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hardtoneselector/algorithmic-activism-corpus

published by @hardtoneselector

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
136
Last 30 days
136
Likes
1
Size
10.8 MB
Created on HF
2026-10-09
Age
12 days ago

Description

Algorithmic Activism — Synthetic Narrative Corpus (UDHR)

Synthetische, wertebasierte Erzaehltexte, generiert aus den Allgemeinen Erklaerung der

Menschenrechte (UDHR, gemeinfrei) durch ein lokales Sprachmodell (Default qwen2.5:7b via Ollama).

Format: JSONL, ein Objekt pro Zeile — Felder instruction, input (Artikel-ID),

output (Erzaehltext), meta (Artikel, Stil, Sprache, Modell, Zeitstempel, Wortzahl,

Guardrail-Pruefergebnis).

Filter: heuristisches Harm-Reduction-Audit… See the full description on the dataset page: https://huggingface.co/datasets/hardtoneselector/algorithmic-activism-corpus.

Tags

task_categories:text-generationlanguage:delanguage:enlicense:cc-by-4.0size_categories:1K<n<10Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:ussyntheticalignmenthuman-rightsudhrconstitutional-ai

README current version from Hugging Face


license: cc-by-4.0
language:

  • de
  • en
    task_categories:
  • text-generation
    tags:
  • synthetic
  • alignment
  • human-rights
  • udhr
  • constitutional-ai

Algorithmic Activism — Synthetic Narrative Corpus (UDHR)

Synthetische, wertebasierte Erzaehltexte, generiert aus den Allgemeinen Erklaerung der
Menschenrechte (UDHR, gemeinfrei) durch ein lokales Sprachmodell (Default qwen2.5:7b via Ollama).

  • Format: JSONL, ein Objekt pro Zeile — Felder instruction, input (Artikel-ID),
    output (Erzaehltext), meta (Artikel, Stil, Sprache, Modell, Zeitstempel, Wortzahl,
    Guardrail-Pruefergebnis).
  • Filter: heuristisches Harm-Reduction-Audit (guardrail_audit); abgelehnte Texte
    landen im Quarantaene-Ast des Quell-Repositories und werden hier nicht veroeffentlicht.
    Der Audit ist ein Filter, kein Beweis — Nachpruefung empfohlen.
  • Herkunft: Quellcode und Pipeline: https://github.com/huepfer13/algorithmic-activism
  • Lizenz: CC-BY 4.0 fuer die Texte (Quelle nennen), MIT fuer den Code.

README history 9 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-10-16ci: sync dataset.jsonl (automated corpus update)2fbde821 KB
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  2. 2026-10-15ci: sync dataset.jsonl (automated corpus update)07f89561 KB
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  3. 2026-10-15ci: sync dataset.jsonl (automated corpus update)f317c2c1 KB
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  4. 2026-10-13ci: sync dataset.jsonl (automated corpus update)3bfc28e1 KB
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  5. 2026-10-12ci: sync dataset.jsonl (automated corpus update)f18910d1 KB
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  6. 2026-10-12ci: sync dataset.jsonl (automated corpus update)040ff381 KB
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  7. 2026-10-09Upload dataset.jsonl with huggingface_hub8ed530b1 KB
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  8. 2026-10-09Upload README.md with huggingface_hub4a19d4e1 KB
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  9. 2026-10-09initial commitaa4ff4a0 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2026-10-10[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
cc-by-4.0

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("hardtoneselector/algorithmic-activism-corpus")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="hardtoneselector/algorithmic-activism-corpus", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/hardtoneselector/algorithmic-activism-corpus
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