Update README.md

README.md

@@ -1,3 +1,48 @@
----
-license: odc-by
----
+---
+language:
+- en
+pretty_name: "Text Quality Dataset"
+tags:
+- text-quality
+- classification
+license: odc-by
+task_categories:
+- text-classification
+---
+
+# Text Quality Dataset
+
+## Overview
+This dataset contains **100,000 rows** sampled from the `allenai/c4` English split, annotated with various text quality classifiers.
+
+## Methods
+
+### FastText-based classifiers
+The classifiers output probabilities converted to logits log(p). The **quality score** is computed as the difference of logits between the high-quality and low-quality classes.
+
+- [ibm-granite/GneissWeb.Quality_annotator](https://huggingface.co/ibm-granite/GneissWeb.Quality_annotator)
+- [openbmb/Ultra-FineWeb-classifier](https://huggingface.co/openbmb/Ultra-FineWeb-classifier)
+
+### Transformers-based classifiers
+- [HuggingFaceFW/fineweb-edu-classifier](https://huggingface.co/HuggingFaceFW/fineweb-edu-classifier): raw logits
+- [nvidia/quality-classifier-deberta](https://huggingface.co/nvidia/quality-classifier-deberta): difference of logits (high - low)
+
+### Overall score computation
+- Scores from all classifiers were centered and scaled.
+- Principal Components Analysis (PCA) was applied.
+- The **first principal component (PC1)** is taken as the overall quality score.
+
+For convenience, the dataset is split into an **80% training set** and a **20% testing set**.
+
+## Results
+
+![Scatterplot of quality scores from different classifiers](Scatterplot.svg)
+
+- The **lower triangle** shows pairwise density plots of classifier scores.
+- The **diagonal** presents the distribution of each classifier's scores.
+- The **upper triangle** displays correlations between pairs of classifiers.
+
+The classifiers' scores show moderate to strong correlations, except for the Nvidia classifier, which is less correlated. The PC1 correlates well with each individual classifier's quality score.
+
+## License
+This dataset is licensed under the **[Open Data Commons Attribution License (ODC-BY)](https://opendatacommons.org/licenses/by/)**.