❓ Sharing ElasticSearch indexed dataset 
Hello @pietrolesci , I am not sure to understand what you are trying to do here.

If you're looking for ways to save a dataset on disk, you can you the `save_to_disk` method:
```python
>>> import datasets
>>> loaded_dataset = datasets.load("dataset_name")
>>> loaded_dataset.save_to_disk("/path/on/your/disk")
```

The saved dataset can later be retrieved using:
```python
>>> loaded_dataset = datasets.Dataset.load_from_disk("/path/on/your/disk")
```

Also, I'd recommend posting your question directly in the issue section of the [elasticsearch repo](https://github.com/elastic/elasticsearch)
Hi there,

First of all, thank you very much for this amazing library. Datasets have become my preferred data structure for basically everything I am currently doing.

**Question:** I'm working with a dataset and I have an elasticsearch container running at localhost:9200. I added an elasticsearch index and I was wondering

- how can I know where it has been saved?

- how can I share the indexed dataset with others?

I tried to dig into the docs, but could not find anything about that.

Thank you very much for your help.

Best,
Pietro

Edit: apologies for the wrong label
❓ Sharing ElasticSearch indexed dataset  
 Hi there,

First of all, thank you very much for this amazing library. Datasets have become my preferred data structure for basically everything I am currently doing.

**Question:** I'm working with a dataset and I have an elasticsearch container running at localhost:9200. I added an elasticsearch index and I was wondering

- how can I know where it has been saved?

- how can I share the indexed dataset with others?

I tried to dig into the docs, but could not find anything about that.

Thank you very much for your help.

Best,
Pietro

Edit: apologies for the wrong label 
 Hello @pietrolesci , I am not sure to understand what you are trying to do here.

If you're looking for ways to save a dataset on disk, you can you the `save_to_disk` method:
```python
>>> import datasets
>>> loaded_dataset = datasets.load("dataset_name")
>>> loaded_dataset.save_to_disk("/path/on/your/disk")
```

The saved dataset can later be retrieved using:
```python
>>> loaded_dataset = datasets.Dataset.load_from_disk("/path/on/your/disk")
```

Also, I'd recommend posting your question directly in the issue section of the [elasticsearch repo](https://github.com/elastic/elasticsearch)