Update README.md

README.md

@@ -1,22 +1,45 @@
----
-license: cc-by-nc-4.0
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: audio
-    dtype:
-      audio:
-        sampling_rate: 16000
-  splits:
-  - name: train
-    num_bytes: 6731807325.0
-    num_examples: 820
-  download_size: 6611613572
-  dataset_size: 6731807325.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+---
+license: cc-by-nc-4.0
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: audio
+    dtype:
+      audio:
+        sampling_rate: 16000
+  splits:
+  - name: train
+    num_bytes: 6731807325.0
+    num_examples: 820
+  download_size: 6611613572
+  dataset_size: 6731807325.0
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+---
+
+The WikiTongues speech corpus is a collection of conversational audio across 700+ languages. 
+It can be used for spoken language modelling or speech representation learning.
+This dataset includes the raw unsegmented audio in a 16kHz single channel format.
+Each clip is usually 2-10 minutes long, and contains one or more speakers conversing in their language(s).
+Sometimes, a speaker may switch languages within a single clip.
+The total dataset size is around 70 hours.
+
+**The current version of the dataset does not include labels for the language(s) being spoken in each clip. This information will be included in an update in the near future**
+
+This dataset was crawled from the [WikiTongues project](https://wikitongues.org/), which collected the original recordings. 
+We use this corpus to train XEUS, a multilingual speech encoder for 4000+ languages. For more details about the dataset and its usage, please refer to our paper.
+
+
+License and Acknowledgement
+
+WikiTongues is released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license.
+
+If you use this dataset, we ask that you cite our paper:
+
+```
+```
+And credit the original creators of the audio.