Datasets:
Upload TRANSCRIPT_VARIANTS.md with huggingface_hub
Browse files- TRANSCRIPT_VARIANTS.md +45 -0
TRANSCRIPT_VARIANTS.md
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Transcript Variants
|
| 2 |
+
|
| 3 |
+
This project contains two distinct sources of transcriptions for the same corpus of ~4885 sentences.
|
| 4 |
+
|
| 5 |
+
## 1. Reference Transcript (PDF Based)
|
| 6 |
+
- **Source**: Extracted from `atrinkti sak 2a.pdf` (provided by dataset authors).
|
| 7 |
+
- **Processed File**: `atrinkti_sak_lines.txt`
|
| 8 |
+
- **Characteristics**:
|
| 9 |
+
- Represents the intended text.
|
| 10 |
+
- Contains accurate Unicode characters and stress marks (mapped to ASCII symbols `^` for Acute, `~` for Tilde, `` ` `` for Grave).
|
| 11 |
+
- Used as the source of truth for capitalization and spelling in the generated JSONs.
|
| 12 |
+
|
| 13 |
+
## 2. Machine-Predicted Transcripts (Number Based)
|
| 14 |
+
- **Origin**: These transcripts were generated by feeding raw (unstressed) text into a statistical accentuation model.
|
| 15 |
+
- The model is a deconstructed component of the **Liepa** synthesis engine.
|
| 16 |
+
- Source Code: [aleksas/phonology_engine](https://github.com/aleksas/phonology_engine)
|
| 17 |
+
- **Differences**:
|
| 18 |
+
- Since these are statistical predictions, the stress sometimes differs from the PDF reference.
|
| 19 |
+
- `edvardas` transcript is missing one sentence (ID 2435 in reference).
|
| 20 |
+
|
| 21 |
+
## 3. Combined Output (`.json`)
|
| 22 |
+
The generated JSON files (`aiste.json`, etc.) compile these sources.
|
| 23 |
+
- **`id`**: The 1-based line number from the speaker's transcript file.
|
| 24 |
+
- **`ref_id`**: The corresponding 1-based line number in the PDF reference (`atrinkti_sak_lines.txt`).
|
| 25 |
+
- Maps correctly even for `edvardas` (skips the missing line).
|
| 26 |
+
- Is `null` if the transcript line has no corresponding reference line (e.g. extra metadata lines at the end).
|
| 27 |
+
- **`text`**: The sentence text with capitalization restored from the PDF reference (where available).
|
| 28 |
+
- **`text_stressed_ascii_a`**: Text with **machine-predicted** stress, visualized using ASCII symbols (`^`, `~`, `` ` ``).
|
| 29 |
+
- **`text_stressed_unicode_a`**: Text with **machine-predicted** stress, using standard Unicode combining diacritics.
|
| 30 |
+
- **`text_stressed_ascii_b`**: Text with **PDF reference** stress, visualized using ASCII symbols.
|
| 31 |
+
- **`text_stressed_unicode_b`**: Text with **PDF reference** stress, using standard Unicode combining diacritics.
|
| 32 |
+
|
| 33 |
+
Note: Variants `_a` come from the statistical model (Transcript), while variants `_b` come from the original PDF source.
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
## 4. Accent Mapping
|
| 37 |
+
We process accents into two formats: ASCII-based (for readability/legacy) and Unicode combining diacritics.
|
| 38 |
+
|
| 39 |
+
### Stress Types
|
| 40 |
+
|
| 41 |
+
| Stress Name | ASCII Symbol | Unicode Combining | Example (ASCII) |
|
| 42 |
+
|-------------|--------------|-------------------|-----------------|
|
| 43 |
+
| **Grave** | `` ` `` | `\u0300` | `a`` |
|
| 44 |
+
| **Acute** | `^` | `\u0301` | `a^` |
|
| 45 |
+
| **Tilde** | `~` | `\u0303` | `a~` |
|