DataMuncher-Labs/ToxicMessages

---
license: cc-by-sa-4.0
task_categories:
- text-classification
language:
- en
tags:
- langauge
- EN
- en
- English
- english
- toxic
pretty_name: TM120
size_categories:
- 100M<n<1B
---
# **APROX ~1.44B tokens**

# Dataset Card for TM120
## Dataset Details
### Dataset Description

It is a synthetically generated database of ranked toxic messages.

- **Curated by:** [Roman]
- **Funded by [Free]:** [Legit done for free]
- **Shared by [Roman]:**
- **Language(s) (NLP):** [English is the only langauge]
- **License:** [Creative Commons Attribution Share Alike 4.0]

### Dataset Sources [optional]

- **Demo [TBF]:** [Currently in a training loop lol]

## Uses
### Direct Use

[The dataset is meant for sentence flassification and token classification]

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

[The data is not very good for training text generation models.]
[Do not use this data to train more toxic models.]

## Dataset Structure

[Message (string) | toxicity (float)]
eg
**I appreciate your help with this project. | 0.2808**

## Dataset Creation
### Curation Rationale

[I wanted to make an ai for detecting toxicity, but there was a clear lack of data.]

### Source Data

#### Data Collection and Processing

[Synthetically generated via python scripting]

#### Who are the source data producers?

[Scripted in python]

#### Personal and Sensitive Information

[Since the data is synthetically generated, it contains no Personal or Sensitive information.]

## Bias, Risks, and Limitations

[Any model which has been trained on this is not representative of the data it was trained on.]
[The risks being since its synthetic data, it is not 100% representitive of real toxicity.]
[The limitations being accuracy to real toxicity.]

### Recommendations
## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

@dataset{DataMuncherLabs_ToxicMessages,
author = {{DataMuncher-Labs}},
title = {ToxicMessages},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/DataMuncher-Labs/ToxicMessages},
note = {Dataset for toxicity regression and classification}
}

**APA:**

[DataMuncher-Labs. (2025). ToxicMessages [Dataset]. Hugging Face. https://huggingface.co/datasets/DataMuncher-Labs/ToxicMessages]

## Dataset Card Authors [optional]

[Roman]

## Dataset Card Contact

Email me at [[e-mail]] for anyquestions you have
Please do not spam my inbox
Thank you in advance