---
license: cc-by-4.0
language:
- en
pretty_name: SP500 Tone Dataset
tags:
- financial
- sentiment-analysis
- regression
---

# SP500 Tone Dataset

## Dataset summary

The SP500 Tone Dataset contains tone dispersion metrics extracted from earnings calls of S&P 500 companies. Each record represents a quarterly earnings call, capturing the variability in tone and sentiment expressed during the call. This dataset is useful for financial sentiment analysis, market prediction models, and studies on executive communication strategies.

## Supported tasks

- Regression (predicting tone dispersion)

## Languages

- English

## Dataset structure

| Field           | Type    | Description                                      |
|-----------------|---------|--------------------------------------------------|
| symbol          | string  | Stock ticker symbol for the company              |
| company_id      | int64   | Unique identifier for the company                |
| year            | int64   | Year of the earnings call                        |
| quarter         | int64   | Quarter of the earnings call (1-4)               |
| date            | string  | Date of the earnings call                        |
| tone_dispersion | float64 | Measure of variability in tone during the call   |
| call_key        | string  | Unique identifier for the specific earnings call |

## Splits

This dataset has a single split:
- train: All records of tone dispersion metrics

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("kurrytran/sp500_tone_dataset")

data = dataset["train"]

# Example: Compute average tone dispersion by year
from collections import defaultdict
avg_tone_by_year = defaultdict(lambda: {"total": 0, "count": 0})
for item in data:
    year = item["year"]
    avg_tone_by_year[year]["total"] += item["tone_dispersion"]
    avg_tone_by_year[year]["count"] += 1

for year, values in sorted(avg_tone_by_year.items()):
    print(f"Year {year}: Average tone dispersion = {values['total'] / values['count']:.4f}")
```

## Citation

If you use this dataset in your research, please cite it as follows:

```bibtex
@dataset{sp500_tone_dataset,
  author    = {kurrytran},
  title     = {SP500 Tone Dataset},
  year      = {2025},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/kurrytran/sp500_tone_dataset}
}
```

## License

This dataset is licensed under CC BY 4.0. For more details, see https://creativecommons.org/licenses/by/4.0/.