Datasets:

ufal
/

parczech4speech-unsegmented

Tasks:

Automatic Speech Recognition

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Dataset card Data Studio Files Files and versions Community

stanvla commited on 8 days ago

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@@ -43,14 +43,14 @@ 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. |
 | `start_token_id` | Starting token ID from the vertical format. |

 | Column | Description |
 |--------|-------------|
+| `true_text` | Unnormalized official transcript. |
 | `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` | 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. |
 | `start_token_id` | Starting token ID from the vertical format. |