
# Dataset Card for KorFin-ABSA

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description
### Dataset Summary

The KorFin-ASC is an extension of KorFin-ABSA including 8818 samples with (aspect, polarity) pairs annotated. 
The samples were collected from [KLUE-TC](https://klue-benchmark.com/tasks/66/overview/description) and 
analyst reports from [Naver Finance](https://finance.naver.com). 
Annotation of the dataset is described in the paper [Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance](https://arxiv.org/abs/2301.03136).


### Supported Tasks and Leaderboards

This dataset supports the following tasks:

* Aspect-Based Sentiment Classification

### Languages

Korean

## Dataset Structure

### Data Instances

Each instance consists of a single sentence, aspect, and corresponding polarity (POSITIVE/NEGATIVE/NEUTRAL).

```
{
  "title": "LGU＋ 1분기 영업익 1천706억원…마케팅 비용 감소",
  "aspect": "LG U+",
  'sentiment': 'NEUTRAL', 
  'url': 'https://news.naver.com/main/read.nhn?mode=LS2D&mid=shm&sid1=105&sid2=227&oid=001&aid=0008363739', 
  'annotator_id': 'A_01', 
  'Type': 'single'
}

```

### Data Fields

* title: 
* aspect: 
* sentiment: 
* url: 
* annotator_id: 
* url: 


### Data Splits

The dataset currently does not contain standard data splits.

## Additional Information

You can download the data via:
```
from datasets import load_dataset
dataset = load_dataset("amphora/KorFin-ASC")
``` 
Please find more information about the code and how the data was collected in the paper [Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance](https://arxiv.org/abs/2301.03136).
The best-performing model on this dataset can be found at [link](https://huggingface.co/amphora/KorFinASC-XLM-RoBERTa).

### Licensing Information

KorFin-ASC is licensed under the terms of the [cc-by-sa-4.0](https://creativecommons.org/licenses/by-sa/4.0/)

### Citation Information

Please cite this data using: 

```
@article{son2023removing,
  title={Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance},
  author={Son, Guijin and Lee, Hanwool and Kang, Nahyeon and Hahm, Moonjeong},
  journal={arXiv preprint arXiv:2301.03136},
  year={2023}
}
```

### Contributions

Thanks to [@Albertmade](https://github.com/h-albert-lee), [@amphora](https://github.com/guijinSON) for making this dataset.
task_categories:text-classification task_ids:topic-classification task_ids:sentiment-classification annotations_creators:expert-generated language_creators:expert-generated multilinguality:monolingual size_categories:1K<n<10K source_datasets:klue language:ko license:cc-by-sa-4.0 sentiment analysis aspect based sentiment analysis finance arxiv:2301.03136 region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["ko"], "license": "cc-by-sa-4.0", "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["klue"], "task_categories": ["text-classification"], "task_ids": ["topic-classification", "sentiment-classification"], "pretty_name": "KorFin-ABSA", "tags": ["sentiment analysis", "aspect based sentiment analysis", "finance"]}
TAGS
#task_categories-text-classification #task_ids-topic-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-klue #language-Korean #license-cc-by-sa-4.0 #sentiment analysis #aspect based sentiment analysis #finance #arxiv-2301.03136 #region-us 


# Dataset Card for KorFin-ABSA

## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description
### Dataset Summary

The KorFin-ASC is an extension of KorFin-ABSA including 8818 samples with (aspect, polarity) pairs annotated. 
The samples were collected from KLUE-TC and 
analyst reports from Naver Finance. 
Annotation of the dataset is described in the paper Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance.


### Supported Tasks and Leaderboards

This dataset supports the following tasks:

* Aspect-Based Sentiment Classification

### Languages

Korean

## Dataset Structure

### Data Instances

Each instance consists of a single sentence, aspect, and corresponding polarity (POSITIVE/NEGATIVE/NEUTRAL).



### Data Fields

* title: 
* aspect: 
* sentiment: 
* url: 
* annotator_id: 
* url: 


### Data Splits

The dataset currently does not contain standard data splits.

## Additional Information

You can download the data via:
 
Please find more information about the code and how the data was collected in the paper Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance.
The best-performing model on this dataset can be found at link.

### Licensing Information

KorFin-ASC is licensed under the terms of the cc-by-sa-4.0



Please cite this data using: 



### Contributions

Thanks to @Albertmade, @amphora for making this dataset.
# Dataset Card for KorFin-ABSA ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description ### Dataset Summary

The KorFin-ASC is an extension of KorFin-ABSA including 8818 samples with (aspect, polarity) pairs annotated. 
The samples were collected from KLUE-TC and 
analyst reports from Naver Finance. 
Annotation of the dataset is described in the paper Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance. ### Supported Tasks and Leaderboards

This dataset supports the following tasks:

* Aspect-Based Sentiment Classification ### Languages

Korean ## Dataset Structure ### Data Instances

Each instance consists of a single sentence, aspect, and corresponding polarity (POSITIVE/NEGATIVE/NEUTRAL). ### Data Fields

* title: 
* aspect: 
* sentiment: 
* url: 
* annotator_id: 
* url: ### Data Splits

The dataset currently does not contain standard data splits. ## Additional Information

You can download the data via:
 
Please find more information about the code and how the data was collected in the paper Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance.
The best-performing model on this dataset can be found at link. ### Licensing Information

KorFin-ASC is licensed under the terms of the cc-by-sa-4.0



Please cite this data using: ### Contributions

Thanks to @Albertmade, @amphora for making this dataset.
TAGS
#task_categories-text-classification #task_ids-topic-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-klue #language-Korean #license-cc-by-sa-4.0 #sentiment analysis #aspect based sentiment analysis #finance #arxiv-2301.03136 #region-us 
 # Dataset Card for KorFin-ABSA ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description ### Dataset Summary

The KorFin-ASC is an extension of KorFin-ABSA including 8818 samples with (aspect, polarity) pairs annotated. 
The samples were collected from KLUE-TC and 
analyst reports from Naver Finance. 
Annotation of the dataset is described in the paper Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance. ### Supported Tasks and Leaderboards

This dataset supports the following tasks:

* Aspect-Based Sentiment Classification ### Languages

Korean ## Dataset Structure ### Data Instances

Each instance consists of a single sentence, aspect, and corresponding polarity (POSITIVE/NEGATIVE/NEUTRAL). ### Data Fields

* title: 
* aspect: 
* sentiment: 
* url: 
* annotator_id: 
* url: ### Data Splits

The dataset currently does not contain standard data splits. ## Additional Information

You can download the data via:
 
Please find more information about the code and how the data was collected in the paper Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance.
The best-performing model on this dataset can be found at link. ### Licensing Information

KorFin-ASC is licensed under the terms of the cc-by-sa-4.0



Please cite this data using: ### Contributions

Thanks to @Albertmade, @amphora for making this dataset.
passage: TAGS
#task_categories-text-classification #task_ids-topic-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-klue #language-Korean #license-cc-by-sa-4.0 #sentiment analysis #aspect based sentiment analysis #finance #arxiv-2301.03136 #region-us 
# Dataset Card for KorFin-ABSA## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions## Dataset Description### Dataset Summary

The KorFin-ASC is an extension of KorFin-ABSA including 8818 samples with (aspect, polarity) pairs annotated. 
The samples were collected from KLUE-TC and 
analyst reports from Naver Finance. 
Annotation of the dataset is described in the paper Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance.### Supported Tasks and Leaderboards

This dataset supports the following tasks:

* Aspect-Based Sentiment Classification### Languages

Korean## Dataset Structure### Data Instances

Each instance consists of a single sentence, aspect, and corresponding polarity (POSITIVE/NEGATIVE/NEUTRAL).### Data Fields

* title: 
* aspect: 
* sentiment: 
* url: 
* annotator_id: 
* url:### Data Splits

The dataset currently does not contain standard data splits.