Update README.md

README.md

@@ -1,46 +1,46 @@
----
-dataset_info:
-  features:
-  - name: speaker
-    dtype: string
-  - name: prompt_text
-    dtype: string
-  - name: chosen_text
-    dtype: string
-  - name: rejected_text
-    dtype: string
-  - name: prompt
-    dtype: audio
-  - name: chosen
-    dtype: audio
-  - name: rejected
-    dtype: audio
-  - name: auto_bleu2
-    dtype: float64
-  splits:
-  - name: validation
-    num_bytes: 12199479621.038
-    num_examples: 20006
-  - name: train
-    num_bytes: 28797300145.392
-    num_examples: 47928
-  download_size: 36106016770
-  dataset_size: 40996779766.43
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-license: mit
-task_categories:
-- audio-to-audio
-language:
-- en
-size_categories:
-- 10K<n<100K
----
+---
+dataset_info:
+  features:
+  - name: speaker
+    dtype: string
+  - name: prompt_text
+    dtype: string
+  - name: chosen_text
+    dtype: string
+  - name: rejected_text
+    dtype: string
+  - name: prompt
+    dtype: audio
+  - name: chosen
+    dtype: audio
+  - name: rejected
+    dtype: audio
+  - name: auto_bleu2
+    dtype: float64
+  splits:
+  - name: validation
+    num_bytes: 12199479621.038
+    num_examples: 20006
+  - name: train
+    num_bytes: 28797300145.392
+    num_examples: 47928
+  download_size: 36106016770
+  dataset_size: 40996779766.43
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+license: mit
+task_categories:
+- audio-to-audio
+language:
+- en
+size_categories:
+- 10K<n<100K
+---
 
 # SpokenSwag
 We present here SpokenSwag as described in the paper ["_Slamming_: Training a Speech Language Model on One GPU in a Day"](link).
@@ -50,7 +50,7 @@ We encourage you to also see the following resources, for further information:
 
 **Project Page:** https://pages.cs.huji.ac.il/adiyoss-lab/slamming/ \
 **Paper:** Soon! \
-**Code:** https://github.com/slp-rl/slam \
+**Code:** https://github.com/slp-rl/slamkit
 
 
 If you use our dataset, please cite the paper as follows:
@@ -80,7 +80,7 @@ from datasets import load_dataset
 spoken_swag = load_dataset('slprl/SpokenSwag')
 ```
 
-We refer you to the _Slam_ [codebase](https://github.com/slp-rl/slam) to see how you can train a SpeechLM with DPO over the dataset.
+We refer you to the _SlamKit_ [codebase](https://github.com/slp-rl/slamkit) to see how you can train a SpeechLM with DPO over the dataset.
 
 ## Data Fields