sf/info.txt +++ b/datasets/00021 - sf/info.txt @@ -8,7 +8,7 @@ Series Number: 00021 Publication Date: 2014-07-09 -Description:

The San Francsico data contains the results from several elections, including board of supervisors, district attorny, and mayoral elections, held in San Francisco, CA between 2008 and 2012. The set contains 14 distinct elections with between 4 and 25 canddiates and 18,000 and 195,000 voters.

Note that these elections were conducted under a ranked voting system which allowed blank entries. In processing this data for PrefLib we have ignored blanks and only report the order over the candidates.

The data on this page was donated by Jeffrey O'Neill who runs the site OpenSTV.org.

+Description:

The San Francisco data contains the results from several elections, including board of supervisors, district attorney, and mayoral elections, held in San Francisco, CA between 2008 and 2012. The set contains 14 distinct elections with between 4 and 25 candidates and 18,000 and 195,000 voters.

Note that these elections were conducted under a ranked voting system which allowed blank entries. In processing this data for PrefLib we have ignored blanks and only report the order over the candidates.

The data on this page was donated by Jeffrey O'Neill who runs the site OpenSTV.org.

Required Citations: Jeffery O'Neill. Open STV. www.OpenSTV.org, 2013. diff --git a/datasets/00022 - sl/info.txt b/datasets/00022 - sl/info.txt index afbcd7154..e66a8d730 100644 --- a/datasets/00022 - sl/info.txt +++ b/datasets/00022 - sl/info.txt @@ -8,7 +8,7 @@ Series Number: 00022 Publication Date: 2014-07-09 -Description:

The San Leandro data contains the results from several elections, including mayor and city council elections, held in San Leandro, CA between 2010 and 2012. The set contains 3 distinct elections with between 4 and 7 canddiates and about 25,000 voters each.

Note that these elections were conducted under a ranked voting system which allowed blank entries. In processing this data for PrefLib we have ignored blanks and only report the order over the candidates.

The data on this page was donated by Jeffrey O'Neill who runs the site OpenSTV.org.

+Description:

The San Leandro data contains the results from several elections, including mayor and city council elections, held in San Leandro, CA between 2010 and 2012. The set contains 3 distinct elections with between 4 and 7 candidates and about 25,000 voters each.

Note that these elections were conducted under a ranked voting system which allowed blank entries. In processing this data for PrefLib we have ignored blanks and only report the order over the candidates.

The data on this page was donated by Jeffrey O'Neill who runs the site OpenSTV.org.

Required Citations: Jeffery O'Neill. Open STV. www.OpenSTV.org, 2013. diff --git a/datasets/00023 - takomapark/info.txt b/datasets/00023 - takomapark/info.txt index 846051cf4..9f8e382aa 100644 --- a/datasets/00023 - takomapark/info.txt +++ b/datasets/00023 - takomapark/info.txt @@ -8,7 +8,7 @@ Series Number: 00023 Publication Date: 2014-07-09 -Description:

The Takoma Park Data contains the results from the 2007 Takoma Park, WA special election for city council. The set contains one elections with between 4 canddiates and about 400 voters.

Note that these elections were conducted under a ranked voting system which allowed blank entries. In processing this data for PrefLib we have ignored blanks and only report the order over the candidates.

The data on this page was donated by Jeffrey O'Neill who runs the site OpenSTV.org.

+Description:

The Takoma Park Data contains the results from the 2007 Takoma Park, WA special election for city council. The set contains one elections with between 4 candidates and about 400 voters.

Note that these elections were conducted under a ranked voting system which allowed blank entries. In processing this data for PrefLib we have ignored blanks and only report the order over the candidates.

The data on this page was donated by Jeffrey O'Neill who runs the site OpenSTV.org.

Required Citations: Jeffery O'Neill. Open STV. www.OpenSTV.org, 2013. diff --git a/datasets/00026 - frenchapproval/info.txt b/datasets/00026 - frenchapproval/info.txt index e0d3dc7c9..ff9741001 100644 --- a/datasets/00026 - frenchapproval/info.txt +++ b/datasets/00026 - frenchapproval/info.txt @@ -1,4 +1,4 @@ -Name: 2002 French Presidental Election +Name: 2002 French Presidential Election Abbreviation: frenchapproval @@ -8,7 +8,7 @@ Series Number: 00026 Publication Date: 2017-04-13 -Description:

The 2002 French Presidental Election Dataset was collected by Jean-Francois Laslier and Karine Van der Straeten. It consists of 2,597 approval ballots collected in parallel to the actual election in 6 different districts in France.

The approval votes were collected at a set of polling stations in France during the first round of voting in the 2002 French National Election. Voters in these districts were informed prior to the election that they would have the ability to cast an approval ballot along with their normal ballot for the election. Overall, over 75% of those who turned up to vote participated in the experiment. Each of the files represent one district voting on the same election. There are between 367 and 476 voters (2,597 in all) and 16 candidates. Additional details the method used to collect the data and results of analysis can be found in the required citation for the use of this dataset.

+Description:

The 2002 French Presidential Election Dataset was collected by Jean-Francois Laslier and Karine Van der Straeten. It consists of 2,597 approval ballots collected in parallel to the actual election in 6 different districts in France.

The approval votes were collected at a set of polling stations in France during the first round of voting in the 2002 French National Election. Voters in these districts were informed prior to the election that they would have the ability to cast an approval ballot along with their normal ballot for the election. Overall, over 75% of those who turned up to vote participated in the experiment. Each of the files represent one district voting on the same election. There are between 367 and 476 voters (2,597 in all) and 16 candidates. Additional details the method used to collect the data and results of analysis can be found in the required citation for the use of this dataset.

Required Citations: Jean-Francois Laslier and Karine Van der Straeten. A Live Experiment on Approval Voting. Experimental Economics 11: 97-105, 2008 (Bibtex). diff --git a/datasets/00027 - frenchrate/00027-00000001.toc b/datasets/00027 - frenchrate/00027-00000001.toc index 450c3cdf7..be7845cc4 100644 --- a/datasets/00027 - frenchrate/00027-00000001.toc +++ b/datasets/00027 - frenchrate/00027-00000001.toc @@ -1,5 +1,5 @@ # FILE NAME: 00027-00000001.toc -# TITLE: Etudes Poltiques +# TITLE: Etudes Politiques # DESCRIPTION: # DATA TYPE: toc # MODIFICATION TYPE: original diff --git a/datasets/00027 - frenchrate/info.txt b/datasets/00027 - frenchrate/info.txt index a6a4a9123..24d70f687 100644 --- a/datasets/00027 - frenchrate/info.txt +++ b/datasets/00027 - frenchrate/info.txt @@ -15,4 +15,4 @@ Required Citations: Selected Studies: Jean-Francois Laslier and Karine Van der Straeten. Vote par assentiment pendant la presidentielle de 2002: analyse d'une experience. Revue Francaise de Science Politique 54 : 99-130, 2004. file_name, modification_type, relates_to, title, description, publication_date -00027-00000001.toc, original, , Etudes Poltiques, , 2017-04-13 +00027-00000001.toc, original, , Etudes Politiques, , 2017-04-13 diff --git a/datasets/00029 - frenchratecombi/info.txt b/datasets/00029 - frenchratecombi/info.txt index 27143fd09..a284b5053 100644 --- a/datasets/00029 - frenchratecombi/info.txt +++ b/datasets/00029 - frenchratecombi/info.txt @@ -15,4 +15,4 @@ Required Citations: Selected Studies: Jean-Francois Laslier and Karine Van der Straeten. Vote par assentiment pendant la presidentielle de 2002: analyse d'une experience. Revue Francaise de Science Politique 54 : 99-130, 2004. file_name, modification_type, relates_to, title, description, publication_date -00029-00000001.dat, original, , Etudes Poltiques, , 2017-04-13 +00029-00000001.dat, original, , Etudes Politiques, , 2017-04-13 From 2e95c8975662fddc12ffb8daa4d5de46f401cf14 Mon Sep 17 00:00:00 2001 From: endolith Date: Sun, 13 Sep 2026 11:03:54 -0400 Subject: [PATCH 2/5] Fix additional Presidential typo in new dataset 00072 was added after the 2021 PrefLib-www typo sweep and repeats the same Presidental typo fixed in 00026. Co-authored-by: opencode --- datasets/00072 - french-experiments-ranking/info.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/datasets/00072 - french-experiments-ranking/info.txt b/datasets/00072 - french-experiments-ranking/info.txt index dc33e8723..9a089da6b 100644 --- a/datasets/00072 - french-experiments-ranking/info.txt +++ b/datasets/00072 - french-experiments-ranking/info.txt @@ -1,4 +1,4 @@ -Name: Voting Experiments on IRV and Borda in French Presidental Elections +Name: Voting Experiments on IRV and Borda in French Presidential Elections Abbreviation: french-experiments-rankings From dda869e2cfbfb2a8b58b35a8d7cf417b16a4b785 Mon Sep 17 00:00:00 2001 From: endolith Date: Sun, 13 Sep 2026 14:40:18 -0400 Subject: [PATCH 3/5] Fix typo in workflow filename metdata.yml -> metadata.yml The workflow file itself carried the typo, so the README link was technically correct. Rename the file and update the README URL to match. No workflow content changed. Co-authored-by: opencode Co-authored-by: Open Interpreter <> --- .github/workflows/{metdata.yml => metadata.yml} | 0 README.md | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) rename .github/workflows/{metdata.yml => metadata.yml} (100%) diff --git a/.github/workflows/metdata.yml b/.github/workflows/metadata.yml similarity index 100% rename from .github/workflows/metdata.yml rename to .github/workflows/metadata.yml diff --git a/README.md b/README.md index 3518ffab6..8cee0f253 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ Follow these steps: 1. Create the corresponding folder in the `datasets/` folder. The name should be `{number} - {abb}` where `number` is the series number of the dataset and `abb` its abbreviation. 2. Move the files to the folder. This should include data files and an `info.txt` file. They should respect the format specification. 3. Run the sanity checks: the script is `scripts/sanitychecks.py` (this is also done automatically via GitHub actions on every push). -4. Generate the metadata file: the script is `scripts/compute_metadata.py`. You can also do that by running the [Generate the metadata.csv files](https://github.com/PrefLib/PrefLib-Data/actions/workflows/metdata.yml) GitHub action (click on "Run workflow"). +4. Generate the metadata file: the script is `scripts/compute_metadata.py`. You can also do that by running the [Generate the metadata.csv files](https://github.com/PrefLib/PrefLib-Data/actions/workflows/metadata.yml) GitHub action (click on "Run workflow"). 5. Push to the changes to GitHub repository. 6. Update the ZIP archives on the repo via the action [Generate and Upload Zip Files](https://github.com/PrefLib/PrefLib-Data/actions/workflows/releasezip.yml) (see [below](#update-the-zip-archives) for more details). 7. Zip the new/modified dataset using the script `scripts/zipall.py`. From 84731425a513ca96852a82027884c48d920d977f Mon Sep 17 00:00:00 2001 From: endolith Date: Sun, 13 Sep 2026 14:42:30 -0400 Subject: [PATCH 4/5] Fix typos found by codespell - polis: reformated -> reformatted - habermas: agregating -> aggregating - scotus: betwen -> between Co-authored-by: opencode Co-authored-by: Open Interpreter <> --- datasets/00069 - polis/info.txt | 2 +- datasets/00070 - habermas/info.txt | 2 +- datasets/00075 - scotus/info.txt | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/datasets/00069 - polis/info.txt b/datasets/00069 - polis/info.txt index 6e33732dc..99f1a55a5 100644 --- a/datasets/00069 - polis/info.txt +++ b/datasets/00069 - polis/info.txt @@ -8,7 +8,7 @@ Series Number: 00069 Publication Date: 2025-10-16 -Description:

Polis is a survey software that allows users to share their opinions and ideas over statements and comments regarding a given theme.

The data presented here is a reformat of the Polis data available on GitHub under under a Creative Commons Attribution 4.0 International license. The data has been reformated to fit the PrefLib categorical preferences data.

Each file describes a polis poll. The alternatives correspond to the statements/comments from the polls. For each statement, the voters can either express positive opinion (corresponding to the "Approved" category), negative opinion (corresponding to the "disapproved" category), or the absence of opinion (in the "Neutral/Skipped" category). Voters do not have to express an opinion, or absence thereof, for all statements/comments.

The data has been provided by Simon Rey, as part of the development of the Proportionality Press within the Fair online group decision making (FairOGD) project of Jan Maly.

+Description:

Polis is a survey software that allows users to share their opinions and ideas over statements and comments regarding a given theme.

The data presented here is a reformat of the Polis data available on GitHub under under a Creative Commons Attribution 4.0 International license. The data has been reformatted to fit the PrefLib categorical preferences data.

Each file describes a polis poll. The alternatives correspond to the statements/comments from the polls. For each statement, the voters can either express positive opinion (corresponding to the "Approved" category), negative opinion (corresponding to the "disapproved" category), or the absence of opinion (in the "Neutral/Skipped" category). Voters do not have to express an opinion, or absence thereof, for all statements/comments.

The data has been provided by Simon Rey, as part of the development of the Proportionality Press within the Fair online group decision making (FairOGD) project of Jan Maly.

Required Citations: diff --git a/datasets/00070 - habermas/info.txt b/datasets/00070 - habermas/info.txt index 6804807c8..373b7c0f9 100644 --- a/datasets/00070 - habermas/info.txt +++ b/datasets/00070 - habermas/info.txt @@ -8,7 +8,7 @@ Series Number: 00070 Publication Date: 2025-10-12 -Description:

This dataset collects the vote of participants in mini-jury experiments. For each mini-jury, five participants had to give their opinion on a specific topic and an LLM was used to generate four statements agregating the participants' opinions. Participants could then rank the different propositions, and Schulze's method was used to select the winning statement. The original data was collected by Google DeepMind, and was converted to the appropriate format by Théo Delemazure.

+Description:

This dataset collects the vote of participants in mini-jury experiments. For each mini-jury, five participants had to give their opinion on a specific topic and an LLM was used to generate four statements aggregating the participants' opinions. Participants could then rank the different propositions, and Schulze's method was used to select the winning statement. The original data was collected by Google DeepMind, and was converted to the appropriate format by Théo Delemazure.

Required Citations: Michael Henry Tessler et al. AI can help humans find common ground in democratic deliberation. Science 386, 2024. diff --git a/datasets/00075 - scotus/info.txt b/datasets/00075 - scotus/info.txt index 5a5a68470..866af0eb7 100644 --- a/datasets/00075 - scotus/info.txt +++ b/datasets/00075 - scotus/info.txt @@ -8,7 +8,7 @@ Series Number: 00075 Publication Date: 2026-01-29 -Description:

The dataset is based on the opinions authored and joined by the justices betwen 1946 and 2021, derived from the Supreme Court Database. The Court consists of 9 justices who vote on each case about which of the two parties to the case wins. The Court then publishes a majority opinion explaining the Court’s reasoning. Justices can also submit concurring opinions and dissenting opinions, and join any of the opinions submitted by others. Concurring opinions explain additional or alternative reasons, written by justices who voted with the majority. Dissenting opinions explain why a justice did not vote with the majority. Note that there might be several dissenting and concurring opinions. Each opinion, concurrence, or dissent becomes a ballot “approving” the justices that joined in it. The data was converted to the appropriate format by Théo Delemazure.

+Description:

The dataset is based on the opinions authored and joined by the justices between 1946 and 2021, derived from the Supreme Court Database. The Court consists of 9 justices who vote on each case about which of the two parties to the case wins. The Court then publishes a majority opinion explaining the Court’s reasoning. Justices can also submit concurring opinions and dissenting opinions, and join any of the opinions submitted by others. Concurring opinions explain additional or alternative reasons, written by justices who voted with the majority. Dissenting opinions explain why a justice did not vote with the majority. Note that there might be several dissenting and concurring opinions. Each opinion, concurrence, or dissent becomes a ballot “approving” the justices that joined in it. The data was converted to the appropriate format by Théo Delemazure.

Required Citations: Harold J. Spaeth, Lee Epstein, Andrew D. Martin, Jeffrey A. Segal, Theodore J. Ruger and Sara C. Benesh. 2023 Supreme Court Database, Version 2023 Release 01. URL: http://supremecourtdatabase.org. From 6033bc310283e9e12e6c6d4d270aaa4e3a6ba130 Mon Sep 17 00:00:00 2001 From: endolith Date: Sun, 13 Sep 2026 15:25:59 -0400 Subject: [PATCH 5/5] Fix typos in scripts found by codespell - sanitychecks.py: infor -> info (user-facing message) - convert/polis.py: reformated -> reformatted (template that generates the polis info.txt, mirrors the info.txt fix) Co-authored-by: opencode --- scripts/convert/polis.py | 2 +- scripts/sanitychecks.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/scripts/convert/polis.py b/scripts/convert/polis.py index af7db216c..abc37e7a8 100644 --- a/scripts/convert/polis.py +++ b/scripts/convert/polis.py @@ -340,7 +340,7 @@ def polis_poll_to_preflib_cat(poll_dir_path: str, preflib_file_name: str): Publication Date: 2025-10-16 -Description:

Polis is a survey software that allows users to share their opinions and ideas over statements and comments regarding a given theme.

The data presented here is a reformat of the Polis data available on GitHub under under a Creative Commons Attribution 4.0 International license. The data has been reformated to fit the PrefLib categorical preferences data.

Each file describes a polis poll. The alternatives correspond to the statements/comments from the polls. For each statement, the voters can either express positive opinion (corresponding to the "Approved" category), negative opinion (corresponding to the "disapproved" category), or the absence of opinion (in the "Neutral/Skipped" category). Voters do not have to express an opinion, or absence thereof, for all statements/comments.

The data has been provided by Simon Rey, as part of the development of the Proportionality Press within the Fair online group decision making (FairOGD) project of Jan Maly.

+Description:

Polis is a survey software that allows users to share their opinions and ideas over statements and comments regarding a given theme.

The data presented here is a reformat of the Polis data available on GitHub under under a Creative Commons Attribution 4.0 International license. The data has been reformatted to fit the PrefLib categorical preferences data.

Each file describes a polis poll. The alternatives correspond to the statements/comments from the polls. For each statement, the voters can either express positive opinion (corresponding to the "Approved" category), negative opinion (corresponding to the "disapproved" category), or the absence of opinion (in the "Neutral/Skipped" category). Voters do not have to express an opinion, or absence thereof, for all statements/comments.

The data has been provided by Simon Rey, as part of the development of the Proportionality Press within the Fair online group decision making (FairOGD) project of Jan Maly.

Required Citations: diff --git a/scripts/sanitychecks.py b/scripts/sanitychecks.py index 931cab665..ba21b7a39 100644 --- a/scripts/sanitychecks.py +++ b/scripts/sanitychecks.py @@ -57,7 +57,7 @@ def check_info_file(info_file_path, ds_dir, dataset_files, escalate_warnings): } for tag, short_tag in tag_mapping.items(): if short_tag not in infos: - info_error_list.append(f"The infor file does not seem to provide a value for the tag '{tag}'. Please add the tag even if the value is empty.") + info_error_list.append(f"The info file does not seem to provide a value for the tag '{tag}'. Please add the tag even if the value is empty.") # Report or escalate any errors found handle_errors(info_error_list, ds_dir, escalate_warnings)