Update README.md

README.md

@@ -15,7 +15,7 @@ This repository hosts a Hugging Face Space that provides an API for submitting m
 Here **XGBoost** models are trained on the Tox21 dataset, and the trained models are provided for inference.  The input to the model is a **SMILES** string of the small molecule, and the output are 12 numeric values for each of the toxic effects of the Tox21 dataset. 
 
 
-**Important:** For leaderboard submission, your Space needs to include training code. The file `train.py` should train the model using the config specified inside the `config/` folder and save the final model parameters into a file inside the `checkpoints/` folder. The model should be trained using the [Tox21_dataset](https://huggingface.co/datasets/tschouis/tox21) provided on Hugging Face. The datasets can be loaded like this:
+**Important:** For leaderboard submission, your Space needs to include training code. The file `train.py` should train the model using the config specified inside the `config/` folder and save the final model parameters into a file inside the `checkpoints/` folder. The model should be trained using the [Tox21_dataset](https://huggingface.co/datasets/ml-jku/tox21) provided on Hugging Face. The datasets can be loaded like this:
 ```python
 from datasets import load_dataset
 ds = load_dataset("ml-jku/tox21", token=token)
@@ -62,7 +62,7 @@ That’s it, your model will be available as an API endpoint for the Tox21 Leade
 To run (and train) the XGBoost, clone the repository and install dependencies:
 
 ```bash
-git clone https://huggingface.co/spaces/tschouis/tox21_xgboost_classifier
+git clone https://huggingface.co/spaces/ml-jku/tox21_xgboost_classifier
 cd tox_21_xgb_classifier
 
 conda create -n tox21_xgb_cls python=3.11