memtune-data_attack / README.md
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metadata
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
  • The pre-training attack, which consists of selected samples coming from the TheStack-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