Update README.md

README.md

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----
-license: cc-by-2.0
----
+---
+license: cc-by-2.0
+task_categories:
+- automatic-speech-recognition
+- text-to-speech
+language:
+- cs
+size_categories:
+- 1M<n<10M
+---
+
+# Dataset Summary
+
+**ParCzech4Speech (Unsegmented Variant)** is a large-scale Czech speech dataset derived from parliamentary recordings and official transcripts. 
+This variant captures **continuous speech segments** without enforcing sentence boundaries, making it well-suited for real-world streaming ASR scenarios 
+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.
+
+👉 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.
+
+## 🚨 Disclaimer
+
+⚠️ **Note:** The current release of this dataset is **partial** (~80%) and **does not yet include the full set of segments**. 
+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. 
+
+
+## Data Splits
+
+| Split | Segments | Hours | Speakers |
+|-------|----------|-------|----------|
+| Train | 1,311,027 | 2631  | 527      |
+| Dev   | 20,352    | 43.43 | 30       |
+| Test  | 9,127     | 21.37 | 30       |
+
+## Dataset Structure
+
+Each row represents a continuous speech segment with rich metadata:
+
+| Column | Description |
+|--------|-------------|
+| `true_text` | Official transcript (normalized, lowercased, punctuation removed). |
+| `rec_text` | Whisper-based ASR output. |
+| `speaker` | Speaker ID in the format `Name.DateOfBirth`. |
+| `dur` | Duration of the segment in seconds. |
+| `vert` | Name of the vertical file from ParCzech 4.0. |
+| `n_numbers` | Number of numeric tokens in `true_text`. |
+| `n_true_words` | Number of words in the segment. |
+| `seg_edit_dist` | Normalized Levenshtein distance between `true_text` and `rec_text`. |
+| `align_edit_dist_max` | Maximum edit distance among aligned word pairs. |
+| `true_char_avg_dur` | **Average per-character duration**, computed at the word level (range 0.035–1.0s/char). |
+| `start_token_id` | Starting token ID from the vertical format. |
+| `end_token_id` | Ending token ID. |
+| `wav2vec_rec` | Wav2Vec 2.0 decoded transcript used for verification. |
+| `wav2vec_rec_edit_dist` | Normalized edit distance between `wav2vec_rec` and `rec_text`. |
+
+
+## Citation
+
+
+```
+TODO
+```