README.md

metadata

license: cc-by-4.0
task_categories:
  - reinforcement-learning
language:
  - en
tags:
  - recursive-task-synthesis
  - command-line
  - synthetic-tasks
configs:
  - config_name: default
    data_files:
      - split: train
        path: metadata/tasks.parquet

Recursive Task Synthesis

Only tasks with completed PUBLIC platform container and VM artifacts at the 2026-09-17T02:53:50.654736+00:00 registry audit are included. The excluded IDs, reasons and last failed build IDs are recorded in exclusions.json. Exclusions affect both metadata rows and complete TAR task packages. This is a hosting filter, not gold validation. Recheck both artifact types and remove recovered IDs from the preparation sidecar to restore them from the pinned source. The patch evidence below also describes excluded tasks; consult the sidecar for current membership.

Source: Zhongzhi1228/Recursive-Task-Synthesis, revision be44f96808d5a9b599d5cb024341ff00091adeb7. 37,353 rows retained; 131 temporarily excluded.

Nine Dockerfile repairs preserve the original task problems while fixing tmux installation. A further 47 tasks have verified repairs: 42 process checks, three reward-output paths, and two PostgreSQL startup prerequisites. These 47 tasks scored gold 1 and no-op 0 in live checks. Three reference scripts exit nonzero but their verifier rewards are 1; validity follows verifier reward.

Repairs update task packages and corresponding metadata together. Instructions and reference solutions remain unchanged. Dockerfile-only repairs retain validation_status=patched_unverified; the verified repairs use patched_gold_verified. This does not claim full-corpus correctness.

The Docker-daemon recovery is deferred until its platform image is rebuilt and validated; the current release does not claim that repair. No images are built by this preparation script.

patches.json records source hashes, patch evidence and the content-hash algorithm used for modified tasks. Unmodified hashes retain their upstream meaning. TAR sizes/checksums and task byte counts are updated. Preparation code lives in prime-data. Original attribution and CC-BY-4.0 license follow below.

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This dataset contains 37,484 validated command-line task instances produced through recursive task synthesis. Public identifiers are opaque and stable.

• metadata/tasks.parquet: one searchable row per task instance.
• metadata/shard_manifest.jsonl: TAR sizes and SHA256 checksums.
• data/tasks-*.tar: sanitized runnable task packages.

The searchable task rows include:

• instruction: contents of instruction.md.
• task_toml: contents of task.toml.
• solution: contents of solution/solve.sh, or null when absent.
• dockerfile: contents of environment/Dockerfile, or null when absent.
• member_prefix and shard: locations of the complete runnable task package.

from datasets import load_dataset

tasks = load_dataset("Zhongzhi1228/Recursive-Task-Synthesis", split="train")

License, attribution, and modifications

This dataset is released under the Creative Commons Attribution 4.0 International License. See LICENSE for the complete legal text.

The dataset was produced through recursive task synthesis and executable validation. Depending on the task, instructions, solutions, verifiers, environments, metadata, identifiers, and packaging were rewritten, extended, sanitized, or regenerated. Each published task is paired with searchable metadata and a complete runnable package.

This license covers the original contributions and adaptations that the publisher has authority to license. It does not grant rights over third-party materials beyond what is permitted by their original terms.

Detailed methodology, provenance, and related-work attribution are documented in the accompanying paper.