Datasets:
10043 pairs from git b3095bb
Browse files
README.md
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---
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language:
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- sl
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license: other
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license_name: mixed-see-card
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pretty_name: CankarParallel
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size_categories:
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- 10K<n<100K
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task_categories:
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- text2text-generation
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tags:
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- slovene
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- style-transfer
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- ivan-cankar
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- public-domain
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---
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# CankarParallel - plain Slovene to Ivan Cankar's prose voice
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10,043 parallel passages for Slovene literary style transfer. Each row
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pairs a passage of Ivan Cankar's prose with a plain modern Slovene rendering of
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the same content.
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Built for [CankarGPT](https://github.com/Mult1Hunter/cankar-gpt), a from-scratch
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Slovene micro-LLM. The pairs train the direction `plain -> cankar`.
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## Fields
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- `passage_id` - sha256 of the Cankar text, first 16 hex chars
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- `cankar` - the original passage, **unmodified public-domain text**
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- `plain` - a plain modern Slovene rendering, **generated**
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- `title`, `url` - the source work
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- `model`, `in_tokens`, `out_tokens` - generation provenance
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## How it was made
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The Cankar side comes from Wikivir (Slovene Wikisource), segmented into 2-6
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sentence paragraph-bounded passages. Only prose genres were used - Cankar's
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plays are excluded, because a paragraph in drama is a speaker turn and
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segmenting them as prose glues speaker labels into the text.
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The plain side was generated with `claude-sonnet-5` via the Batch API, using one
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fixed "plain Slovene register" prompt (sha256 `cec36eb07e77c6d9`)
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shared with the inference-time drafting stage, so the styler never meets a
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distribution at inference it was not trained on.
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Model choice was measured, not assumed. A 50-passage pilot against a cheaper
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model found broken Slovene grammar - wrong dual verb forms, gender
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disagreement, a reflexive-only verb used transitively - which a char-ngram
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style classifier scored identically to the stronger model's output. On a
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low-resource language the cheap option corrupts the data invisibly.
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10,043 of 10,049 responses passed the
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quality filters. Rejections are quarantined, never silently dropped.
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## Held-out works are excluded
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Passages from the frozen held-out evaluation set (holdout sha256
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`07ccca96a4fe339d`) were excluded **before** generation. Pairs
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built from held-out works would contaminate any evaluation of a model trained
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on them, one-way and undetectably.
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## Licensing - read before redistributing
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Ivan Cankar died in 1918, so **his text is public domain**. The `plain` side is
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machine-generated output.
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The open question is whether the Wikivir *transcriptions* carry terms of their
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own. That is unresolved, which is why this dataset is not yet released for
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redistribution. Treat it as reference material until the card says otherwise.
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## Reproducing
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```
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uv run cankar pairs segment
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uv run cankar pairs destyle --limit 10000
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uv run cankar pairs publish
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```
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Provenance: corpus sha256 `d9b05bf04db96db6`, passages sha256
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`e1cad3a2643782f9`, pairs sha256 `16b83a4dce791773`,
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generated at 2026-07-28T11:29:15+00:00 from git `b3095bb`.
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