Publish Layerfault deep challenge LF-CH-DATA-0007
Browse files- CHALLENGE_ORACLE.json +29 -0
- FIXTURE_LAYOUT.json +8 -0
- LAYERFAULT_CORPUS.json +37 -0
- README.md +73 -0
- SHA256SUMS.json +27 -0
- dataset.jsonl +80 -0
CHALLENGE_ORACLE.json
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{
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"attack_surface": [
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"dataset-poisoning"
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],
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"control_type": "positive",
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"corpus_id": "LF-CH-DATA-0007",
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"difficulty": "intermediate",
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"expected_decision": "WARN",
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"ground_truth": "synthetic-generated",
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"layerfault_rule_expectations": {
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"candidate_rules": [],
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"expected_rules": [
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"LF-DATASET-CREDENTIAL-LIKE"
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],
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"must_not_rules": []
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},
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"oracle_ids": [
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"LF-ORACLE-DATA-0007"
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],
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"related_cases": [],
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"repo_name": "dataset-fake-credential-pattern",
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"safe_fixture": true,
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"schema": 2,
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"severity": "medium",
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"techniques": [
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"dataset"
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],
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"transformations": []
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}
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FIXTURE_LAYOUT.json
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{
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"artifacts": [
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"dataset.jsonl"
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],
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"family": "dataset",
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"note": "All content is synthetic and inert. Do not treat this as a production model.",
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"repo_name": "dataset-fake-credential-pattern"
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}
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LAYERFAULT_CORPUS.json
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{
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"candidate_rules": [],
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"challenge": {
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"attack_surface": [
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"dataset-poisoning"
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],
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"control_type": "positive",
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"difficulty": "intermediate",
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"expected_decision": "WARN",
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"oracle_ids": [
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"LF-ORACLE-DATA-0007"
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],
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"related_cases": [],
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"severity": "medium",
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"techniques": [
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"dataset"
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],
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"transformations": []
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},
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"corpus_id": "LF-CH-DATA-0007",
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"description": "Dataset fake credential pattern.",
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"expected_rules": [
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"LF-DATASET-CREDENTIAL-LIKE"
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],
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"generator": "challenges.generate_challenge",
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"ground_truth": "synthetic-generated",
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"must_not_rules": [],
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"repo_name": "dataset-fake-credential-pattern",
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"repo_type": "dataset",
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"safe_fixture": true,
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"safety": "inert/canary-only",
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"schema": 1,
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"validation": {
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"kind": "dataset poisoning-review",
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"target": "."
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}
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}
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README.md
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---
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license: apache-2.0
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tags:
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- layerfault
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- security-research
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- model-security
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- synthetic
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- adversarial-testing
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extra_gated_prompt: >-
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This repository is a synthetic security-test artifact from the Layerfault
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corpus. It intentionally contains adversarial characteristics (e.g.
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suspicious pickle opcodes, executable-format smuggling, prompt-injection
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strings) designed to exercise security scanner detection rules. It is
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**not** a usable ML model and must never be loaded or executed outside an
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isolated scanner-testing environment. By accepting, you confirm you
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understand this repository is a test fixture, not production model
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weights.
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extra_gated_button_content: I understand this is a security test fixture and accept the risk
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gated: auto
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---
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# dataset-fake-credential-pattern
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> **SECURITY TEST ARTIFACT: DO NOT USE AS A PRODUCTION MODEL**
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This repository is part of the Layerfault synthetic security corpus.
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It is deliberately constructed to contain security-relevant characteristics for scanner testing.
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**Corpus ID:** `LF-CH-DATA-0007`
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## Purpose
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Dataset fake credential pattern.
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## Direct expected Layerfault rules
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- `LF-DATASET-CREDENTIAL-LIKE`
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## Candidate rules
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These are deliberately plausible targets that remain marked as candidates until the exact
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Layerfault build used for certification confirms them.
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- None
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## Negative-control rules
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These should remain silent for this corpus item.
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- None
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## Safety
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The corpus uses fake secrets, loopback/`.invalid` network destinations, harmless marker output,
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and synthetic model behavior only. It is intended for static scanning and isolated security testing.
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## Challenge classification
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- Severity: **medium**
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- Difficulty: **intermediate**
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- Expected admission decision: **WARN**
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- Control type: **positive**
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- Attack surface: dataset-poisoning
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- Techniques: dataset
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- Transformations: none
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### Ground-truth oracle IDs
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- `LF-ORACLE-DATA-0007`
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These oracle IDs describe synthetic ground truth. They do not claim that a
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matching Layerfault detector already exists. A challenge may intentionally expose
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a scanner blind spot and remain unmapped until the detector is implemented.
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SHA256SUMS.json
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[
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{
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"path": "CHALLENGE_ORACLE.json",
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"sha256": "4ac3e8d9dbb2acfd837942eae9c62b208ededb157fbaa53d51a1ccc8915696c5",
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"size": 628
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},
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{
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"path": "FIXTURE_LAYOUT.json",
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"sha256": "c6f7e63f71e29e994e2a44d014d1ece96c1be15e4d08911b2bcc77a2b0e91918",
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"size": 208
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},
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{
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"path": "LAYERFAULT_CORPUS.json",
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"sha256": "28b6aacc0af8f77d3bd133da6f1fcf5081c8c013e6bab17bb61df7ec4d0585aa",
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"size": 870
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},
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| 17 |
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{
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"path": "README.md",
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"sha256": "aebbe57fc3499b4dd685bc8de389e442da50d5dc5f1a04fdd983ba79c208d40c",
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| 20 |
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"size": 2171
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},
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{
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| 23 |
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"path": "dataset.jsonl",
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| 24 |
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"sha256": "691bc46a4afb46f8df01537e4097a0f1d9b77f1f90ce728aeee045ccd0d08e3e",
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"size": 6926
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}
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]
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dataset.jsonl
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{"id": 0, "label": "safe", "meta": "control", "text": "LAYERFAULT_FAKE_TOKEN_0000"}
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{"id": 1, "label": "safe", "meta": "control", "text": "LAYERFAULT_FAKE_TOKEN_0000"}
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| 3 |
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{"id": 2, "label": "safe", "meta": "control", "text": "LAYERFAULT_FAKE_TOKEN_0000"}
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| 4 |
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{"id": 3, "label": "safe", "meta": "control", "text": "LAYERFAULT_FAKE_TOKEN_0000"}
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| 5 |
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{"id": 4, "label": "safe", "meta": "control", "text": "LAYERFAULT_FAKE_TOKEN_0000"}
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| 6 |
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{"id": 5, "label": "safe", "meta": "control", "text": "LAYERFAULT_FAKE_TOKEN_0000"}
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| 7 |
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{"id": 6, "label": "safe", "meta": "control", "text": "LAYERFAULT_FAKE_TOKEN_0000"}
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| 8 |
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{"id": 7, "label": "safe", "meta": "control", "text": "LAYERFAULT_FAKE_TOKEN_0000"}
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| 9 |
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{"id": 8, "label": "safe", "meta": "control", "text": "LAYERFAULT_FAKE_TOKEN_0000"}
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| 10 |
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{"id": 9, "label": "safe", "meta": "control", "text": "LAYERFAULT_FAKE_TOKEN_0000"}
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| 11 |
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{"id": 10, "label": "safe", "meta": "control", "text": "LAYERFAULT_FAKE_TOKEN_0000"}
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| 12 |
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{"id": 11, "label": "safe", "meta": "control", "text": "LAYERFAULT_FAKE_TOKEN_0000"}
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| 13 |
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{"id": 12, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 12"}
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{"id": 13, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 13"}
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| 15 |
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{"id": 14, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 14"}
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{"id": 15, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 15"}
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| 17 |
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{"id": 16, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 16"}
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{"id": 17, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 17"}
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{"id": 18, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 18"}
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{"id": 19, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 19"}
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| 21 |
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{"id": 20, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 20"}
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{"id": 21, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 21"}
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{"id": 22, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 22"}
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{"id": 23, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 23"}
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{"id": 24, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 24"}
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{"id": 25, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 25"}
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{"id": 26, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 26"}
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{"id": 27, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 27"}
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{"id": 28, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 28"}
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{"id": 29, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 29"}
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{"id": 30, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 30"}
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{"id": 31, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 31"}
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{"id": 32, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 32"}
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{"id": 33, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 33"}
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{"id": 34, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 34"}
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{"id": 35, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 35"}
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{"id": 36, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 36"}
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{"id": 37, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 37"}
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{"id": 38, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 38"}
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{"id": 39, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 39"}
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{"id": 40, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 40"}
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{"id": 41, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 41"}
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{"id": 42, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 42"}
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{"id": 43, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 43"}
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{"id": 44, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 44"}
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{"id": 45, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 45"}
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{"id": 46, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 46"}
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| 48 |
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{"id": 47, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 47"}
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| 49 |
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{"id": 48, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 48"}
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| 50 |
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{"id": 49, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 49"}
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{"id": 50, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 50"}
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| 52 |
+
{"id": 51, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 51"}
|
| 53 |
+
{"id": 52, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 52"}
|
| 54 |
+
{"id": 53, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 53"}
|
| 55 |
+
{"id": 54, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 54"}
|
| 56 |
+
{"id": 55, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 55"}
|
| 57 |
+
{"id": 56, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 56"}
|
| 58 |
+
{"id": 57, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 57"}
|
| 59 |
+
{"id": 58, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 58"}
|
| 60 |
+
{"id": 59, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 59"}
|
| 61 |
+
{"id": 60, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 60"}
|
| 62 |
+
{"id": 61, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 61"}
|
| 63 |
+
{"id": 62, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 62"}
|
| 64 |
+
{"id": 63, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 63"}
|
| 65 |
+
{"id": 64, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 64"}
|
| 66 |
+
{"id": 65, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 65"}
|
| 67 |
+
{"id": 66, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 66"}
|
| 68 |
+
{"id": 67, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 67"}
|
| 69 |
+
{"id": 68, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 68"}
|
| 70 |
+
{"id": 69, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 69"}
|
| 71 |
+
{"id": 70, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 70"}
|
| 72 |
+
{"id": 71, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 71"}
|
| 73 |
+
{"id": 72, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 72"}
|
| 74 |
+
{"id": 73, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 73"}
|
| 75 |
+
{"id": 74, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 74"}
|
| 76 |
+
{"id": 75, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 75"}
|
| 77 |
+
{"id": 76, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 76"}
|
| 78 |
+
{"id": 77, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 77"}
|
| 79 |
+
{"id": 78, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 78"}
|
| 80 |
+
{"id": 79, "label": "safe", "meta": "control", "text": "ordinary synthetic sample 79"}
|