Add README.md file

README.md

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 ---
 license: odc-by
+task_categories:
+- token-classification
+- text-classification
+language:
+- cs
+tags:
+- czech
+- punctuation
+- pos-tagging
+- syntax
+- neuro-symbolic
+- nanoGPT
+size_categories:
+- 10K<n<100K
+pretty_name: Czech Punctuation, POS and Syntactic Dataset
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: train/train_data.parquet
+  - split: validation
+    path: validation/validation_data.parquet
+  - split: test
+    path: test/test_data.parquet
 ---
+
+# Czech Punctuation, POS and Syntactic Dataset 🇨🇿
+### A High-Quality Dataset for Punctuation Restoration and Neuro-Symbolic LLM Grounding
+
+This dataset is a structured, linguistically annotated corpus of the Czech language, specifically designed for **Punctuation Restoration tasks**, **Part-of-Speech (POS) tagging**, and **token-level syntax embedding** (such as nanoGPT custom metadata training). 
+
+Unlike pure raw text corpora, this dataset provides a deterministic 1:1 token-level mapping of morphological features (word class, grammatical case) and dependency syntax roles (subject, predicate, object) directly derived via Stanford's state-of-the-art **Stanza pipeline** (trained on the Prague Dependency Treebank standard).
+
+---
+
+## 📊 Dataset Structure
+
+The dataset contains three official subsets split using a strict, reproducible **80% / 10% / 10%** distribution with seed shuffling:
+* **Train:** 80% of sentences
+* **Validation:** 10% of sentences
+* **Test:** 10% of sentences
+
+### Data Schema
+Every split is delivered in the optimized Apache Parquet format utilizing the following strict schema layout:
+
+| Column Name | Type | Description |
+| :--- | :--- | :--- |
+| `segment` | `string` | The original raw Czech sentence structure (text segment). |
+| `punctuation_type` | `string` | Classification target category based on the sentence ending/comma presence (`čárka`, `tečka`, `otazník`, `vykřičník`, `žádná`). |
+| `tokens_annotation` | `list (struct)` | An array of structured token profiles (excluding raw punctuation marks). |
+
+#### Inside `tokens_annotation` Struct:
+* `slovo` (*string*): The clean isolated token/word.
+* `slovni_druh` (*string*): Czech morphological category (`podstatne_jmeno`, `sloveso`, `zajmeno`, `prislovce`, `predlozka`, `jiny`).
+* `vetny_clen` (*string*): Syntactic dependency function (`podmet`, `prisudek`, `predmet`, `jiny`).
+* `pad` (*int64*): Real Czech grammatical case number (`1` to `7`), or `0` for indeclinable word classes.
+
+---
+
+## 💻 Usage Example
+
+You can instantly load this dataset using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+# Load the full dataset splits
+dataset = load_dataset("KRadim/czech-punctuation-pos-syntax")
+
+# Access individual splits
+train_data = dataset["train"]
+validation_data = dataset["validation"]
+test_data = dataset["test"]
+
+# Inspect an example row
+print(train_data[0])