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| license: other | |
| license_name: mixed-source-licenses | |
| license_link: https://huggingface.co/datasets/HuggingEnvs/HF_ML_Tasksmith/blob/main/LICENSES.md | |
| language: | |
| - en | |
| tags: | |
| - rl-environment | |
| - reinforcement-learning | |
| - coding | |
| - harbor | |
| - repo2rlenv | |
| - tasksmith | |
| size_categories: | |
| - n<1K | |
| viewer: false | |
| [](https://huggingface.co/spaces/HuggingFaceH4/harbor-visualiser?dataset=FineEnvs/HF_ML_Tasksmith) | |
| # HF ML Tasksmith | |
| Fifty PR-derived Harbor tasks from Accelerate, Diffusers, PEFT, Transformers and TRL, including CPU and GPU tasks. | |
| Contains **50 Harbor tasks** generated with the owned | |
| `tasksmith` recipe in [Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv). | |
| Browse the complete task bundles in [Harbor Visualiser](https://huggingface.co/spaces/HuggingFaceH4/harbor-visualiser?dataset=FineEnvs/HF_ML_Tasksmith) or | |
| [open the task folders](https://huggingface.co/datasets/HuggingEnvs/HF_ML_Tasksmith/tree/main/tasks). Each folder is a runnable Harbor task: | |
| ```text | |
| tasks/<task_id>/ | |
| ├── task.toml # Harbor configuration and provenance | |
| ├── instruction.md # Task shown to the coding agent | |
| ├── environment/Dockerfile # Learner sandbox and its build context | |
| ├── solution/solve.sh # Reference solution entry point | |
| └── tests/ | |
| ├── test.sh # Verifier entry point; writes the reward | |
| └── Dockerfile # Separate verifier sandbox, when configured | |
| ``` | |
| Example: [task.toml](https://huggingface.co/datasets/HuggingEnvs/HF_ML_Tasksmith/blob/main/tasks/tasksmith-03a6a091b12f/task.toml) · | |
| [instruction](https://huggingface.co/datasets/HuggingEnvs/HF_ML_Tasksmith/blob/main/tasks/tasksmith-03a6a091b12f/instruction.md) · | |
| [verifier](https://huggingface.co/datasets/HuggingEnvs/HF_ML_Tasksmith/blob/main/tasks/tasksmith-03a6a091b12f/tests/test.sh) · | |
| [oracle](https://huggingface.co/datasets/HuggingEnvs/HF_ML_Tasksmith/blob/main/tasks/tasksmith-03a6a091b12f/solution/solve.sh). | |
| `data/tasks.jsonl` is an auxiliary metadata index. Download the task folders or | |
| archive below to run the environments. `manifest.json` records source identity, | |
| evidence, diagnostics and measured costs. The generic tabular Hub viewer is | |
| disabled so it does not present the index as the task dataset. | |
| ## Generation | |
| Tasksmith explores a merged PR, bootstraps the repository, designs an instruction and deterministic verifier, packages offline assets and a reference solution, then applies bounded review, repair, baseline/oracle checks, probes and blind Sonnet rollouts. This release is an assisted practical-acceptance campaign; source PRs, execution controls and independent audit hashes are bound per task. | |
| Implementation revision: `a8ea8fa644ec4c3980291f00d7f8190cdfb45a45`. The exact recipe, source revision, | |
| reward kinds and quality status remain in each original `task.toml`. | |
| ## Validation and limitations | |
| Quality label counts: `{"verified": 50}`. | |
| An `exported` task is a generation artifact. Baseline/reference controls establish | |
| only the behavior recorded in that task's evidence. They do not establish blind | |
| solver success, difficulty, verifier completeness or resistance to reward hacking. | |
| An LLM consistency review is separate from the deterministic task reward. | |
| - 50 assisted practical-acceptance tasks: this is not an unattended yield estimate. | |
| - Sonnet fully solved 19 tasks; 31 did not receive full reward. Solver success was not required for task acceptance. | |
| - 39 tasks request CPU only, 6 request one GPU and 5 request two GPUs; select a provider with matching resources. | |
| - Existing task metadata may reference historical local evidence paths; use the published manifest for portable acceptance summaries and evidence hashes. | |
| - Source files retain upstream repository licenses. | |
| ## Download and run | |
| `tasks.tar.gz` preserves executable file modes and the original bundle identities: | |
| ```bash | |
| hf download HuggingEnvs/HF_ML_Tasksmith tasks.tar.gz --repo-type dataset --local-dir ./dataset | |
| tar -xzf ./dataset/tasks.tar.gz -C ./dataset | |
| harbor run --path ./dataset/tasks --agent oracle --env daytona | |
| ``` | |
| Configure Daytona credentials and Harbor's provider dependencies before execution. | |
| The archive includes references and private tests for the harness; the solver | |
| should receive only the instruction and learner environment. `registry.json` | |
| pins the unpacked task paths to the immutable upload commit. | |
| ## Economics | |
| `manifest.json` includes generation costs, failed-attempt costs and outstanding | |
| reservations when available. Cloud lifetime estimates are labeled separately from | |
| provider invoices. Retained task costs and new-generation costs use separate scopes. | |
| ## Credits and licensing | |
| - https://github.com/huggingface/Repo2RLEnv/blob/a8ea8fa644ec4c3980291f00d7f8190cdfb45a45/docs/rfcs/0028-tasksmith-pr-pilot.md | |
| - https://github.com/huggingface/Repo2RLEnv/blob/a8ea8fa644ec4c3980291f00d7f8190cdfb45a45/docs/pipelines/tasksmith_campaign_retrospective.md | |
| - https://www.harborframework.com/docs/tasks | |
| - https://github.com/huggingface/transformers | |
| - https://github.com/huggingface/trl | |
| - https://github.com/huggingface/peft | |
| - https://github.com/huggingface/diffusers | |
| - https://github.com/huggingface/accelerate | |
| See [LICENSES.md](LICENSES.md), bundled notices and per-task provenance. These are | |
| owned adaptations inspired by the credited methods, not an upstream benchmark | |
| release or a claim of exact reproduction of its published results. | |
| ## Citation | |
| ```bibtex | |
| @misc{fineenvs, | |
| author = {Kolavi, Adithya S}, | |
| title = {FineEnvs: Open Source RL Environments for LLM Agents}, | |
| year = {2026}, | |
| url = {https://github.com/adithya-s-k/FineEnvs} | |
| } | |
| ``` | |