Datasets:
Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
10K - 100K
License:
language: | |
- en | |
license: | |
- other | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 10K<n<100K | |
task_categories: | |
- token-classification | |
task_ids: | |
- named-entity-recognition | |
pretty_name: Ontonotes5 | |
# Dataset Card for "tner/ontonotes5" | |
## Dataset Description | |
- **Repository:** [T-NER](https://github.com/asahi417/tner) | |
- **Paper:** [https://aclanthology.org/N06-2015/](https://aclanthology.org/N06-2015/) | |
### Dataset Summary | |
Ontonotes5 NER dataset formatted in a part of [TNER](https://github.com/asahi417/tner) project. | |
## Dataset Structure | |
### Data Instances | |
An example of `train` looks as follows. | |
``` | |
{ | |
'tags': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 5, 0, 0, 0, 0, 11, 12, 12, 12, 12, 0, 0, 7, 0, 0, 0, 0, 0], | |
'tokens': ['``', 'It', "'s", 'very', 'costly', 'and', 'time', '-', 'consuming', ',', "''", 'says', 'Phil', 'Rosen', ',', 'a', 'partner', 'in', 'Fleet', '&', 'Leasing', 'Management', 'Inc.', ',', 'a', 'Boston', 'car', '-', 'leasing', 'company', '.'] | |
} | |
``` | |
### Label ID | |
The label2id dictionary can be found at [here](https://huggingface.co/datasets/tner/onotonotes5/raw/main/dataset/label.json). | |
```python | |
{ | |
"O": 0, | |
"B-CARDINAL": 1, | |
"B-DATE": 2, | |
"I-DATE": 3, | |
"B-PERSON": 4, | |
"I-PERSON": 5, | |
"B-NORP": 6, | |
"B-GPE": 7, | |
"I-GPE": 8, | |
"B-LAW": 9, | |
"I-LAW": 10, | |
"B-ORG": 11, | |
"I-ORG": 12, | |
"B-PERCENT": 13, | |
"I-PERCENT": 14, | |
"B-ORDINAL": 15, | |
"B-MONEY": 16, | |
"I-MONEY": 17, | |
"B-WORK_OF_ART": 18, | |
"I-WORK_OF_ART": 19, | |
"B-FAC": 20, | |
"B-TIME": 21, | |
"I-CARDINAL": 22, | |
"B-LOC": 23, | |
"B-QUANTITY": 24, | |
"I-QUANTITY": 25, | |
"I-NORP": 26, | |
"I-LOC": 27, | |
"B-PRODUCT": 28, | |
"I-TIME": 29, | |
"B-EVENT": 30, | |
"I-EVENT": 31, | |
"I-FAC": 32, | |
"B-LANGUAGE": 33, | |
"I-PRODUCT": 34, | |
"I-ORDINAL": 35, | |
"I-LANGUAGE": 36 | |
} | |
``` | |
### Data Splits | |
| name |train|validation|test| | |
|---------|----:|---------:|---:| | |
|conll2003|14041| 3250|3453| | |
### Citation Information | |
``` | |
@inproceedings{hovy-etal-2006-ontonotes, | |
title = "{O}nto{N}otes: The 90{\%} Solution", | |
author = "Hovy, Eduard and | |
Marcus, Mitchell and | |
Palmer, Martha and | |
Ramshaw, Lance and | |
Weischedel, Ralph", | |
booktitle = "Proceedings of the Human Language Technology Conference of the {NAACL}, Companion Volume: Short Papers", | |
month = jun, | |
year = "2006", | |
address = "New York City, USA", | |
publisher = "Association for Computational Linguistics", | |
url = "https://aclanthology.org/N06-2015", | |
pages = "57--60", | |
} | |
``` |