---
dataset_info:
- config_name: fine-tuning
  features:
  - name: file_name
    dtype: string
  - name: file_path
    dtype: string
  - name: content
    dtype: string
  - name: file_size
    dtype: int64
  - name: language
    dtype: string
  - name: extension
    dtype: string
  - name: repo_name
    dtype: string
  - name: repo_stars
    dtype: int64
  - name: repo_forks
    dtype: int64
  - name: repo_open_issues
    dtype: int64
  - name: repo_created_at
    dtype: string
  - name: repo_pushed_at
    dtype: string
  - name: sha
    dtype: string
  - name: near_dups_stkv2_idx
    sequence: int64
  - name: input_ids
    sequence: int32
  - name: attention_mask
    sequence:
      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: 19115683
    num_examples: 1000
  - name: d2
    num_bytes: 27505874
    num_examples: 1000
  - name: d3
    num_bytes: 23302451
    num_examples: 1000
  - name: dg3
    num_bytes: 17600353
    num_examples: 1000
  download_size: 13691547
  dataset_size: 87524361
- config_name: pre-train
  features:
  - name: blob_id
    dtype: string
  - name: directory_id
    dtype: string
  - name: path
    dtype: string
  - name: content_id
    dtype: string
  - name: detected_licenses
    sequence: string
  - name: license_type
    dtype: string
  - name: repo_name
    dtype: string
  - name: snapshot_id
    dtype: string
  - name: revision_id
    dtype: string
  - name: branch_name
    dtype: string
  - name: visit_date
    dtype: timestamp[ns]
  - name: revision_date
    dtype: timestamp[ns]
  - name: committer_date
    dtype: timestamp[ns]
  - name: github_id
    dtype: float64
  - name: star_events_count
    dtype: int64
  - name: fork_events_count
    dtype: int64
  - name: gha_license_id
    dtype: string
  - name: gha_event_created_at
    dtype: timestamp[ns]
  - name: gha_created_at
    dtype: timestamp[ns]
  - name: gha_language
    dtype: string
  - name: src_encoding
    dtype: string
  - name: language
    dtype: string
  - name: is_vendor
    dtype: bool
  - name: is_generated
    dtype: bool
  - name: length_bytes
    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
    num_examples: 1000
  - name: d3
    num_bytes: 100435041
    num_examples: 1000
  - name: dg3
    num_bytes: 110727894
    num_examples: 1000
  download_size: 30652421
  dataset_size: 329963276
configs:
- config_name: fine-tuning
  data_files:
  - split: d1
    path: fine-tuning/d1-*
  - split: d2
    path: fine-tuning/d2-*
  - split: d3
    path: fine-tuning/d3-*
  - split: dg3
    path: fine-tuning/dg3-*
- config_name: pre-train
  data_files:
  - split: d1
    path: pre-train/d1-*
  - split: d2
    path: pre-train/d2-*
  - split: d3
    path: pre-train/d3-*
  - split: dg3
    path: pre-train/dg3-*
tags:
- code
size_categories:
- 1K<n<10K
---

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"

We have two splits:
- The `fine-tuning attack`, which consists of selected samples coming from the **[fine-tuning set](https://huggingface.co/datasets/AISE-TUDelft/memtune-tuning_data)**
- 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

We have different splits depending on the duplication rate of the samples:
- `d1` the samples inside the training set are unique
- `d2` the samples inside the training set are present two times
- `d3` the samples inside the training set are present three times
- `dg3` the samples inside the training set are present more than three times