NewsPH NLI dataset script fails to access test data.
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[]
['Thanks @bhavitvyamalik for the fix !\r\nThe fix will be available in the next release.\r\nIt\'s already available on the `master` branch. For now you can either install `datasets` from source or use `script_version="master"` in `load_dataset` to use the fixed version of this dataset.']
In Newsph-NLI Dataset (#1192), it fails to access test data.

According to the script below, the download manager will download the train data when trying to download the test data. 

https://github.com/huggingface/datasets/blob/2a2dd6316af2cc7fdf24e4779312e8ee0c7ed98b/datasets/newsph_nli/newsph_nli.py#L71

If you download it according to the script above, you can see that train and test receive the same data as shown below.
```python
>>> from datasets import load_dataset
>>> newsph_nli = load_dataset(path="./datasets/newsph_nli.py")
>>> newsph_nli
DatasetDict({
    train: Dataset({
        features: ['premise', 'hypothesis', 'label'],
        num_rows: 420000
    })
    test: Dataset({
        features: ['premise', 'hypothesis', 'label'],
        num_rows: 420000
    })
    validation: Dataset({
        features: ['premise', 'hypothesis', 'label'],
        num_rows: 90000
    })
})
>>> newsph_nli["train"][0]
{'hypothesis': 'Ito ang dineklara ni Atty. Romulo Macalintal, abogado ni Robredo, kaugnay ng pagsisimula ng preliminary conference ngayong hapon sa Presidential Electoral Tribunal (PET).',
 'label': 1,
 'premise': '"Hindi ko ugali ang mamulitika; mas gusto kong tahimik na magtrabaho. Pero sasabihin ko ito ngayon: ang tapang, lakas, at diskarte, hindi nadadaan sa mapanirang salita. Ang kailangan ng taumbayan ay tapang sa gawa," ayon kay Robredo sa inilabas nitong statement.'}
>>> newsph_nli["test"][0]
{'hypothesis': 'Ito ang dineklara ni Atty. Romulo Macalintal, abogado ni Robredo, kaugnay ng pagsisimula ng preliminary conference ngayong hapon sa Presidential Electoral Tribunal (PET).',
 'label': 1,
 'premise': '"Hindi ko ugali ang mamulitika; mas gusto kong tahimik na magtrabaho. Pero sasabihin ko ito ngayon: ang tapang, lakas, at diskarte, hindi nadadaan sa mapanirang salita. Ang kailangan ng taumbayan ay tapang sa gawa," ayon kay Robredo sa inilabas nitong statement.'}
```

In local, I modified the code of the source as below and got the correct result.
```python
71    test_path = os.path.join(download_path, "test.csv") 
```
```python
>>> from datasets import load_dataset
>>> newsph_nli = load_dataset(path="./datasets/newsph_nli.py")
>>> newsph_nli
DatasetDict({
    train: Dataset({
        features: ['premise', 'hypothesis', 'label'],
        num_rows: 420000
    })
    test: Dataset({
        features: ['premise', 'hypothesis', 'label'],
        num_rows: 9000
    })
    validation: Dataset({
        features: ['premise', 'hypothesis', 'label'],
        num_rows: 90000
    })
})
>>> newsph_nli["train"][0]
{'hypothesis': 'Ito ang dineklara ni Atty. Romulo Macalintal, abogado ni Robredo, kaugnay ng pagsisimula ng preliminary conference ngayong hapon sa Presidential Electoral Tribunal (PET).',
 'label': 1,
 'premise': '"Hindi ko ugali ang mamulitika; mas gusto kong tahimik na magtrabaho. Pero sasabihin ko ito ngayon: ang tapang, lakas, at diskarte, hindi nadadaan sa mapanirang salita. Ang kailangan ng taumbayan ay tapang sa gawa," ayon kay Robredo sa inilabas nitong statement.'}
>>> newsph_nli["test"][0]
{'hypothesis': '-- JAI (@JaiPaller) September 13, 2019',
 'label': 1,
 'premise': 'Pinag-iingat ng Konsulado ng Pilipinas sa Dubai ang publiko, partikular ang mga donor, laban sa mga scam na gumagamit ng mga charitable organization.'}
```

I don't have experience with open source pull requests, so I suggest that you reflect them in the source.

Thank you for reading :)
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