failed09/bashkir-frequency-index

Bashkir Frequency Index v6.1

Word-frequency index for the Bashkir language, built from 83.27 million tokens of cleaned monolingual text (newspapers, magazines, encyclopedia, Wikipedia, literature, speech transcripts; Russian-language admixture removed by sentence-level filtering).

Configurations

config	rows	cutoff	use case
public (recommended)	521,415	count ≥ 3	applications, spellcheckers, T9, research
full	1,290,098	count ≥ 1	morphology studies, OCR noise analysis

Additionally: top_coverage_50.json — the minimal set of 1,634 word forms covering 50% of all tokens (with cumulative coverage), handy as a "learn these first" vocabulary list.

Schema

column	type	description
rank	int64	position by descending count
word	string	word form, lowercase
count	int64	absolute frequency (tokens)
ipm	float	instances per million tokens
doc_freq	int32	number of sentences containing the form

Sample

rank	word	count	ipm	doc_freq
1	һәм	1,086,463	13,046.8	775,593
23	башҡорт	160,963	1,932.9	114,353
126	йылға	59,878	719.0	55,988
390	тел	23,031	276.6	19,225
439	һуғыш	20,963	251.7	17,315

Coverage

tokens covered	forms needed
25%	188
50%	1,634
80%	17,559
90%	53,852
95%	131,559

Method

• Tokenization: regex lowercase extraction over the Cyrillic alphabet incl. the 9 Bashkir-specific letters (Ә Ғ Ҙ Ҡ Ң Ө Ҫ Ү Һ).
• Corpus base: monolingual master v2 — 5,481,554 sentences; Russian sentences (~11.6% of tokens in the previous version) removed with a function-word filter (ru_filter_v1).
• Cleanups vs v5.0: glued-word forms >24 chars dropped (490), 1-char forms dropped except ә / у / а, 34,922 rare forms merged into their Damerau-Levenshtein-1 neighbours (conservative: ratio ≥ 50, length ≥ 5).

v6.1 changelog

• Removed 65 Russian function-word forms that leak inside Bashkir sentences (quotes, names): на, не, по, из, это... — 648,304 tokens. The list is homograph-checked against Bashkir (kept: был = "this", ни = "what", ти/тип = quotative, да/ла/лә/ҙа = "also" particle, без = "we").
• Removed single-letter forms а, у (Russian-dominant usage); kept ә (the Bashkir conjunction "and").
• Baseline cleanups identical to v6.0 (glued forms, typo merge).

Known caveats

• The index is wordform-level (not lemmatized): agglutination produces many forms of one lemma.
• The long tail (count < 3) contains OCR/source typos and glued artifacts.
• Proper names, especially Russian patronymics, appear in the tail.

Loading

from datasets import load_dataset

freq = load_dataset("failed09/bashkir-frequency-index", "public")["train"]

# top-20 verbs starting with "бар"
[f for f in freq.filter(lambda r: r["word"].startswith("бар"))][:20]

Citation

@dataset{failed09_bashkir_frequency_index_2026,
  title  = {Bashkir Frequency Index v6.1},
  author = {failed09},
  year   = {2026},
  publisher = {Hugging Face},
  url    = {https://huggingface.co/datasets/failed09/bashkir-frequency-index}
}