Update README.md

README.md

@@ -121,7 +121,7 @@ Portuguese, Italian).
 
 ## Corpus Statistics
 
-Each row in the dataset corresponds to **one VTT segment** (individual audio clip + transcript).  
+Each row in the dataset corresponds to **one segment** (individual audio clip + transcript).  
 The table below reflects sentence counts and total audio duration as reported in `docs/statistics.txt` per language.
 
 ### Arabic (`ar`)
@@ -161,13 +161,13 @@ The table below reflects sentence counts and total audio duration as reported in
 ### Schema
 
 Each example corresponds to **one audio segment** extracted from a full TEDx talk
-using the VTT timestamps.
+using the Kaldi segments timestamps file.
 
 | Field        | Type              | Description                                             |
 |--------------|-------------------|---------------------------------------------------------|
 | `id`         | `string`          | Unique segment id: `<talk_stem>_<index>` (e.g. `14zpc3Nj_e4_0003`) |
 | `audio`      | `Audio`           | Audio float32 waveform of the segment                    |
-| `transcript` | `string`          | Transcription text from the VTT file                    |
+| `transcript` | `string`          | Transcription text                                       |
 | `duration`   | `float32`         | Duration of the audio segment **in seconds**            |
 | `talk_id`    | `string`          | Source talk file stem                                   |
 | `segment_id` | `int32`           | 0-based index of the segment within its talk            |
@@ -226,11 +226,11 @@ Each language pack (`mtedx_<lang>.tgz`) contains:
 
 - `data/<split>/wav/` — Full-talk FLAC audio files
 - `data/<split>/vtt/` — WebVTT transcript files (`<id>.<lang>.vtt`)
-- `data/<split>/txt/` — Plain-text transcripts
+- `data/<split>/txt/` — Segments and Plain-text transcripts
 - `docs/statistics.txt` — Per-split statistics
 
 The upload script (`create_mtedx_dataset.py`) slices the full-talk FLAC files
-into individual segments using the VTT timestamps and discards segments shorter
+into individual segments using the kaldi segments timestamps and discards segments shorter
 than 0.5 s or longer than 30 s.
 
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