Update README.md

README.md

@@ -144,36 +144,39 @@ print(f"Text: {transcription}")
 
 ## Read-aloud Data Statistics
 
-- **Audio**: 366.6/2.7/7.6 hours in the train/val/test split, respectively.
-- **Speakers**: 566/10/21 speakers in the train/val/test split, respectively.
+### Train Split
 
-### Test distribution
+There are ~365 hours of audio in the train split, with ~565 speakers, reading ~152,000
+unique sentences aloud.
 
 Gender distribution:
-- female: 58%
-- male: 42%
+- female: 74%
+- male: 26%
 
 Dialect distribution:
-- Bornholmsk: 10%
-- Fynsk: 10%
-- Københavnsk: 10%
-- Nordjysk: 11%
-- Sjællandsk: 11%
-- Sydømål: 14%
-- Sønderjysk: 10%
-- Vestjysk: 12%
-- Østjysk: 11%
+- Bornholmsk: 2%
+- Fynsk: 5%
+- Københavnsk: 15%
+- Nordjysk: 16%
+- Sjællandsk: 14%
+- Sydømål: 0.2%
+- Sønderjysk: 5%
+- Vestjysk: 11%
+- Østjysk: 33%
+
+Accent distribution:
+- native: 97%
+- foreign: 3%
 
 Age group distribution:
-- 0-24: 28%
-- 25-49: 32%
-- 50-: 40%
+- 0-24: 6%
+- 25-49: 36%
+- 50-: 57%
 
-Accent distribution:
-- native: 90%
-- foreign: 10%
+### Validation Split
 
-### Validation distribution
+There are 2.97 hours of audio in the validation split, with 10 speakers, reading 1,789
+unique sentences aloud.
 
 Gender distribution:
 - female: 45%
@@ -190,14 +193,43 @@ Dialect distribution:
 - Vestjysk: 8%
 - Østjysk: 9%
 
+Accent distribution:
+- native: 81%
+- foreign: 19%
+
 Age group distribution:
 - 0-24: 11%
 - 25-49: 39%
 - 50-: 51%
 
+### Test Split
+
+There are 8.44 hours of audio in the test split, with 22 speakers, reading 5,287 unique
+sentences aloud.
+
+Gender distribution:
+  - female: 58%
+  - male: 42%
+
+Dialect distribution:
+  - Bornholmsk: 10%
+  - Fynsk: 10%
+  - Københavnsk: 10%
+  - Nordjysk: 11%
+  - Sjællandsk: 11%
+  - Sydømål: 14%
+  - Sønderjysk: 10%
+  - Vestjysk: 12%
+  - Østjysk: 11%
+
 Accent distribution:
-- native: 81%
-- foreign: 19%
+- native: 90%
+- foreign: 10%
+
+Age group distribution:
+  - 0-24: 28%
+  - 25-49: 32%
+  - 50-: 40%
 
 
 ## Conversational Data Statistics
@@ -206,14 +238,22 @@ The conversational data is not yet available, but we are working on it and plan
 release it during 2024.
 
 
-## Example Applications
-- ASR Model Training: Train robust ASR models that can handle dialectal variations and
-  diverse speaker demographics in Danish.
-- Dialect Studies: Analyse the linguistic features of different Danish dialects.
+## Example Use Cases
 
-**Note** Speech Synthesis and Biometric Identification are not allowed using CoRal. For
-more information see
-[license](https://huggingface.co/datasets/alexandrainst/coral/blob/main/LICENSE) ad. 4
+### ASR Model Training
+
+Train robust ASR models that can handle dialectal variations and diverse speaker
+demographics in Danish.
+
+### Dialect Studies
+
+Analyse the linguistic features of different Danish dialects.
+
+### Forbidden Use Cases
+
+Speech Synthesis and Biometric Identification are not allowed using the CoRal dataset.
+For more information, see addition 4 in our
+[license](https://huggingface.co/datasets/alexandrainst/coral/blob/main/LICENSE).
 
 
 ## License
@@ -244,4 +284,4 @@ your research or development, please cite it as follows:
   year      = {2024},
   url       = {https://hf.co/datasets/alexandrainst/coral},
 }
-```
+```