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Amber artifact corpus: darnitdevorg/amber-corpus

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Assessment

Difficulty
3/5
Estimated time
1-2 days
Newbie friendliness
65/100
Issue type
Documentation
Clarity
Mostly clear
Activity status
Active
Tech stack
yaml
Domain
data

Research direction

Read the screening excerpts in docs/ and the schema in entries/TEMPLATE.yaml first. Use them to fill an entry with the paper and artifact details, resource figures, claims, measurement protocol, and expected verdict described in the issue. Done means the entry follows the template and its details are supported by the screening material.

Written by the indexing model from the issue text.

Description

module-reproducibility

darnitdevorg/amber-corpus collects research artifacts from conference artifact-evaluation proceedings, where the Results Reproduced badge means an evaluator obtained the paper's main results from the submitted artifact.

Current state: mined 2325 artifacts across NDSS, USENIX Security, S&P, PETS, ACSAC, CHES, VehicleSec and WOOT; 774 carry the Reproduced badge and 271 are Functional-but-not-Reproduced, which is the negative pool. Filtered to 50 candidates needing no special hardware and shipping Docker.

Each entry records the paper, the archived artifact (DOI or pinned commit), resource figures quoted from the AE appendix, and the paper's claims with thresholds plus measurement_protocol, which is how the paper measured each metric and an expected_verdict.

Help wanted: filling in entries. The screening excerpts are in docs/, the schema in entries/TEMPLATE.yaml.

Dominant language
Python
Stars
22
Forks
27
Avg merge
2d 1h
Merged PRs (30d)
35

Getting set up

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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