Release Bashkir Frequency Index v8.3 (105.96M tokens, 872,146 wordforms)

README.md

@@ -2,8 +2,9 @@
 license: cc-by-4.0
 language:
 - ba
-pretty_name: Bashkir Frequency Index (101M tokens)
-# This is a lexical frequency resource; no supervised task category is claimed.
+pretty_name: Bashkir Frequency Index (106M tokens)
+task_categories:
+- text-classification
 configs:
 - config_name: public
   data_files:
@@ -23,19 +24,19 @@ tags:
 - corpus-statistics
 ---
 
-# Bashkir Frequency Index v8.2
+# Bashkir Frequency Index v8.3
 
-Word-frequency index for the Bashkir language, computed from **104.77 million scanned tokens** of clean monolingual text. After frequency and noise filtering, the retained index contains **101.30 million counted tokens** 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.
+Word-frequency index for the Bashkir language, computed over **105.96 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) | **632,697** | count ≥ 3 | NLP applications, spellchecking, text processing, linguistic research |
-| **`full`** | **856,425** | count ≥ 2 | Comprehensive morphology studies, lexical research |
+| **`public`** (recommended) | **643,903** | count ≥ 3 | NLP applications, spellchecking, text processing, linguistic research |
+| **`full`** | **872,146** | count ≥ 2 | Comprehensive morphology studies, lexical research |
 
 Additionally provided in the repository:
-- [`top_coverage_50.json`](top_coverage_50.json): the minimal set of **1,723 word forms covering 50% of all tokens** in the corpus.
+- [`top_coverage_50.json`](top_coverage_50.json): the minimal set of **1,688 word forms covering 50% of all tokens** in the corpus.
 - [`top_500.json`](top_500.json): top-500 core frequency vocabulary list.
 
 ## Schema
@@ -52,33 +53,31 @@ Additionally provided in the repository:
 
 | Rank | Word | Function / Translation | Count | FPM | Doc Frequency |
 |---:|---|---|---:|---:|---:|
-| 1 | **һәм** | conjunction "and" | 1,419,398 | 13,547.5 | 1,049,498 |
-| 2 | **менән** | postposition "with" | 974,143 | 9,616.4 | 740,261 |
-| 3 | **бер** | numeral "one / a certain" | 662,393 | 6,538.9 | 503,307 |
-| 4 | **ла** | particle "also / and" | 538,306 | 5,314.0 | 399,377 |
-| 5 | **ул** | pronoun "he / she / it / that" | 524,032 | 5,173.1 | 438,832 |
-| 6 | **был** | pronoun "this" | 480,915 | 4,747.4 | 393,665 |
-| 7 | **өсөн** | postposition "for / sake of" | 450,889 | 4,451.0 | 359,159 |
-| 8 | **тип** | quotative gerund "saying / as" | 448,097 | 4,423.5 | 361,981 |
-| 9 | **лә** | particle "also / and" | 331,089 | 3,268.4 | 253,326 |
-| 10 | **буйынса** | postposition/link "according to" | 305,527 | 3,016.1 | 257,888 |
-
-`freq_per_million` is normalized by the 104,771,773 tokens scanned before frequency cutoffs. Coverage below refers to the retained index (101,299,788 counted tokens).
-
-## Token Coverage
+| 1 | **һәм** | conjunction "and" | 1,477,617 | 13,944.6 | 1,100,080 |
+| 2 | **менән** | postposition "with" | 1,025,336 | 9,676.3 | 787,541 |
+| 3 | **бер** | numeral "one / a certain" | 704,744 | 6,650.8 | 541,883 |
+| 4 | **ла** | particle "also / and" | 577,765 | 5,452.5 | 435,535 |
+| 5 | **ул** | pronoun "he / she / it / that" | 553,176 | 5,220.4 | 467,171 |
+| 6 | **был** | pronoun "this" | 513,475 | 4,845.8 | 425,507 |
+| 7 | **тип** | postposition "for / sake of" | 476,987 | 4,501.4 | 389,692 |
+| 8 | **өсөн** | quotative gerund "saying / as" | 475,376 | 4,486.2 | 382,144 |
+| 9 | **лә** | particle "also / and" | 355,751 | 3,357.3 | 276,484 |
+| 10 | **буйынса** | postposition/link "according to" | 316,385 | 2,985.8 | 268,187 |
+
+## Token Coverage
 
 | Tokens Covered | Forms Needed |
 |---:|---:|
-| **25%** | **196** |
-| **50%** | **1,723** |
-| **80%** | **18,242** |
-| **90%** | **55,079** |
-| **95%** | **128,914** |
+| **25%** | **191** |
+| **50%** | **1,688** |
+| **80%** | **17,971** |
+| **90%** | **54,400** |
+| **95%** | **127,746** |
 
 ## 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:** 6.86M sentences (101.30M tokens).
+- **Corpus Base:** 7.21M sentences (105.96M 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.
 
@@ -97,7 +96,7 @@ print(df.head(10))
 
 ```bibtex
 @dataset{failed09_bashkir_frequency_index_2026,
-  title     = {Bashkir Frequency Index v8.2},
+  title     = {Bashkir Frequency Index v8.3},
   author    = {failed09},
   year      = {2026},
   publisher = {Hugging Face},

frequency_full.parquet

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frequency_public.parquet

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