Update README.md

README.md

@@ -1,32 +1,49 @@
----
-license: mit
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: augment
-    path: data/augment-*
-  - split: dev
-    path: data/dev-*
-dataset_info:
-  features:
-  - name: audio
-    dtype:
-      audio:
-        sampling_rate: 16000
-  - name: transcription
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 8074974846.323382
-    num_examples: 51517
-  - name: augment
-    num_bytes: 5469608715.1524
-    num_examples: 6092
-  - name: dev
-    num_bytes: 131523760.6480159
-    num_examples: 1580
-  download_size: 16940862577
-  dataset_size: 13676107322.123798
----
+---
+license: mit
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: augment
+    path: data/augment-*
+  - split: dev
+    path: data/dev-*
+dataset_info:
+  features:
+  - name: audio
+    dtype:
+      audio:
+        sampling_rate: 16000
+  - name: transcription
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 8074974846.323382
+    num_examples: 51517
+  - name: augment
+    num_bytes: 5469608715.1524
+    num_examples: 6092
+  - name: dev
+    num_bytes: 131523760.6480159
+    num_examples: 1580
+  download_size: 16940862577
+  dataset_size: 13676107322.123798
+---
+
+
+
+For training and developing your models in the **closed track**, we provide the following datasets, which are publicly available on Hugging Face: The datasets represent a wide range of Arabic varieties and recording conditions, with over 85K training sentences in total. The datasets consist of dialectal, modern standard, classical, and code-switched Arabic speech and transcriptions. All except the Mixat and ArzEn subset are diacritized.
+
+| Dataset   | Type             | Diacritized | Train  | Dev |
+|-----------|------------------|:-----------:|:------:|:---:|
+| MDASPC    | Multi-dialectal  |    True     | 60677  |  >1K  |
+| TunSwitch | Dialectal, CS    |    True     |  5212  | 165 |
+| ClArTTS   | CA               |    True     |  9500  |  205  |
+| ArVoice   | MSA              |    True     |  2507  | – |
+| ArzEn     | Dialectal, CS    |    False    |  3344   |  –  |
+| Mixat     | Dialectal, CS    |    False    |  3721  |  –  |
+
+We removed samples containing fewer than 3 words and eliminated punctuations from all datasets to enhance consistency and quality. The resulted dataset contains 57K train and 1.5K for dev samples.
+
+For the closed track, you may use the full train/dev sets or a subset of them (for example, you may wish to use the undiacritized subsets for semi-supervised training or rely only on the diacritized subsets). For the open track, you can use these resources and/or any other resources for training, as long as they don't overlap with the test sets.