Datasets:
license: other | |
license_name: other | |
license_link: LICENSE | |
configs: | |
- config_name: default | |
data_files: | |
- split: train | |
path: data/train-* | |
- split: validation | |
path: data/validation-* | |
- split: test | |
path: data/test-* | |
dataset_info: | |
features: | |
- name: id | |
dtype: string | |
- name: tokens | |
sequence: string | |
- name: pos_tags | |
sequence: | |
class_label: | |
names: | |
'0': '"' | |
'1': '''''' | |
'2': '#' | |
'3': $ | |
'4': ( | |
'5': ) | |
'6': ',' | |
'7': . | |
'8': ':' | |
'9': '``' | |
'10': CC | |
'11': CD | |
'12': DT | |
'13': EX | |
'14': FW | |
'15': IN | |
'16': JJ | |
'17': JJR | |
'18': JJS | |
'19': LS | |
'20': MD | |
'21': NN | |
'22': NNP | |
'23': NNPS | |
'24': NNS | |
'25': NN|SYM | |
'26': PDT | |
'27': POS | |
'28': PRP | |
'29': PRP$ | |
'30': RB | |
'31': RBR | |
'32': RBS | |
'33': RP | |
'34': SYM | |
'35': TO | |
'36': UH | |
'37': VB | |
'38': VBD | |
'39': VBG | |
'40': VBN | |
'41': VBP | |
'42': VBZ | |
'43': WDT | |
'44': WP | |
'45': WP$ | |
'46': WRB | |
- name: chunk_tags | |
sequence: | |
class_label: | |
names: | |
'0': O | |
'1': B-ADJP | |
'2': I-ADJP | |
'3': B-ADVP | |
'4': I-ADVP | |
'5': B-CONJP | |
'6': I-CONJP | |
'7': B-INTJ | |
'8': I-INTJ | |
'9': B-LST | |
'10': I-LST | |
'11': B-NP | |
'12': I-NP | |
'13': B-PP | |
'14': I-PP | |
'15': B-PRT | |
'16': I-PRT | |
'17': B-SBAR | |
'18': I-SBAR | |
'19': B-UCP | |
'20': I-UCP | |
'21': B-VP | |
'22': I-VP | |
- name: ner_tags | |
sequence: | |
class_label: | |
names: | |
'0': O | |
'1': B-PER | |
'2': I-PER | |
'3': B-ORG | |
'4': I-ORG | |
'5': B-LOC | |
'6': I-LOC | |
'7': B-MISC | |
'8': I-MISC | |
- name: ner_labels | |
sequence: string | |
- name: sentence | |
dtype: string | |
- name: entities | |
struct: | |
- name: LOC | |
sequence: string | |
- name: MISC | |
sequence: string | |
- name: ORG | |
sequence: string | |
- name: PER | |
sequence: string | |
splits: | |
- name: train | |
num_bytes: 9823344 | |
num_examples: 14041 | |
- name: validation | |
num_bytes: 2461842 | |
num_examples: 3250 | |
- name: test | |
num_bytes: 2248983 | |
num_examples: 3453 | |
download_size: 3369931 | |
dataset_size: 14534169 | |
task_categories: | |
- text-generation | |
- token-classification | |
language: | |
- en | |
size_categories: | |
- 10K<n<100K | |
# Dataset Card for CoNLL-2003 with NER Workflow Enhancements | |
This dataset is a modified version of the CoNLL-2003 dataset, enhanced to support an LLM-based Named Entity Recognition (NER) workflow. Two new columns, `sentence` and `entities`, have been added. You can find the code used to generate this version together with the data files. | |
## Named Entities | |
As in the original CoNLL-2003 task, this dataset focuses on four types of named entities: | |
- Persons (PER) | |
- Locations (LOC) | |
- Organizations (ORG) | |
- Miscellaneous entities (MISC) that do not belong to the previous three groups. | |
## Workflow | |
The LLM is provided with the `sentence` and a prompt containing NER task instructions. It is then asked to output a dictionary with the identified Named Entities. | |
### Example | |
For the sentence: | |
``` | |
EU rejects German call to boycott British lamb. | |
``` | |
The expected output is: | |
```json | |
{ | |
"entities": { | |
"LOC": [], | |
"MISC": ["German", "British"], | |
"ORG": ["EU"], | |
"PER": [] | |
} | |
} | |
``` | |
## Original Dataset | |
You can find the original dataset and its associated documentation at the [CoNLL-2003 dataset on Hugging Face](https://huggingface.co/datasets/eriktks/conll2003). | |