code: def observed_data_to_xarray(self):
          
          data = self.observed_data
          if not isinstance(data, dict):
              raise TypeError("DictConverter.observed_data is not a dictionary")
          if self.dims is None:
              dims = {}
          else:
              dims = self.dims
          observed_data = dict()
          for key, vals in data.items():
              vals = np.atleast_1d(vals)
              val_dims = dims.get(key)
              val_dims, coords = generate_dims_coords(
                  vals.shape, key, dims=val_dims, coords=self.coords
              )
              observed_data[key] = xr.DataArray(vals, dims=val_dims, coords=coords)
          return xr.Dataset(data_vars=observed_data, attrs=make_attrs(library=None))
docs: Convert observed_data to xarray.