| --- |
| license: cc-by-nc-sa-4.0 |
| license_name: na |
| license_link: LICENSE |
| task_categories: |
| - text-classification |
| - question-answering |
| - text-generation |
| - summarization |
| language: |
| - la |
| --- |
| |
| # ***Si machina nullo moderatore aberrasset...*** |
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|
| ## About |
| This dataset features human authored text, mined from [Acervus](huggingface.co/datasets/Acervus), annotated by multiple LLMs with 5 different span relations and inferred genre. |
| The organic examples are paired with machine authored modifications. |
|
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| It also contains a number of hallucinated or adversarial Latin-like examples which pass lexical filters but are semantically or grammatically incoherent. |
| Additionally, there are some 10,000 samples created by a variety of Lorem Ipsum generators. |
|
|
| These include highly adversarial samples which contain imagined Latin forms, no discernible syntax, or are completely incoherent. |
|
|
| ``` |
| Atrius Tubulus consul centum senatus consultum triumphi non sregio pugnāvis |
| ob sidera accipiet aga specta dimidia parte multa vis sed |
| ``` |
|
|
| Pseudo Latin can be observed across multiple different registers, further complicating detection: |
| ``` |
| conglutinatus est in hodie restandum quod vobis Et terra venter noster Clamabat que |
| ad dixerunt Monstra calumniatus nos Dominus |
| ``` |
|
|
| ### Relations |
| - NLI Logical Entailment (premise-hypothesis) |
| - Question Answering (question-answer) |
| - Quote Attribution (quote-attribution) |
| - Dialogue e.g. chat (utterance-reply) |
| - Prompt-Response, e.g. temporal succession, narrative sequence, or thematic association (prompt-response) |
| |
| ### Categorical |
| - Text Genre (ecclesiastical, historiography, law, treatise, poetry, rhetoric, general, satire) |
| - Adversarial Highly-Latin-Like Text (Pseudo-Latin, *Lorem Ipsum*, & Hallucinated Latin that evaded aggressive lexical filtering) |
|
|
| ### Machine Modification |
| - Human Original vs. Machine Authored Back Translation (human-machine) |
| - Original vs. Machine Authored Translation (lat-eng) |
|
|
| ## Counts |
| Total rows: **101594** |
|
|
| ### models: |
|
|
| | Model | Count | |
| | --- | ---: | |
| | claude-opus-5-5 | 52486 | |
| | gpt-6.1-sol | 37112 | |
| | LoremGenerators | 11996 | |
|
|
| ### categories: |
|
|
| | Category | Count | |
| | --- | ---: | |
| | treatise | 24888 | |
| | pseudo | 19732 | |
| | ecclesiastical | 18379 | |
| | historiography | 11869 | |
| | poetry | 11005 | |
| | rhetoric | 5753 | |
| | general | 5232 | |
| | law | 4259 | |
| | satire | 477 | |
|
|
| ### relations: |
|
|
| | Relation | Count | |
| | --- | ---: | |
| | machine-authorship | 31800 | |
| | machine-translation | 26515 | |
| | quote-attribution | 7670 | |
| | premise-hypothesis | 7179 | |
| | prompt-response | 6106 | |
| | question-answer | 1643 | |
| | dialogue | 974 | |
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|
| ## Citation |
| If you use this, please cite: |
| ``` |
| @misc{mccarthy2026Simulacrum, |
| author = {McCarthy, Aidan}, |
| title = {{Simulacrum}: Machine Authored and Annotated Latin}, |
| year = {2026}, |
| howpublished = {\url{https://huggingface.co/datasets/aimgo/Simulacrum}}, |
| note = {Dataset} |
| } |
| ``` |
|
|
