Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found multiconer_v1.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1177, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found multiconer_v1.py

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MultiCoNER v1

MultiCoNER v1 is a multilingual dataset for complex named entity recognition.

This repository is an unofficial convenience mirror created to make the publicly available dataset easier to access through Hugging Face. I did not create or own this dataset. All credit belongs to the original MultiCoNER authors and the organizers of SemEval-2022 Task 11.

Entity types

The dataset uses BIO annotations for six entity types: Person (PER), Location (LOC), Group (GRP), Corporation (CORP), Product (PROD), and Creative Work (CW).

Data format

The files are provided in CoNLL format. Each line contains a token and its named entity label, while empty lines separate samples.

Download

from huggingface_hub import snapshot_download

dataset_path = snapshot_download(
    repo_id="samanjoy2/multiconer_v1",
    repo_type="dataset"
)

License

The original dataset is distributed under the Creative Commons Attribution 4.0 International license.

Citation

@inproceedings{malmasi-etal-2022-multiconer,
    title = "{M}ulti{C}o{NER}: A Large-scale Multilingual Dataset for Complex Named Entity Recognition",
    author = "Malmasi, Shervin and Fang, Anjie and Fetahu, Besnik and Kar, Sudipta and Rokhlenko, Oleg",
    booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
    year = "2022",
    pages = "3798--3809",
    url = "https://aclanthology.org/2022.coling-1.334/"
}

This repository is only a convenience mirror. Please cite the original dataset authors.

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