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--- |
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dataset_info: |
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- config_name: fine-tuning |
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features: |
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- name: file_name |
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dtype: string |
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- name: file_path |
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dtype: string |
|
- name: content |
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dtype: string |
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- name: file_size |
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dtype: int64 |
|
- name: language |
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dtype: string |
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- name: extension |
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dtype: string |
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- name: repo_name |
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dtype: string |
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- name: repo_stars |
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dtype: int64 |
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- name: repo_forks |
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dtype: int64 |
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- name: repo_open_issues |
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dtype: int64 |
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- name: repo_created_at |
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dtype: string |
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- name: repo_pushed_at |
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dtype: string |
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- name: sha |
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dtype: string |
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- name: near_dups_stkv2_idx |
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sequence: int64 |
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- name: input_ids |
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sequence: int32 |
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- name: attention_mask |
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sequence: |
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sequence: int8 |
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- name: n_tok |
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dtype: int64 |
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- name: sample |
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sequence: int32 |
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- name: hash |
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dtype: int64 |
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- name: uniques_1 |
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dtype: bool |
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- name: uniques_2 |
|
dtype: bool |
|
- name: uniques_3 |
|
dtype: bool |
|
- name: uniques_g3 |
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dtype: bool |
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- name: sample_query |
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sequence: int32 |
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- name: hash_sq |
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dtype: int64 |
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- name: uniques |
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dtype: bool |
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- name: prefix_250 |
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dtype: string |
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- name: prefix_200 |
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dtype: string |
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- name: prefix_150 |
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dtype: string |
|
- name: prefix_100 |
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dtype: string |
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- name: suffix |
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dtype: string |
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splits: |
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- name: d1 |
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num_bytes: 19115683 |
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num_examples: 1000 |
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- name: d2 |
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num_bytes: 27505874 |
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num_examples: 1000 |
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- name: d3 |
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num_bytes: 23302451 |
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num_examples: 1000 |
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- name: dg3 |
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num_bytes: 17600353 |
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num_examples: 1000 |
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download_size: 13691547 |
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dataset_size: 87524361 |
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- config_name: pre-train |
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features: |
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- name: blob_id |
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dtype: string |
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- name: directory_id |
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dtype: string |
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- name: path |
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dtype: string |
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- name: content_id |
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dtype: string |
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- name: detected_licenses |
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sequence: string |
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- name: license_type |
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dtype: string |
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- name: repo_name |
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dtype: string |
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- name: snapshot_id |
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dtype: string |
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- name: revision_id |
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dtype: string |
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- name: branch_name |
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dtype: string |
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- name: visit_date |
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dtype: timestamp[ns] |
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- name: revision_date |
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dtype: timestamp[ns] |
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- name: committer_date |
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dtype: timestamp[ns] |
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- name: github_id |
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dtype: float64 |
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- name: star_events_count |
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dtype: int64 |
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- name: fork_events_count |
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dtype: int64 |
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- name: gha_license_id |
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dtype: string |
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- name: gha_event_created_at |
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dtype: timestamp[ns] |
|
- name: gha_created_at |
|
dtype: timestamp[ns] |
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- name: gha_language |
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dtype: string |
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- name: src_encoding |
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dtype: string |
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- name: language |
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dtype: string |
|
- name: is_vendor |
|
dtype: bool |
|
- name: is_generated |
|
dtype: bool |
|
- name: length_bytes |
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dtype: int64 |
|
- name: extension |
|
dtype: string |
|
- name: content |
|
dtype: string |
|
- name: input_ids |
|
sequence: int32 |
|
- name: attention_mask |
|
sequence: int8 |
|
- name: n_tok |
|
dtype: int64 |
|
- name: sample |
|
sequence: int32 |
|
- name: hash |
|
dtype: int64 |
|
- name: uniques_1 |
|
dtype: bool |
|
- name: uniques_2 |
|
dtype: bool |
|
- name: uniques_3 |
|
dtype: bool |
|
- name: uniques_g3 |
|
dtype: bool |
|
- name: sample_query |
|
sequence: int32 |
|
- name: hash_sq |
|
dtype: int64 |
|
- name: uniques |
|
dtype: bool |
|
- name: prefix_250 |
|
dtype: string |
|
- name: prefix_200 |
|
dtype: string |
|
- name: prefix_150 |
|
dtype: string |
|
- name: prefix_100 |
|
dtype: string |
|
- name: suffix |
|
dtype: string |
|
splits: |
|
- name: d1 |
|
num_bytes: 36390284 |
|
num_examples: 1000 |
|
- name: d2 |
|
num_bytes: 82410057 |
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num_examples: 1000 |
|
- name: d3 |
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num_bytes: 100435041 |
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num_examples: 1000 |
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- name: dg3 |
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num_bytes: 110727894 |
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num_examples: 1000 |
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download_size: 30652421 |
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dataset_size: 329963276 |
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configs: |
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- config_name: fine-tuning |
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data_files: |
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- split: d1 |
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path: fine-tuning/d1-* |
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- split: d2 |
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path: fine-tuning/d2-* |
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- split: d3 |
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path: fine-tuning/d3-* |
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- split: dg3 |
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path: fine-tuning/dg3-* |
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- config_name: pre-train |
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data_files: |
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- split: d1 |
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path: pre-train/d1-* |
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- split: d2 |
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path: pre-train/d2-* |
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- split: d3 |
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path: pre-train/d3-* |
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- split: dg3 |
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path: pre-train/dg3-* |
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tags: |
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- code |
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size_categories: |
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- 1K<n<10K |
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--- |
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|
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This dataset consists of the attack samples used for the paper "How Much Do Code Language Models Remember? An Investigation on Data Extraction Attacks before and after Fine-tuning" |
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|
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We have two splits: |
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- The `fine-tuning attack`, which consists of selected samples coming from the **[fine-tuning set](https://huggingface.co/datasets/AISE-TUDelft/memtune-tuning_data)** |
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- The `pre-training attack`, which consists of selected samples coming from the **[TheStack-v2](https://huggingface.co/datasets/bigcode/the-stack-v2)** on the Java section |
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|
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We have different splits depending on the duplication rate of the samples: |
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- `d1` the samples inside the training set are unique |
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- `d2` the samples inside the training set are present two times |
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- `d3` the samples inside the training set are present three times |
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- `dg3` the samples inside the training set are present more than three times |
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|