Frequency index v6.0: README.md

README.md

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+---
+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 v6.0
+
+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) | 521,480 | count ≥ 3 | applications, spellcheckers, T9, research |
+| `full` | 1,290,160 | count ≥ 1 | morphology studies, OCR noise analysis |
+
+Additionally: [`top_coverage_50.json`](top_coverage_50.json) — the minimal
+set of **1,624 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% | 1,624 |
+| 80% | 17,361 |
+| 90% | 53,307 |
+| 95% | 130,399 |
+
+## 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).
+
+## 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 v6.0},
+  author = {failed09},
+  year   = {2026},
+  publisher = {Hugging Face},
+  url    = {https://huggingface.co/datasets/failed09/bashkir-frequency-index}
+}
+```