Update README.md file

README.md

@@ -78,8 +78,37 @@ test_data = dataset["test"]
 print(train_data[0])
 ```
 
+## JSON Record Preview
+
+```json
+{
+  "segment": "Co je na nich tak tajného?",
+  "punctuation_type": "otazník",
+  "tokens_annotation": [
+    { "slovo": "Co", "slovni_druh": "zajmeno", "vetny_clen": "podmet", "pad": 1 },
+    { "slovo": "je", "slovni_druh": "sloveso", "vetny_clen": "jiny", "pad": 0 },
+    { "slovo": "na", "slovni_druh": "predlozka", "vetny_clen": "jiny", "pad": 6 },
+    { "slovo": "nich", "slovni_druh": "zajmeno", "vetny_clen": "jiny", "pad": 6 },
+    { "slovo": "tak", "slovni_druh": "prislovce", "vetny_clen": "jiny", "pad": 0 },
+    { "slovo": "tajného", "slovni_druh": "jiny", "vetny_clen": "prisudek", "pad": 2 }
+  ]
+}
+```
+
+## 🛠️ Pipeline Construction Method
+
+1. **Ingestion & Balance:** Aggregated raw multi-domain source datasets uniformly distributed across 5 structural punctuation categories.
+2. **Deep Neural Annotation:** Processed locally using Stanford Stanza's Czech syntax parser. This ensures authentic dependency parsing and prevents the data hallucinations often introduced by Generative LLMs.
+3. **Symbolic Normalization:** Native UPOS tags and feature vectors mapped cleanly to Czech vocabulary definitions (`podmet`, `prisudek`, pádové reprezentace).
+4. **Cloud-Native Serialization:** Combined, shuffled (`seed=42`), sliced, and cast into an explicit PyArrow Table Layout with Snappy compression for instantaneous loading times.
+
 ## Detailed procedure for creating a dataset:
 
 1. **Part 1:** ⚙️ [Create Czech text dataset for training](https://www.kaggle.com/code/radimkzl/czech-text-dataset)
 2. **Part 2:** 🔬 [CZECH NEURO-SYMBOLIC DATASET TRANSFORMER (STANZA VERSION)](https://www.kaggle.com/code/radimkzl/enrichment-czech-text-dataset)
-3. **Part 3:** 💾 [FINAL PRODUCTION EXPORT & HUGGING FACE PUSH (80/10/10 SPLIT)](https://www.kaggle.com/code/radimkzl/export-czech-punctuation-pos-syntax-dataset#FINAL-PRODUCTION-EXPORT-&-HUGGING-FACE-PUSH-(80/10/10-SPLIT))
+3. **Part 3:** 💾 [FINAL PRODUCTION EXPORT & HUGGING FACE PUSH (80/10/10 SPLIT)](https://www.kaggle.com/code/radimkzl/export-czech-punctuation-pos-syntax-dataset#FINAL-PRODUCTION-EXPORT-&-HUGGING-FACE-PUSH-(80/10/10-SPLIT))
+
+## 📜 Licensing & Acknowledgments
+
+The text annotations and structural database components are compiled from open Czech resources and processed via the Stanford Stanza framework. This dataset is made available under the **Open Data Commons Attribution License (ODC-BY v1.0)**. 
+You are free to share, modify, and use the dataset for commercial or non-commercial purposes, provided that you attribute the source appropriately.