clarified that repo needs to be cloned

README.md

@@ -43,18 +43,20 @@ How to compute your scores on the training data:
 1. If not already done, convert your predictions to a Huggingface dataset with the format described above.
 2. pass the references and predictions datasets to the `compute_MCC()` and `compute_seqeval()` function (from the `.py` files with the same names).
 
-How to load the data (assuming `./WIESP2022-NER-DEV.jsonl` is in the current directory, change as needed):
+How to load the data:  
+(assuming `./WIESP2022-NER-DEV.jsonl` is in the current directory, change as needed)
 - python (as list of dictionaries):
 ```
 import json
 with open("./WIESP2022-NER-DEV.jsonl", 'r') as f:
     wiesp_dev_json = [json.loads(l) for l in list(f)]
 ```
- - into Huggingface (as a Hugginface Dataset):
+ - into Huggingface (as a Huggingface Dataset):
 ```
 from datasets import Dataset
 wiesp_dev_from_json = Dataset.from_json(path_or_paths="./WIESP2022-NER-DEV.jsonl")
 ```
+(NOTE: currently loading from the Huggingface Dataset Hub directly does not work. You need to clone the repository locally)
 
 ## File list
 ```