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README.md

@@ -1,36 +1,51 @@
 ---
-dataset_info:
-  features:
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': responsibilities
-          '1': requirements
-          '2': terms
-          '3': notes
-          '4': junk
-  - name: text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 2136990
-    num_examples: 13973
-  - name: validation
-    num_bytes: 313817
-    num_examples: 2082
-  - name: test
-    num_bytes: 318234
-    num_examples: 2090
-  download_size: 1346728
-  dataset_size: 2769041
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+language:
+  - ru
+license: cc-by-4.0
+task_categories:
+  - text-classification
+task_ids:
+  - multi-class-classification
+tags:
+  - russian
+  - vacancy
+  - recruitment
+  - section-classification
+  - hh.ru
+size_categories:
+  - 10K<n<100K
 ---
+
+# Vacancy Section Classifier Dataset (RU)
+
+Russian-language dataset for 5-class classification of job vacancy text sections scraped from hh.ru.
+
+## Classes
+
+| ID | Label | Description |
+|----|-------|-------------|
+| 0 | responsibilities | Job responsibilities / duties |
+| 1 | requirements | Candidate requirements & skills |
+| 2 | terms | Employment terms, salary, benefits |
+| 3 | notes | Company self-intro, perks, culture |
+| 4 | junk | Headers, boilerplate, noise |
+
+## Dataset Construction
+
+- **Source**: hh.ru job vacancies (2024–2025), crawled and chunked by semantic boundaries
+- **Splits**: train / validation / test (stratified)
+- **Total rows**: ~18 000 (combined_ds union of 9 internal splits)
+- **Labeling**: mix of rule-based pre-labeling + Opus-4 relabeling pass (Tier-2 Opus relabel raised content F1 from 67% → 75%)
+- **Anonymization**: all employer names replaced with industry segment tokens (БАНК, РИТЕЙЛ, ТЕЛЕКОМ, IT-КОМПАНИЯ, ИТ-ИНТЕГРАТОР, ГОССЕКТОР, НЕФТЕГАЗ-ПРОМ, СТРАХОВАНИЕ, ФИНТЕХ-ЛИЗИНГ, ФАРМА-МЕД, ОБРАЗОВАНИЕ, КОМПАНИЯ). Tech-stack tokens (1С, PostgreSQL, Astra Linux, Kaspersky, …) are preserved as label signal.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("russian-oracle/vacancy-section-classifier-ru")
+```
+
+## Related
+
+- Model: [russian-oracle/rubert-tiny-vacancy-section-classifier-coreml](https://huggingface.co/russian-oracle/rubert-tiny-vacancy-section-classifier-coreml)