Datasets:

Michaelyya
/

fineweb-edu-v2-FastT

language:
  - en
license: mit
size_categories:
  - 100K<n<1M
task_categories:
  - text-classification
tags:
  - climate
  - environment
  - fasttext
  - fineweb-edu
  - filtered
dataset_info:
  features:
    - name: text
      dtype: string
    - name: id
      dtype: string
    - name: url
      dtype: string
    - name: climate_prob
      dtype: float64
    - name: source
      dtype: string
pretty_name: FineWeb-Edu v2 Climate FastText Filtered

FineWeb-Edu v2 - FastText Climate Filtered

A climate and environment-focused subset of sraj/finewebedu-climate-v2, further filtered using a trained FastText binary classifier.

Overview

This dataset applies a supervised FastText climate classifier to the FineWeb-Edu climate v2 dataset. Each record includes a climate probability score from the classifier, providing a confidence measure for climate relevance.

Pipeline

Source: sraj/finewebedu-climate-v2 (pre-filtered FineWeb-Edu)
Classifier: FastText supervised model trained on 10K GPT-labeled samples
Threshold: Records with climate_prob >= 0.5 are included

Fields

Field	Type	Description
text	string	The document text
id	string	Original document ID
url	string	Source URL
climate_prob	float	FastText classifier probability (0-1)
source	string	Source dataset identifier

Usage

from datasets import load_dataset

dataset = load_dataset("Michaelyya/fineweb-edu-v2-FastT")

Model Details

Architecture: FastText supervised classifier
Training: 10,000 samples labeled via GPT weak supervision
Labels: Binary classification (climate vs. other)
Hyperparameters: lr=0.5, epochs=25, wordNgrams=2, dim=100

License

MIT