Loading methods and arguments
We can extend the `dataset-loading-tags` job to also store loading arguments that we can display on dataset pages in code snippets.

For example with the info to build the code snippet like
```json
{"loader": "webdataset", "url": "pipe:curl <hf url>"}
```
This way the front end can translate it to
```python
import webdadataset as wds

url = "pipe:curl <hf url>"
ds = wds.WebDataset(url).decode()
```

For croissant it would be
```json
{"loader": "mlcroissant", "url": "<croissant url>"}
```
for
```python
import mlcroissant as mlc

url = "<croissant url>"
ds = mlc.Dataset(url)
```

I will start with WebDataset and Croissant
Loading methods and arguments: We can extend the `dataset-loading-tags` job to also store loading arguments that we can display on dataset pages in code snippets.

For example with the info to build the code snippet like
```json
{"loader": "webdataset", "url": "pipe:curl <hf url>"}
```
This way the front end can translate it to
```python
import webdadataset as wds

url = "pipe:curl <hf url>"
ds = wds.WebDataset(url).decode()
```

For croissant it would be
```json
{"loader": "mlcroissant", "url": "<croissant url>"}
```
for
```python
import mlcroissant as mlc

url = "<croissant url>"
ds = mlc.Dataset(url)
```

I will start with WebDataset and Croissant