MemoryError while creating dataset from generator

### Describe the bug

# TL:DR

`Dataset.from_generator` function passes all of its arguments to `BuilderConfig.create_config_id`, including `generator` function itself. `BuilderConfig.create_config_id` function tries to hash all the args, which can take a large amount of time or even cause MemoryError if the dataset processed in a generator function is large enough.

Maybe we should pop `generator` from `config_kwargs_to_add_to_suffix` before hashing to avoid it.

# Full description

I have a pretty large spatial imagery dataset that is generated from two xbatcher.BatchGenerators via custom `dataset_generator` function that looks like this if simplified:
```
def dataset_generator():
    for index in samples:
        data_dict = {
            "key": index,
            "x": x_batches[index].data,
            "y":  y_batches[index].data,
        }
        yield data_dict
```
Then I use `datasets.Dataset.from_generator` to generate the dataset itself.
```
# Create dataset
ds = datasets.Dataset.from_generator(
    dataset_generator,
    features=feat,
    cache_dir=(output / ".cache"),
)
```

It works nicely with pretty small data, but if the dataset is huge and barely fits in memory, it crashes with memory error:
<details>
<summary>Full stack trace</summary>

```
File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\remote_sensing_processor\segmentation\semantic\tiles.py:248](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/remote_sensing_processor/segmentation/semantic/tiles.py#line=247), in generate_tiles(x, y, output, tile_size, shuffle, split, x_dtype, y_dtype, x_nodata, y_nodata)
    245         yield data_dict
    247 # Create dataset
--> 248 ds = datasets.Dataset.from_generator(
    249     dataset_generator,
    250     features=feat,
    251     cache_dir=(output / ".cache"),
    252 )
    254 # Save dataset
    255 ds.save_to_disk(output / name)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\arrow_dataset.py:1105](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/arrow_dataset.py#line=1104), in Dataset.from_generator(generator, features, cache_dir, keep_in_memory, gen_kwargs, num_proc, split, **kwargs)
   1052 """Create a Dataset from a generator.
   1053 
   1054 Args:
   (...)   1101 ```
   1102 """
   1103 from .io.generator import GeneratorDatasetInputStream
-> 1105 return GeneratorDatasetInputStream(
   1106     generator=generator,
   1107     features=features,
   1108     cache_dir=cache_dir,
   1109     keep_in_memory=keep_in_memory,
   1110     gen_kwargs=gen_kwargs,
   1111     num_proc=num_proc,
   1112     split=split,
   1113     **kwargs,
   1114 ).read()

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\io\generator.py:29](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/io/generator.py#line=28), in GeneratorDatasetInputStream.__init__(self, generator, features, cache_dir, keep_in_memory, streaming, gen_kwargs, num_proc, split, **kwargs)
      9 def __init__(
     10     self,
     11     generator: Callable,
   (...)     19     **kwargs,
     20 ):
     21     super().__init__(
     22         features=features,
     23         cache_dir=cache_dir,
   (...)     27         **kwargs,
     28     )
---> 29     self.builder = Generator(
     30         cache_dir=cache_dir,
     31         features=features,
     32         generator=generator,
     33         gen_kwargs=gen_kwargs,
     34         split=split,
     35         **kwargs,
     36     )

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\builder.py:343](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/builder.py#line=342), in DatasetBuilder.__init__(self, cache_dir, dataset_name, config_name, hash, base_path, info, features, token, repo_id, data_files, data_dir, storage_options, writer_batch_size, **config_kwargs)
    341     config_kwargs["data_dir"] = data_dir
    342 self.config_kwargs = config_kwargs
--> 343 self.config, self.config_id = self._create_builder_config(
    344     config_name=config_name,
    345     custom_features=features,
    346     **config_kwargs,
    347 )
    349 # prepare info: DatasetInfo are a standardized dataclass across all datasets
    350 # Prefill datasetinfo
    351 if info is None:
    352     # TODO FOR PACKAGED MODULES IT IMPORTS DATA FROM src/packaged_modules which doesn't make sense

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\builder.py:604](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/builder.py#line=603), in DatasetBuilder._create_builder_config(self, config_name, custom_features, **config_kwargs)
    598 builder_config._resolve_data_files(
    599     base_path=self.base_path,
    600     download_config=DownloadConfig(token=self.token, storage_options=self.storage_options),
    601 )
    603 # compute the config id that is going to be used for caching
--> 604 config_id = builder_config.create_config_id(
    605     config_kwargs,
    606     custom_features=custom_features,
    607 )
    608 is_custom = (config_id not in self.builder_configs) and config_id != "default"
    609 if is_custom:

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\builder.py:187](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/builder.py#line=186), in BuilderConfig.create_config_id(self, config_kwargs, custom_features)
    185             suffix = Hasher.hash(config_kwargs_to_add_to_suffix)
    186     else:
--> 187         suffix = Hasher.hash(config_kwargs_to_add_to_suffix)
    189 if custom_features is not None:
    190     m = Hasher()

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\fingerprint.py:188](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/fingerprint.py#line=187), in Hasher.hash(cls, value)
    186 @classmethod
    187 def hash(cls, value: Any) -> str:
--> 188     return cls.hash_bytes(dumps(value))

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:109](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=108), in dumps(obj)
    107 """Pickle an object to a string."""
    108 file = BytesIO()
--> 109 dump(obj, file)
    110 return file.getvalue()

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:103](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=102), in dump(obj, file)
    101 def dump(obj, file):
    102     """Pickle an object to a file."""
--> 103     Pickler(file, recurse=True).dump(obj)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:420](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=419), in Pickler.dump(self, obj)
    418 def dump(self, obj): #NOTE: if settings change, need to update attributes
    419     logger.trace_setup(self)
--> 420     StockPickler.dump(self, obj)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:484](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=483), in _Pickler.dump(self, obj)
    482 if self.proto >= 4:
    483     self.framer.start_framing()
--> 484 self.save(obj)
    485 self.write(STOP)
    486 self.framer.end_framing()

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:558](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=557), in _Pickler.save(self, obj, save_persistent_id)
    556 f = self.dispatch.get(t)
    557 if f is not None:
--> 558     f(self, obj)  # Call unbound method with explicit self
    559     return
    561 # Check private dispatch table if any, or else
    562 # copyreg.dispatch_table

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:1217](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=1216), in save_module_dict(pickler, obj)
   1214     if is_dill(pickler, child=False) and pickler._session:
   1215         # we only care about session the first pass thru
   1216         pickler._first_pass = False
-> 1217     StockPickler.save_dict(pickler, obj)
   1218     logger.trace(pickler, "# D2")
   1219 return

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:990](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=989), in _Pickler.save_dict(self, obj)
    987     self.write(MARK + DICT)
    989 self.memoize(obj)
--> 990 self._batch_setitems(obj.items())

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:83](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=82), in Pickler._batch_setitems(self, items)
     80     from datasets.fingerprint import Hasher
     82     items = sorted(items, key=lambda x: Hasher.hash(x[0]))
---> 83 dill.Pickler._batch_setitems(self, items)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:1014](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=1013), in _Pickler._batch_setitems(self, items)
   1012     for k, v in tmp:
   1013         save(k)
-> 1014         save(v)
   1015     write(SETITEMS)
   1016 elif n:

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:558](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=557), in _Pickler.save(self, obj, save_persistent_id)
    556 f = self.dispatch.get(t)
    557 if f is not None:
--> 558     f(self, obj)  # Call unbound method with explicit self
    559     return
    561 # Check private dispatch table if any, or else
    562 # copyreg.dispatch_table

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:1985](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=1984), in save_function(pickler, obj)
   1982 if state_dict:
   1983     state = state, state_dict
-> 1985 _save_with_postproc(pickler, (_create_function, (
   1986         obj.__code__, globs, obj.__name__, obj.__defaults__,
   1987         closure
   1988 ), state), obj=obj, postproc_list=postproc_list)
   1990 # Lift closure cell update to earliest function (#458)
   1991 if _postproc:

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:1117](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=1116), in _save_with_postproc(pickler, reduction, is_pickler_dill, obj, postproc_list)
   1115         continue
   1116 else:
-> 1117     pickler.save_reduce(*reduction)
   1118 # pop None created by calling preprocessing step off stack
   1119 pickler.write(POP)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:690](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=689), in _Pickler.save_reduce(self, func, args, state, listitems, dictitems, state_setter, obj)
    688 else:
    689     save(func)
--> 690     save(args)
    691     write(REDUCE)
    693 if obj is not None:
    694     # If the object is already in the memo, this means it is
    695     # recursive. In this case, throw away everything we put on the
    696     # stack, and fetch the object back from the memo.

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:558](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=557), in _Pickler.save(self, obj, save_persistent_id)
    556 f = self.dispatch.get(t)
    557 if f is not None:
--> 558     f(self, obj)  # Call unbound method with explicit self
    559     return
    561 # Check private dispatch table if any, or else
    562 # copyreg.dispatch_table

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:905](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=904), in _Pickler.save_tuple(self, obj)
    903 if n <= 3 and self.proto >= 2:
    904     for element in obj:
--> 905         save(element)
    906     # Subtle.  Same as in the big comment below.
    907     if id(obj) in memo:

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:601](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=600), in _Pickler.save(self, obj, save_persistent_id)
    597     raise PicklingError("Tuple returned by %s must have "
    598                         "two to six elements" % reduce)
    600 # Save the reduce() output and finally memoize the object
--> 601 self.save_reduce(obj=obj, *rv)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:715](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=714), in _Pickler.save_reduce(self, func, args, state, listitems, dictitems, state_setter, obj)
    713 if state is not None:
    714     if state_setter is None:
--> 715         save(state)
    716         write(BUILD)
    717     else:
    718         # If a state_setter is specified, call it instead of load_build
    719         # to update obj's with its previous state.
    720         # First, push state_setter and its tuple of expected arguments
    721         # (obj, state) onto the stack.

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:558](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=557), in _Pickler.save(self, obj, save_persistent_id)
    556 f = self.dispatch.get(t)
    557 if f is not None:
--> 558     f(self, obj)  # Call unbound method with explicit self
    559     return
    561 # Check private dispatch table if any, or else
    562 # copyreg.dispatch_table

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:1217](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=1216), in save_module_dict(pickler, obj)
   1214     if is_dill(pickler, child=False) and pickler._session:
   1215         # we only care about session the first pass thru
   1216         pickler._first_pass = False
-> 1217     StockPickler.save_dict(pickler, obj)
   1218     logger.trace(pickler, "# D2")
   1219 return

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:990](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=989), in _Pickler.save_dict(self, obj)
    987     self.write(MARK + DICT)
    989 self.memoize(obj)
--> 990 self._batch_setitems(obj.items())

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:83](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=82), in Pickler._batch_setitems(self, items)
     80     from datasets.fingerprint import Hasher
     82     items = sorted(items, key=lambda x: Hasher.hash(x[0]))
---> 83 dill.Pickler._batch_setitems(self, items)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:1014](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=1013), in _Pickler._batch_setitems(self, items)
   1012     for k, v in tmp:
   1013         save(k)
-> 1014         save(v)
   1015     write(SETITEMS)
   1016 elif n:

    [... skipping similar frames: Pickler.save at line 70 (1 times), Pickler.save at line 414 (1 times)]

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:601](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=600), in _Pickler.save(self, obj, save_persistent_id)
    597     raise PicklingError("Tuple returned by %s must have "
    598                         "two to six elements" % reduce)
    600 # Save the reduce() output and finally memoize the object
--> 601 self.save_reduce(obj=obj, *rv)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:715](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=714), in _Pickler.save_reduce(self, func, args, state, listitems, dictitems, state_setter, obj)
    713 if state is not None:
    714     if state_setter is None:
--> 715         save(state)
    716         write(BUILD)
    717     else:
    718         # If a state_setter is specified, call it instead of load_build
    719         # to update obj's with its previous state.
    720         # First, push state_setter and its tuple of expected arguments
    721         # (obj, state) onto the stack.

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:558](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=557), in _Pickler.save(self, obj, save_persistent_id)
    556 f = self.dispatch.get(t)
    557 if f is not None:
--> 558     f(self, obj)  # Call unbound method with explicit self
    559     return
    561 # Check private dispatch table if any, or else
    562 # copyreg.dispatch_table

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:905](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=904), in _Pickler.save_tuple(self, obj)
    903 if n <= 3 and self.proto >= 2:
    904     for element in obj:
--> 905         save(element)
    906     # Subtle.  Same as in the big comment below.
    907     if id(obj) in memo:

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:558](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=557), in _Pickler.save(self, obj, save_persistent_id)
    556 f = self.dispatch.get(t)
    557 if f is not None:
--> 558     f(self, obj)  # Call unbound method with explicit self
    559     return
    561 # Check private dispatch table if any, or else
    562 # copyreg.dispatch_table

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:1217](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=1216), in save_module_dict(pickler, obj)
   1214     if is_dill(pickler, child=False) and pickler._session:
   1215         # we only care about session the first pass thru
   1216         pickler._first_pass = False
-> 1217     StockPickler.save_dict(pickler, obj)
   1218     logger.trace(pickler, "# D2")
   1219 return

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:990](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=989), in _Pickler.save_dict(self, obj)
    987     self.write(MARK + DICT)
    989 self.memoize(obj)
--> 990 self._batch_setitems(obj.items())

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:83](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=82), in Pickler._batch_setitems(self, items)
     80     from datasets.fingerprint import Hasher
     82     items = sorted(items, key=lambda x: Hasher.hash(x[0]))
---> 83 dill.Pickler._batch_setitems(self, items)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:1014](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=1013), in _Pickler._batch_setitems(self, items)
   1012     for k, v in tmp:
   1013         save(k)
-> 1014         save(v)
   1015     write(SETITEMS)
   1016 elif n:

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:601](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=600), in _Pickler.save(self, obj, save_persistent_id)
    597     raise PicklingError("Tuple returned by %s must have "
    598                         "two to six elements" % reduce)
    600 # Save the reduce() output and finally memoize the object
--> 601 self.save_reduce(obj=obj, *rv)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:715](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=714), in _Pickler.save_reduce(self, func, args, state, listitems, dictitems, state_setter, obj)
    713 if state is not None:
    714     if state_setter is None:
--> 715         save(state)
    716         write(BUILD)
    717     else:
    718         # If a state_setter is specified, call it instead of load_build
    719         # to update obj's with its previous state.
    720         # First, push state_setter and its tuple of expected arguments
    721         # (obj, state) onto the stack.

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:558](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=557), in _Pickler.save(self, obj, save_persistent_id)
    556 f = self.dispatch.get(t)
    557 if f is not None:
--> 558     f(self, obj)  # Call unbound method with explicit self
    559     return
    561 # Check private dispatch table if any, or else
    562 # copyreg.dispatch_table

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:905](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=904), in _Pickler.save_tuple(self, obj)
    903 if n <= 3 and self.proto >= 2:
    904     for element in obj:
--> 905         save(element)
    906     # Subtle.  Same as in the big comment below.
    907     if id(obj) in memo:

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:558](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=557), in _Pickler.save(self, obj, save_persistent_id)
    556 f = self.dispatch.get(t)
    557 if f is not None:
--> 558     f(self, obj)  # Call unbound method with explicit self
    559     return
    561 # Check private dispatch table if any, or else
    562 # copyreg.dispatch_table

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:1217](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=1216), in save_module_dict(pickler, obj)
   1214     if is_dill(pickler, child=False) and pickler._session:
   1215         # we only care about session the first pass thru
   1216         pickler._first_pass = False
-> 1217     StockPickler.save_dict(pickler, obj)
   1218     logger.trace(pickler, "# D2")
   1219 return

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:990](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=989), in _Pickler.save_dict(self, obj)
    987     self.write(MARK + DICT)
    989 self.memoize(obj)
--> 990 self._batch_setitems(obj.items())

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:83](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=82), in Pickler._batch_setitems(self, items)
     80     from datasets.fingerprint import Hasher
     82     items = sorted(items, key=lambda x: Hasher.hash(x[0]))
---> 83 dill.Pickler._batch_setitems(self, items)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:1014](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=1013), in _Pickler._batch_setitems(self, items)
   1012     for k, v in tmp:
   1013         save(k)
-> 1014         save(v)
   1015     write(SETITEMS)
   1016 elif n:

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:601](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=600), in _Pickler.save(self, obj, save_persistent_id)
    597     raise PicklingError("Tuple returned by %s must have "
    598                         "two to six elements" % reduce)
    600 # Save the reduce() output and finally memoize the object
--> 601 self.save_reduce(obj=obj, *rv)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:690](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=689), in _Pickler.save_reduce(self, func, args, state, listitems, dictitems, state_setter, obj)
    688 else:
    689     save(func)
--> 690     save(args)
    691     write(REDUCE)
    693 if obj is not None:
    694     # If the object is already in the memo, this means it is
    695     # recursive. In this case, throw away everything we put on the
    696     # stack, and fetch the object back from the memo.

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:558](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=557), in _Pickler.save(self, obj, save_persistent_id)
    556 f = self.dispatch.get(t)
    557 if f is not None:
--> 558     f(self, obj)  # Call unbound method with explicit self
    559     return
    561 # Check private dispatch table if any, or else
    562 # copyreg.dispatch_table

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:920](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=919), in _Pickler.save_tuple(self, obj)
    918 write(MARK)
    919 for element in obj:
--> 920     save(element)
    922 if id(obj) in memo:
    923     # Subtle.  d was not in memo when we entered save_tuple(), so
    924     # the process of saving the tuple's elements must have saved
   (...)    928     # could have been done in the "for element" loop instead, but
    929     # recursive tuples are a rare thing.
    930     get = self.get(memo[id(obj)][0])

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:601](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=600), in _Pickler.save(self, obj, save_persistent_id)
    597     raise PicklingError("Tuple returned by %s must have "
    598                         "two to six elements" % reduce)
    600 # Save the reduce() output and finally memoize the object
--> 601 self.save_reduce(obj=obj, *rv)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:715](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=714), in _Pickler.save_reduce(self, func, args, state, listitems, dictitems, state_setter, obj)
    713 if state is not None:
    714     if state_setter is None:
--> 715         save(state)
    716         write(BUILD)
    717     else:
    718         # If a state_setter is specified, call it instead of load_build
    719         # to update obj's with its previous state.
    720         # First, push state_setter and its tuple of expected arguments
    721         # (obj, state) onto the stack.

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:558](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=557), in _Pickler.save(self, obj, save_persistent_id)
    556 f = self.dispatch.get(t)
    557 if f is not None:
--> 558     f(self, obj)  # Call unbound method with explicit self
    559     return
    561 # Check private dispatch table if any, or else
    562 # copyreg.dispatch_table

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:1217](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=1216), in save_module_dict(pickler, obj)
   1214     if is_dill(pickler, child=False) and pickler._session:
   1215         # we only care about session the first pass thru
   1216         pickler._first_pass = False
-> 1217     StockPickler.save_dict(pickler, obj)
   1218     logger.trace(pickler, "# D2")
   1219 return

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:990](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=989), in _Pickler.save_dict(self, obj)
    987     self.write(MARK + DICT)
    989 self.memoize(obj)
--> 990 self._batch_setitems(obj.items())

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:83](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=82), in Pickler._batch_setitems(self, items)
     80     from datasets.fingerprint import Hasher
     82     items = sorted(items, key=lambda x: Hasher.hash(x[0]))
---> 83 dill.Pickler._batch_setitems(self, items)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:1014](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=1013), in _Pickler._batch_setitems(self, items)
   1012     for k, v in tmp:
   1013         save(k)
-> 1014         save(v)
   1015     write(SETITEMS)
   1016 elif n:

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:558](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=557), in _Pickler.save(self, obj, save_persistent_id)
    556 f = self.dispatch.get(t)
    557 if f is not None:
--> 558     f(self, obj)  # Call unbound method with explicit self
    559     return
    561 # Check private dispatch table if any, or else
    562 # copyreg.dispatch_table

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:1217](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=1216), in save_module_dict(pickler, obj)
   1214     if is_dill(pickler, child=False) and pickler._session:
   1215         # we only care about session the first pass thru
   1216         pickler._first_pass = False
-> 1217     StockPickler.save_dict(pickler, obj)
   1218     logger.trace(pickler, "# D2")
   1219 return

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:990](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=989), in _Pickler.save_dict(self, obj)
    987     self.write(MARK + DICT)
    989 self.memoize(obj)
--> 990 self._batch_setitems(obj.items())

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:83](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=82), in Pickler._batch_setitems(self, items)
     80     from datasets.fingerprint import Hasher
     82     items = sorted(items, key=lambda x: Hasher.hash(x[0]))
---> 83 dill.Pickler._batch_setitems(self, items)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:1019](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=1018), in _Pickler._batch_setitems(self, items)
   1017     k, v = tmp[0]
   1018     save(k)
-> 1019     save(v)
   1020     write(SETITEM)
   1021 # else tmp is empty, and we're done

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:601](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=600), in _Pickler.save(self, obj, save_persistent_id)
    597     raise PicklingError("Tuple returned by %s must have "
    598                         "two to six elements" % reduce)
    600 # Save the reduce() output and finally memoize the object
--> 601 self.save_reduce(obj=obj, *rv)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:715](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=714), in _Pickler.save_reduce(self, func, args, state, listitems, dictitems, state_setter, obj)
    713 if state is not None:
    714     if state_setter is None:
--> 715         save(state)
    716         write(BUILD)
    717     else:
    718         # If a state_setter is specified, call it instead of load_build
    719         # to update obj's with its previous state.
    720         # First, push state_setter and its tuple of expected arguments
    721         # (obj, state) onto the stack.

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:558](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=557), in _Pickler.save(self, obj, save_persistent_id)
    556 f = self.dispatch.get(t)
    557 if f is not None:
--> 558     f(self, obj)  # Call unbound method with explicit self
    559     return
    561 # Check private dispatch table if any, or else
    562 # copyreg.dispatch_table

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:1217](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=1216), in save_module_dict(pickler, obj)
   1214     if is_dill(pickler, child=False) and pickler._session:
   1215         # we only care about session the first pass thru
   1216         pickler._first_pass = False
-> 1217     StockPickler.save_dict(pickler, obj)
   1218     logger.trace(pickler, "# D2")
   1219 return

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:990](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=989), in _Pickler.save_dict(self, obj)
    987     self.write(MARK + DICT)
    989 self.memoize(obj)
--> 990 self._batch_setitems(obj.items())

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:83](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=82), in Pickler._batch_setitems(self, items)
     80     from datasets.fingerprint import Hasher
     82     items = sorted(items, key=lambda x: Hasher.hash(x[0]))
---> 83 dill.Pickler._batch_setitems(self, items)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:1014](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=1013), in _Pickler._batch_setitems(self, items)
   1012     for k, v in tmp:
   1013         save(k)
-> 1014         save(v)
   1015     write(SETITEMS)
   1016 elif n:

    [... skipping similar frames: Pickler.save at line 70 (1 times), Pickler.save at line 414 (1 times)]

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:558](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=557), in _Pickler.save(self, obj, save_persistent_id)
    556 f = self.dispatch.get(t)
    557 if f is not None:
--> 558     f(self, obj)  # Call unbound method with explicit self
    559     return
    561 # Check private dispatch table if any, or else
    562 # copyreg.dispatch_table

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:1217](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=1216), in save_module_dict(pickler, obj)
   1214     if is_dill(pickler, child=False) and pickler._session:
   1215         # we only care about session the first pass thru
   1216         pickler._first_pass = False
-> 1217     StockPickler.save_dict(pickler, obj)
   1218     logger.trace(pickler, "# D2")
   1219 return

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:990](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=989), in _Pickler.save_dict(self, obj)
    987     self.write(MARK + DICT)
    989 self.memoize(obj)
--> 990 self._batch_setitems(obj.items())

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:83](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=82), in Pickler._batch_setitems(self, items)
     80     from datasets.fingerprint import Hasher
     82     items = sorted(items, key=lambda x: Hasher.hash(x[0]))
---> 83 dill.Pickler._batch_setitems(self, items)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:1014](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=1013), in _Pickler._batch_setitems(self, items)
   1012     for k, v in tmp:
   1013         save(k)
-> 1014         save(v)
   1015     write(SETITEMS)
   1016 elif n:

    [... skipping similar frames: Pickler.save at line 70 (1 times), Pickler.save at line 414 (1 times)]

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:601](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=600), in _Pickler.save(self, obj, save_persistent_id)
    597     raise PicklingError("Tuple returned by %s must have "
    598                         "two to six elements" % reduce)
    600 # Save the reduce() output and finally memoize the object
--> 601 self.save_reduce(obj=obj, *rv)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:715](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=714), in _Pickler.save_reduce(self, func, args, state, listitems, dictitems, state_setter, obj)
    713 if state is not None:
    714     if state_setter is None:
--> 715         save(state)
    716         write(BUILD)
    717     else:
    718         # If a state_setter is specified, call it instead of load_build
    719         # to update obj's with its previous state.
    720         # First, push state_setter and its tuple of expected arguments
    721         # (obj, state) onto the stack.

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:558](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=557), in _Pickler.save(self, obj, save_persistent_id)
    556 f = self.dispatch.get(t)
    557 if f is not None:
--> 558     f(self, obj)  # Call unbound method with explicit self
    559     return
    561 # Check private dispatch table if any, or else
    562 # copyreg.dispatch_table

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:920](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=919), in _Pickler.save_tuple(self, obj)
    918 write(MARK)
    919 for element in obj:
--> 920     save(element)
    922 if id(obj) in memo:
    923     # Subtle.  d was not in memo when we entered save_tuple(), so
    924     # the process of saving the tuple's elements must have saved
   (...)    928     # could have been done in the "for element" loop instead, but
    929     # recursive tuples are a rare thing.
    930     get = self.get(memo[id(obj)][0])

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\datasets\utils\_dill.py:70](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/datasets/utils/_dill.py#line=69), in Pickler.save(self, obj, save_persistent_id)
     68 if obj_type is FunctionType:
     69     obj = getattr(obj, "_torchdynamo_orig_callable", obj)
---> 70 dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\site-packages\dill\_dill.py:414](file:///C:/ProgramData/miniforge3/envs/geo/Lib/site-packages/dill/_dill.py#line=413), in Pickler.save(self, obj, save_persistent_id)
    412     msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType
    413     raise PicklingError(msg)
--> 414 StockPickler.save(self, obj, save_persistent_id)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:558](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=557), in _Pickler.save(self, obj, save_persistent_id)
    556 f = self.dispatch.get(t)
    557 if f is not None:
--> 558     f(self, obj)  # Call unbound method with explicit self
    559     return
    561 # Check private dispatch table if any, or else
    562 # copyreg.dispatch_table

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:809](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=808), in _Pickler.save_bytes(self, obj)
    806         self.save_reduce(codecs.encode,
    807                          (str(obj, 'latin1'), 'latin1'), obj=obj)
    808     return
--> 809 self._save_bytes_no_memo(obj)
    810 self.memoize(obj)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:797](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=796), in _Pickler._save_bytes_no_memo(self, obj)
    795     self._write_large_bytes(BINBYTES8 + pack("<Q", n), obj)
    796 elif n >= self.framer._FRAME_SIZE_TARGET:
--> 797     self._write_large_bytes(BINBYTES + pack("<I", n), obj)
    798 else:
    799     self.write(BINBYTES + pack("<I", n) + obj)

File [C:\ProgramData\miniforge3\envs\geo\Lib\pickle.py:254](file:///C:/ProgramData/miniforge3/envs/geo/Lib/pickle.py#line=253), in _Framer.write_large_bytes(self, header, payload)
    247 # Perform direct write of the header and payload of the large binary
    248 # object. Be careful not to concatenate the header and the payload
    249 # prior to calling 'write' as we do not want to allocate a large
    250 # temporary bytes object.
    251 # We intentionally do not insert a protocol 4 frame opcode to make
    252 # it possible to optimize file.read calls in the loader.
    253 write(header)
--> 254 write(payload)

MemoryError:

```

</details>

Memory error is an expected type of error in such case, but when I started digging down, I found out that it occurs in a kinda unexpected place - in `create_config_id` function. It tries to hash `config_kwargs_to_add_to_suffix`, including generator function itself. 

I modified the `BuilderConfig.create_config_id` code like this to check which values are hashed and how much time it takes to hash them and ran it on a toy dataset:
```
print(config_kwargs_to_add_to_suffix)
start_time = time.time()

if all(isinstance(v, (str, bool, int, float)) for v in config_kwargs_to_add_to_suffix.values()):
    suffix = ",".join(
        str(k) + "=" + urllib.parse.quote_plus(str(v)) for k, v in config_kwargs_to_add_to_suffix.items()
    )
    if len(suffix) > 32:  # hash if too long
        suffix = Hasher.hash(config_kwargs_to_add_to_suffix)
else:
    suffix = Hasher.hash(config_kwargs_to_add_to_suffix)
end_time = time.time()

print(f"Execution time: {end_time - start_time:.4f} seconds")
print(suffix)
```

In my case the content of `config_kwargs_to_add_to_suffix` was like this:
```
{'features': {'key': Value(dtype='int64', id=None), 'x': Array3D(shape=(44, 128, 128), dtype='float32', id=None), 'y_class': Array2D(shape=(128, 128), dtype='int32', id=None)}, 'gen_kwargs': None, 'generator': <function generate_tiles.<locals>.dataset_generator at 0x00000139D10D7920>, 'split': NamedSplit('train')}
```

Also I noticed that hashing took a significant amount of time - 43.1482 seconds, while the overall function execution (with data loading, batching and saving dataset) took 2min 45s. The output of `create_config_id` is just a dataset id, so, it is inappropirately large amount of time.

But when I added `config_kwargs_to_add_to_suffix.pop("generator", None)`, the hashing took only 0.0060 seconds.

Maybe we shouldn't hash the generator function, as it can be really computationally and memory expensive.



### Steps to reproduce the bug

This is a simplified example of a workflow I used to generate dataset. But I think that you can use almost any workflow to reproduce that bug.

```
import pystac
import pystac_client
import planetary_computer

import numpy as np
import xarray as xr
import rioxarray as rxr
import dask
import xbatcher

import datasets


# Loading a dataset, in our case - single Landsat image
catalog = pystac_client.Client.open(
    "https://planetarycomputer.microsoft.com/api/stac/v1",
    modifier=planetary_computer.sign_inplace,
)
brazil = [-60.2, -3.31]
time_of_interest = "2021-06-01/2021-08-31"
search = catalog.search(collections=["landsat-c2-l2"], intersects={"type": "Point", "coordinates": brazil}, datetime=time_of_interest)
items = search.item_collection()
item = min(items, key=lambda item: pystac.extensions.eo.EOExtension.ext(item).cloud_cover)

# Getting x data
bands = []
for band in ["red", "green", "blue", "nir08", "coastal", "swir16", "swir22", "lwir11"]:
    with rxr.open_rasterio(item.assets[band].href, chunks=True, lock=True) as raster:
        raster = raster.to_dataset('band')
        #print(raster)
        raster = raster.rename({1: band})
        bands.append(raster)
x = xr.merge(bands).squeeze().to_array("band").persist()

# Getting y data
with rxr.open_rasterio(item.assets['qa_pixel'].href, chunks=True, lock=True) as raster:
    y = raster.squeeze().persist()

# Setting up batches generators
x_batches = xbatcher.BatchGenerator(ds=x, input_dims={"x": 256, "y": 256})
y_batches = xbatcher.BatchGenerator(ds=y, input_dims={"x": 256, "y": 256})

# Filtering samples that contain only nodata
samples = list(range(len(x_batches)))
samples_filtered = []
for i in samples:
    if not np.array_equal(np.unique(x_batches[i]), np.array([0.])) and not np.array_equal(np.unique(y_batches[i]), np.array([0])):
        samples_filtered.append(i)
samples = samples_filtered
np.random.shuffle(samples)

# Setting up features
feat = {
    "key": datasets.Value(dtype="int64"), 
    "x": datasets.Array3D(dtype="float32", shape=(4, 256, 256)),
    "y": datasets.Array2D(dtype="int32", shape=(256, 256))
}
feat = datasets.Features(feat)

# Setting up a generator
def dataset_generator():
    for index in samples:
        data_dict = {
            "key": index,
            "x": x_batches[index].data,
            "y": y_batches[index].data,
        }
        yield data_dict

# Create dataset
ds = datasets.Dataset.from_generator(
    dataset_generator,
    features=feat,
    cache_dir="temp/cache",
)
```
Please, try adding `config_kwargs_to_add_to_suffix.pop("generator", None)` to `BuilderConfig.create_config_id` and then measuring how much time it takes to run 
``` 
if all(isinstance(v, (str, bool, int, float)) for v in config_kwargs_to_add_to_suffix.values()):
    suffix = ",".join(
        str(k) + "=" + urllib.parse.quote_plus(str(v)) for k, v in config_kwargs_to_add_to_suffix.items()
    )
    if len(suffix) > 32:  # hash if too long
        suffix = Hasher.hash(config_kwargs_to_add_to_suffix)
else:
    suffix = Hasher.hash(config_kwargs_to_add_to_suffix)
```
code block with and without `config_kwargs_to_add_to_suffix.pop("generator", None)`

In my case the difference was 3.3828 seconds without popping generator function and 0.0010 seconds with popping.

### Expected behavior

Much faster hashing and no MemoryErrors

### Environment info

- `datasets` version: 3.5.0
- Platform: Windows-11-10.0.26100-SP0
- Python version: 3.12.9
- `huggingface_hub` version: 0.30.1
- PyArrow version: 17.0.0
- Pandas version: 2.2.2
- `fsspec` version: 2024.12.0

Comments:
Upd: created a PR that can probably solve the problem: #7514

Hi ! We need to take the generator into account for the cache. The generator is hashed to make the dataset fingerprint used by the cache. This way you can reload the Dataset from the cache without regenerating in subsequent `from_generator` calls.

Maybe instead of removing generator from the hasher input, we can let users pass their own Dataset fingerprint to `from_generator`, and if it's specified we don't need to hash anything

Upd: I successfully generated a dataset from my large geospatial data with `generator` excluded from hashing and saved it to disk without running into memory errors. So, it looks like there are no other bottlenecks in dataset generation in my case

Maybe letting users pass their own fingerprint to skip hashing can be a great solution to that issue!

@lhoestq I tried to implement user-defined dataset fingerprint in #7533 . Am I doing it right?