failed09/bashkir-frequency-index

Bashkir Frequency Index v13.0-af1

Word-frequency index for the Bashkir language, computed over 152.16 million tokens of clean monolingual text across diverse public domains (periodicals, news media, literary publications, encyclopedic texts, books, and general web archives). Non-Bashkir language admixture and scanning artifacts were filtered using automated language-filtering pipelines.

Configurations

Config	Rows	Cutoff	Use Case
public (recommended)	589,980	count ≥ 3	NLP applications, spellchecking, text processing, linguistic research
full	801,775	count ≥ 2	Comprehensive morphology studies, lexical research

Additionally provided in the repository:

• top_coverage_50.json: the minimal set of 1,177 word forms covering 50% of all tokens in the corpus.
• top_500.json: top-500 core frequency vocabulary list.

Schema

Column	Type	Description
rank	int64	Position by descending frequency
word	string	Word form, lowercase Cyrillic
count	int64	Absolute frequency count (occurrences)
doc_freq	int64	Number of distinct sentences containing this word form
freq_per_million	double	Normalized instances per million tokens (FPM / IPM)

Sample (Top 10 Words)

Rank	Word	Function / Translation	Count	FPM	Doc Frequency
1	һәм	conjunction "and"	2,241,951	14,734.0	1,912,898
2	менән	postposition "with"	1,777,603	11,682.3	1,655,420
3	бер	numeral "one / a certain"	1,086,312	7,139.2	1,003,231
4	ла	particle "also / and"	973,753	6,399.5	911,626
5	ул	pronoun "he / she / it / that"	849,049	5,579.9	831,161
6	өсөн	pronoun "this"	830,427	5,457.5	781,355
7	тип	postposition "for / sake of"	828,274	5,443.4	799,514
8	был	quotative gerund "saying / as"	827,544	5,438.6	815,399
9	лә	particle "also / and"	602,419	3,959.1	569,728
10	буйынса	postposition/link "according to"	513,002	3,371.4	482,030

Token Coverage

Tokens Covered	Forms Needed
25%	148
50%	1,177
80%	11,265
90%	32,544
95%	76,326

Method

• Tokenization: Regex lowercase tokenization over Cyrillic script including all 9 Bashkir-specific letters (Ә Ғ Ҙ Ҡ Ң Ө Ҫ Ү Һ).
• Corpus Base: 12.89M sentences (152.16M tokens).
• Filtering: Automated function-word language filtering to remove foreign language leaks.
• Form Constraints: Isolated single-character forms removed (except ә); concatenated strings (>24 chars) removed.

Loading

from datasets import load_dataset

# Load recommended public configuration
dataset = load_dataset("failed09/bashkir-frequency-index", "public")
df = dataset["train"].to_pandas()
print(df.head(10))

Citation

@dataset{failed09_bashkir_frequency_index_2026,
  title     = {Bashkir Frequency Index v13.0-af1},
  author    = {failed09},
  year      = {2026},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/failed09/bashkir-frequency-index}
}

Open Bashkir Data and Sources 🐝

This dataset 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 training materials used to derive this index. Rights and licensing remain with the original authors, publishers and dataset providers. Source texts are not redistributed in this repository; users should review and follow the licenses and attribution requirements of the relevant upstream resources.