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Simon-ReySimon-Rey
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Habermas dataset
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‎datasets/00026 - frenchapproval/metadata.csv‎

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@@ -3,11 +3,11 @@ file;file_number;last_modif;md5;modification_type;numAlt;numVot;numUniq;isApprov
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00026-00000001.toc;1;2025-10-10 19:58:00.124720;dcb57064ae2afb8185571bbd9a42b077;original;16;365;216;True;False;True;True;N/A;N/A;N/A
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00026-00000002.cat;2;2025-10-10 19:58:00.125852;6d2efb9cc7b66955c8a1800ced6f407a;original;16;409;240;True;N/A;True;N/A;N/A;N/A;N/A
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00026-00000002.toc;2;2025-10-10 19:58:00.125852;f4e9426c61146b25f7ea17140c17e5a9;original;16;406;238;True;False;True;True;N/A;N/A;N/A
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00026-00000003.cat;3;2025-10-10 19:58:00.125852;b8e62caa2b758a4ac5889637008b7969;original;16;476;252;True;N/A;True;N/A;N/A;N/A;N/A
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00026-00000003.toc;3;2025-10-10 19:58:00.127067;48d1208b02cbed67c724aab3d148cf66;original;16;476;252;True;False;True;True;N/A;N/A;N/A
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00026-00000004.cat;4;2025-10-10 19:58:00.127067;ce48983c6096e0a55907e94e0e0f798a;original;16;460;258;True;N/A;True;N/A;N/A;N/A;N/A
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00026-00000003.cat;3;2025-10-10 19:58:00.125852;b8e62caa2b758a4ac5889637008b7969;original;16;476;252;True;N/A;True;N/A;N/A;N/A;N/A
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00026-00000004.toc;4;2025-10-10 19:58:00.127067;6abb5512ab9d270335c2407db216c1e1;original;16;460;258;True;False;True;True;N/A;N/A;N/A
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00026-00000005.cat;5;2025-10-10 19:58:00.127067;8559ebcfa55388f7f6d84533545b9a81;original;16;472;266;True;N/A;True;N/A;N/A;N/A;N/A
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00026-00000004.cat;4;2025-10-10 19:58:00.127067;ce48983c6096e0a55907e94e0e0f798a;original;16;460;258;True;N/A;True;N/A;N/A;N/A;N/A
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00026-00000005.toc;5;2025-10-10 19:58:00.128168;8a77eb3d056742a7450ff9b45347eff8;original;16;472;266;True;False;True;True;N/A;N/A;N/A
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00026-00000005.cat;5;2025-10-10 19:58:00.127067;8559ebcfa55388f7f6d84533545b9a81;original;16;472;266;True;N/A;True;N/A;N/A;N/A;N/A
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00026-00000006.toc;6;2025-10-10 19:58:00.128168;448a1e0e8df18027fa7a214d84a037f6;original;16;406;240;True;False;True;True;N/A;N/A;N/A
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00026-00000006.cat;6;2025-10-10 19:58:00.128168;c3d34956a545826b1c4707f446db9284;original;16;415;242;True;N/A;True;N/A;N/A;N/A;N/A

‎datasets/00070 - habermas/info.txt‎

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@@ -2,13 +2,13 @@ Name: Habermas Machine Deliberation
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Abbreviation: habermas
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Tags: Deliberation
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Tags: Election,Deliberation
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Series Number: 00070
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Publication Date: 2025-10-12
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Description: <p>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 <a href="https://github.com/google-deepmind/habermas_machine">collected by Google DeepMind</a>, and was converted to the appropriate format by <a href="https://theo.delemazure.fr/>Théo Delemazure</a></p>
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Description: <p>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 <a href="https://github.com/google-deepmind/habermas_machine">collected by Google DeepMind</a>, and was converted to the appropriate format by <a href="https://theo.delemazure.fr/>Théo Delemazure</a>.</p>
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Required Citations: Michael Henry Tessler et al. <em>AI can help humans find common ground in democratic deliberation</em>. Science 386, 2024.
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‎scripts/zipall.py‎

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@@ -18,7 +18,7 @@ def zip_all():
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relevant_properties = ("isApproval", "isStrict", "isComplete", "isSP", "isSC", "isSPTree")
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prop_to_files = {t: [] for t in relevant_properties}
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for dataset_dir in sorted(os.listdir(IN_DIR)):
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for dataset_dir in sorted(os.listdir(IN_DIR), reverse=True):
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print(f"Reading {dataset_dir}")
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ds_files = []
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@@ -51,26 +51,26 @@ def zip_all():
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with zipfile.ZipFile(os.path.join(OUT_DIR, dataset.replace(" - ", "_") + ".zip"), "w", zipfile.ZIP_DEFLATED) as zip_file:
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for file_path in all_files:
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zip_file.write(file_path, os.path.basename(file_path))
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for modif_type, all_files in modif_to_files.items():
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print(f"Zipping {modif_type}")
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with zipfile.ZipFile(os.path.join(OUT_DIR, "modif_" + modif_type + ".zip"), "w", zipfile.ZIP_DEFLATED) as zip_file:
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for file_path in all_files:
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zip_file.write(file_path, os.path.basename(file_path))
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for data_type, all_files in type_to_files.items():
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print(f"Zipping {data_type}")
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with zipfile.ZipFile(os.path.join(OUT_DIR, "type_" + data_type + ".zip"), "w",
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zipfile.ZIP_DEFLATED) as zip_file:
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for file_path in all_files:
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zip_file.write(file_path, os.path.basename(file_path))
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for prop, all_files in prop_to_files.items():
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print(f"Zipping {prop}")
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with zipfile.ZipFile(os.path.join(OUT_DIR, "prop_" + prop + ".zip"), "w",
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zipfile.ZIP_DEFLATED) as zip_file:
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for file_path in all_files:
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zip_file.write(file_path, os.path.basename(file_path))
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#
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# for modif_type, all_files in modif_to_files.items():
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# print(f"Zipping {modif_type}")
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# with zipfile.ZipFile(os.path.join(OUT_DIR, "modif_" + modif_type + ".zip"), "w", zipfile.ZIP_DEFLATED) as zip_file:
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# for file_path in all_files:
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# zip_file.write(file_path, os.path.basename(file_path))
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#
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# for data_type, all_files in type_to_files.items():
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# print(f"Zipping {data_type}")
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# with zipfile.ZipFile(os.path.join(OUT_DIR, "type_" + data_type + ".zip"), "w",
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# zipfile.ZIP_DEFLATED) as zip_file:
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# for file_path in all_files:
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# zip_file.write(file_path, os.path.basename(file_path))
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#
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# for prop, all_files in prop_to_files.items():
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# print(f"Zipping {prop}")
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# with zipfile.ZipFile(os.path.join(OUT_DIR, "prop_" + prop + ".zip"), "w",
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# zipfile.ZIP_DEFLATED) as zip_file:
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# for file_path in all_files:
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# zip_file.write(file_path, os.path.basename(file_path))
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if __name__ == "__main__":

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