Subtask 1 - Multi-label country-level Dialect Identification (MLDID) Leaderboard
Rank | Team | F1 | Accuracy | Precision | Recall |
1 | Elyadata | 50.5700 | 67.5000 | 46.4800 | 57.0900 |
2 | NLP_DI | 43.2700 | 71.8800 | 53.6400 | 37.4200 |
3 | dzNLP | 20.9800 | 71.3800 | 63.2200 | 12.8700 |
Subtask 2 - ALDi Estimation Leaderboard
Rank | Team | RMSE |
1 | ASOS | 0.1403 |
2 | AlexUNLP-STM | 0.1406 |
3 | CUFE | 0.2001 |
Subtask 3 - DA-MSA Machine Translation Leaderboard
Rank | Team | Overall | Egyptain | Emirati | Jordanian | Palestinian |
1 | Arabic Train | 0.2044 | 0.1657 | 0.2338 | 0.2137 | 0.2062 |
2 | Alson | 0.1746 | 0.1676 | 0.1253 | 0.2094 | 0.1843 |
3 | ASOS | 0.1713 | 0.1482 | 0.1939 | 0.1580 | 0.1838 |
4 | CUFE | 0.1609 | 0.1486 | 0.1735 | 0.1598 | 0.1620 |
5 | MBZUAI BLEU | 0.1054 | 0.0853 | 0.0761 | 0.1572 | 0.1108 |
6 | VBNN | 0.0924 | 0.0862 | 0.0630 | 0.1179 | 0.1054 |
7 | MBZUAI BADG | 0.0278 | 0.0303 | 0.0174 | 0.0391 | 0.0248 |
8 | Shaheen | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |