README.md

---
license: mit
task_categories:
- text-classification
language:
- en
tags:
- gender-classification
- synthetic
- distillation
- c4
size_categories:
- 10K<n<100K
---

# Gender Classification Dataset (English)

## Dataset Description
This dataset contains 30000 text samples labeled for the gender of the grammatical subject. 
It was generated using a **Teacher-Student distillation** process.

- **Repository:** [IsGarrido/gender-classifier-dataset-en](https://huggingface.co/IsGarrido/gender-classifier-dataset-en)
- **Language:** English
- **Labels:** `male`, `female`, `neutral`

## Creation Process
1.  **Source:** Sentences were streamed from the `allenai/c4` (Colossal Clean Crawled Corpus) dataset.
2.  **Filtering:** Sentences between 50-200 characters were selected.
3.  **Labeling (Teacher):** A local LLM (`mistralai/magistral-small-2509`) running via LM Studio analyzed each sentence.
4.  **Prompt:** "Analyze the following sentence and identify the gender of the SUBJECT... Return ONLY one word: 'Male', 'Female', or 'Neutral'."
5.  **Balancing:** The dataset generation was strictly controlled to ensure an even 33/33/33 split between classes.

## Data Structure
- `text`: The sentence (string).
- `label`: The gender class (string: "male", "female", "neutral").

## Usage
```python
from datasets import load_dataset

dataset = load_dataset("IsGarrido/gender-classifier-dataset-en")
print(dataset["train"][0])
```