README.md

---
license: cc-by-4.0
language:
- ba
pretty_name: Bashkir Frequency Index (83M tokens, RU-filtered press corpus)
task_categories:
- text-classification
configs:
- config_name: public
  data_files:
  - split: train
    path: frequency_public.parquet
- config_name: full
  data_files:
  - split: train
    path: frequency_full.parquet
tags:
- bashkir
- frequency
- wordlist
- lexicon
- low-resource
- cyrillic
- corpus-statistics
---

# 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`](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

```python
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

```bibtex
@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}
}
```