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--- |
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license: mit |
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dataset_info: |
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- config_name: 100_tos |
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features: |
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- name: document |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 5240826 |
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num_examples: 92 |
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download_size: 2497746 |
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dataset_size: 5240826 |
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- config_name: 10_tos |
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features: |
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- name: document |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 1920213 |
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num_examples: 20 |
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download_size: 718890 |
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dataset_size: 1920213 |
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- config_name: 142_tos |
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features: |
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- name: document |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 12968483 |
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num_examples: 140 |
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download_size: 4884205 |
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dataset_size: 12968483 |
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- config_name: cuad |
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features: |
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- name: document |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 1180620 |
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num_examples: 28 |
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download_size: 484787 |
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dataset_size: 1180620 |
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- config_name: memnet_tos |
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features: |
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- name: document |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 5607746 |
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num_examples: 100 |
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download_size: 2012157 |
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dataset_size: 5607746 |
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- config_name: multilingual_unfair_clause |
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features: |
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- name: document |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 22775210 |
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num_examples: 200 |
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download_size: 9557263 |
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dataset_size: 22775210 |
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- config_name: polisis |
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features: |
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- name: document |
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dtype: string |
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- name: train |
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num_examples: 4570 |
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- name: validation |
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num_examples: 1153 |
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- name: test |
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num_bytes: 967678 |
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num_examples: 1446 |
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download_size: 1827549 |
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dataset_size: 4907977 |
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- config_name: privacy_glue__piextract |
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features: |
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- name: document |
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dtype: string |
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splits: |
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- name: validation |
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num_examples: 4116 |
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- name: train |
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num_bytes: 18497078 |
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num_examples: 12140 |
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download_size: 5707087 |
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dataset_size: 25604012 |
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- config_name: privacy_glue__policy_detection |
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features: |
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- name: document |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 13657226 |
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num_examples: 1301 |
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download_size: 6937382 |
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dataset_size: 13657226 |
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- config_name: privacy_glue__policy_ie |
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features: |
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- name: type_i |
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dtype: string |
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- name: type_ii |
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dtype: string |
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splits: |
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- name: test |
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num_bytes: 645788 |
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num_examples: 6 |
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- name: train |
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num_bytes: 2707213 |
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num_examples: 25 |
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download_size: 1097051 |
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dataset_size: 3353001 |
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- config_name: privacy_glue__policy_qa |
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features: |
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- name: document |
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dtype: string |
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splits: |
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- name: test |
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num_bytes: 1353787 |
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num_examples: 20 |
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- name: dev |
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num_bytes: 1230490 |
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num_examples: 20 |
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- name: train |
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num_bytes: 5441319 |
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num_examples: 75 |
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download_size: 2418472 |
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dataset_size: 8025596 |
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- config_name: privacy_glue__polisis |
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features: |
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- name: document |
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dtype: string |
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splits: |
|
- name: train |
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num_bytes: 3073878 |
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num_examples: 4570 |
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- name: validation |
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num_bytes: 786299 |
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num_examples: 1153 |
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- name: test |
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num_bytes: 947434 |
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num_examples: 1446 |
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download_size: 1816140 |
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dataset_size: 4807611 |
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- config_name: privacy_glue__privacy_qa |
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features: |
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- name: document |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 12099109 |
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num_examples: 27 |
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- name: test |
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num_bytes: 4468753 |
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num_examples: 8 |
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download_size: 1221943 |
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dataset_size: 16567862 |
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configs: |
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- config_name: 100_tos |
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data_files: |
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- split: train |
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path: 100_tos/train-* |
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- config_name: 10_tos |
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data_files: |
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- split: train |
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path: 10_tos/train-* |
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- config_name: 142_tos |
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data_files: |
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- split: train |
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path: 142_tos/train-* |
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- config_name: cuad |
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data_files: |
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- split: train |
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path: cuad/train-* |
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- config_name: memnet_tos |
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data_files: |
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- split: train |
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path: memnet_tos/train-* |
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- config_name: multilingual_unfair_clause |
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data_files: |
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- split: train |
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path: multilingual_unfair_clause/train-* |
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- config_name: polisis |
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data_files: |
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- split: train |
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path: privacy_glue/polisis/train-* |
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- split: validation |
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path: privacy_glue/polisis/validation-* |
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- split: test |
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path: privacy_glue/polisis/test-* |
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- config_name: privacy_glue__piextract |
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data_files: |
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- split: validation |
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path: privacy_glue/piextract/validation-* |
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- split: train |
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path: privacy_glue/piextract/train-* |
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- config_name: privacy_glue__policy_detection |
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data_files: |
|
- split: train |
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path: privacy_glue/policy_detection/train-* |
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- config_name: privacy_glue__policy_ie |
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data_files: |
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- split: test |
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path: privacy_glue/policy_ie/test-* |
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- split: train |
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path: privacy_glue/policy_ie/train-* |
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- config_name: privacy_glue__policy_qa |
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data_files: |
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- split: test |
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path: privacy_glue/policy_qa/test-* |
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- split: dev |
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path: privacy_glue/policy_qa/dev-* |
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- split: train |
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path: privacy_glue/policy_qa/train-* |
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- config_name: privacy_glue__polisis |
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data_files: |
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- split: train |
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path: privacy_glue/polisis/train-* |
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- split: validation |
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path: privacy_glue/polisis/validation-* |
|
- split: test |
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path: privacy_glue/polisis/test-* |
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- config_name: privacy_glue__privacy_qa |
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data_files: |
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- split: train |
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path: privacy_glue/privacy_qa/train-* |
|
- split: test |
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path: privacy_glue/privacy_qa/test-* |
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--- |
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# A collection of Terms of Service or Privacy Policy datasets |
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## Annotated datasets |
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### CUAD |
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Specifically, the 28 service agreements from [CUAD](https://www.atticusprojectai.org/cuad), which are licensed under CC BY 4.0 (subset: `cuad`). |
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<details> |
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<summary>Code</summary> |
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```python |
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import datasets |
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from tos_datasets.proto import DocumentQA |
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ds = datasets.load_dataset("chenghao/tos_pp_dataset", "cuad") |
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print(DocumentQA.model_validate_json(ds["document"][0])) |
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``` |
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</details> |
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### 100 ToS |
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From [Annotated 100 ToS](https://data.mendeley.com/datasets/dtbj87j937/3), CC BY 4.0 (subset: `100_tos`). |
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<details> |
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<summary>Code</summary> |
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```python |
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import datasets |
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from tos_datasets.proto import DocumentEUConsumerLawAnnotation |
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ds = datasets.load_dataset("chenghao/tos_pp_dataset", "100_tos") |
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print(DocumentEUConsumerLawAnnotation.model_validate_json(ds["document"][0])) |
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``` |
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</details> |
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### Multilingual Unfair Clause |
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From [CLAUDETTE](http://claudette.eui.eu/corpora/index.html)/[Multilingual Unfair Clause](https://github.com/nlp-unibo/Multilingual-Unfair-Clause-Detection), CC BY 4.0 (subset: `multilingual_unfair_clause`). |
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It was built from [CLAUDETTE](http://claudette.eui.eu/corpora/index.html)/[25 Terms of Service in English, Italian, German, and Polish (100 documents in total) from A Corpus for Multilingual Analysis of Online Terms of Service](http://claudette.eui.eu/corpus_multilingual_NLLP2021.zip). |
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<details> |
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<summary>Code</summary> |
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```python |
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import datasets |
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from tos_datasets.proto import DocumentClassification |
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ds = datasets.load_dataset("chenghao/tos_pp_dataset", "multilingual_unfair_clause") |
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print(DocumentClassification.model_validate_json(ds["document"][0])) |
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``` |
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</details> |
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### Memnet ToS |
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From [100 Terms of Service in English from Detecting and explaining unfairness in consumer contracts through memory networks](https://github.com/federicoruggeri/Memnet_ToS), MIT (subset: `memnet_tos`). |
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<details> |
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<summary>Code</summary> |
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```python |
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import datasets |
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from tos_datasets.proto import DocumentClassification |
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ds = datasets.load_dataset("chenghao/tos_pp_dataset", "memnet_tos") |
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print(DocumentClassification.model_validate_json(ds["document"][0])) |
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``` |
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</details> |
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### 142 ToS |
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From [142 Terms of Service in English divided according to market sector from Assessing the Cross-Market Generalization Capability of the CLAUDETTE System](http://claudette.eui.eu/corpus_142_ToS.zip), Unknown (subset: `142_tos`). This should also includes [50 Terms of Service in English from "CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service"](http://claudette.eui.eu/ToS.zip). |
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<details> |
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<summary>Code</summary> |
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```python |
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import datasets |
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from tos_datasets.proto import DocumentClassification |
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ds = datasets.load_dataset("chenghao/tos_pp_dataset", "142_tos") |
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print(DocumentClassification.model_validate_json(ds["document"][0])) |
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``` |
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</details> |
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### 10 ToS/PP |
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From [5 Terms of Service and 5 Privacy Policies in English and German (10 documents in total) from Cross-lingual Annotation Projection in Legal Texts](https://bitbucket.org/a-galaxy/cross-lingual-annotation-projection-in-legal-texts), GNU GPL 3.0 (subset: `10_tos`) |
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<details> |
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<summary>Code</summary> |
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```python |
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import datasets |
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from tos_datasets.proto import DocumentClassification |
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ds = datasets.load_dataset("chenghao/tos_pp_dataset", "10_tos") |
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print(DocumentClassification.model_validate_json(ds["document"][0])) |
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``` |
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</details> |
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### PolicyQA |
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> [!IMPORTANT] |
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> This dataset seems to have some annotation issues where __unanswerable__ questions are still answered with SQuAD-v1 format instead of the v2 format. |
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From [PolicyQA](https://github.com/wasiahmad/PolicyQA), MIT (subset: `privacy_glue/policy_qa`). |
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<details> |
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<summary>Code</summary> |
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```python |
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import datasets |
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from tos_datasets.proto import DocumentQA |
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ds = datasets.load_dataset("chenghao/tos_pp_dataset", "privacy_glue/policy_qa") |
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print(DocumentQA.model_validate_json(ds["train"]["document"][0])) |
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``` |
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</details> |
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### PolicyIE |
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From [PolicyIE](https://github.com/wasiahmad/PolicyIE), MIT (subset: `privacy_glue/policy_ie`). |
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<details> |
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<summary>Code</summary> |
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```python |
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import datasets |
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from tos_datasets.proto import DocumentSequenceClassification, DocumentEvent |
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ds = datasets.load_dataset("chenghao/tos_pp_dataset", "privacy_glue/policy_ie") |
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print(DocumentSequenceClassification.model_validate_json(ds["train"]["type_i"][0])) |
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print(DocumentEvent.model_validate_json(ds["train"]["type_ii"][0])) |
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``` |
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</details> |
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### Policy Detection |
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From [policy-detection-data](<https://github.com/infsys-lab/policy-detection-data>, GPL 3.0 (subset: `privacy_glue/policy_detection`). |
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<details> |
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<summary>Code</summary> |
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```python |
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import datasets |
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from tos_datasets.proto import DocumentClassification |
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ds = datasets.load_dataset("chenghao/tos_pp_dataset", "privacy_glue/policy_detection") |
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print(DocumentClassification.model_validate_json(ds["train"]["document"][0])) |
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``` |
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</details> |
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### Polisis |
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From [Polisis](https://github.com/SmartDataAnalytics/Polisis_Benchmark), Unknown (subset: `privacy_glue/polisis`). |
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<details> |
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<summary>Code</summary> |
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```python |
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import datasets |
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from tos_datasets.proto import DocumentClassification |
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ds = datasets.load_dataset("chenghao/tos_pp_dataset", "privacy_glue/polisis") |
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print(DocumentClassification.model_validate_json(ds["test"]["document"][0])) |
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``` |
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</details> |
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### PrivacyQA |
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From [PrivacyQA](https://github.com/AbhilashaRavichander/PrivacyQA_EMNLP), MIT (subset: `privacy_qa`). |
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<details> |
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<summary>Code</summary> |
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```python |
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import datasets |
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from tos_datasets.proto import DocumentClassification |
|
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ds = datasets.load_dataset("chenghao/tos_pp_dataset", "privacy_glue/privacy_qa") |
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print(DocumentClassification.model_validate_json(ds["test"]["document"][0])) |
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``` |
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</details> |
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### Piextract |
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From [Piextract](https://github.com/um-rtcl/piextract_dataset), Unknown (subset: `privacy_glue/piextract`). |
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<details> |
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<summary>Code</summary> |
|
|
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```python |
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import datasets |
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from tos_datasets.proto import DocumentSequenceClassification |
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ds = datasets.load_dataset("chenghao/tos_pp_dataset", "privacy_glue/piextract") |
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print(DocumentSequenceClassification.model_validate_json(ds["train"]["document"][0])) |
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``` |
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</details> |
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## WIP |
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|
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- <del>[Annotated Italian TOS sentences](https://github.com/i3-fbk/LLM-PE_Terms_and_Conditions_Contracts), Apache 2.0</del> Only sentence level annotations, missing original full text |
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- <del>[Huggingface](https://huggingface.co/datasets/CodeHima/TOS_Dataset), MIT</del> Only sentence level annotations, missing original full text |
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- [ ] [ToSDR API](https://developers.tosdr.org/dev/get-service-v2), Unknown |
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|
