Datasets:
Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
1K - 10K
License:
language: | |
- en | |
license: | |
- mit | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 1K<n<10K | |
task_categories: | |
- token-classification | |
task_ids: | |
- named-entity-recognition | |
pretty_name: FIN | |
# Dataset Card for "tner/fin" | |
## Dataset Description | |
- **Repository:** [T-NER](https://github.com/asahi417/tner) | |
- **Paper:** [https://aclanthology.org/U15-1010.pdf](https://aclanthology.org/U15-1010.pdf) | |
- **Dataset:** FIN | |
- **Domain:** Financial News | |
- **Number of Entity:** 4 | |
### Dataset Summary | |
FIN NER dataset formatted in a part of [TNER](https://github.com/asahi417/tner) project. | |
FIN dataset contains training (FIN5) and test (FIN3) only, so we randomly sample a half size of test instances from the training set to create validation set. | |
- Entity Types: `ORG`, `LOC`, `PER`, `MISC` | |
## Dataset Structure | |
### Data Instances | |
An example of `train` looks as follows. | |
``` | |
{ | |
"tags": [0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], | |
"tokens": ["1", ".", "1", ".", "4", "Borrower", "engages", "in", "criminal", "conduct", "or", "is", "involved", "in", "criminal", "activities", ";"] | |
} | |
``` | |
### Label ID | |
The label2id dictionary can be found at [here](https://huggingface.co/datasets/tner/fin/raw/main/dataset/label.json). | |
```python | |
{ | |
"O": 0, | |
"B-PER": 1, | |
"B-LOC": 2, | |
"B-ORG": 3, | |
"B-MISC": 4, | |
"I-PER": 5, | |
"I-LOC": 6, | |
"I-ORG": 7, | |
"I-MISC": 8 | |
} | |
``` | |
### Data Splits | |
| name |train|validation|test| | |
|---------|----:|---------:|---:| | |
|fin |1014 | 303| 150| | |
### Citation Information | |
``` | |
@inproceedings{salinas-alvarado-etal-2015-domain, | |
title = "Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment", | |
author = "Salinas Alvarado, Julio Cesar and | |
Verspoor, Karin and | |
Baldwin, Timothy", | |
booktitle = "Proceedings of the Australasian Language Technology Association Workshop 2015", | |
month = dec, | |
year = "2015", | |
address = "Parramatta, Australia", | |
url = "https://aclanthology.org/U15-1010", | |
pages = "84--90", | |
} | |
``` |