Datasets:
The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found conll2003.py
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1031, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 989, 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 conll2003.pyNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Dataset Card for "tner/conll2003"
Dataset Summary
CoNLL-2003 NER dataset formatted in a part of TNER project.
- Entity Types:
ORG,PER,LOC,MISC
Dataset Structure
Data Instances
An example of train looks as follows.
{
'tags': ['SOCCER','-', 'JAPAN', 'GET', 'LUCKY', 'WIN', ',', 'CHINA', 'IN', 'SURPRISE', 'DEFEAT', '.'],
'tokens': [0, 0, 5, 0, 0, 0, 0, 3, 0, 0, 0, 0]
}
Label ID
The label2id dictionary can be found at here.
{
"O": 0,
"B-ORG": 1,
"B-MISC": 2,
"B-PER": 3,
"I-PER": 4,
"B-LOC": 5,
"I-ORG": 6,
"I-MISC": 7,
"I-LOC": 8
}
Data Splits
| name | train | validation | test |
|---|---|---|---|
| conll2003 | 14041 | 3250 | 3453 |
Licensing Information
From the CoNLL2003 shared task page:
The English data is a collection of news wire articles from the Reuters Corpus. The annotation has been done by people of the University of Antwerp. Because of copyright reasons we only make available the annotations. In order to build the complete data sets you will need access to the Reuters Corpus. It can be obtained for research purposes without any charge from NIST.
The copyrights are defined below, from the Reuters Corpus page:
The stories in the Reuters Corpus are under the copyright of Reuters Ltd and/or Thomson Reuters, and their use is governed by the following agreements:
This agreement must be signed by the person responsible for the data at your organization, and sent to NIST.
This agreement must be signed by all researchers using the Reuters Corpus at your organization, and kept on file at your organization.
Citation Information
@inproceedings{tjong-kim-sang-de-meulder-2003-introduction,
title = "Introduction to the {C}o{NLL}-2003 Shared Task: Language-Independent Named Entity Recognition",
author = "Tjong Kim Sang, Erik F. and De Meulder, Fien",
booktitle = "Proceedings of the Seventh Conference on Natural Language Learning at {HLT}-{NAACL} 2003",
year = "2003",
url = "https://www.aclweb.org/anthology/W03-0419",
pages = "142--147",
}
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