Update README.md

README.md

@@ -18,10 +18,9 @@ and speech modeling tasks that benefit from natural discourse flow.
 The dataset is created using a combination of WhisperX and Wav2Vec 2.0 models for robust automatic alignment and filtering. 
 Segments are formed by aggregating consecutive well-aligned words until encountering a speaker change or misalignment.
 
-Like other ParCzech4Speech variants, this dataset includes rich metadata and is released under the permissive **CC-BY**, allowing for commercial and academic use.
+The dataset is derived from the [**ParCzech 4.0**](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-5360) corpus (official transcripts of parliamentary sessions) and the corresponding [**AudioPSP 24.01**](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-5404) audios.
 
-👉 A **sentence-segmented variant** is also available (**ParCzech4Speech Sentence-Segmented**), optimized for tasks requiring clean sentence boundaries and stricter control over segment quality. 
-Users are encouraged to choose the variant that best fits their use case.
+This dataset includes rich metadata and is released under the permissive **CC-BY**, allowing for commercial and academic use.
 
 ## 🚨 Disclaimer
 
@@ -29,6 +28,10 @@ Users are encouraged to choose the variant that best fits their use case.
 The **complete version** containing all aligned segments will be made available **soon**. 
 All summary statistics shown below (e.g. total segment count, duration) are **computed on the complete dataset**, **not** the currently available subset. 
 
+## 🔔 Note
+
+📢 A **sentence-segmented variant** is also available [ParCzech4Speech (Sentence-Segmented Variant)](https://huggingface.co/datasets/ufal/parczech4speech-segmented), optimized for tasks requiring clean sentence boundaries and stricter control over segment quality. 
+
 
 ## Data Splits
 
@@ -62,6 +65,7 @@ Each row represents a continuous speech segment with rich metadata:
 
 ## Citation
 
+Please cite the dataset as follows:
 
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