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README.md

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+---
+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](https://huggingface.co/datasets/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
+
+1. **Source**: [sraj/finewebedu-climate-v2](https://huggingface.co/datasets/sraj/finewebedu-climate-v2) (pre-filtered FineWeb-Edu)
+2. **Classifier**: FastText supervised model trained on 10K GPT-labeled samples
+3. **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
+
+```python
+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