toolevalxm/SentimentPro-Dataset

SentimentPro Dataset

---

1. Introduction

SentimentPro is a comprehensive multilingual sentiment analysis dataset designed for training and evaluating sentiment classification models. The dataset includes labeled examples from multiple domains including social media, product reviews, and news articles.

The dataset was curated using advanced filtering techniques to ensure high quality annotations. Each example has been validated by at least 3 independent annotators with high inter-annotator agreement scores.

This release includes multiple data splits with varying quality characteristics to support research in data quality assessment and curriculum learning.

2. Quality Metrics

Comprehensive Quality Assessment

	Quality Metric	Split_v1	Split_v3	Split_v5	SentimentPro-Best
Data Integrity	Completeness	0.820	0.855	0.870	0.907
	Consistency	0.785	0.812	0.835	0.892
	Accuracy	0.910	0.925	0.940	0.977
Temporal Quality	Timeliness	0.750	0.780	0.805	0.868
	Uniqueness	0.890	0.915	0.930	0.968
	Validity	0.865	0.880	0.900	0.950
Content Quality	Coverage	0.720	0.755	0.780	0.843
	Diversity	0.695	0.730	0.760	0.835
	Relevance	0.840	0.865	0.885	0.935
	Balance	0.775	0.805	0.830	0.892
Technical Quality	Noise Level	0.680	0.720	0.755	0.843
	Label Quality	0.905	0.920	0.935	0.973
	Text Quality	0.830	0.855	0.875	0.925
	Format Compliance	0.945	0.960	0.970	0.995
	Schema Validation	0.990	0.992	0.995	0.999

Overall Quality Summary

The SentimentPro dataset demonstrates high quality across all evaluated dimensions, with particularly strong results in label accuracy and format compliance.

3. Dataset Structure

data/
├── train.jsonl      # Training examples
├── validation.jsonl # Validation examples
└── test.jsonl       # Test examples (labels withheld)

Each example follows this schema:

{
    "id": "unique_identifier",
    "text": "The input text content",
    "label": "positive|negative|neutral",
    "domain": "social_media|reviews|news",
    "language": "en|es|fr|de|zh"
}

4. Usage

from datasets import load_dataset

dataset = load_dataset("username/SentimentPro-Dataset")

5. License

This dataset is licensed under the Apache 2.0 License.

6. Contact

For questions or issues, please open an issue in this repository or contact data@sentimentpro.ai.