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docs/Dataset.md

 # Datasets and Evaluation Metrics
 
-The provided fine tuning script allows you to select between three datasets by passing the `dataset` arg to the `llama_recipes.finetuning` module or `examples/finetuning.py` script. The current options are `grammar_dataset`, `alpaca_dataset`and `samsum_dataset`. Additionally, we integrate the OpenAssistant/oasst1 dataset as an [example for a custom dataset](./examples/custom_dataset.py) Note: Use of any of the datasets should be in compliance with the dataset's underlying licenses (including but not limited to non-commercial uses)
+The provided fine tuning script allows you to select between three datasets by passing the `dataset` arg to the `llama_recipes.finetuning` module or `examples/finetuning.py` script. The current options are `grammar_dataset`, `alpaca_dataset`and `samsum_dataset`. Additionally, we integrate the OpenAssistant/oasst1 dataset as an [example for a custom dataset](../examples/custom_dataset.py) Note: Use of any of the datasets should be in compliance with the dataset's underlying licenses (including but not limited to non-commercial uses)
 
 * [grammar_dataset](https://huggingface.co/datasets/jfleg) contains 150K pairs of english sentences and possible corrections.
 * [alpaca_dataset](https://github.com/tatsu-lab/stanford_alpaca) provides 52K instruction-response pairs as generated by `text-davinci-003`.
@@ -20,7 +20,7 @@ To supply a custom dataset you need to provide a single .py file which contains
 ```@python
 def get_custom_dataset(dataset_config, tokenizer, split: str):
 ```
-For an example `get_custom_dataset` you can look at the provided datasets in llama_recipes.datasets or [examples/custom_dataset.py](examples/custom_dataset.py).
+For an example `get_custom_dataset` you can look at the provided datasets in llama_recipes.datasets or [examples/custom_dataset.py](../examples/custom_dataset.py).
 The `dataset_config` in the above signature will be an instance of llama_recipes.configs.dataset.custom_dataset with the modifications made through the command line.
 The split signals wether to return the training or validation dataset.
 The default function name is `get_custom_dataset` but this can be changes as described below.