Update

package/benchmarks/nasbench201/README.md

@@ -17,7 +17,7 @@ Please note that this benchmark provides the results only at the last epoch of e
 
 ### class `Problem(dataset_id: int, seed: int | None = None, metric_names: list[str] | None = None)`
 
-- `dataset_id`: [ID of the dataset](https://numbbo.github.io/coco/testsuites/bbob) to use. It must be in the range of `[0, 2]`. Please use `Problem.available_dataset_names` to see the available dataset names.
+- `dataset_id`: ID of the dataset to use. It must be in the range of `[0, 2]`. Please use `Problem.available_dataset_names` to see the available dataset names.
 - `seed`: The seed for the random number generator of the dataset.
 - `metric_names`: The metrics to use in optimization. Defaults to `None`, leading to single-objective optimization of the main metric defined in [here](https://github.com/nabenabe0928/simple-hpo-bench/blob/v0.2.0/hpo_benchmarks/nasbench201.py#L16). Please use `Problem.available_metric_names` to see the available metric names.
 
@@ -74,7 +74,7 @@ print(study.best_trial)
 
 ### Reference
 
-This benchmark was originally introduced by [Xuanyi Dong](https://github.com/automl/nas_benchmarks/tree/master), but our backend relies on [`simple-hpo-bench`](https://github.com/D-X-Y).
+This benchmark was originally introduced by [Xuanyi Dong](https://github.com/D-X-Y), but our backend relies on [`simple-hpo-bench`](https://github.com/nabenabe0928/simple-hpo-bench/).
 
 ### Bibtex