Release Bashkir Frequency Index v13.0-af1 (152.16M tokens, 801,775 wordforms)

README.md

@@ -2,7 +2,7 @@
 license: cc-by-4.0
 language:
 - ba
-pretty_name: Bashkir Frequency Index (111M tokens)
+pretty_name: Bashkir Frequency Index (152M tokens)
 task_categories:
 - text-classification
 configs:
@@ -24,19 +24,19 @@ tags:
 - corpus-statistics
 ---
 
-# Bashkir Frequency Index v12.0-af1
+# Bashkir Frequency Index v13.0-af1
 
-Word-frequency index for the Bashkir language, computed over **110.94 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.
+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) | **516,168** | count ≥ 3 | NLP applications, spellchecking, text processing, linguistic research |
-| **`full`** | **701,999** | count ≥ 2 | Comprehensive morphology studies, lexical research |
+| **`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`](top_coverage_50.json): the minimal set of **1,196 word forms covering 50% of all tokens** in the corpus.
+- [`top_coverage_50.json`](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.json): top-500 core frequency vocabulary list.
 
 ## Schema
@@ -53,31 +53,31 @@ Additionally provided in the repository:
 
 | Rank | Word | Function / Translation | Count | FPM | Doc Frequency |
 |---:|---|---|---:|---:|---:|
-| 1 | **һәм** | conjunction "and" | 1,605,258 | 14,469.2 | 1,355,635 |
-| 2 | **менән** | postposition "with" | 1,273,603 | 11,479.8 | 1,176,663 |
-| 3 | **бер** | numeral "one / a certain" | 819,454 | 7,386.3 | 751,058 |
-| 4 | **ла** | particle "also / and" | 709,074 | 6,391.3 | 658,978 |
-| 5 | **ул** | pronoun "he / she / it / that" | 627,030 | 5,651.8 | 610,075 |
-| 6 | **был** | pronoun "this" | 607,788 | 5,478.4 | 596,593 |
-| 7 | **тип** | postposition "for / sake of" | 606,554 | 5,467.3 | 579,106 |
-| 8 | **өсөн** | quotative gerund "saying / as" | 573,803 | 5,172.1 | 537,965 |
-| 9 | **лә** | particle "also / and" | 446,856 | 4,027.8 | 419,878 |
-| 10 | **буйынса** | postposition/link "according to" | 355,616 | 3,205.4 | 333,218 |
+| 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%** | **1,196** |
-| **80%** | **11,716** |
-| **90%** | **34,002** |
-| **95%** | **79,418** |
+| **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:** 8.94M sentences (110.94M tokens).
+- **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.
 
@@ -96,7 +96,7 @@ print(df.head(10))
 
 ```bibtex
 @dataset{failed09_bashkir_frequency_index_2026,
-  title     = {Bashkir Frequency Index v12.0-af1},
+  title     = {Bashkir Frequency Index v13.0-af1},
   author    = {failed09},
   year      = {2026},
   publisher = {Hugging Face},

frequency_full.parquet

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frequency_public.parquet

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