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96harsh56
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autotrain-data-test

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The dataset viewer is not available for this dataset.

Cannot get the config names for the dataset.

Error code:   ConfigNamesError
Exception:    ValueError
Message:      Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('json', {}), NamedSplit('validation'): ('json', {}), NamedSplit('test'): ('csv', {})}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 55, in compute_config_names_response
                  for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1512, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1489, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1054, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 513, in infer_module_for_data_files
                  raise ValueError(f"Couldn't infer the same data file format for all splits. Got {split_modules}")
              ValueError: Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('json', {}), NamedSplit('validation'): ('json', {}), NamedSplit('test'): ('csv', {})}

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AutoTrain Dataset for project: test

Dataset Description

This dataset has been automatically processed by AutoTrain for project test.

Languages

The BCP-47 code for the dataset's language is unk.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "context": "The constitution of Jordan grants its monarch the right to withhold assent to laws passed by its parliament. Article 93 of that document gives the Jordanian sovereign six months to sign or veto any legislation sent to him from the National Assembly; if he vetoes it within that timeframe, the assembly may override his veto by a two-thirds vote of both houses; otherwise, the law does not go into effect (but it may be reconsidered in the next session of the assembly). If the monarch fails to act within six months of the bill being presented to him, it becomes law without his signature.",
    "question": "What happens if the soverign doesn't sign the bill within the six-month time frame?",
    "answers.text": [
      ", it becomes law without his signature"
    ],
    "answers.answer_start": [
      550
    ],
    "feat_id": [
      "572ab241be1ee31400cb818b"
    ],
    "feat_title": [
      "Royal_assent"
    ]
  },
  {
    "context": "The modern Greek theatre was born after the Greek independence, in the early 19th century, and initially was influenced by the Heptanesean theatre and melodrama, such as the Italian opera. The Nobile Teatro di San Giacomo di Corf\u00f9 was the first theatre and opera house of modern Greece and the place where the first Greek opera, Spyridon Xyndas' The Parliamentary Candidate (based on an exclusively Greek libretto) was performed. During the late 19th and early 20th century, the Athenian theatre scene was dominated by revues, musical comedies, operettas and nocturnes and notable playwrights included Spyridon Samaras, Dionysios Lavrangas, Theophrastos Sakellaridis and others.",
    "question": "What was the first Greek opera?",
    "answers.text": [
      "The Parliamentary Candidate"
    ],
    "answers.answer_start": [
      346
    ],
    "feat_id": [
      "57267a75dd62a815002e8683"
    ],
    "feat_title": [
      "Greece"
    ]
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

{
  "context": "Value(dtype='string', id=None)",
  "question": "Value(dtype='string', id=None)",
  "answers.text": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
  "answers.answer_start": "Sequence(feature=Value(dtype='int32', id=None), length=-1, id=None)",
  "feat_id": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
  "feat_title": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)"
}

Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

Split name	Num samples
train	104204
valid	26051

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