Update README.md

README.md

@@ -1056,16 +1056,16 @@ configs:
 
 ## Dataset Description
 
-EuroSpeech is a large-scale multilingual speech corpus containing high-quality aligned parliamentary speech across 18 European languages. The dataset was constructed by processing parliamentary proceedings using a robust alignment pipeline that handles diverse audio formats and non-verbatim transcripts.
+EuroSpeech is a large-scale multilingual speech corpus containing high-quality aligned parliamentary speech across 22 European languages. The dataset was constructed by processing parliamentary proceedings using a robust alignment pipeline that handles diverse audio formats and non-verbatim transcripts.
 
 ### Dataset Summary
 
-- **Languages**: 18 European languages (see detailed breakdown below)
-- **Total aligned hours**: ~58,200 hours of aligned speech-text data
+- **Languages**: 22 European languages (see detailed breakdown below)
+- **Total aligned hours**: ~78,100 hours of initially aligned speech-text data
 - **Quality-filtered subsets**:
-  - CER < 30%: approximately 48,350 hours (78.2% of aligned data)
-  - CER < 20%: approximately 40,950 hours (66.3% of aligned data) - primary subset
-  - CER < 10%: approximately 28,457 hours (46.0% of aligned data)
+  - CER < 30%: approximately 61,000 hours
+  - CER < 20%: approximately 50,500 hours (this is the primary subset provided directly through the Hugging Face Datasets interface for all languages)
+  - CER < 10%: approximately 32,200 hours
 - **Domain**: Parliamentary proceedings (formal speaking style)
 - **Audio segment length**: Typically 3-20 seconds
 - **Format**: Audio segments with paired transcriptions
@@ -1073,30 +1073,34 @@ EuroSpeech is a large-scale multilingual speech corpus containing high-quality a
 ### Languages
 
 EuroSpeech provides substantial data for previously under-resourced languages:
-- 15 languages exceed 1,000 hours of data (CER < 20%)
-- 17 languages exceed 500 hours of data (CER < 20%)
+- 19 languages exceed 1,000 hours of data (CER < 20%)
+- 22 languages exceed 500 hours of data (CER < 20%)
 
-| Language | Code | Total Aligned (h) | CER < 30% (h) | CER < 20% (h) | CER < 10% (h) |
-|----------|------|-------------------|---------------|---------------|---------------|
-| Croatia | hr | 7485.8 | 5899.7 | 5560.3 | 4592.0 |
-| Denmark | da | 7014.6 | 6435.0 | 5415.4 | 3443.7 |
-| Norway | no | 5327.4 | 4578.8 | 3746.2 | 2252.2 |
-| Portugal | pt | 5096.8 | 4036.7 | 3196.8 | 2105.9 |
-| Italy | it | 4815.5 | 3539.6 | 2724.0 | 1767.3 |
-| Slovakia | sk | 2820.9 | 2679.6 | 2524.8 | 2037.9 |
-| Greece | el | 3096.9 | 2717.6 | 2341.9 | 1620.9 |
-| Sweden | sv | 3849.8 | 2862.6 | 2231.2 | 1360.1 |
-| Germany | de | 2472.8 | 2354.2 | 2154.7 | 1698.4 |
-| Bulgaria | bg | 3420.7 | 2570.4 | 2146.2 | 1472.8 |
-| Finland | fi | 2131.2 | 1991.4 | 1823.0 | 1442.2 |
-| Serbia | sr | 2263.6 | 1985.1 | 1830.1 | 1374.1 |
-| Ukraine | uk | 1287.9 | 1238.3 | 1182.6 | 1029.8 |
-| Slovenia | sl | 1338.9 | 1241.7 | 1141.6 | 900.5 |
-| Latvia | lv | 2049.6 | 1627.9 | 1158.9 | 499.9 |
-| Estonia | et | 1378.9 | 1235.0 | 856.3 | 351.9 |
-| Bosnia & Herzegovina | bcs | 855.5 | 777.5 | 675.7 | 445.3 |
-| Malta | mt | 1486.2 | 579.1 | 244.4 | 61.9 |
-| **Total** | | **58193.0** | **48350.2** | **40954.7** | **28456.8** |
+| Language         | Code & Total Aligned (h) & CER < 30\% (h) & CER < 20\% (h) & CER < 10\% (h) |
+|------------------|------|-------------------|----------------|----------------|----------------|
+| Croatia          | hr   | 7484.9            | 5899.7         | 5615.8         | 4592.0         |
+| Denmark          | da   | 7014.2            | 6435.0         | 5559.8         | 3443.7         |
+| Norway           | no   | 5326.2            | 4578.8         | 3866.7         | 2252.2         |
+| Portugal         | pt   | 5096.3            | 4036.7         | 3293.5         | 2105.9         |
+| Italy            | it   | 4812.8            | 3539.6         | 2813.7         | 1767.3         |
+| Lithuania        | lt   | 5537.9            | 3971.0         | 2681.2         | 956.6          |
+| United Kingdom   | en   | 5212.2            | 3790.7         | 2609.3         | 1175.0         |
+| Slovakia         | sk   | 2863.4            | 2722.4         | 2553.6         | 2070.8         |
+| Greece           | el   | 3096.7            | 2717.6         | 2395.4         | 1620.9         |
+| Sweden           | sv   | 3819.4            | 2862.6         | 2312.8         | 1360.1         |
+| France           | fr   | 5476.8            | 2972.1         | 2249.8         | 1347.6         |
+| Bulgaria         | bg   | 3419.6            | 2570.4         | 2200.1         | 1472.8         |
+| Germany          | de   | 2472.2            | 2354.2         | 2184.4         | 1698.4         |
+| Serbia           | sr   | 2263.1            | 1985.1         | 1855.7         | 1374.1         |
+| Finland          | fi   | 2130.6            | 1991.4         | 1848.2         | 1442.2         |
+| Latvia           | lv   | 2047.4            | 1627.9         | 1218.8         | 499.9          |
+| Ukraine          | uk   | 1287.8            | 1238.3         | 1191.1         | 1029.8         |
+| Slovenia         | sl   | 1338.2            | 1241.7         | 1156.4         | 900.5          |
+| Estonia          | et   | 1701.1            | 1430.9         | 1014.9         | 382.5          |
+| Bosnia \& Herz.  | bs   | 860.2             | 781.9          | 691.3          | 447.8          |
+| Iceland          | is   | 1586.1            | 974.1          | 647.4          | 171.4          |
+| Malta            | mt   | 3281.6            | 1284.3         | 613.0          | 143.9          |
+| **Total**        |      | **78128.6**       | **61006.4**    | **50572.9**    | **32255.5**    |
 
 ## Dataset Structure
 
@@ -1115,7 +1119,7 @@ The dataset provides predefined train, development, and test splits for each lan
 
 ### Source Data
 
-The data was collected from parliamentary proceedings across 18 European nations. Parliamentary sessions offer high-quality speech in a formal register, typically featuring clear speech with good audio quality and professional transcripts.
+The data was collected from parliamentary proceedings across 22 European nations. Parliamentary sessions offer high-quality speech in a formal register, typically featuring clear speech with good audio quality and professional transcripts.
 
 ### Data Collection and Processing
 
@@ -1184,7 +1188,11 @@ The dataset provides multiple quality tiers based on Character Error Rate (CER):
 
 ### Dataset Curators
 
-[To be completed with author information after publication]
+- Samuel Pfisterer ([@SamuelPfisterer1](https://huggingface.co/SamuelPfisterer1))
+- Florian Grötschla ([@FloGr](https://huggingface.co/FloGr))
+- Luca Lanzendörfer ([@lucala](https://huggingface.co/lucala))
+- Florian Yan ([@floyan](https://huggingface.co/floyan))
+- Roger Wattenhofer
 
 ### Maintenance Status
 
@@ -1192,5 +1200,5 @@ The dataset provides multiple quality tiers based on Character Error Rate (CER):
 
 ### Links
 
-- [Download links to be added upon publication]
-- [GitHub repository link to be added] 
+- [EuroSpeech on Hugging Face Datasets](https://huggingface.co/datasets/disco-eth/EuroSpeech)
+- [EuroSpeech GitHub Repository](https://github.com/SamuelPfisterer/EuroSpeech)