p988744/eland-sentiment-zh-data

Eland Sentiment Chinese Financial Dataset

A Chinese financial sentiment analysis dataset for Taiwan stock market text.

Dataset Description

This dataset contains 1,299 annotated samples of Chinese financial text from Taiwan stock market forums and news. It supports three sentiment analysis tasks:

1. Overall Sentiment - Classify the overall sentiment of the text
2. Entity Sentiment - Classify sentiment towards specific entities (companies, products)
3. Opinion Sentiment - Classify sentiment of specific opinions in text

Dataset Statistics

Split	Samples
Train	999
Test	300
Total	1,299

Task Distribution

Task	Train	Test
Overall Sentiment	333	100
Entity Sentiment	333	100
Opinion Sentiment	333	100

Sentiment Distribution (Train)

Sentiment	Count	Percentage
Positive (正面)	434	43.4%
Neutral (中立)	350	35.0%
Negative (負面)	215	21.5%

Data Format

Each sample is a JSON object with the following fields:

Overall Sentiment Task

{
  "text": "台積電今日股價大漲...",
  "overall": "正面",
  "task": "overall",
  "source": "forum_01"
}

Entity Sentiment Task

{
  "text": "台積電今日股價大漲...",
  "overall": "正面",
  "entity": "台積電",
  "entity_sentiment": "正面",
  "task": "entity",
  "source": "forum_01"
}

Opinion Sentiment Task

{
  "text": "台積電今日股價大漲...",
  "overall": "正面",
  "opinion": "股價上漲代表市場看好",
  "opinion_sentiment": "正面",
  "agrees_with_text": true,
  "task": "opinion",
  "source": "forum_01"
}

Labels

• 正面 (Positive)
• 中立 (Neutral)
• 負面 (Negative)

Usage

Load with Datasets Library

from datasets import load_dataset

dataset = load_dataset("p988744/eland-sentiment-zh-data")

# Access splits
train_data = dataset["train"]
test_data = dataset["test"]

# Example
print(train_data[0])

Load Manually

import json

with open("train.jsonl", "r", encoding="utf-8") as f:
    train_data = [json.loads(line) for line in f]

Associated Model

This dataset was used to train p988744/eland-sentiment-zh, which achieves 89.38% Reliability on the RGL benchmark.

License

Apache 2.0

Citation

@misc{eland-sentiment-zh-data,
  author = {Eland AI},
  title = {Eland Sentiment: Chinese Financial Sentiment Dataset},
  year = {2025},
  publisher = {HuggingFace},
  url = {https://huggingface.co/datasets/p988744/eland-sentiment-zh-data}
}