added saudinewsnet
Hi @abdulelahsm - This is an interesting dataset! But there are multiple issues with the PR. Some of them are listed below: 
-  default builder config is not defined. There should be atleast one builder config 
- URL is incorrectly constructed so the data files are not being downloaded 
- dataset_info.json file was not created

Please have a look at some existing merged datasets to get a reference on building the data loader. If you are still stuck, reach out. 
 @skyprince999 I totally agree. Thx for the feedback! Hi @abdulelahsm ! Thanks for adding this one :) 
you don't actually have to add builder configurations if you don't need them. It's fine as it is now

And as @skyprince999 noticed, the current URLs don't work. to download files.
You can use this one for example for the first batch instead:
https://github.com/parallelfold/SaudiNewsNet/raw/master/dataset/2015-07-21.zip

Feel free to ping me if you have questions or if you're ready for a review :)  @lhoestq Hey, I tried using the first batch instead, the data was downloaded but I got this error, not sure why it can't find the path?

for content, I ran ``` "./datasets/saudinewsnet/test.py"```

which is a local test I'm running for the dataset, it contains the following code

```
from datasets import load_dataset

data = load_dataset("./datasets/saudinewsnet", split= "train")

print(data)

print(data[1])
```

this is the error I got 

```
2020-12-18 21:45:39.403908: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-12-18 21:45:39.403953: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Using custom data configuration default
Downloading and preparing dataset saudi_news_net/default (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /home/mesfas/.cache/huggingface/datasets/saudi_news_net/default/0.0.0/62ece5ef0a991415352d4b1efac681d75b5b3404064fd4f6a1d659499dab18f4...
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3.42M/3.42M [00:03<00:00, 1.03MB/s]
Traceback (most recent call last):
  File "/home/mesfas/opensource/datasets/src/datasets/builder.py", line 604, in _download_and_prepare
    self._prepare_split(split_generator, **prepare_split_kwargs)
  File "/home/mesfas/opensource/datasets/src/datasets/builder.py", line 902, in _prepare_split
    for key, record in utils.tqdm(
  File "/home/mesfas/environments/ar_res_reviews/lib/python3.8/site-packages/tqdm/std.py", line 1133, in __iter__
    for obj in iterable:
  File "/home/mesfas/.cache/huggingface/modules/datasets_modules/datasets/saudinewsnet/62ece5ef0a991415352d4b1efac681d75b5b3404064fd4f6a1d659499dab18f4/saudinewsnet.py", line 108, in _generate_examples
    with open(filepath, encoding="utf-8").read() as f:
IsADirectoryError: [Errno 21] Is a directory: '/home/mesfas/.cache/huggingface/datasets/downloads/extracted/314fd983aa07d3dada9429911a805270c3285f48759d3584a1343c2d86260765'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "./datasets/saudinewsnet/test.py", line 3, in <module>
    data = load_dataset("./datasets/saudinewsnet", split= "train")
  File "/home/mesfas/opensource/datasets/src/datasets/load.py", line 607, in load_dataset
    builder_instance.download_and_prepare(
  File "/home/mesfas/opensource/datasets/src/datasets/builder.py", line 526, in download_and_prepare
    self._download_and_prepare(
  File "/home/mesfas/opensource/datasets/src/datasets/builder.py", line 606, in _download_and_prepare
    raise OSError(
OSError: Cannot find data file. 
Original error:
[Errno 21] Is a directory: '/home/mesfas/.cache/huggingface/datasets/downloads/extracted/314fd983aa07d3dada9429911a805270c3285f48759d3584a1343c2d86260765'
```


this is the split code 

```
    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        my_urls = _URL
        datadir = dl_manager.download_and_extract(my_urls)
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                # These kwargs will be passed to _generate_examples
                gen_kwargs={
                    "filepath": datadir,
                    "split": "train"
                },
            ),
        ]
```
and this is how I'm generating the examples

```
    def _generate_examples(self, filepath, split):
        
        #logging.info("generating examples from = %s", filepath)
        with open(filepath, encoding="utf-8") as f:
            articles = json.load(f)
            for article in articles:
                title = article.get("title", "").strip()
                source = article.get("source", "").strip()
                date = article.get("date_extracted", "").strip()
                link = article.get("url", "").strip()
                author = article.get("author", "").strip()
                content = article.get("content", "").strip()

                yield id_, {
                    "title": title,
                    "source": source,
                    "date": date,
                    "link": link,
                    "author": author,
                    "content": content
                }
``` What's `_URL` ?

It looks like you are downloading an archive.
Therefore you may need to get to the file path using `filepath = os.path.join(datadir, "actual_file_name_inside_the_downloaded_archive")` @lhoestq you were 100% right. Thank you. All fixed @lhoestq ping! @lhoestq  added the remaining 17 batches and modified the readme.md to reflect that + resolved the camel case comment merging since the CI is fixed on master
I'm having issues in creating the dummy data. I'm still investigating how to fix it. I'll close the PR if I couldn't find a solution