Issue to read a local dataset
Good plan!

Yes I do use `builder_kwargs` for other things such as:
- dataset name
- properties to know how to properly read a CSV file: do I have to skip the first line in a CSV, which delimiter is used, and the columns ids to use.
- properties to know how to properly read a JSON file: which properties in a JSON object to read
Hello,

As proposed by @thomwolf, I open an issue to explain what I'm trying to do without success. What I want to do is to create and load a local dataset, the script I have done is the following:
```python
import os
import csv

import nlp


class BbcConfig(nlp.BuilderConfig):
    def __init__(self, **kwargs):
        super(BbcConfig, self).__init__(**kwargs)


class Bbc(nlp.GeneratorBasedBuilder):
    _DIR = "./data"
    _DEV_FILE = "test.csv"
    _TRAINING_FILE = "train.csv"

    BUILDER_CONFIGS = [BbcConfig(name="bbc", version=nlp.Version("1.0.0"))]

    def _info(self):
        return nlp.DatasetInfo(builder=self, features=nlp.features.FeaturesDict({"id": nlp.string, "text": nlp.string, "label": nlp.string}))

    def _split_generators(self, dl_manager):
        files = {"train": os.path.join(self._DIR, self._TRAINING_FILE), "dev": os.path.join(self._DIR, self._DEV_FILE)}

        return [nlp.SplitGenerator(name=nlp.Split.TRAIN, gen_kwargs={"filepath": files["train"]}),
                nlp.SplitGenerator(name=nlp.Split.VALIDATION, gen_kwargs={"filepath": files["dev"]})]

    def _generate_examples(self, filepath):
        with open(filepath) as f:
            reader = csv.reader(f, delimiter=',', quotechar="\"")
            lines = list(reader)[1:]

            for idx, line in enumerate(lines):
                yield idx, {"idx": idx, "text": line[1], "label": line[0]}

```

The dataset is attached to this issue as well:
[data.zip](https://github.com/huggingface/datasets/files/4476928/data.zip)

Now the steps to reproduce what I would like to do:
1. unzip data locally (I know the nlp lib can detect and extract archives but I want to reduce and facilitate the reproduction as much as possible)
2. create the `bbc.py` script as above at the same location than the unziped `data` folder.

Now I try to load the dataset in three different ways and none works, the first one with the name of the dataset like I would do with TFDS:
```python
import nlp
from bbc import Bbc
dataset = nlp.load("bbc")
```

I get:
```
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/opt/anaconda3/envs/transformers/lib/python3.7/site-packages/nlp/load.py", line 280, in load
    dbuilder: DatasetBuilder = builder(path, name, data_dir=data_dir, **builder_kwargs)
  File "/opt/anaconda3/envs/transformers/lib/python3.7/site-packages/nlp/load.py", line 166, in builder
    builder_cls = load_dataset(path, name=name, **builder_kwargs)
  File "/opt/anaconda3/envs/transformers/lib/python3.7/site-packages/nlp/load.py", line 88, in load_dataset
    local_files_only=local_files_only,
  File "/opt/anaconda3/envs/transformers/lib/python3.7/site-packages/nlp/utils/file_utils.py", line 214, in cached_path
    if not is_zipfile(output_path) and not tarfile.is_tarfile(output_path):
  File "/opt/anaconda3/envs/transformers/lib/python3.7/zipfile.py", line 203, in is_zipfile
    with open(filename, "rb") as fp:
TypeError: expected str, bytes or os.PathLike object, not NoneType
```

But @thomwolf told me that no need to import the script, just put the path of it, then I tried three different way to do:
```python
import nlp
dataset = nlp.load("bbc.py")
```
And
```python
import nlp
dataset = nlp.load("./bbc.py")
```
And
```python
import nlp
dataset = nlp.load("/absolute/path/to/bbc.py")
```

These three ways gives me:
```
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/opt/anaconda3/envs/transformers/lib/python3.7/site-packages/nlp/load.py", line 280, in load
    dbuilder: DatasetBuilder = builder(path, name, data_dir=data_dir, **builder_kwargs)
  File "/opt/anaconda3/envs/transformers/lib/python3.7/site-packages/nlp/load.py", line 166, in builder
    builder_cls = load_dataset(path, name=name, **builder_kwargs)
  File "/opt/anaconda3/envs/transformers/lib/python3.7/site-packages/nlp/load.py", line 124, in load_dataset
    dataset_module = importlib.import_module(module_path)
  File "/opt/anaconda3/envs/transformers/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 965, in _find_and_load_unlocked
ModuleNotFoundError: No module named 'nlp.datasets.2fd72627d92c328b3e9c4a3bf7ec932c48083caca09230cebe4c618da6e93688.bbc'
```
Any idea of what I'm missing? or I might have spot a bug :)
Issue to read a local dataset 
 Hello,

As proposed by @thomwolf, I open an issue to explain what I'm trying to do without success. What I want to do is to create and load a local dataset, the script I have done is the following:
```python
import os
import csv

import nlp


class BbcConfig(nlp.BuilderConfig):
    def __init__(self, **kwargs):
        super(BbcConfig, self).__init__(**kwargs)


class Bbc(nlp.GeneratorBasedBuilder):
    _DIR = "./data"
    _DEV_FILE = "test.csv"
    _TRAINING_FILE = "train.csv"

    BUILDER_CONFIGS = [BbcConfig(name="bbc", version=nlp.Version("1.0.0"))]

    def _info(self):
        return nlp.DatasetInfo(builder=self, features=nlp.features.FeaturesDict({"id": nlp.string, "text": nlp.string, "label": nlp.string}))

    def _split_generators(self, dl_manager):
        files = {"train": os.path.join(self._DIR, self._TRAINING_FILE), "dev": os.path.join(self._DIR, self._DEV_FILE)}

        return [nlp.SplitGenerator(name=nlp.Split.TRAIN, gen_kwargs={"filepath": files["train"]}),
                nlp.SplitGenerator(name=nlp.Split.VALIDATION, gen_kwargs={"filepath": files["dev"]})]

    def _generate_examples(self, filepath):
        with open(filepath) as f:
            reader = csv.reader(f, delimiter=',', quotechar="\"")
            lines = list(reader)[1:]

            for idx, line in enumerate(lines):
                yield idx, {"idx": idx, "text": line[1], "label": line[0]}

```

The dataset is attached to this issue as well:
[data.zip](https://github.com/huggingface/datasets/files/4476928/data.zip)

Now the steps to reproduce what I would like to do:
1. unzip data locally (I know the nlp lib can detect and extract archives but I want to reduce and facilitate the reproduction as much as possible)
2. create the `bbc.py` script as above at the same location than the unziped `data` folder.

Now I try to load the dataset in three different ways and none works, the first one with the name of the dataset like I would do with TFDS:
```python
import nlp
from bbc import Bbc
dataset = nlp.load("bbc")
```

I get:
```
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/opt/anaconda3/envs/transformers/lib/python3.7/site-packages/nlp/load.py", line 280, in load
    dbuilder: DatasetBuilder = builder(path, name, data_dir=data_dir, **builder_kwargs)
  File "/opt/anaconda3/envs/transformers/lib/python3.7/site-packages/nlp/load.py", line 166, in builder
    builder_cls = load_dataset(path, name=name, **builder_kwargs)
  File "/opt/anaconda3/envs/transformers/lib/python3.7/site-packages/nlp/load.py", line 88, in load_dataset
    local_files_only=local_files_only,
  File "/opt/anaconda3/envs/transformers/lib/python3.7/site-packages/nlp/utils/file_utils.py", line 214, in cached_path
    if not is_zipfile(output_path) and not tarfile.is_tarfile(output_path):
  File "/opt/anaconda3/envs/transformers/lib/python3.7/zipfile.py", line 203, in is_zipfile
    with open(filename, "rb") as fp:
TypeError: expected str, bytes or os.PathLike object, not NoneType
```

But @thomwolf told me that no need to import the script, just put the path of it, then I tried three different way to do:
```python
import nlp
dataset = nlp.load("bbc.py")
```
And
```python
import nlp
dataset = nlp.load("./bbc.py")
```
And
```python
import nlp
dataset = nlp.load("/absolute/path/to/bbc.py")
```

These three ways gives me:
```
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/opt/anaconda3/envs/transformers/lib/python3.7/site-packages/nlp/load.py", line 280, in load
    dbuilder: DatasetBuilder = builder(path, name, data_dir=data_dir, **builder_kwargs)
  File "/opt/anaconda3/envs/transformers/lib/python3.7/site-packages/nlp/load.py", line 166, in builder
    builder_cls = load_dataset(path, name=name, **builder_kwargs)
  File "/opt/anaconda3/envs/transformers/lib/python3.7/site-packages/nlp/load.py", line 124, in load_dataset
    dataset_module = importlib.import_module(module_path)
  File "/opt/anaconda3/envs/transformers/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 965, in _find_and_load_unlocked
ModuleNotFoundError: No module named 'nlp.datasets.2fd72627d92c328b3e9c4a3bf7ec932c48083caca09230cebe4c618da6e93688.bbc'
```
Any idea of what I'm missing? or I might have spot a bug :) 
 Good plan!

Yes I do use `builder_kwargs` for other things such as:
- dataset name
- properties to know how to properly read a CSV file: do I have to skip the first line in a CSV, which delimiter is used, and the columns ids to use.
- properties to know how to properly read a JSON file: which properties in a JSON object to read