Datasets:
ufal
/

Modalities:
Audio
Text
Formats:
webdataset
Languages:
Czech
Libraries:
Datasets
WebDataset
License:
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@@ -24,12 +24,6 @@ The dataset is derived from the [**ParCzech 4.0**](https://lindat.mff.cuni.cz/re
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  This dataset includes rich metadata and is released under the permissive **CC-BY**, allowing for commercial and academic use.
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- ## 🚨 Disclaimer
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-
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- ⚠️ **Note:** The current release of this dataset is **partial** (~80%) and **does not yet include the full set of segments**.
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- The **complete version** containing all aligned segments will be made available **soon**.
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- All summary statistics shown below (e.g. total segment count, duration) are **computed on the complete dataset**, **not** the currently available subset.
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-
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  ## 🔔 Note
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  📢 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.
@@ -64,6 +58,22 @@ Each row represents a continuous speech segment with rich metadata:
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  | `wav2vec_rec` | Wav2Vec 2.0 decoded transcript used for verification. |
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  | `wav2vec_rec_edit_dist` | Normalized edit distance between `wav2vec_rec` and `rec_text`. |
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  ## Citation
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  This dataset includes rich metadata and is released under the permissive **CC-BY**, allowing for commercial and academic use.
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  ## 🔔 Note
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  📢 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.
 
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  | `wav2vec_rec` | Wav2Vec 2.0 decoded transcript used for verification. |
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  | `wav2vec_rec_edit_dist` | Normalized edit distance between `wav2vec_rec` and `rec_text`. |
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+ ## Available Versions
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+ - **`v1.0-full`** – Full dataset release with all intended data included. (Latest)
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+ - **`v0.1-partial`** – Initial partial upload containing a subset of the training data. *Kept for backward compatibility only. Users should prefer the full version.*
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+ By default, `load_dataset()` will download the latest version.
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+ To explicitly load a specific version, you can specify the `revision` parameter:
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load a specific version of the dataset
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+ dataset = load_dataset("ufal/parczech4speech-unsegmented", revision="v0.1-partial") # or "v1.0-full"
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+ ```
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+
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  ## Citation
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