README.md

---
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).