--- license: apache-2.0 --- # Dataset Card for Russian Modern–Pre-Reform Orthography Parallel Corpus ## Dataset Summary This dataset contains **50,000 parallel text examples** of Russian phrases and sentences, aligned between **modern Russian orthography** (post-1918 spelling reform) and **pre-reform Russian orthography** (as used before the 1918 spelling changes). It is intended for use in training and evaluating models for Russian orthography conversion, historical text processing, and related NLP tasks. The dataset includes a mix of: - Short phrases (e.g., *"Мир и порядок"* → *"Мiръ и порядокъ"*) - Complete sentences with varying syntactic structures, time expressions, and subordinate clauses ## Supported Tasks and Leaderboards - **Spelling conversion** (modern ↔ pre-reform) - **Historical text normalization** - **Parallel corpus training** for machine translation models between orthographic standards ## Languages - Russian (`ru`) ## Dataset Structure **Columns**: - `russian_modern` — modern Russian text (UTF-8) - `russian_prereform` — pre-reform Russian text (UTF-8) **Number of rows**: 50,000 **Format**: CSV (UTF-8). Can be converted to Parquet. ## Data Creation Modern Russian phrases were programmatically generated from a template-based system with a vocabulary of people, actions, objects, places, and time expressions, combined with pre-written natural sentences. Pre-reform orthography was produced using a heuristic conversion algorithm, applying common 19th–early 20th century spelling rules: - Final hard sign (ъ) after hard consonants - Prepositions *в*, *с* → *въ*, *съ* before consonants - `і` before vowels/й - Common lexical substitutions with ѣ (e.g., *вѣтер*, *дѣло*, *лѣс*, *тѣнь*) ## Limitations - The orthography converter is heuristic and may not match all authentic pre-1918 lexical exceptions. - Phrases are synthetic, not sourced from historical corpora. - Not suitable for linguistic studies of authentic pre-reform usage without further manual validation. ## License Apache 2.0 ## Citation If you use this dataset, please cite as: ```text filename="citation" @misc{russian_modern_prereform_2025, title = {Russian Modern–Pre-Reform Orthography Parallel Corpus}, year = {2025}, author = {Kenneth Hamilton}, howpublished = {\url{https://huggingface.co/datasets/}}, note = {Parallel corpus of modern and pre-1918 Russian orthography} } ```