Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Tags:
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", | |
| } | |
| ``` |