failed09/bashkir-multilingual-phrasebooks

Bashkir-Russian Phrasebook Corpus

Edited Bashkir-Russian words, expressions and conversational phrases from university phrasebooks, annotated by entry type.

Overview

Edited Bashkir-Russian pairs derived from the original bashkorttele/trilingual-parallel-phrasebooks-bgpu dataset, published by Bashkorttele from phrasebooks of M. Akmulla Bashkir State Pedagogical University. The cleaned configuration is the deduplicated default; reviewed is the edited edition before deduplication.

At a glance
Task	Parallel corpus / phrasebook
Default config	cleaned
Fields	id, text_ba, text_ru, entry_type, source_book, source_ids, source_books, following_section
Source	M. Akmulla BSPU phrasebooks (via the bashkorttele dataset)
License	CDLA-Permissive-2.0

Contents

Files and Configurations

Config	Contents	Rows
cleaned (recommended)	Deduplicated Bashkir-Russian pairs	4,680
reviewed	Edited edition before deduplication, in book order	9,706

Release version, counts and hashes are the source of truth in META.json. The reviewed configuration is not the raw OCR extraction; use it for source-level analysis or alternative deduplication.

Schema

Column	Type	Description
id	string	Retained source record ID
text_ba	string	Edited Bashkir text
text_ru	string	Edited Russian text
entry_type	string	word, collocation or phrase
source_book	string	Source book of the retained occurrence
source_ids	list of strings	IDs of all matching occurrences before deduplication
source_books	list of strings	All source books represented by those occurrences
following_section	string or null	Section heading separated from the retained translation, where present

Source-book codes are ba-ru-alt, ba-ru-ar, ba-ru-kk, ba-ru-sah and ba-ru-zh. source_ids tracks deduplicated occurrences and does not enumerate every absorbed line from layout reconstruction. In reviewed, source_ids and source_books contain only the current occurrence; in cleaned, they aggregate matching occurrences.

Examples

Bashkir	Russian	Type
Һаумыһығыҙ!	Здравствуйте!	phrase
Хәйерле көн (иртә, кис)!	Добрый день (доброе утро, добрый вечер)!	phrase
Иҫ киткес	Бесподобная	collocation
Актив	Активный	word

Method

source phrasebooks → OCR edit → pair extraction → entry-type annotation
    ├─ reviewed.parquet  (edited, book order)
    └─ dedup (case-insensitive pair key) → cleaned.parquet

Both text columns were taken from all source books. Editing was assisted by language models and included joining adjacent layout fragments, correcting identified OCR errors and assigning entry types. Deduplication compares the case-insensitive (text_ba, text_ru) pair without stripping punctuation, removing parenthetical variants or lemmatizing; the first occurrence and its original spelling are retained. Counts and provenance were checked during export.

Quality and Use

The corpus was edited to correct OCR errors, restore fragmented phrases and annotate entry types. Some translations and annotations may still benefit from further review. Inflected forms and alternative phrasings are preserved.

Limitations

• Editing and annotation were automated and may contain residual OCR or translation errors.
• Deduplication does not normalize punctuation or lemmatize, so near-duplicates can remain.
• train is a distribution convention; no leakage-free evaluation split is provided.

Usage

pip install datasets

from datasets import load_dataset

dataset = load_dataset("failed09/bashkir-multilingual-phrasebooks", "cleaned")
df = dataset["train"].to_pandas()
print(df.head())

# Edited data with repeated expressions retained:
reviewed = load_dataset("failed09/bashkir-multilingual-phrasebooks", "reviewed")

License

Distributed under the CDLA-Permissive-2.0 license, as is the original dataset. The original dataset card states that rights to the underlying material were obtained from the rights holders. This release contains derived text data, not scans, illustrations or the original page layout.

Citation

@dataset{failed09_bashkir_russian_phrasebooks_2026,
  title = {Bashkir-Russian Phrasebook Corpus},
  author = {failed09},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/failed09/bashkir-multilingual-phrasebooks},
  note = {Derived from bashkorttele/trilingual-parallel-phrasebooks-bgpu}
}

Open Bashkir Data and Sources 🐝

This release is part of an open-source effort to support the development, preservation and practical use of the Bashkir language. Other related models, datasets and tools are available on the author's Hugging Face profile.

The author does not claim ownership or authorship of the source texts or other materials used to derive this release; rights and licensing remain with the original authors, publishers and dataset providers. Source texts are not redistributed in this repository, so users should follow the licenses and attribution requirements of the relevant upstream resources.