opp115_do_not_track
- Task Description: Classify if a clause from a privacy policy describes if and how Do Not Track signals for online tracking and advertising are honored.
- Task Type: Binary classification
- Document Type: privacy policy
- Number of Samples: 118
- Input Length Range: 12-335 tokens
- Evaluation Metrics: accuracy (maximize), balanced_accuracy (maximize), f1_macro (maximize), f1_micro (maximize), valid_predictions_ratio (maximize)
- Tags: interpretation, privacy law
- Paper: LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
- Dataset Download: https://hazyresearch.stanford.edu/legalbench/
7 submissions
| Rank | Model | accuracy | balanced_accuracy | f1_macro | f1_micro | valid_predictions_ratio | Date | Results |
|---|---|---|---|---|---|---|---|---|
| 1 | meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo | 0.972 | 0.971 | 0.972 | 0.972 | 0.964 | 2025-08-03 | View |
| 2 | meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo | 0.964 | 0.964 | 0.964 | 0.964 | 1.000 | 2025-07-25 | View |
| 3 | gpt-4o-mini | 0.945 | 0.945 | 0.945 | 0.945 | 1.000 | 2025-07-02 | View |
| 4 | claude-3-5-haiku-20241022 | 0.773 | 0.773 | 0.764 | 0.773 | 1.000 | 2025-08-01 | View |
| 5 | gpt-4.1-nano | 0.500 | 0.500 | 0.333 | 0.500 | 1.000 | 2025-07-03 | View |
| 6 | google/gemma-2-27b-it | 0.500 | 0.500 | 0.333 | 0.500 | 1.000 | 2025-07-24 | View |
| 7 | claude-3-haiku-20240307 | 0.333 | 0.500 | 0.250 | 0.333 | 0.027 | 2025-07-25 | View |