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README.md

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----
-license: cc-by-nc-sa-4.0
----
+---
+language: en
+license: cc-by-nc-sa-4.0
+tags:
+  - privacy
+  - web-tracking
+  - tracker-detection
+  - tabular-classification
+  - browser-fingerprinting
+  - duckduckgo
+  - tracker-radar
+size_categories:
+  - 10K<n<100K
+task_categories:
+  - tabular-classification
+---
+
+# Tracker Radar ML Dataset
+
+An ML-ready tabular dataset of 16,165 third-party web domains labeled as
+tracking or non-tracking, with 295 behavioral and metadata features
+extracted from DuckDuckGo's open-source Tracker Radar.
+
+## Dataset Description
+
+Each row represents a third-party domain observed on popular websites
+during DuckDuckGo's Tracker Radar crawl (US region). Features capture
+how the domain behaves: which browser APIs its scripts call, whether it
+sets cookies, how prevalent it is across the web, and metadata about
+the entity that owns it.
+
+## Label Construction
+
+Labels are derived from multiple independent sources:
+
+- **Tracking (1)**: Domain has a tracking category in Tracker Radar
+  (Advertising, Analytics, Audience Measurement, etc.) or appears in
+  the EasyPrivacy filter list
+- **Non-tracking (0)**: Domain has only functional categories (CDN,
+  Embedded Content, Online Payment) or is uncategorized with no API
+  usage and negligible cookie prevalence
+
+5,863 ambiguous domains were excluded from the labeled set.
+
+Labels are independent of the fingerprinting heuristic score (0-3),
+which is included as a column but was not used for labeling. This
+allows the dataset to be used for evaluating ML models against the
+heuristic baseline.
+
+## Features (295 total)
+
+| Group | Count | Description |
+|-------|-------|-------------|
+| Domain metadata | 9 | Prevalence, site count, subdomain count, owner info, resource types |
+| Cookie behavior | 4 | Cookie prevalence, TTL, first-party cookies set and sent |
+| API binary | 131 | Whether any resource on the domain uses each browser API |
+| API counts | 131 | Raw call counts per API aggregated across resources |
+| API aggregates | 20 | Summary stats of API weights, category-level counts (canvas, audio, navigator, etc.) |
+
+## Key Columns
+
+- `domain`: The third-party domain name
+- `label`: 0 (non-tracking) or 1 (tracking)
+- `label_source`: Which source(s) determined the label
+- `fingerprinting_score`: DuckDuckGo's heuristic score (0-3), included for comparison but not used in labeling
+- `prevalence`: Fraction of top sites that request this domain
+- `weighted_fp_score`: Sum of API fingerprint weights for APIs this domain uses
+
+## Class Distribution
+
+| Label | Count | Percentage |
+|-------|-------|------------|
+| Non-tracking (0) | 10,356 | 64.1% |
+| Tracking (1) | 5,809 | 35.9% |
+
+## Usage
+```python
+from datasets import load_dataset
+
+ds = load_dataset("olafurjohannsson/tracker-radar-ml")
+train = ds["train"]
+test = ds["test"]
+
+# Get features and labels
+import pandas as pd
+df = train.to_pandas()
+print(df["label"].value_counts())
+print(df.columns.tolist()[:20])
+```
+
+## Source Data
+
+Derived from [DuckDuckGo Tracker Radar](https://github.com/duckduckgo/tracker-radar)
+(CC-BY-NC-SA 4.0) with additional labels from
+[EasyPrivacy](https://easylist.to/easylist/easyprivacy.txt).
+
+## Source Code
+
+Feature extraction, labeling, and training scripts:
+[github.com/olafurjohannsson/tracker-ml](https://github.com/olafurjohannsson/tracker-ml)
+
+## Limitations
+
+- Point-in-time snapshot (US region only)
+- Labels depend on Tracker Radar categories and EasyPrivacy, both of
+  which have known limitations and edge cases
+- Some domains (e.g., consent management platforms) are debatable
+- Does not include raw JavaScript source code, only aggregate behavioral metadata