README.md

metadata

license: apache-2.0
language:
  - en
size_categories:
  - n<1K
tags:
  - reinforcement-learning
  - code
  - llm
  - swe-rl
  - harbor
  - pr_diff

aws-cli-diff

Generated by Repo2RLEnv — turning real GitHub repositories into verifiable RL environments.

💡 Browse this dataset in your browser — click the badge above or open HuggingFaceH4/harbor-visualiser to inspect every task's spec, instruction, oracle patch, test script, and Dockerfile.

• Source repo: aws/aws-cli
• Pipeline: pr_diff
• Tasks: 15
• Visibility: public
• Spec: Harbor task format with the [metadata.repo2env] extension

How it was generated

Each task in this dataset was produced by the pr_diff pipeline. The pipeline mines real merged pull requests / commits from the source repo(s), applies quality filters, strips information-leakage from the instruction text, and emits a Harbor-shaped task directory with the gold patch as the oracle.

Reproduce locally:

pip install repo2rlenv
repo2rlenv generate \
  --repo <owner>/<repo> \
  --pipeline pr_diff \
  --pipeline-opt limit=10 \
  --out ./datasets/my-pr_diff

See the pipeline docs for the full option list + reward design.

Run with Harbor

Each task ships a environment/Dockerfile and tests/test.sh, so you can score patches end-to-end:

# Pull the dataset locally
repo2rlenv pull Ktanmay21/aws-cli-diff /tmp/aws-cli-diff

# Confirm structural soundness — oracle adapter applies the gold patch
# and must score reward = 1.000
harbor run -p /tmp/aws-cli-diff -a oracle --env docker

# Score an agent (claude-code + Sonnet 4.6)
harbor run \
  -p /tmp/aws-cli-diff \
  -a claude-code -m anthropic/claude-sonnet-4-6 \
  --ak max_budget_usd=2.00 \
  --ae ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY \
  --env docker

The reward is a 6-component diff-similarity score (format / size / file-targeting / region-overlap / changes-only similarity / LLM-judge). The --ve ANTHROPIC_API_KEY=... verifier-env pass enables the LLM-judge component; without it the verifier still produces a valid score with llm_judge: null and the deterministic weights renormalized. Full breakdown in /logs/verifier/reward.json.

Reward signal

The reward function is part of the task itself (tests/test.sh + the verifier code baked into the image). The full per-task breakdown is written to /logs/verifier/reward.json at run time — useful for slicing training data by component.

See the pipeline doc for the component-by-component design.

Layout

tasks/
└── <task-id>/
    ├── task.toml          # Harbor task with [metadata.repo2env]
    ├── instruction.md     # natural-language prompt
    ├── solution/
    │   ├── patch.diff     # oracle (gold) diff
    │   └── solve.sh       # oracle adapter applies patch.diff
    ├── environment/
    │   └── Dockerfile     # builds the task's container
    └── tests/
        └── test.sh        # verifier — writes /logs/verifier/reward.txt

License

Apache-2.0 — same as Repo2RLEnv itself. The original PR contents remain under their respective source-repo licenses; this dataset redistributes public commits under fair-use for ML research / training-data purposes.