conll2003 dataset loads original data.
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['Thanks for reporting @sue99.\r\n\r\nUnfortunately. I\'m not able to reproduce your problem:\r\n```python\r\nIn [1]: import datasets\r\n   ...: from datasets import load_dataset\r\n   ...: dataset = load_dataset("conll2003")\r\n\r\nIn [2]: dataset\r\nOut[2]: \r\nDatasetDict({\r\n    train: Dataset({\r\n        features: [\'id\', \'tokens\', \'pos_tags\', \'chunk_tags\', \'ner_tags\'],\r\n        num_rows: 14042\r\n    })\r\n    validation: Dataset({\r\n        features: [\'id\', \'tokens\', \'pos_tags\', \'chunk_tags\', \'ner_tags\'],\r\n        num_rows: 3251\r\n    })\r\n    test: Dataset({\r\n        features: [\'id\', \'tokens\', \'pos_tags\', \'chunk_tags\', \'ner_tags\'],\r\n        num_rows: 3454\r\n    })\r\n})\r\n\r\nIn [3]: dataset["train"][0]\r\nOut[3]: \r\n{\'id\': \'0\',\r\n \'tokens\': [\'EU\',\r\n  \'rejects\',\r\n  \'German\',\r\n  \'call\',\r\n  \'to\',\r\n  \'boycott\',\r\n  \'British\',\r\n  \'lamb\',\r\n  \'.\'],\r\n \'pos_tags\': [22, 42, 16, 21, 35, 37, 16, 21, 7],\r\n \'chunk_tags\': [11, 21, 11, 12, 21, 22, 11, 12, 0],\r\n \'ner_tags\': [3, 0, 7, 0, 0, 0, 7, 0, 0]}\r\n```\r\n\r\nJust guessing: might be the case that you are calling `load_dataset` from a working directory that contains a local folder named `conll2003` (containing the raw data files)? If that is the case, `datasets` library gives precedence to the local folder over the dataset on the Hub. ']
## Describe the bug
I load `conll2003` dataset to use refined data like [this](https://huggingface.co/datasets/conll2003/viewer/conll2003/train)  preview, but it is original data that contains `'-DOCSTART- -X- -X- O'` text.

Is this a bug or should I use another dataset_name like `lhoestq/conll2003` ?

## Steps to reproduce the bug
```python
import datasets
from datasets import load_dataset
dataset = load_dataset("conll2003")
```

## Expected results
{
    "chunk_tags": [11, 12, 12, 21, 13, 11, 11, 21, 13, 11, 12, 13, 11, 21, 22, 11, 12, 17, 11, 21, 17, 11, 12, 12, 21, 22, 22, 13, 11, 0],
    "id": "0",
    "ner_tags": [0, 3, 4, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    "pos_tags": [12, 22, 22, 38, 15, 22, 28, 38, 15, 16, 21, 35, 24, 35, 37, 16, 21, 15, 24, 41, 15, 16, 21, 21, 20, 37, 40, 35, 21, 7],
    "tokens": ["The", "European", "Commission", "said", "on", "Thursday", "it", "disagreed", "with", "German", "advice", "to", "consumers", "to", "shun", "British", "lamb", "until", "scientists", "determine", "whether", "mad", "cow", "disease", "can", "be", "transmitted", "to", "sheep", "."]
}

## Actual results
```python
print(dataset)

DatasetDict({
    train: Dataset({
        features: ['text'],
        num_rows: 219554
    })
    test: Dataset({
        features: ['text'],
        num_rows: 50350
    })
    validation: Dataset({
        features: ['text'],
        num_rows: 55044
    })
})
```

```python
for i in range(20):
    print(dataset['train'][i])

{'text': '-DOCSTART- -X- -X- O'}
{'text': ''}
{'text': 'EU NNP B-NP B-ORG'}
{'text': 'rejects VBZ B-VP O'}
{'text': 'German JJ B-NP B-MISC'}
{'text': 'call NN I-NP O'}
{'text': 'to TO B-VP O'}
{'text': 'boycott VB I-VP O'}
{'text': 'British JJ B-NP B-MISC'}
{'text': 'lamb NN I-NP O'}
{'text': '. . O O'}
{'text': ''}
{'text': 'Peter NNP B-NP B-PER'}
{'text': 'Blackburn NNP I-NP I-PER'}
{'text': ''}
{'text': 'BRUSSELS NNP B-NP B-LOC'}
{'text': '1996-08-22 CD I-NP O'}
{'text': ''}
{'text': 'The DT B-NP O'}
{'text': 'European NNP I-NP B-ORG'}
```

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