Card

README.md

@@ -36,14 +36,15 @@ unchanged, with the same ids, columns and train/test split, by `scripts/sync_sub
 project repository. Do not edit this dataset directly: fix the row in the main dataset and re-sync.
 The subset grows as new takes are published.
 
-**Speaker:** Daniel Rosehill, the dataset's author, who was born in Ireland and speaks English with an **Irish accent**, and who lives in Jerusalem. Every recording is his voice.
+**Speaker:** Daniel Rosehill, the dataset's author, who was born in Ireland and speaks English with an **Irish accent**, and who lives in Jerusalem. Every recording is his voice. **Deliberate variation:** he sometimes changes his speaking speed on purpose (fast and rushed, or slow) and sometimes says a word the way people commonly mispronounce it, to make the models robust to real speech. The transcript is always the sentence as written, so a take whose speed or pronunciation sounds off against its card is usually intentional, not a recording error.
 
 All audio was recorded on a **OnePlus Nord 3 5G** phone using its **internal microphone**, with browser echo cancellation, noise suppression and auto gain turned off.
 
 ## Layout
 
 ```
-data/train/audio/<id>.wav    16 kHz mono 16-bit PCM
+data/train/audio/<id>.flac   48 kHz mono 24-bit FLAC (rows from 2026-10-22)
+data/train/audio/<id>.wav    16 kHz mono 16-bit PCM (earlier rows)
 data/train/metadata.jsonl
 data/test/...                held-out set, never trained on
 ```
@@ -56,7 +57,7 @@ The `test` split is **term-disjoint**: a held-out term never appears in `train`.
 The columns are the same as in the main dataset: `text` (ground truth, punctuated and cased like
 Parakeet v2 output), `text_he` (the same transcript with its Hebrew terms in Hebrew script, for
 Hebrew-capable models), `categories`, `target_terms`, `prompt_source`, `prompt_origin` (manual / dataset / generated), `edited`, `duration_s`,
-`environment`, `conditions`, `device`, `speaker`, `speaker_gender` and `recorded_at`. The main dataset's card describes them.
+`environment`, `conditions`, `device`, `speaker`, `speaker_gender`, `contributor`, `hebrew_pronunciation`, `variant_groups`, `variant_spelling` and `recorded_at`. The main dataset's card describes them.
 
 ## Licence