Update README.md

README.md

@@ -71,7 +71,7 @@ Load the full dataset:
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("cadd-instruct")          # default "all" config
+ds = load_dataset("lukaskim/cadd-instruct")          # default "all" config
 print(ds["train"][0])
 ```
 
@@ -80,7 +80,7 @@ Filter the combined dataset by `source`:
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("cadd-instruct", split="train")
+ds = load_dataset("lukaskim/cadd-instruct", split="train")
 smiley = ds.filter(lambda ex: ex["source"] == "smileyllama")
 ```
 
@@ -89,8 +89,8 @@ Or load a specific source directly:
 ```python
 from datasets import load_dataset
 
-smiley = load_dataset("cadd-instruct", "smileyllama")
-link   = load_dataset("cadd-instruct", "linkllama")
+smiley = load_dataset("lukaskim/cadd-instruct", "smileyllama")
+link   = load_dataset("lukaskim/cadd-instruct", "linkllama")
 ```
 
 Stream instead of downloading everything up front:
@@ -98,7 +98,7 @@ Stream instead of downloading everything up front:
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("cadd-instruct", split="train", streaming=True)
+ds = load_dataset("lukaskim/cadd-instruct", split="train", streaming=True)
 for example in ds:
     print(example["input"], "->", example["output"])
     break
@@ -109,7 +109,7 @@ Format a row into a prompt for supervised fine-tuning:
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("cadd-instruct", split="train")
+ds = load_dataset("lukaskim/cadd-instruct", split="train")
 
 def to_prompt(ex):
     return {"text": f"{ex['instruction']}\n\n{ex['input']}\n{ex['output']}"}