```shell
# download validation-dataset first
mkdir natural-questions-validation
wget https://huggingface.co/datasets/vasudevgupta/natural-questions-validation/resolve/main/natural_questions-validation.arrow -P natural-questions-validation
wget https://huggingface.co/datasets/vasudevgupta/natural-questions-validation/resolve/main/dataset_info.json -P natural-questions-validation
wget https://huggingface.co/datasets/vasudevgupta/natural-questions-validation/resolve/main/state.json -P natural-questions-validation

# simply run following command
python3 evaluate.py
```

You can find our checkpoint on HuggingFace Hub ([see this](https://huggingface.co/vasudevgupta/flax-bigbird-natural-questions)). In case you are interested in PyTorch BigBird fine-tuning, you can refer to [this repositary](https://github.com/thevasudevgupta/bigbird).
The context provides specific URLs from which the natural-questions-validation dataset can be downloaded. The use of the `wget` command with the URLs clearly indicates the location from which the dataset can be obtained. Therefore, the question is clearly and unambiguously answerable with the given context.


This question is quite useful for machine learning developers working with NLP applications in the Hugging Face ecosystem. The natural-questions-validation dataset is a well-known dataset used for training and evaluating question-answering models. Knowing where to download it is essential for developers who want to experiment with or benchmark their models. This question directly addresses a practical need for accessing a specific dataset, which is a common task in the development process.


The question "Where can you download the natural-questions-validation dataset?" is clear and specific. It does not rely on any additional context to be understood. The question is straightforward and can be answered by someone with access to relevant documentation or resources, such as a data repository or dataset hosting platform. Therefore, it is context-independent.

