Update README.md

README.md

@@ -9,7 +9,7 @@ Data, knowledge store and source code to reproduce the baseline experiments for
 
 ## NEWS:
  - 19.04.2024: The submisstion page (with eval.ai) for the shared-task is alive, you can participate by submitting your predictions [here](https://eval.ai/web/challenges/challenge-page/2285/overview)!
- - 15.07.2024: To facilitate human evaluation we now ask the submission files to include a `scraped_text' field in your submission file, have a look in []() for more information!
+ - 15.07.2024: To facilitate human evaluation we now ask the submission files to include a `scraped_text` field in your submission file, have a look in [here](https://huggingface.co/chenxwh/AVeriTeC#format-for-submission-files) for more information!
 
 
 ## Dataset
@@ -131,7 +131,7 @@ python -m src.prediction.evaluate_veracity
 
 To facilitate human evaluation, the submission file should include the text of the evidence documents used, retrieved through the `url` field. If external knowledge is utilized, please provide the scraped text. If our provided knowledge store is used, this can be achieved by running the following code block (see [veracity_with_scraped_text.py](https://huggingface.co/chenxwh/AVeriTeC/blob/main/src/prediction/veracity_with_scraped_text.py) for adding the text to the previous prediction file. An example output for the dev set is [here](https://huggingface.co/chenxwh/AVeriTeC/blob/main/data_store/dev_veracity_prediction_for_submission.json).
 ```bash
-python -m src.prediction.veracity_with_scraped_text --knowledge_store_dir <directory of the the knowledge store json files>
+python -m src.prediction.veracity_with_scraped_text --knowledge_store_dir <directory_of_the_knowledge_store>
 ```
 
 Each line of the final submission file is a json object with the following information: