Datasets:

DFKI-SLT

/

few-nerd

like 18

from datasets import load_dataset
dataset = load_dataset("DFKI-SLT/few-nerd")

Got the above code from by clicking on the use this dataset button on the model card.

Ran it on colab and faced with the following error trace.

/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: UserWarning: 
The secret `HF_TOKEN` does not exist in your Colab secrets.
To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.
You will be able to reuse this secret in all of your notebooks.
Please note that authentication is recommended but still optional to access public models or datasets.
  warnings.warn(
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-5-04726d0e7b2f> in <cell line: 2>()
      1 from datasets import load_dataset
----> 2 dataset = load_dataset("DFKI-SLT/few-nerd")

3 frames
/usr/local/lib/python3.10/dist-packages/datasets/load.py in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs)
   2554 
   2555     # Create a dataset builder
-> 2556     builder_instance = load_dataset_builder(
   2557         path=path,
   2558         name=name,

/usr/local/lib/python3.10/dist-packages/datasets/load.py in load_dataset_builder(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, token, use_auth_token, storage_options, trust_remote_code, _require_default_config_name, **config_kwargs)
   2263     builder_cls = get_dataset_builder_class(dataset_module, dataset_name=dataset_name)
   2264     # Instantiate the dataset builder
-> 2265     builder_instance: DatasetBuilder = builder_cls(
   2266         cache_dir=cache_dir,
   2267         dataset_name=dataset_name,

/usr/local/lib/python3.10/dist-packages/datasets/builder.py in __init__(self, cache_dir, dataset_name, config_name, hash, base_path, info, features, token, use_auth_token, repo_id, data_files, data_dir, storage_options, writer_batch_size, name, **config_kwargs)
    369         if data_dir is not None:
    370             config_kwargs["data_dir"] = data_dir
--> 371         self.config, self.config_id = self._create_builder_config(
    372             config_name=config_name,
    373             custom_features=features,

/usr/local/lib/python3.10/dist-packages/datasets/builder.py in _create_builder_config(self, config_name, custom_features, **config_kwargs)
    575                     if not config_kwargs:
    576                         example_of_usage = f"load_dataset('{self.dataset_name}', '{self.BUILDER_CONFIGS[0].name}')"
--> 577                         raise ValueError(
    578                             "Config name is missing."
    579                             f"\nPlease pick one among the available configs: {list(self.builder_configs.keys())}"

ValueError: Config name is missing.
Please pick one among the available configs: ['inter', 'intra', 'supervised']
Example of usage:
    `load_dataset('few-nerd', 'inter')`

Try 2

Even using the suggested way load_dataset('few-nerd', 'inter') failed.

---------------------------------------------------------------------------
DatasetNotFoundError                      Traceback (most recent call last)
<ipython-input-8-284f722048d5> in <cell line: 2>()
      1 from datasets import load_dataset
----> 2 dataset = load_dataset('few-nerd', 'inter')

3 frames
/usr/local/lib/python3.10/dist-packages/datasets/load.py in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs)
   2554 
   2555     # Create a dataset builder
-> 2556     builder_instance = load_dataset_builder(
   2557         path=path,
   2558         name=name,

/usr/local/lib/python3.10/dist-packages/datasets/load.py in load_dataset_builder(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, token, use_auth_token, storage_options, trust_remote_code, _require_default_config_name, **config_kwargs)
   2226         download_config = download_config.copy() if download_config else DownloadConfig()
   2227         download_config.storage_options.update(storage_options)
-> 2228     dataset_module = dataset_module_factory(
   2229         path,
   2230         revision=revision,

/usr/local/lib/python3.10/dist-packages/datasets/load.py in dataset_module_factory(path, revision, download_config, download_mode, dynamic_modules_path, data_dir, data_files, cache_dir, trust_remote_code, _require_default_config_name, _require_custom_configs, **download_kwargs)
   1871                     raise ConnectionError(f"Couldn't reach the Hugging Face Hub for dataset '{path}': {e1}") from None
   1872                 if isinstance(e1, (DataFilesNotFoundError, DatasetNotFoundError, EmptyDatasetError)):
-> 1873                     raise e1 from None
   1874                 if isinstance(e1, FileNotFoundError):
   1875                     raise FileNotFoundError(

/usr/local/lib/python3.10/dist-packages/datasets/load.py in dataset_module_factory(path, revision, download_config, download_mode, dynamic_modules_path, data_dir, data_files, cache_dir, trust_remote_code, _require_default_config_name, _require_custom_configs, **download_kwargs)
   1817                     msg = f"Dataset '{path}' doesn't exist on the Hub or cannot be accessed"
   1818                     msg = msg + f" at revision '{revision}'" if revision else msg
-> 1819                     raise DatasetNotFoundError(
   1820                         msg
   1821                         + f". If the dataset is private or gated, make sure to log in with `huggingface-cli login` or visit the dataset page at https://huggingface.co/datasets/{path} to ask for access."

DatasetNotFoundError: Dataset 'few-nerd' doesn't exist on the Hub or cannot be accessed. If the dataset is private or gated, make sure to log in with `huggingface-cli login` or visit the dataset page at https://huggingface.co/datasets/few-nerd to ask for access.