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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', {})}Need help to make the dataset viewer work? Open a discussion for direct support.
AutoTrain Dataset for project: multiconer2-test1
Dataset Description
This dataset has been automatically processed by AutoTrain for project multiconer2-test1.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"tokens": [
"robert",
"gottschalk",
"1939",
"academy",
"award",
"winner",
"and",
"founder",
"of",
"panavision"
],
"tags": [
18,
49,
62,
29,
60,
62,
62,
62,
62,
16
]
},
{
"tokens": [
"during",
"the",
"reign",
"of",
"the",
"tongzhi",
"emperor",
"(",
"r",
".",
"1861",
"\u2013",
"1875",
")",
":"
],
"tags": [
62,
62,
62,
62,
62,
18,
49,
62,
62,
62,
62,
62,
62,
62,
62
]
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"tokens": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
"tags": "Sequence(feature=ClassLabel(num_classes=63, names=['B-AnatomicalStructure', 'B-ArtWork', 'B-Artist', 'B-Athlete', 'B-CarManufacturer', 'B-Cleric', 'B-Clothing', 'B-Disease', 'B-Drink', 'B-Facility', 'B-Food', 'B-HumanSettlement', 'B-MedicalProcedure', 'B-Medication/Vaccine', 'B-MusicalGRP', 'B-MusicalWork', 'B-ORG', 'B-OtherLOC', 'B-OtherPER', 'B-OtherPROD', 'B-Politician', 'B-PrivateCorp', 'B-PublicCorp', 'B-Scientist', 'B-Software', 'B-SportsGRP', 'B-SportsManager', 'B-Station', 'B-Vehicle', 'B-VisualWork', 'B-WrittenWork', 'I-AnatomicalStructure', 'I-ArtWork', 'I-Artist', 'I-Athlete', 'I-CarManufacturer', 'I-Cleric', 'I-Clothing', 'I-Disease', 'I-Drink', 'I-Facility', 'I-Food', 'I-HumanSettlement', 'I-MedicalProcedure', 'I-Medication/Vaccine', 'I-MusicalGRP', 'I-MusicalWork', 'I-ORG', 'I-OtherLOC', 'I-OtherPER', 'I-OtherPROD', 'I-Politician', 'I-PrivateCorp', 'I-PublicCorp', 'I-Scientist', 'I-Software', 'I-SportsGRP', 'I-SportsManager', 'I-Station', 'I-Vehicle', 'I-VisualWork', 'I-WrittenWork', 'O'], 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 | 2169 |
| valid | 829 |
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