OT Validated RL datasets
Collection
RL datasets (mostly agentic) that were validated with oracle solutions. Validation protocol: https://gist.github.com/marianna13/f9bc94d2ecb39c302c6c9b • 12 items • Updated
path stringlengths 20 20 | task_binary unknown | task_id stringlengths 20 20 | instruction stringlengths 911 10.5k | sif_image stringclasses 2
values | in_overfit_train bool 2
classes | in_diagnostic_validation bool 2
classes |
|---|---|---|---|---|---|---|
curriculum-easy-0000 | [
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... | curriculum-easy-0000 | # Easier task: implement a small compatibility module for ddtrace
Objective
- Create a minimal Python package at /app/ddtrace with an __init__.py and a module compat.py.
- The tests will import from ddtrace.compat:
- to_unicode
- PY2
- reraise
- get_connection_response
What to implement (simplified but functi... | sif-images/9e87988214902a82--build_f67de8b47d3b34b4.sif | false | false |
curriculum-easy-0001 | [
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... | curriculum-easy-0001 | ### Easier Task: Tiny swimmer ABM in a single module
- Goal
- Implement a small, deterministic swimmer agent-based model in a single Python module placed under /app/.
- The module should define two simple classes: Swimmer and Model, with a minimal, well-documented API.
- Location and structure
- Put everything ... | sif-images/9e87988214902a82--build_f67de8b47d3b34b4.sif | false | false |
curriculum-easy-0002 | [
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... | curriculum-easy-0002 | ```markdown
Simplified task: cite_seq_count preprocessing (easier)
Overview
You will create a small Python package under /app/cite_seq_count with a preprocessing module. To keep this task approachable, we only implement two core functions and provide a lightweight skeleton for the rest.
What to build (reduced scope)
... | sif-images/9e87988214902a82--build_f67de8b47d3b34b4.sif | false | false |
curriculum-easy-0003 | [
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... | curriculum-easy-0003 | # Easier Task: Simple Iterative Factorial (single-file)
Location: /app/factorial_example.py
Objective
- Implement a small, self-contained Python module that exposes a factorial function with a clear, well-typed API.
What you need to implement
- A function with the signature:
- def factorial_function(n: int) -> int... | sif-images/9e87988214902a82--build_f67de8b47d3b34b4.sif | false | false |
curriculum-easy-0004 | [
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... | curriculum-easy-0004 | # Task: Lightweight I/O buffering in a single-file Python module (easy)
Difficulty: Easy
Goal
Create a single Python module at /app/thriftrw.py that provides minimal lightweight I/O buffering utilities. The tests will import EndOfInputError, WriteBuffer, and ReadBuffer from the thriftrw module. Focus on the core beha... | sif-images/9e87988214902a82--build_f67de8b47d3b34b4.sif | false | false |
curriculum-easy-0005 | [
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... | curriculum-easy-0005 | # Easier Task: Implement simplified gretel_synthetics with a minimal config and tokenizers
This task keeps the same programming language (Python) and the same general topic (a small package gretel_synthetics with tokenization utilities and a simple config interface), but reduces the scope and complexity to make it app... | sif-images/9e87988214902a82--build_f67de8b47d3b34b4.sif | false | true |
curriculum-easy-0006 | "ZW52aXJvbm1lbnQvAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | curriculum-easy-0006 | "## Easy / Simplified MindSpore-like API task (single-file, /app/)\n\nDifficulty: Easy\n\nGoal\n- Cr(...TRUNCATED) | sif-images/9e87988214902a82--build_f67de8b47d3b34b4.sif | false | false |
curriculum-easy-0007 | "ZW52aXJvbm1lbnQvAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | curriculum-easy-0007 | "# Task: Easier Axis password/group management API (python, /app/)\n\nGoal\n- Provide a small Python(...TRUNCATED) | sif-images/9e87988214902a82--build_f67de8b47d3b34b4.sif | false | false |
curriculum-easy-0008 | "ZW52aXJvbm1lbnQvAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | curriculum-easy-0008 | "# Task: Implement a simple, dependency-free mergesort module\n\nGoal\n- Create /app/mergesort.py co(...TRUNCATED) | sif-images/9e87988214902a82--build_f67de8b47d3b34b4.sif | false | false |
curriculum-easy-0009 | "ZW52aXJvbm1lbnQvAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | curriculum-easy-0009 | "# Easy version: 2D diffusion setup (single-file, self-contained)\n\nGoal\n- Create a lightweight Py(...TRUNCATED) | sif-images/9e87988214902a82--build_f67de8b47d3b34b4.sif | true | false |
End of preview. Expand in Data Studio
TaskTrove Curriculum Easy: rootless Apptainer runtime release
This release contains 505 runnable Harbor tasks from open-thoughts/TaskTrove/DCAgent__exp_rpt_curriculum-easy@96567362fa3c41208e0954317c53767023b420eb and bundles the exact aarch64 SIF images used on Jupiter with rootless Apptainer 1.4.5. Task contents are byte-identical to the selected upstream task archives.
0 source tasks are excluded for missing required task/verifier files. The source does not provide reference solutions, so this is a production-runtime-tested release rather than an all-task oracle-certified Gate-1 release. The validation summary preserves that distinction.
Contents
tasks.parquet: deterministic Harbor task payloads.tasks.tar.zst: materialized task directories.sif-images/: 2 content-addressed aarch64 image(s), 0.65 GiB total.manifests/: compatible tasks, routing, exclusions, splits, and patches.validation/summary.json: exact validation scope and limitations.scripts/materialize_release.py: fresh runtime materializer.SHA256SUMS: checksums for every published file.
Use with Harbor
hf download laion/tasktrove-curriculum-easy-rootless-apptainer --repo-type dataset --local-dir release
cd release && sha256sum -c SHA256SUMS
python scripts/materialize_release.py --runtime-root runtime
harbor run -p runtime/tasks -e apptainer --environment-kwarg sif_cache=$PWD/runtime/sif-cache ...
The images are aarch64, not x86_64. See dataset_manifest.json and provenance/ for immutable source and Harbor-runtime details.
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